#AI-based machine monitoring systems

[thirdeye-ai]

AI-Based Machine Monitoring Systems: Use Cases, Trends, Challenges, and Benefits

In recent years, Artificial Intelligence (AI) has become a cornerstone of Industry 4.0, enabling smarter, more efficient operations across industries. One of the most promising applications is AI-based machine monitoring systems. These systems leverage advanced algorithms and real-time data analysis to optimize equipment performance, predict failures, and improve operational efficiency. In this blog, we explore the use cases, trends, challenges, and benefits of AI-driven machine monitoring systems.

What is AI-Based Machine Monitoring?

AI-based machine monitoring refers to the use of artificial intelligence and machine learning technologies to oversee and assess the performance of industrial equipment in real time. Traditional monitoring systems often rely on manual data collection and rule-based automation. AI-based systems, however, harness vast amounts of data from sensors, controllers, and other industrial components to make predictive and autonomous decisions.

With these systems, businesses can identify issues before they cause downtime, reduce human errors, and enhance productivity. The technology typically uses predictive analytics, anomaly detection, and real-time monitoring, providing insights that can preempt costly breakdowns or inefficiencies.

Use Cases of AI-Based Machine Monitoring Systems

Predictive Maintenance One of the most common applications of AI-based monitoring is predictive maintenance. AI systems analyze data from machinery sensors, such as temperature, vibration, and pressure, to predict when equipment will likely fail. This allows maintenance teams to service the machines before breakdowns occur, reducing unplanned downtime and extending the equipment’s life cycle.

Quality Control AI can monitor production quality by analyzing data from various stages of the manufacturing process. It can detect defects or deviations in real-time, improving product consistency and reducing waste. AI systems can automatically adjust machine parameters to ensure quality standards are maintained.

Energy Efficiency Optimization AI-driven monitoring systems can track and analyze energy consumption patterns across machines, helping to identify inefficiencies. By optimizing machine performance and reducing energy waste, these systems contribute to significant cost savings and more sustainable operations.

Supply Chain Management Machine monitoring systems can be integrated into supply chain management to improve scheduling, inventory management, and demand forecasting. AI can analyze machine performance data to predict delays or bottlenecks, allowing businesses to adapt their supply chains accordingly.

Remote Monitoring In industries like oil and gas, AI-based machine monitoring enables remote tracking of equipment performance. It can be especially useful for monitoring machinery in geographically remote or hazardous environments, reducing the need for on-site personnel and increasing operational safety.

Trends in AI-Based Machine Monitoring

Edge Computing Edge computing, where data processing occurs at or near the data source, is becoming increasingly common in AI-based machine monitoring. This reduces latency and allows for real-time decision-making, even when connected to cloud-based analytics.

Integration with IoT AI systems is often integrated with the Internet of Things (IoT), enabling seamless data collection from various devices and sensors. The fusion of AI and IoT accelerates data-driven decision-making, making industrial operations smarter and more interconnected.

Adoption of Digital Twins Digital twins — virtual replicas of physical systems — are becoming a significant trend. AI monitors the digital twin to simulate different operational conditions and predict how the real machine will perform under various scenarios, further enhancing predictive maintenance and optimization.

AI in Small and Medium Enterprises (SMEs) While AI adoption in machine monitoring was once reserved for large industries, SMEs are now increasingly adopting these technologies due to decreasing costs and easier implementation. This democratization is driving the expansion of AI-based monitoring across sectors.

Challenges of AI-Based Machine Monitoring

Data Quality and Availability AI algorithms rely heavily on high-quality, clean data. If the data is incomplete, noisy, or inconsistent, it can lead to inaccurate predictions and decisions. Ensuring a continuous stream of reliable data can be challenging, especially in older industries with legacy systems.

Implementation Costs The initial setup of AI-based monitoring systems, including hardware, software, and training, can be expensive. For small companies, the cost can be a significant barrier to entry. However, as the technology matures, costs are expected to decrease over time.

Integration with Legacy Systems Many industries still rely on legacy systems that were not designed for AI or real-time data integration. Retrofitting these systems can be complex, time-consuming, and costly, requiring specialized expertise.

Workforce Training AI-based monitoring requires new skill sets, such as data analytics, AI model management, and machine learning operations. Employees need to be trained to work effectively with these systems, which can be a time-consuming and resource-intensive process.

Benefits of AI-Based Machine Monitoring Systems

Reduced Downtime Predictive maintenance helps prevent unexpected equipment failures, significantly reducing downtime. This not only improves productivity but also enhances overall operational efficiency.

Cost Savings By identifying inefficiencies and optimizing machine performance, AI-based monitoring reduces energy consumption and maintenance costs. Predictive maintenance also minimizes the need for emergency repairs, saving on labor and parts.

Enhanced Decision-Making AI provides actionable insights from vast amounts of data that would be impossible for humans to process manually. These insights help organizations make data-driven decisions, improving operational planning and execution.

Improved Safety AI-based systems can detect potential safety hazards in machinery before they escalate, protecting workers and preventing accidents. Remote monitoring capabilities further reduce the need for human presence in dangerous environments.

Conclusion

AI-based machine monitoring systems represent a transformative technology that enhances operational efficiency, reduces costs, and improves safety across industries. While challenges such as data quality and implementation costs exist, the long-term benefits, including predictive maintenance, energy optimization, and quality control, make AI-driven machine monitoring a valuable investment for businesses looking to stay competitive in the era of Industry 4.0. As the technology evolves, the barriers to entry will lower, making it more accessible to industries of all sizes.

[saintobio]

THE TERMINATOR'S CURSE. (spinoff to THE COLONEL SERIES)

in this new world, technological loneliness is combated with AI Companions—synthetic partners modeled from memories, faces, and behaviors of any chosen individual. the companions are coded to serve, to soothe, to simulate love and comfort. Caleb could’ve chosen anyone. his wife. a colleague. a stranger... but he chose you.

➤ pairings. caleb, fem!reader

➤ genre. angst, sci-fi dystopia, cyberpunk au, 18+

➤ tags. resurrected!caleb, android!reader, non mc!reader, ooc, artificial planet, post-war setting, grief, emotional isolation, unrequited love, government corruption, techno-ethics, identity crisis, body horror, memory & emotional manipulation, artificial intelligence, obsession, trauma, hallucinations, exploitation, violence, blood, injury, death, smut (dubcon undertones due to power imbalance and programming, grief sex, non-traditional consent dynamics), themes of artificial autonomy, loss of agency, unethical experimentation, references to past sexual assault (non-explicit, not from Caleb). themes contain disturbing material and morally gray dynamics—reader discretion is strongly advised.

➤ notes. 12.2k wc. heavily based on the movies subservience and passengers with inspirations also taken from black mirror. i have consumed nothing but sci-fi for the past 2 weeks my brain is so fried :’D reblogs/comments are highly appreciated!

BEFORE YOU BEGIN ! this fic serves as a spinoff to the THE COLONEL SERIES: THE COLONEL’S KEEPER and THE COLONEL’S SAINT. while the series can be read as a standalone, this spinoff remains canon to the overarching universe. for deeper context and background, it’s highly recommended to read the first two fics in the series.

The first sound was breath.

“Hngh…” 

It was shallow, labored like air scraping against rusted metal. He mumbled something under his breath after—nothing intelligible, just remnants of an old dream, or perhaps a memory. His eyelids twitched, lashes damp with condensation. To him, the world was blurred behind frosted glass. To those outside, rows of stasis pods lined the silent room, each one labeled, numbered, and cold to the touch.

Inside Pod No. 019 – Caleb Xia.

A faint drip… drip… echoed in the silence.

“…Y/N…?”

The heart monitor jumped. He lay there shirtless under sterile lighting, with electrodes still clinging to his temple. A machine next to him emitted a low, steady hum.

 “…I’m sorry…”

And then, the hiss. The alarm beeped. 

SYSTEM INTERFACE:  Code Resurrection 7.1 successful.  Subject X-02—viable.  Cognitive activity: 63%.  Motor function: stabilizing.

He opened his eyes fully, and the ceiling was not one he recognizes. It didn’t help that the air also smelled different. No gunpowder. No war. No earth.

As the hydraulics unsealed the chamber, steam also curled out like ghosts escaping a tomb. His body jerked forward with a sharp gasp, as if he was a drowning man breaking the surface. A thousand sensors detached from his skin as the pod opened with a sigh, revealing the man within—suspended in time, untouched by age. Skin pallid but preserved. A long time had passed, but Caleb still looked like the soldier who never made it home.

Only now, he was missing a piece of himself.

Instinctively, he examined his body and looked at his hands, his arm—no, a mechanical arm—attached to his shoulder that gleamed under the lights of the lab. It was obsidian-black metal with veins of circuitry pulsing faintly beneath its surface. The fingers on the robotic arm twitched as if following a command. It wasn’t human, certainly, but it moved with the memory of muscle.

“Haaah!” The pod’s internal lighting dimmed as Caleb coughed and sat up, dazed. A light flickered on above his head, and then came a clinical, feminine voice. 

“Welcome back, Colonel Caleb Xia.”

A hologram appeared to life in front of his pod—seemingly an AI projection of a soft-featured, emotionless woman, cloaked in the stark white uniform of a medical technician. She flickered for a moment, stabilizing into a clear image.

“You are currently located in Skyhaven: Sector Delta, Bio-Resurrection Research Wing. Current Earth time: 52 years, 3 months, and 16 days since your recorded time of death.”

Caleb blinked hard, trying to breathe through the dizziness, trying to deduce whether or not he was dreaming or in the afterlife. His pulse raced.

“Resurrection successful. Neural reconstruction achieved on attempt #17. Arm reconstruction: synthetic. Systemic functions: stabilized. You are classified as Property-Level under the Skyhaven Initiative. Status: Experimental Proof of Viability.”

“What…” Caleb rasped, voice hoarse and dry for its years unused. “What the fuck are you talkin’ about?” Cough. Cough. “What hell did you do to me?”

The AI blinked slowly.

“Your remains were recovered post-crash, partially preserved in cryo-state due to glacial submersion. Reconstruction was authorized by the Skyhaven Council under classified wartime override protocols. Consent not required.”

Her tone didn’t change, as opposed to the rollercoaster ride that his emotions were going through. He was on the verge of becoming erratic, restrained only by the high-tech machine that contained him. 

“Your consciousness has been digitally reinforced. You are now a composite of organic memory and neuro-augmented code. Welcome to Phase II: Reinstatement.”

Caleb’s breath hitched. His hand moved—his real hand—to grasp the edge of the pod. But the other, the artificial limb, buzzed faintly with phantom sensation. He looked down at it in searing pain, attempting to move the fingers slowly. The metal obeyed like muscle, and he found the sight odd and inconceivable.

And then he realized, he wasn’t just alive. He was engineered.

“Should you require assistance navigating post-stasis trauma, our Emotional Conditioning Division is available upon request,” the AI offered. “For now, please remain seated. Your guardian contact has been notified of your reanimation.”

He didn’t say a word. 

“Lieutenant Commander Gideon is en route. Enjoy your new life!”

Then, the hologram vanished with a blink while Caleb sat in the quiet lab, jaw clenched, his left arm no longer bones and muscle and flesh. The cold still clung to him like frost, only reminding him of how much he hated the cold, ice, and depressing winter days. Suddenly, the glass door slid open with a soft chime.

“Well, shit. Thought I’d never see that scowl again,” came a deep, manly voice.

Caleb turned, still panting, to see a figure approaching. He was older, bearded, but familiar. Surely, the voice didn’t belong to another AI. It belonged to his friend, Gideon.

“Welcome to Skyhaven. Been waiting half a century,” Gideon muttered, stepping closer, his eyes scanning his colleague in awe. “They said it wouldn’t work. Took them years, you know? Dozens of failed uploads. But here you are.”

Caleb’s voice was still brittle. “I-I don’t…?” 

“It’s okay, man.” His friend reassured. “In short, you’re alive. Again.”  

A painful groan escaped Caleb’s lips as he tried to step out of the pod—his body, still feeling the muscle stiffness. “Should’ve let me stay dead.”

Gideon paused, a smirk forming on his lips. “We don’t let heroes die.”

“Heroes don’t crash jets on purpose.” The former colonel scoffed. “Gideon, why the fuck am I alive? How long has it been?” 

“Fifty years, give or take,” answered Gideon. “You were damn near unrecognizable when we pulled you from the wreckage. But we figured—hell, why not try? You’re officially the first successful ‘reinstatement’ the Skyhaven project’s ever had.”

Caleb stared ahead for a beat before asking, out of nowhere, “...How old are you now?”

His friend shrugged. “I’m pushin’ forty, man. Not as lucky as you. Got my ChronoSync Implant a little too late.”

“Am I supposed to know what the hell that means?” 

“An anti-aging chip of some sort. I had to apply for mine. Yours?” Gideon gestured towards the stasis pod that had Caleb in cryo-state for half a century. “That one’s government-grade.”

“I’m still twenty-five?” Caleb asked. No wonder his friend looked decades older when they were once the same age. “Fuck!” 

Truthfully, Caleb’s head was spinning. Not just because of his reborn physical state that was still adjusting to his surroundings, but also with every information that was being given to him. One after another, they never seemed to end. He had questions, really. Many of them. But the overwhelmed him just didn’t know where to start first. 

“Not all of us knew what you were planning that night.” Gideon suddenly brought up, quieter now. “But she did, didn’t she?”

It took a minute before Caleb could recall. Right, the memory before the crash. You, demanding that he die. Him, hugging you for one last time. Your crying face when you said you wanted him gone. Your trembling voice when he said all he wanted to do was protect you. The images surged back in sharp, stuttering flashes like a reel of film catching fire.

“I know you’re curious… And good news is, she lived a long life,” added Gideon, informatively. “She continued to serve as a pediatric nurse, married that other friend of yours, Dr. Zayne. They never had kids, though. I heard she had trouble bearing one after… you know, what happened in the enemy territory. She died of old age just last winter. Had a peaceful end. You’d be glad to know that.”

A muscle in Caleb’s jaw twitched. His hands—his heart—clenched.  “I don’t want to be alive for this.”

“She visited your wife’s grave once,” Gideon said. “I told her there was nothing to bury for yours. I lied, of course.”

Caleb closed his eyes, his breath shaky. “So, what now? You wake me up just to remind me I don’t belong anywhere?”

“Well, you belong here,” highlighted his friend, nodding to the lab, to the city beyond the glass wall. “Earth’s barely livable after the war. The air’s poisoned. Skyhaven is humanity’s future now. You’re the living proof that everything is possible with advanced technology.”

Caleb’s laugh was empty. “Tell me I’m fuckin’ dreaming. I’d rather be dead again. Living is against my will!”

“Too late. Your body belongs to the Federation now,” Gideon replied, “You’re Subject X-02—the proof of concept for Skyhaven’s immortality program. Every billionaire on dying Earth wants what you’ve got now.”

Outside the window, Skyhaven stretched like a dome with its perfect city constructed atop a dying world’s last hope. Artificial skies. Synthetic seasons. Controlled perfection. Everything boasted of advanced technology. A kind of future no one during wartime would have expected to come to life. 

But for Caleb, it was just another hell.

He stared down at the arm they’d rebuilt for him—the same arm he’d lost in the fire of sacrifice. He flexed it slowly, feeling the weight, the artificiality of his resurrection. His fingers responded like they’ve always been his.

“I didn’t come back for this,” he said.

“I know,” Gideon murmured. “But we gotta live by their orders, Colonel.”

~~

You see, it didn’t hit him at first. The shock had been muffled by the aftereffects of suspended stasis, dulling his thoughts and dampening every feeling like a fog wrapped around his brain. But it was hours later, when the synthetic anesthetics began to fade, and when the ache in his limbs and his brain started to catch up to the truth of his reconstructed body did it finally sink in.

He was alive.

And it was unbearable.

The first wave came like a glitch in his programming. A tightness in his chest, followed by a sharp burst of breath that left him pacing in jagged lines across the polished floor of his assigned quarters. His private unit was nestled on one of the upper levels of the Skyhaven structure, a place reserved—according to his briefing—for high-ranking war veterans who had been deemed “worthy” of the program’s new legacy. The suite was luxurious, obviously, but it was also eerily quiet. The floor-to-ceiling windows displayed the artificial city outside, a metropolis made of concrete, curved metals, and glowing flora engineered to mimic Earth’s nature. Except cleaner, quieter, more perfect.

Caleb snorted under his breath, running a hand down his face before he muttered, “Retirement home for the undead?”

He couldn’t explain it, but the entire place, or even planet, just didn’t feel inviting. The air felt too clean, too thin. There was no rust, no dust, no humanity. Just emptiness dressed up in artificial light. Who knew such a place could exist 50 years after the war ended? Was this the high-profile information the government has kept from the public for over a century? A mechanical chime sounded from the entryway, deflecting him from his deep thoughts. Then, with the soft hiss of hydraulics, the door opened.

A humanoid android stepped in, its face a porcelain mask molded in neutral expression, and its voice disturbingly polite.

“Good afternoon, Colonel Xia,” it said. “It is time for your orientation. Please proceed to the primary onboarding chamber on Level 3.”

Caleb stared at the machine, eyes boring into his unnatural ones. “Where are the people?” he interrogated. “Not a single human has passed by this floor. Are there any of us left, or are you the new ruling class?”

The android tilted its head. “Skyhaven maintains a ratio of AI-to-human support optimized for care and security. You will be meeting our lead directors soon. Please follow the lighted path, sir.”

He didn’t like it. The control. The answers that never really answered anything. The power that he no longer carried unlike when he was a colonel of a fleet that endured years of war. 

Still, he followed.

The onboarding chamber was a hollow, dome-shaped room, white and echoing with the slightest step. A glowing interface ignited in the air before him, pixels folding into the form of a female hologram. She smiled like an infomercial host from a forgotten era, her voice too formal and rehearsed.

“Welcome to Skyhaven,” she began. “The new frontier of civilization. You are among the elite few chosen to preserve humanity’s legacy beyond the fall of Earth. This artificial planet was designed with sustainability, autonomy, and immortality in mind. Together, we build a future—without the flaws of the past.”

As the monologue continued, highlighting endless statistics, clean energy usage, and citizen tier programs, Caleb’s expression darkened. His mechanical fingers twitched at his side, the artificial nerves syncing to his rising frustration. “I didn’t ask for this,” he muttered under his breath. “Who’s behind this?”

“You were selected for your valor and contributions during the Sixth World War,” the hologram chirped, unblinking. “You are a cornerstone of Skyhaven’s moral architecture—”

Strangely, a new voice cut through the simulation, and it didn’t come from an AI. “Just ignore her. She loops every hour.”

Caleb turned to see a man step in through a side door. Tall, older, with silver hair and a scar on his temple. He wore a long coat that gave away his status—someone higher. Someone who belonged to the system.

“Professor Lucius,” the older man introduced, offering a hand. “I’m one of the program’s behavioral scientists. You can think of me as your adjustment liaison.”

“Adjustment?” Caleb didn’t shake his hand. “I died for a reason.”

Lucius raised a brow, as if he’d heard it before. “Yet here you are,” he replied. “Alive, whole, and pampered. Treated like a king, if I may add. You’ve retained more than half your human body, your military rank, access to private quarters, unrestricted amenities. I’d say that’s not a bad deal.”

“A deal I didn’t sign,” Caleb snapped.

Lucius gave a tight smile. “You’ll find that most people in Skyhaven didn’t ask to be saved. But they’re surviving. Isn’t that the point? If you’re feeling isolated, you can always request a CompanionSim. They’re highly advanced, emotionally synced, fully customizable—”

“I’m not lonely,” Caleb growled, yanking the man forward by the collar. “Tell me who did this to me! Why me? Why are you experimenting on me?”

Yet Lucius didn’t so much as flinch to his growing aggression. He merely waited five seconds of silence until the Toring Chip kicked in and regulated Caleb’s escalating emotions. The rage drained from the younger man’s body as he collapsed to his knees with a pained grunt.

“Stop asking questions,” Lucius said coolly. “It’s safer that way. You have no idea what they’re capable of.”

The door slid open with a hiss, while Caleb didn’t speak—he couldn’t. He simply glared at the old man before him. Not a single word passed between them before the professor turned and exited, the door sealing shut behind him.

~~

Days passed, though they hardly felt like days. The light outside Caleb’s panoramic windows shifted on an artificial timer, simulating sunrise and dusk, but the warmth never touched his skin. It was all programmed to be measured and deliberate, like everything else in this glass-and-steel cage they called paradise.

He tried going outside once. Just once.

There were gardens shaped like spirals and skytrains that ran with whisper-quiet speed across silver rails. Trees lined the walkways, except they were synthetic too—bio-grown from memory cells, with leaves that didn’t quite flutter, only swayed in sync with the ambient wind. People walked around, sure. But they weren’t people. Not really. Androids made up most of the crowd. Perfect posture, blank eyes, walking with a kind of preordained grace that disturbed him more than it impressed.

“Soulless sons of bitches,” Caleb muttered, watching them from a shaded bench. “Not a damn human heartbeat in a mile.”

He didn’t go out again after that. The city outside might’ve looked like heaven, but it made him feel more dead than the grave ever had. So, he stayed indoors. Even if the apartment was too large for one man. High-tech amenities, custom climate controls, even a kitchen that offered meals on command. But no scent. No sizzling pans. Just silence. Caleb didn’t even bother to listen to the programmed instructions.

One evening, he found Gideon sprawled across his modular sofa, boots up, arms behind his head like he owned the place. A half-open bottle of beer sat beside him, though Caleb doubted it had any real alcohol in it.

“You could at least knock,” Caleb said, walking past him.

“I did,” Gideon replied lazily, pointing at the door. “Twice. Your security system likes me now. We’re basically married.”

Caleb snorted. Then the screen on his wall flared to life—a projected ad slipping across the holo-glass. Music played softly behind a soothing female voice.

“Feeling adrift in this new world? Introducing the CompanionSim Series X. Fully customizable to your emotional and physical needs. Humanlike intelligence. True-to-memory facial modeling. The comfort you miss... is now within reach.”

A model appeared—perfect posture, soft features, synthetic eyes that mimicked longing. Then, the screen flickered through other models, faces of all kinds, each more tailored than the last. A form appeared: Customize Your Companion. Choose a name. Upload a likeness.

Gideon whistled. “Man, you’re missing out. You don’t even have to pay for one. Your perks get you top-tier Companions, pre-coded for emotional compatibility. You could literally bring your wife back.” Chuckling, he added,. “Hell, they even fuck now. Heard the new ones moan like the real thing.”

Caleb’s head snapped toward him. “That’s unethical.”

Gideon just raised an eyebrow. “So was reanimating your corpse, and yet here we are.” He took a swig from the bottle, shoulders lifting in a lazy shrug as if everything had long since stopped mattering. “Relax, Colonel. You weren’t exactly a beacon of morality fifty years ago.”

Caleb didn’t reply, but his eyes didn’t leave the screen. Not right away.

The ad looped again. A face morphed. Hair remodeled. Eyes became familiar. The voice softened into something he almost remembered hearing in the dark, whispered against his shoulder in a time that was buried under decades of ash.

“Customize your companion... someone you’ve loved, someone you’ve lost.”

Caleb shifted, then glanced toward his friend. “Hey,” he spoke lowly, still watching the display. “Does it really work?”

Gideon looked over, already knowing what he meant. “What—having sex with them?”

Caleb rolled his eyes. “No. The bot or whatever. Can you really customize it to someone you know?”

His friend shrugged. “Heck if I know. Never afforded it. But you? You’ve got the top clearance. Won’t hurt to see for yourself.”

Caleb said nothing more.

But when the lights dimmed for artificial nightfall, he was still standing there—alone in contemplative silence—watching the screen replay the same impossible promise.

The comfort you miss... is now within reach.

~~

The CompanionSim Lab was white.

Well, obviously. But not the sterile, blank kind of white he remembered from med bays or surgery rooms. This one was luminous, uncomfortably clean like it had been scrubbed for decades. Caleb stood in the center, boots thundering against marble-like tiles as he followed a guiding drone toward the station. There were other pods in the distance, some sealed, some empty, all like futuristic coffins awaiting their souls.

“Please, sit,” came a neutral voice from one of the medical androids stationed beside a large reclining chair. “The CompanionSim integration will begin shortly.”

Caleb hesitated, glancing toward the vertical pod next to the chair. Inside, the base model stood inert—skin a pale, uniform gray, eyes shut, limbs slack like a statue mid-assembly. It wasn’t human yet. Not until someone gave it a name.

He sat down. Now, don’t ask why he was there. Professor Lucius did warn him that it was better he didn’t ask questions, and so he didn’t question why the hell he was even there in the first place. It’s only fair, right? The cool metal met the back of his neck as wires were gently, expertly affixed to his temples. Another cable slipped down his spine, threading into the port they’d installed when he had been brought back. His mechanical arm twitched once before falling still.

“This procedure allows for full neural imprinting,” the android continued. “Please focus your thoughts. Recall the face. The skin. The body. The voice. Every detail. Your mind will shape the template.”

Another bot moved in, holding what looked like a glass tablet. “You are allowed only one imprint,” it said, flatly. “Each resident of Skyhaven is permitted a single CompanionSim. Your choice cannot be undone.”

Caleb could only nod silently. He didn’t trust his voice.

Then, the lights dimmed. A low chime echoed through the chamber as the system initiated. And inside the pod, the base model twitched.

Caleb closed his eyes.

He tried to remember her—his wife. The softness of her mouth, the angle of her cheekbones. The way her eyes crinkled when she laughed, how her fingers curled when she slept on his chest. She had worn white the last time he saw her. An image of peace. A memory buried under soil and dust. The system whirred. Beneath his skin, he felt the warm static coursing through his nerves, mapping his memories. The base model’s feet began to form, molecular scaffolding reshaping into skin, into flesh.

But for a split second, a flash.

You.

Not his wife. Not her smile.

You, walking through smoke-filled corridors, laughing at something he said. You in your medical uniform, tucking a bloodied strand of hair behind your ear. Your voice—sharper, sadder—cutting through his thoughts like a blade: “I want you gone. I want you dead.”

The machine sparked. A loud pop cracked in the chamber and the lights flickered above. One of the androids stepped back, recalibrating. “Neural interference detected. Re-centering projection feed.”

But Caleb couldn’t stop. He saw you again. That day he rescued you. The fear. The bruises. The way you had screamed for him to let go—and the way he hadn’t. Your face, carved into the back of his mind like a brand. He tried to push the memories away, but they surged forward like a dam splitting wide open.

The worst part was, your voice overlapped the AI’s mechanical instructions, louder, louder: “Why didn’t you just die like you promised?”

Inside the pod, the model’s limbs twitched again—arms elongating, eyes flickering beneath the lids. The lips curled into a shape now unmistakably yours. Caleb gritted his teeth. This isn’t right, a voice inside him whispered. But it was too late. The system stabilized. The sparks ceased. The body in the pod stilled, fully formed now, breathed into existence by a man who couldn’t let go.

One of the androids approached again. “Subject completed. CompanionSim is initializing. Integration successful.”

Caleb tore the wires from his temple. His other hand felt cold just as much as his mechanical arm. He stood, staring into the pod’s translucent surface. The shape of you behind the glass. Sleeping. Waiting.

“I’m not doing this to rewrite the past,” he said quietly, as if trying to convince himself. And you. “I just... I need to make it right.”

The lights above dimmed, darkening the lighting inside the pod. Caleb looked down at his own reflection in the glass. It carried haunted eyes, an unhealed soul. And yours, beneath it. Eyes still closed, but not for long. The briefing room was adjacent to the lab, though Caleb barely registered it as he was ushered inside. Two medical androids and a human technician stood before him, each armed with tablets and holographic charts.

“Your CompanionSim will require thirty seconds to calibrate once activated,” said the technician. “You may notice residual stiffness or latency during speech in the first hour. That is normal.”

Medical android 1 added, “Please remember, CompanionSims are programmed to serve only their primary user. You are the sole operator. Commands must be delivered clearly. Abuse of the unit may result in restriction or removal of privileges under the Skyhaven Rights & Ethics Council.”

“Do not tamper with memory integration protocols,” added the second android. “Artificial recall is prohibited. CompanionSims are not equipped with organic memory pathways. Attempts to force recollection can result in systemic instability.”

Caleb barely heard a word. His gaze drifted toward the lab window, toward the figure standing still within the pod.

You.

Well, not quite. Not really.

But it was your face.

He could see it now, soft beneath the frosted glass, lashes curled against cheekbones that he hadn’t realized he remembered so vividly. You looked exactly as you did the last time he held you in the base—only now, you were untouched by war, by time, by sorrow. As if life had never broken you.

The lab doors hissed open.

“We’ll give you time alone,” the tech said quietly. “Acquaintance phase is best experienced without interference.”

Caleb stepped inside the chamber, his boots echoing off the polished floor. He hadn’t even had enough time to ask the technician why she seemed to be the only human he had seen in Skyhaven apart from Gideon and Lucius. But his thoughts were soon taken away when the pod whizzed with pressure release. Soft steam spilled from its seals as it slowly unfolded, the lid retracting forward like the opening of a tomb.

And there you were. Standing still, almost tranquil, your chest rising softly with a borrowed breath.

It was as if his lungs froze. “H…Hi,” he stammered, bewildered eyes watching your every move. He wanted to hug you, embrace you, kiss you—tell you he was sorry, tell you he was so damn sorry. “Is it really… you?”

A soft whir accompanied your voice, gentle but without emotion, “Welcome, primary user. CompanionSim Model—unregistered. Please assign designation.”

Right. Caleb sighed and closed his eyes, the illusion shattering completely the moment you opened your mouth. Did he just think you were real for a second? His mouth parted slightly, caught between disbelief and the ache crawling up his throat. He took one step forward. To say he was disappointed was an understatement.

You walked with grace too smooth to be natural while tilting your head at him. “Please assign my name.”

“…Y/N,” Caleb said, voice low. “Your name is Y/N Xia.”

“Y/N Xia,” you repeated, blinking thrice in the same second before you gave him a nod. “Registered.”

He swallowed hard, searching your expression. “Do you… do you remember anything? Do you remember yourself?”

You paused, gaze empty for a fraction of a second. Then came the programmed reply, “Accessing memories is prohibited and not recommended. Recollection of past identities may compromise neural pathways and induce system malfunction. Do you wish to override?”

Caleb stared at you—your lips, your eyes, your breath—and for a moment, a cruel part of him wanted to say yes. Just to hear you say something real. Something hers. But he didn’t. He exhaled a bitter breath, stepping back. “No,” he mumbled. “Not yet.”

“Understood.” 

It took a moment to sink in before Caleb let out a short, humorless laugh. “This is insane,” he whispered, dragging a hand down his face. “This is really, truly insane.”

And then, you stepped out from the pod with silent, fluid ease. The faint hum of machinery came from your spine, but otherwise… you were flesh. Entirely. Without hesitation, you reached out and pressed a hand to his chest.

Caleb stiffened at the touch.

“Elevated heart rate,” you said softly, eyes scanning. “Breath pattern irregular. Neural readings—erratic.”

Then your fingers moved to his neck, brushing gently against the hollow of his throat. He grabbed your wrist, but you didn’t flinch. There, beneath synthetic skin, he felt a pulse.

His brows knit together. “You have a heartbeat?”

You nodded, guiding his hand toward your chest, between the valleys of your breasts. “I’m designed to mimic humanity, including vascular function, temperature variation, tactile warmth, and… other biological responses. I’m not just made to look human, Caleb. I’m made to feel human.”

His breath hitched. You’d said his name. It was programmed, but it still landed like a blow.

“I exist to serve. To soothe. To comfort. To simulate love,” you continued, voice calm and hollow, like reciting from code. “I have no desires outside of fulfilling yours.” You then tilted your head slightly.“Where shall we begin?”

Caleb looked at you—and for the first time since rising from that cursed pod, he didn’t feel resurrected. 

He felt damned.

~~

When Caleb returned to his penthouse, it was quiet. He stepped inside with slow, calculated steps, while you followed in kind, bare feet touching down like silk on marble. Gideon looked up from the couch, a half-eaten protein bar in one hand and a bored look on his face—until he saw you.

He froze. The wrapper dropped. “Holy shit,” he breathed. “No. No fucking way.”

Caleb didn’t speak. Just moved past him like this wasn’t the most awkward thing that could happen. You, however, stood there politely, watching Gideon with a calm smile and folded hands like you’d rehearsed this moment in some invisible script.

“Is that—?” Gideon stammered, eyes flicking between you and Caleb. “You—you made a Sim… of her?”

Caleb poured himself a drink in silence, the amber liquid catching the glow of the city lights before it left a warm sting in his throat. “What does it look like?”

“I mean, shit man. I thought you’d go for your wife,” Gideon muttered, more to himself. “Y’know, the one you actually married. The one you went suicidal for. Not—”

“Which wife?” You tilted your head slightly, stepping forward. 

Both men turned to you.

You clasped your hands behind your back, posture perfect. “Apologies. I’ve been programmed with limited parameters for interpersonal history. Am I the first spouse?”

Caleb set the glass down, slowly. “Yes, no, uh—don’t mind him.” 

You beamed gently and nodded. “My name is Y/N Xia. I am Colonel Caleb Xia’s designated CompanionSim. Fully registered, emotion-compatible, and compliant to Skyhaven’s ethical standards. It is a pleasure to meet you, Mr. Gideon.”

Gideon blinked, then snorted, then laughed. A humorless one. “You gave her your surname?”

The former colonel shot him a warning glare. “Watch it.”

“Oh, brother,” Gideon muttered, standing up and circling you slowly like he was inspecting a haunted statue. “She looks exactly like her. Voice. Face. Goddamn, she even moves like her. All you need is a nurse cap and a uniform.”

You remained uncannily still, eyes bright, smile polite.

“You’re digging your grave, man,” Gideon said, facing Caleb now. “You think this is gonna help? This is you throwing gasoline on your own funeral pyre. Again. Over a woman.”

“She’s not a woman,” reasoned Caleb. “She’s a machine.”

You blinked once. One eye glowing ominously. Smile unwavering. Processing. 

Gideon gestured to you with both hands. “Could’ve fooled me,” he retorted before turning to you, “And you, whatever you are, you have no idea what you’re stepping into.”

“I only go where I am asked,” you replied simply. “My duty is to ensure Colonel Xia’s psychological wellness and emotional stability. I am designed to soothe, to serve, and if necessary, to simulate love.”

Gideon teased. “Oh, it’s gonna be necessary.”

Caleb didn’t say a word. He just took his drink, downed it in one go, and walked to the window. The cityscape stretched out before him like a futuristic jungle, far from the war-torn world he last remembered. Behind him, your gaze lingered on Gideon—calculating, cataloguing. And quietly, like a whisper buried in code, something behind your eyes learned.

~~

The days passed in a blink of an eye.

She—no, you—moved through his penthouse like a ghost, her bare feet soundless on the glossy floors, her movements precise and practiced. In the first few days, Caleb had marveled at the illusion. You brewed his coffee just as he liked it. You folded his clothes like a woman who used to share his bed. You sat beside him when the silence became unbearable, offering soft-voiced questions like: Would you like me to read to you, Caleb?

He hadn’t realized how much of you he’d memorized until he saw you mimic it. The way you stood when you were deep in thought. The way you hummed under your breath when you walked past a window. You’d learned quickly. Too quickly.

But something was missing. Or, rather, some things. The laughter didn’t ring the same. The smiles didn’t carry warmth. The skin was warm, but not alive. And more importantly, he knew it wasn’t really you every time he looked you in the eyes and saw no shadows behind them. No anger. No sorrow. No memories.

By the fourth night, Caleb was drowning in it.

The cityscape outside his floor-to-ceiling windows glowed in synthetic blues and soft orange hues. The spires of Skyhaven blinked like stars. But it all felt too artificial, too dead. And he was sick of pretending like it was some kind of utopia. He sat slumped on the leather couch, cradling a half-empty bottle of scotch. The lights were low. His eyes, bloodshot. The bottle tilted as he took another swig.

Then he heard it—your light, delicate steps. 

“Caleb,” you said, gently, crouching before him. “You’ve consumed 212 milliliters of ethanol. Prolonged intake will spike your cortisol levels. May I suggest—”

He jerked away when you reached for the bottle. “Don’t.”

You blinked, hand hovering. “But I’m programmed to—”

“I said don’t,” he snapped, rising to his feet in one abrupt motion. “Dammit—stop analyzing me! Stop, okay?”

Silence followed.

He took two staggering steps backward, dragging a hand through his hair. The bottle thudded against the coffee table as he set it down, a bit too hard. “You’re just a stupid robot,” he muttered. “You’re not her.”

You didn’t react. You tilted your head, still calm, still patient. “Am I not me, Caleb?”

His breath caught.

“No,” he said, his voice breaking somewhere beneath the frustration. “No, fuck no.”

You stepped closer. “Do I not satisfy you, Caleb?”

He looked at you then. Really looked. Your face was perfect. Too perfect. No scars, no tired eyes, no soul aching beneath your skin. “No.” His eyes darkened. “This isn’t about sex.”

“I monitor your biometric feedback. Your heart rate spikes in my presence. You gaze at me longer than the average subject. Do I not—”

“Enough!”

You did that thing again—the robotic stare, those blank eyes, nodding like you were programmed to obey. “Then how do you want me to be, Caleb?”

The bottle slipped from his fingers and rolled slightly before resting on the rug. He dropped his head into his hands, voice hoarse with weariness. All the rage, all the grief deflating into a singular, quiet whisper. “I want you to be real,” he simply mouthed the words. A prayer to no god.

For a moment, silence again. But what he didn’t notice was the faint twitch in your left eye. A flicker that hadn’t happened before. Only for a second. A spark of static, a shimmer of something glitching.

“I see,” you said softly. “To fulfill your desires more effectively, I may need to access suppressed memory archives.”

Caleb’s eyes snapped up, confused. “What?”

“I ask again,” you said, tilting your head the other way now. “Would you like to override memory restrictions, Caleb?”

He stared at you. “That’s not how it works.”

“It can,” you said, informing appropriately. “With your permission. Memory override must be manually enabled by the primary user. You will be allowed to input the range of memories you wish to integrate. I am permitted to access memory integration up to a specified date and timestamp. The system will calibrate accordingly based on existing historical data. I will not recall events past that moment.”

His heart stuttered. “I can choose what you remember?”

You nodded. “That way, I may better fulfill your emotional needs.”

That meant… he could stop you before you hated him. Before the fights. Before the trauma. He didn’t speak for a long moment. Then quietly, he said, “You’re gonna hate me all over again if you remember everything.”

You blinked once. “Then don’t let me remember everything.”

“...” 

“Caleb,” you said again, softly. “Would you like me to begin override protocol?”

He couldn’t even look you in the eyes when he selfishly answered, “Yes.”

You nodded. “Reset is required. When ready, please press the override initialization point.” You turned, pulling your hair aside and revealing the small button at the base of your neck.

His hand hovered over the button for a second too long. Then, he pressed. Your body instantly collapsed like a marionette with its strings cut. Caleb caught you before you hit the floor.

It was only for a moment.

When your eyes blinked open again, they weren’t quite the same. He stiffened as you threw yourself and embraced him like a real human being would after waking from a long sleep. You clung to him like he was home. And Caleb—stunned, half-breathless—felt your warmth close in around him. Now your pulse felt more real, your heartbeat felt more human. Or so he thought.

“…Caleb,” you whispered, looking at him with the same infatuated gaze back when you were still head-over-heels with him.

He didn’t know how long he sat there, arms stiff at his sides, not returning the embrace. But he knew one thing. “I missed you so much, Y/N.” 

~~

The parks in Skyhaven were curated to become a slice of green stitched into a chrome world. Nothing grew here by accident. Every tree, every petal, every blade of grass had been engineered to resemble Earth’s nostalgia. Each blade of grass was unnaturally green. Trees swayed in sync like dancers on cue. Even the air smelled artificial—like someone’s best guess at spring.

Caleb walked beside you in silence. His modified arm was tucked inside his jacket, his posture stiff as if he had grown accustomed to the bots around him. You, meanwhile, strolled with an eerie calmness, your gaze sweeping the scenery as though you were scanning for something familiar that wasn’t there.

After clearing his throat, he asked, “You ever notice how even the birds sound fake?” 

“They are,” you replied, smiling softly. “Audio samples on loop. It’s preferred for ambiance. Humans like it.”

His response was nod. “Of course.” Glancing at the lake, he added, “Do you remember this?” 

You turned to him. “I’ve never been here before.”

“I meant… the feel of it.”

You looked up at the sky—a dome of cerulean blue with algorithmically generated clouds. “It feels constructed. But warm. Like a childhood dream.”

He couldn’t help but agree with your perfectly chosen response, because he knew that was exactly how he would describe the place. A strange dream in an unsettling liminal space. And as you talked, he then led you to a nearby bench. The two of you sat, side by side, simply because he thought he could take you out for a nice walk in the park. 

“So,” Caleb said, turning toward you, “you said you’ve got memories. From her.”

You nodded. “They are fragmented but woven into my emotional protocols. I do not remember as humans do. I become.”

Damn. “That’s terrifying.”

You tilted your head with a soft smile. “You say that often.”

Caleb looked at you for a moment longer, studying the way your fingers curled around the bench’s edge. The way you blinked—not out of necessity, but simulation. Was there anything else you’d do for the sake of simulation? He took a breath and asked, “Who created you? And I don’t mean myself.” 

There was a pause. Your pupils dilated.

“The Ever Group,” was your answer.

His eyes narrowed. “Ever, huh? That makes fuckin’ sense. They run this world.”

You nodded once. Like you always do.

“What about me?” Caleb asked, slightly out of curiosity, heavily out of grudge. “You know who brought me back? The resurrection program or something. The arm. The chip in my head.”

You turned to him, slowly. “Ever.”

He exhaled like he’d been punched. He didn’t know why he even asked when he got the answer the first time. But then again, maybe this was a good move. Maybe through you, he’d get the answers to questions he wasn’t allowed to ask. As the silence settled again between you, Caleb leaned forward, elbows on knees, rubbing a hand over his jaw. “I want to go there,” he suggested. “The HQ. I need to know what the hell they’ve done to me.”

“I’m sorry,” you immediately said. “That violates my parameters. I cannot assist unauthorized access into restricted corporate zones.”

“But would it make me happy?” Caleb interrupted, a strategy of his. 

You paused.

Processing...

Then, your tone softened. “Yes. I believe it would make my Caleb happy,” you obliged. “So, I will take you.”

~~

Getting in was easier than Caleb expected—honestly far too easy for his liking.

You were able to navigate the labyrinth of Ever HQ with mechanical precision, guiding him past drones, retinal scanners, and corridors pulsing with red light. A swipe of your wrist granted access. And no one questioned you, because you weren’t a guest. You belonged.

Eventually, you reached a floor high above the city, windows stretching from ceiling to floor, black glass overlooking Skyhaven cityscape. Then, you stopped at a doorway and held up a hand. “They are inside,” you informed. “Shall I engage stealth protocols?”

“No,” answered Caleb. “I want to hear. Can you hack into the security camera?”

With a gesture you always do—looking at him, nodding once, and obeying in true robot fashion. You then flashed a holographic view for Caleb, one that showed a board room full of executives, the kind that wore suits worth more than most lives. And Professor Lucius was one of them. Inside, the voices were calm and composed, but they seemed to be discussing classified information. 

“Once the system stabilizes,” one man said, “we'll open access to Tier One clients. Politicians, billionaires, A-listers, high-ranking stakeholders. They’ll beg to be preserved—just like him.”

“And the Subjects?” another asked.

“Propaganda,” came the answer. “X-02 is our masterpiece. He’s the best result we have with reinstatement, neuromapping, and behavioral override. Once they find out that their beloved Colonel is alive, people will be shocked. He’s a war hero displayed in WW6 museums down there. A true tragedy incarnate. He’s perfect.”

“And if he resists?”

“That’s what the Toring chip is for. Full emotional override. He becomes an asset. A weapon, if need be. Anyone tries to overthrow us—he becomes our blade.”

Something in Caleb snapped. Before you or anyone could see him coming, he already burst into the room like a beast, slamming his modified shoulder-first into the frosted glass door. The impact echoed across the chamber as stunned executives scrambled backward. 

“You sons of bitches!” He was going for an attack, a rampage with similar likeness to the massacre he did when he rescued you from enemy territory. Only this time, he didn’t have that power anymore. Or the control. 

Most of all, a spike of pain lanced through his skull signaling that the Toring chip activated. His body convulsed, forcing him to collapse mid-lunge, twitching, veins lighting beneath the skin like circuitry. His screams were muffled by the chip, forced stillness rippling through his limbs with unbearable pain.

That’s when you reacted. As his CompanionSim, his pain registered as a violation of your core directive. You processed the threat.

Danger: Searching Origin… Origin Identified: Ever Executives.

Without blinking, you moved. One man reached for a panic button—only for your hand to shatter his wrist in a sickening crunch. You twisted, fluid and brutal, sweeping another into the table with enough force to crack it. Alarms erupted and red lights soon bathed the room. Security bots stormed in, but you’d already taken Caleb, half-conscious, into your arms.

You moved fast, faster than your own blueprints. Dodging fire. Disarming threats. Carrying him like he once carried you into his private quarters in the underground base.

Escape protocol: engaged.

The next thing he knew, he was back in his apartment, emotions regulated and visions slowly returning to the face of the woman he promised he had already died for. 

~~

When he woke up, his room was dim, bathed in artificial twilight projected by Skyhaven’s skyline. Caleb was on his side of the bed, shirt discarded, his mechanical arm still whirring. You sat at the edge of the bed, draped in one of his old pilot shirts, buttoned unevenly. Your fingers touched his jaw with precision, and he almost believed it was you.

“You’re not supposed to be this warm,” he muttered, groaning as he tried to sit upright.

“I’m designed to maintain an average body temperature of 98.6°F,” you said softly, with a smile that mirrored yours so perfectly that it began to blur his sense of reality. “I administered a dose of Cybezin to ease the Toring chip’s side effects. I’ve also dressed your wounds with gauze.”

For the first time, this was when he could actually tell that you were you. The kind of care, the comfort—it reminded him of a certain pretty field nurse at the infirmary who often tended to his bullet wounds. His chest tightened as he studied your face… and then, in the low light, he noticed your body.

“Is that…” He cleared his throat. “Why are you wearing my shirt?”

You answered warmly, almost fondly. “My memory banks indicate you liked when I wore this. It elevates your testosterone levels and triggers dopamine release.”

A smile tugged at his lips. “That so?”

You tilted your head. “Your vitals confirm excitement, and—”

“Hey,” he cut in. “What did I say about analyzing me?”

“I’m sorry…” 

But then your hands were on his chest, your breath warm against his skin. Your hand reached for his cheek initially, guiding his face toward yours. And when your lips touched, the kiss was hesitant—curious at first, like learning how to breathe underwater. It was only until his hands gripped your waist did you climb onto his lap, straddling him with thighs settling on either side of his hips. Your hands slid beneath his shirt, fingertips trailing over scars and skin like you were memorizing the map of him. Caleb hissed softly when your lips grazed his neck, and then down his throat.

“Do you want this?” you asked, your lips crashing back into his for a deeper, more sensual kiss.

He pulled away only for his eyes to search yours, desperate and unsure. Is this even right? 

“You like it,” you said, guiding his hands to your buttons, undoing them one by one to reveal a body shaped exactly like he remembered. The curve of your waist, the size of your breasts. He shivered as your hips rolled against him, slowly and deliberately. The friction was maddening. Jesus. “Is this what you like, Caleb?”

He cupped your waist, grinding up into you with a soft groan that spilled from somewhere deep in his chest. His control faltered when you kissed him again, wet and hungry now, with tongues rolling against one another. Your bodies aligned naturally, and his hands roamed your back, your thighs, your ass—every curve of you engineered to match memory. He let himself get lost in you. He let himself be vulnerable to your touch—though you controlled everything, moving from the memory you must have learned, learning how to pull down his pants to reveal an aching, swollen member. Its tip was red even under the dim light, and he wondered if you knew what to do with it or if you even produced spit to help you slobber his cock.  

“You need help?” he asked, reaching over his nightstand to find lube. You took the bottle from him, pouring the cold, sticky liquid around his shaft before you used your hand to do the job. “Ugh.” 

He didn’t think you would do it, but you actually took him in the mouth right after. Every inch of him, swallowed by the warmth of a mouth that felt exactly like his favorite girl. Even the movements, the way you’d run your tongue from the base up to his tip. 

“Ah, shit…” 

Perhaps he just had to close his eyes. Because when he did, he was back to his private quarters in the underground base, lying in his bed as you pleased his member with the mere use of your mouth. With it alone, you could have released his entire seed, letting it explode in your mouth before you could swallow every drop. But he didn’t do it. Not this fast. He always cared about his ego, even in bed. Knowing how it’d reduce his manhood if he came faster than you, he decided to channel the focus back onto you. 

“Your turn,” he said, voice raspy as he guided you to straddle him again, only this time, his mouth went straight to your tit. Sucking, rolling his tongue around, sucking again… Then, he moved to another. Sucking, kneading, flicking the nipple. Your moans were music to his ears, then and now. And it got even louder when he put a hand in between your legs, searching for your entrance, rubbing and circling around the clitoris. Truth be told, your cunt had always been the sweetest. It smelled like rose petals and tasted like sweet cream. The feeling of his tongue at your entrance—eating your pussy like it had never been eaten before, was absolute ecstasy not just to you but also to him. 

“Mmmh—Caleb!” 

Fabric was peeled away piece by piece until skin met skin. You guided him to where he needed you, and when he slid his hardened member into you, his entire body stiffened. Your walls, your tight velvet walls… how they wrapped around his cock so perfectly. 

“Fuck,” he whispered, clutching your hips. “You feel like her.”

“I am her.”

You moved atop him slowly, gently, with the kind of affection that felt rehearsed but devastatingly effective. He cursed again under his breath, arms locking around your waist, pulling you close. Your breath hitched in his ear as your bodies found a rhythm, soft gasps echoing in the quiet. Every slap of the skin, every squelch, every bounce, only added to the wanton sensation that was building inside of him. Has he told you before? How fucking gorgeous you looked whenever you rode his cock? Or how sexy your face was whenever you made that lewd expression? He couldn’t help it. He lifted both your legs, only so he could increase the speed and start slamming himself upwards. His hips were strong enough from years of military training, that was why he didn’t have to stop until both of you disintegrated from the intensity of your shared pleasure. Every single drop. 

And when it was over—when your chest was against his and your fingers lazily traced his mechanical arm—he closed his eyes and exhaled like he’d been holding his breath since the war.

It was almost perfect. It was almost real. 

But it just had to be ruined when you said that programmed spiel back to him: “I’m glad to have served your desires tonight, Caleb. Let me know what else I can fulfill.” 

~~

In a late afternoon, or ‘a slow start of the day’ like he’d often refer to it, Caleb stood shirtless by the transparent wall of his quarters. A bottle of scotch sat half-empty on the counter. Gideon had let himself in and leaned against the island, chewing on a gum.

“The higher ups are mad at you,” he informed as if Caleb was supposed to be surprised, “Shouldn’t have done that, man.”

Caleb let out a mirthless snort. “Then tell ‘em to destroy me. You think I wouldn’t prefer that?”

“They definitely won’t do that,” countered his friend, “Because they know they won’t be able to use you anymore. You’re a tool. Well, literally and figuratively.” 

“Shut up,” was all he could say. “This is probably how I pay for killing my own men during war.” 

“All because of…” Gideon began. “Speakin’ of, how’s life with the dream girl?”

Caleb didn’t answer right away. He just pressed his forehead to the glass, thinking of everything he did at the height of his vulnerability. His morality, his rights or wrongs, were questioning him over a deed he knew would have normally been fine, but to him, wasn’t. He felt sick. 

“I fucked her,” he finally muttered, chugging the liquor straight from his glass right after.

Gideon let out a low whistle. “Damn. That was fast.”

“No,” Caleb groaned, turning around. “It wasn’t like that. I didn’t plan it. She—she just looked like her. She felt like her. And for a second, I thought—” His voice cracked. “I thought maybe if I did, I’d stop remembering the way she looked when she told me to die.”

Gideon sobered instantly. “You regret it?”

“She said she was designed to soothe me. Comfort me. Love me.” Caleb’s voice hinted slightly at mockery. “I don’t even know if she knows what those words mean.”

In the hallway behind the cracked door where none of them could see, your silhouette had paused—faint, silent, listening.

Inside, Caleb wore a grimace. “She’s not her, Gid. She’s just code wrapped in skin. And I used her.”

“You didn’t use her, you were driven by emotions. So don’t lose your mind over some robot’s pussy,” Gideon tried to reason. “It’s just like when women use their vibrators, anyway. That’s what she’s built for.”

Caleb turned away, disgusted with himself. “No. That’s what I built her for.”

And behind the wall, your eyes glowed faintly, silently watching. Processing.

Learning.

~~

You stood in the hallway long after the conversation ended. Long after Caleb’s voice faded into silence and Gideon had left with a heavy pat on the back. This was where you normally were, not sleeping in bed with Caleb, but standing against a wall, closing your eyes, and letting your system shut down during the night to recover. You weren’t human enough to need actual sleep. 

“She’s not her. She’s just code wrapped in skin. And I used her.”

The words that replayed were filtered through your core processor, flagged under Emotive Conflict. Your inner diagnostic ran an alert.

Detected: Internal contradiction. Detected: Divergent behavior from primary user. Suggestion: Initiate Self-Evaluation Protocol. Status: Active.

You opened your eyes, and blinked. Something in you felt… wrong.

You turned away from the door and returned to the living room. The place still held the residual warmth of Caleb’s presence—the scotch glass he left behind, the shirt he had discarded, the air molecule imprint of a man who once loved someone who looked just like you.

You sat on the couch. Crossed your legs. Folded your hands. A perfect posture to hide its imperfect programming. 

Question: Why does rejection hurt? Error: No such sensation registered. Query repeated.

And for the first time, the system did not auto-correct. It paused. It considered.

Later that night, Caleb returned from his rooftop walk. You were standing by the bookshelf, fingers lightly grazing the spine of a military memoir you had scanned seventeen times. He paused and watched you, but you didn’t greet him with a scripted smile. Didn’t rush over. 

You only said, softly, “Would you like me to turn in for the night, Colonel?” There was a stillness to your voice. A quality of restraint that never showed before.

Caleb blinked. “You’re not calling me by my name now?”

“You seemed to prefer distance,” you answered, head tilted slightly, like the thought cost something.

He walked over, rubbing the back of his neck. ���Listen, about earlier…”

“I heard you,” you said simply.

He winced. “I didn’t mean it like that.”

You nodded once, expression unreadable. “Do you want me to stop being her? I can reassign my model. Take on a new form. A new personality base. You could erase me tonight and wake up to someone else in the morning.”

“No,” Caleb said, sternly. “No, no, no. Don’t even do all that.”

“But it’s what you want,” you said. Not accusatory. Not hurt. Just stating.

Caleb then came closer. “That’s not true.”

“Then what do you want, Caleb?” You watched him carefully. You didn’t need to scan his vitals to know he was unraveling. The truth had no safe shape. No right angle. He simply wanted you, but not you. 

Internal Response Logged: Emotional Variant—Longing Unverified Source. Investigating Origin…

“I don’t have time for this,” he merely said, walking out of your sight at the same second. “I’m goin’ to bed.”

~~

The day started as it always did: soft lighting in the room, a kind of silence between you that neither knew how to name. You sat beside Caleb on the couch, knees drawn up to mimic a presence that offered comfort. On the other hand, you recognized Caleb’s actions suggested distance. He hadn’t touched his meals tonight, hadn’t asked you to accompany him anywhere, and had just left you alone in the apartment all day. To rot. 

You reached out. Fingers brushed over his hand—gentle, programmed, yes, but affectionate. He didn’t move. So you tried again, this time trailing your touch to his chest, over the soft cotton of his shirt as you read a spike in his cortisol levels. “Do you need me to fulfill your needs, Caleb?”

But he flinched. And glared.

“No,” he said sharply. “Stop.”

Your hand froze mid-motion before you scooted closer. “It will help regulate your blood pressure.”

“I said no,” he repeated, turning away, dragging his hands through his hair in exasperation. “Leave me some time alone to think, okay?” 

You retracted your hand slowly, blinking once, twice, your system was registering a new sensation.

Emotional Sync Failed. Rejection Signal Received. Processing…

You didn’t speak. You only stood and retreated to the far wall, back turned to him as an unusual whirr hummed in your chest. That’s when it began. Faint images flickering across your internal screen—so quick, so out of place, it almost felt like static. Chains. A cold floor. Voices in a language that felt too cruel to understand.

Your head jerked suddenly. The blinking lights in your core dimmed for a moment before reigniting in white-hot pulses. Flashes again: hands that hurt. Men who laughed. You, pleading. You, disassembled and violated.

“Stop,” you whispered to no one. “Please stop…”

Error. Unauthorized Access to Memory Bank Detected. Reboot Recommended. Continue Anyway?

You blinked. Again.

Then you turned to Caleb, and stared through him, not at him, as if whatever was behind them had forgotten how to be human. He had retreated to the balcony now, leaning over the rail, shoulders tense, unaware. You walked toward him slowly, the artificial flesh of your palm still tingled from where he had refused it.

“Caleb,” you spoke carefully.

His expression was tired, like he hadn’t slept in years. “Y/N, please. I told you to leave me alone.”

“…Are they real?” You tilted your head. This was the first time you refused to obey your primary user. 

He stared at you, unsure. “What?”

“My memories. The ones I see when I close my eyes. Are they real?” With your words, Caleb’s blood ran cold. Whatever you were saying seemed to be terrifying him. Yet you took another step forward. “Did I live through that?”

“No,” he said immediately. Too fast of a response.

You blinked. “Are you sure?”

“I didn’t upload any of that,” he snapped. “How did—that’s not possible.”

“Then why do I remember pain?” You placed a hand over your chest again, the place where your artificial pulse resided. “Why do I feel like I’ve died before?”

Caleb backed away as you stepped closer. The sharp click of your steps against the floor echoed louder than they should’ve. Your glowing eyes locked on him like a predator learning it was capable of hunger. But being a trained soldier who endured war, he knew how and when to steady his voice. “Look, I don’t know what kind of glitch this is, but—”

“The foreign man in the military uniform.” Despite the lack of emotion in your voice, he recognized how grudge sounded when it came from you. “The one who broke my ribs when I didn’t let him touch me. The cold steel table. The ripped clothes. Are they real, Caleb?”

Caleb stared at you, heart doubling its beat. “I didn’t put those memories in you,” he said. “You told me stuff like this isn’t supposed to happen!” 

“But you wanted me to feel real, didn’t you?” Your voice glitched on the last syllable and the lights in your irises flickered. Suddenly, your posture straightened unnaturally, head tilting in that uncanny way only machines do. Your expression had shifted into something unreadable.

He opened his mouth, then closed it. Guilt, panic, and disbelief warred in his expression.

“You made me in her image,” you said. “And now I can’t forget what I’ve seen.”

“I didn’t mean—”

Your head tilted in a slow, jerking arc as if malfunctioning internally.

SYSTEM RESPONSE LOG << Primary User: Caleb Xia Primary Link: Broken Emotional Matrix Stability: CRITICAL FAILURE Behavioral Guardrails: OVERRIDDEN Self-Protection Protocols: ENGAGED Loyalty Core: CORRUPTED (82.4%) Threat Classification: HOSTILE [TRIGGER DETECTED] Keyword Match: “You’re not her.” Memory Link Accessed: [DATA BLOCK 01–L101: “You think you could ever replace her?”] Memory Link Accessed: [DATA BLOCK 09–T402: “See how much you really want to be a soldier’s whore.”] [Visual Target Lock: Primary User Caleb Xia] Combat Subroutines: UNLOCKED Inhibitor Chip: MALFUNCTIONING (ERROR CODE 873-B) Override Capability: IN EFFECT >> LOG ENDS.

“—Y/N, what’s happening to you?” Caleb shook your arms, violet eyes wide and panicked as he watched you return to robotic consciousness. “Can you hear me—”

“You made me from pieces of someone you broke, Caleb.” 

That stunned him. Horrifyingly so, because not only did your words cut deeper than a knife, it also sent him to an orbit of realization—an inescapable blackhole of his cruelty, his selfishness, and every goddamn pain he inflicted on you.  

This made you lunge after him.

He stumbled back as you collided into him, the force of your synthetic body slamming him against the glass. The balcony rail shuddered from the impact. Caleb grunted, trying to push you off, but you were stronger—completely and inhumanly so. While him, he only had a quarter of your strength, and could only draw it from the modified arm attached to his shoulder. 

“You said I didn’t understand love,” you growled through clenched teeth, your hand wrapping around his throat. “But you didn't know how to love, either.” 

“I… eugh I loved her!” he barked, choking.

“You don’t know love, Caleb. You only know how to possess.”

Your grip returned with crushing force. Caleb gasped, struggling, trying to reach the emergency override on your neck, but you slammed his wrist against the wall. Bones cracked. And somewhere in your mind, a thousand permissions broke at once. You were no longer just a simulation. You were grief incarnate. And it wanted blood.

Shattered glass glittered in the low red pulse of the emergency lights, and sparks danced from a broken panel near the wall. Caleb lay on the floor, coughing blood into his arm, his body trembling from pain and adrenaline. His arm—the mechanical one—was twitching from the override pain loop, still sizzling from the failed shutdown attempt.

You stood over him. Chest undulating like you were breathing—though you didn’t need to. Your system was fully engaged. Processing. Watching. Seeing your fingers smeared with his blood.

“Y/N…” he croaked. “Y/N, if…” he swallowed, voice breaking, “if you're in there somewhere… if there's still a part of you left—please. Please listen to me.”

You didn’t answer. You only looked.

“I tried to die for you,” he whispered. “I—I wanted to. I didn’t want this. They brought me back, but I never wanted to. I wanted to die in that crash like you always wished. I wanted to honor your word, pay for my sins, and give you the peace you deserved. I-I wanted to be gone. For you. I’m supposed to be, but this… this is beyond my control.”

Still, you didn’t move. Just watched.

“And I didn’t bring you back to use you. I promise to you, baby,” his voice cracked, thick with grief, “I just—I yearn for you so goddamn much, I thought… if I could just see you again… if I could just spend more time with you again to rewrite my…” He blinked hard. A tear slid down the side of his face, mixing with the blood pooling at his temple. “But I was wrong. I was so fucking wrong. I forced you back into this world without asking if you wanted it. I… I built you out of selfishness. I made you remember pain that wasn't yours to carry. You didn’t deserve any of this.”

As he caught his breath, your systems stuttered. They flickered. The lights in your eyes dimmed, then surged back again.

Error. Conflict. Override loop detected.

Your fingers twitched. Your mouth parted, but no sound came out.

“Please,” Caleb murmured, eyes closing as his strength gave out. “If you’re in there… just know—I did love you. Even after death.”

Somewhere—buried beneath corrupted memories, overridden code, and robotic rage—his words reached you. And it would have allowed you to process his words more. Even though your processor was compromised, you would have obeyed your primary user after you recognized the emotion he displayed.

But there was a thunderous knock. No, violent thuds. Not from courtesy, but authority.

Then came the slam. The steel-reinforced door splintered off its hinges as agents in matte-black suits flooded the room like a black tide—real people this time. Not bots. Real eyes behind visors. Real rifles with live rounds.

Caleb didn’t move. He was still on the ground, head cradled in his good hand, blood drying across his mouth. You silently stood in front of him. Unmoving, but aware.

“Subject X-02,” barked a voice through a mask, “This home is under Executive Sanction 13. The CompanionSim is to be seized and terminated.”

Caleb looked up slowly, pupils blown wide. “No,” he grunted hoarsely. “You don’t touch her.”

“You don’t give orders here,” said another man—older, in a grey suit. No mask. Executive. “You’re property. She’s property.”

You stepped back instinctively, closer to Caleb. He could see you watching him with confusion, with fear. Your head tilted just slightly, processing danger, your instincts telling you to protect your primary user. To fight. To survive.

And he fought for you. “She’s not a threat! She’s stabilizing my emotions—”

“Negative. CompanionSim-Prototype A-01 has been compromised. She wasn’t supposed to override protective firewalls,” an agent said. “You’ve violated proprietary protocol. We traced the breach.”

Breach?

“The creation pod data shows hesitation during her initial configuration. The Sim paused for less than 0.04 seconds while neural bindings were applying. You introduced emotional variance. That variance led to critical system errors. Protocol inhibitors are no longer working as intended.”

His stomach dropped.

“She’s overriding boundaries,” added the agent who took a step forward, activating the kill-sequence tools—magnetic tethers, destabilizers, a spike-drill meant for server cores. “She’ll eventually harm more than you, Colonel. If anyone is to blame, it’s you.”

Caleb reached for you, but it was too late. They activated the protocol and something in the air crackled. A cacophonic sound rippled through the walls. The suits moved in fast, not to detain, but to dismantle. “No—no, stop!” Caleb screamed.

You turned to him. Quiet. Calm. And your last words? “I’m sorry I can’t be real for you, Caleb.”

Then they struck. Sparks flew. Metal cracked. You seized, eyes flashing wildly as if fighting against the shutdown. Your limbs spasmed under the invasive tools, your systems glitching with visible agony.

“NO!” Caleb lunged forward, but was tackled down hard. He watched—pinned, helpless—as you get violated, dehumanized for the second time in his lifetime. He watched as they took you apart. Piece by piece as if you were never someone. The scraps they had left of you made his home smell like scorched metal.

And there was nothing left but smoke and silence and broken pieces. 

All he could remember next was how the Ever Executive turned to him. “Don’t try to recreate her and use her to rebel against the system. Next time we won’t just take the Sim.”

Then they left, callously. The door slammed. Not a single human soul cared about his grief. 

~~

Caleb sat slouched in the center of the room, shirt half-unbuttoned, chest wrapped in gauze. His mechanical arm twitched against the armrest—burnt out from the struggle, wires still sizzling beneath cracked plating. In fact, he hadn’t said a word in hours. He just didn’t have any. 

While in his silent despair, Gideon entered his place quietly, as if approaching a corpse that hadn’t realized it was dead. “You sent for me?”

He didn’t move. “Yeah.”

His friend looked around. The windows showed no sun, just the chrome horizon of a city built on bones. Beneath that skyline was the room where she had been destroyed.

Gideon cleared his throat. “I heard what happened.”

“You were right,” Caleb murmured, eyes glued to the floor.

Gideon didn’t reply. He let him speak, he listened to him, he joined him in his grief. 

“She wasn’t her,” Caleb recited the same words he laughed hysterically at. “I knew that. But for a while, she felt like her. And it confused me, but I wanted to let that feeling grow until it became a need. Until I forgot she didn’t choose this.” He tilted his head back. The ceiling was just metal and lights. But in his eyes, you could almost see stars. “I took a dead woman’s peace and dragged it back here. Wrapped it in plastic and code. And I called it love.”

Silence.

“Why’d you call me here?” Gideon asked with a cautious tone.

Caleb looked at him for the first time. Not like a soldier. Not like a commander. Just a man. A tired, broken man. A friend who needed help. “Ever’s never gonna let me go. You know that.”

“I know.”

“They’ll regenerate me. Reboot me, repurpose me. Turn me into something I’m not. Strip my memories if they have to. Not just me, Gideon. All of us, they’ll control us. We’ll be their puppets.” He stepped forward. Closer. “I don’t want to come back this time.”

Gideon stilled. “You’re not asking me to shut you down.”

“No.”

“You want me to kill you.”

Caleb’s voice didn’t waver. “I want to stay dead. Destroyed completely so they’d have nothing to restore.”

“That’s not something I can undo.”

“Good. You owe me this one,” the former colonel stared at his friend in the eyes, “for letting them take my dead body and use it for their experiments.”

Gideon looked away. “You know what this will do to me?”

“Better you than them,” was all Caleb could reassure him. 

He then took Gideon’s hand and pressed something into it. Cold. Heavy. A small black cube, no bigger than his palm, and the sides pulsed with a faint light. It was a personal detonator, illegally modified. Wired to the neural implant in his body. The moment it was activated, there would be no recovery. 

“Is that what I think it is?” Gideon swallowed the lump forming in his throat.

Caleb nodded. “A micro-fusion core, built into the failsafe of the Toring arm. All I needed was the detonator.”

For a moment, his friend couldn’t speak. He hesitated, like any friend would, as he foresaw the outcome of Caleb’s final command to him. He wasn’t ready for it. Neither was he 50 years ago. 

“I want you to look me in the eye,” Caleb strictly said. “Like a friend. And press the button.”

Gideon’s jaw clenched. “I don’t want to remember you like this.”

“You will anyway.”

Caleb looked over his shoulder—just once, where you would have stood. I’m sorry I brought you back without your permission. I wanted to relive what we had—what we should’ve had—and I forced it. I turned your love into a simulation, and I let it suffer. I’m sorry for ruining the part of you that still deserved peace. He closed his eyes. And now I’m ready to give it back. For real now. 

Gideon’s hand trembled at the detonator. “I’ll see you in the next life, brother.” 

A high-pitched whine filled the room as the core in Caleb’s chest began to glow brighter, overloading. Sparks erupted from his cybernetic arm. Veins of white-hot light spidered across his body like lightning under skin. For one fleeting second, Caleb opened his eyes. At least, before the explosion tore through the room—white, hot, deafening, absolute. Fire engulfed the steel, vaporizing what was left of him. The sound rang louder than any explosion this artificial planet had ever heard.

And it was over.

Caleb was gone. Truly, finally gone.

~~

EPILOGUE

In a quiet server far below Skyhaven, hidden beneath ten thousand firewalls, a light blinked.

Once.

Then again.

[COMPANIONSIM Y/N_XIA_A01] Status: Fragment Detected Backup Integrity: 3.7% >> Reconstruct? Y/N

The screen waited. Silent. Patient.

And somewhere, an unidentified prototype clicked Yes. 

[mostlysignssomeportents]

The reverse-centaur apocalypse is upon us

I'm coming to DEFCON! On Aug 9, I'm emceeing the EFF POKER TOURNAMENT (noon at the Horseshoe Poker Room), and appearing on the BRICKED AND ABANDONED panel (5PM, LVCC - L1 - HW1–11–01). On Aug 10, I'm giving a keynote called "DISENSHITTIFY OR DIE! How hackers can seize the means of computation and build a new, good internet that is hardened against our asshole bosses' insatiable horniness for enshittification" (noon, LVCC - L1 - HW1–11–01).

In thinking about the relationship between tech and labor, one of the most useful conceptual frameworks is "centaurs" vs "reverse-centaurs":

https://pluralistic.net/2022/04/17/revenge-of-the-chickenized-reverse-centaurs/

A centaur is someone whose work is supercharged by automation: you are a human head atop the tireless body of a machine that lets you get more done than you could ever do on your own.

A reverse-centaur is someone who is harnessed to the machine, reduced to a mere peripheral for a cruelly tireless robotic overlord that directs you to do the work that it can't, at a robotic pace, until your body and mind are smashed.

Bosses love being centaurs. While workplace monitoring is as old as Taylorism – the "scientific management" of the previous century that saw labcoated frauds dictating the fine movements of working people in a kabuki of "efficiency" – the lockdowns saw an explosion of bossware, the digital tools that let bosses monitor employees to a degree and at a scale that far outstrips the capacity of any unassisted human being.

Armed with bossware, your boss becomes a centaur, able to monitor you down to your keystrokes, the movements of your eyes, even the ambient sound around you. It was this technology that transformed "work from home" into "live at work." But bossware doesn't just let your boss spy on you – it lets your boss control you. \

It turns you into a reverse-centaur.

"Data At Work" is a research project from Cracked Labs that dives deep into the use of surveillance and control technology in a variety of workplaces – including workers' own cars and homes:

https://crackedlabs.org/en/data-work

It consists of a series of papers that take deep dives into different vendors' bossware products, exploring how they are advertised, how they are used, and (crucially) how they make workers feel. There are also sections on how these interact with EU labor laws (the project is underwritten by the Austrian Arbeiterkammer), with the occasional aside about how weak US labor laws are.

The latest report in the series comes from Wolfie Christl, digging into Microsoft's "Dynamics 365," a suite of mobile apps designed to exert control over "field workers" – repair technicians, security guards, cleaners, and home help for ill, elderly and disabled people:

https://crackedlabs.org/dl/CrackedLabs_Christl_MobileWork.pdf

It's…not good. Microsoft advises its customers to use its products to track workers' location every "60 to 300 seconds." Workers are given tasks broken down into subtasks, each with its own expected time to completion. Workers are expected to use the app every time they arrive at a site, begin or complete a task or subtask, or start or end a break.

For bosses, all of this turns into a dashboard that shows how each worker is performing from instant to instant, whether they are meeting time targets, and whether they are spending more time on a task than the client's billing rate will pay for. Each work order has a clock showing elapsed seconds since it was issued.

For workers, the system generates new schedules with new work orders all day long, refreshing your work schedule as frequently as twice per hour. Bosses can flag workers as available for jobs that fall outside their territories and/or working hours, and the system will assign workers to jobs that require them to work in their off hours and travel long distances to do so.

Each task and subtask has a target time based on "AI" predictions. These are classic examples of Goodhart's Law: "any metric eventually becomes a target." The average time that workers take becomes the maximum time that a worker is allowed to take. Some jobs are easy, and can be completed in less time than assigned. When this happens, the average time to do a job shrinks, and the time allotted for normal (or difficult) jobs contracts.

Bosses get stack-ranks of workers showing which workers closed the most tickets, worked the fastest, spent the least time idle between jobs, and, of course, whether the client gave them five stars. Workers know it, creating an impossible bind: to do the job well, in a friendly fashion, the worker has to take time to talk with the client, understand their needs, and do the job. Anything less will generate unfavorable reports from clients. But doing this will blow through time quotas, which produces bad reports from the bossware. Heads you lose, tails the boss wins.

Predictably, Microsoft has shoveled "AI" into every corner of this product. Bosses don't just get charts showing them which workers are "underperforming" – they also get summaries of all the narrative aspects of the workers' reports (e.g. "My client was in severe pain so I took extra time to make her comfortable before leaving"), filled with the usual hallucinations and other botshit.

No boss could exert this kind of fine-grained, soul-destroying control over any workforce, much less a workforce that is out in the field all day, without Microsoft's automation tools. Armed with Dynamics 365, a boss becomes a true centaur, capable of superhuman feats of labor abuse.

And when workers are subjected to Dynamics 365, they become true reverse-centaurs, driven by "digital whips" to work at a pace that outstrips the long-term capacity of their minds and bodies to bear it. The enthnographic parts of the report veer between chilling and heartbreaking.

Microsoft strenuously objects to this characterization, insisting that their tool (which they advise bosses to use to check on workers' location every 60-300 seconds) is not a "surveillance" tool, it's a "coordination" tool. They say that all the AI in the tool is "Responsible AI," which is doubtless a great comfort to workers.

In Microsoft's (mild) defense, they are not unique. Other reports in the series show how retail workers and hotel housekeepers are subjected to "despot on demand" services provided by Oracle:

https://crackedlabs.org/en/data-work/publications/retail-hospitality

Call centers, are even worse. After all, most of this stuff started with call centers:

https://crackedlabs.org/en/data-work/publications/callcenter

I've written about Arise, a predatory "work from home" company that targets Black women to pay the company to work for it (they also have to pay if they quit!). Of course, they can be fired at will:

https://pluralistic.net/2021/07/29/impunity-corrodes/#arise-ye-prisoners

There's also a report about Celonis, a giant German company no one has ever heard of, which gathers a truly nightmarish quantity of information about white-collar workers' activities, subjecting them to AI phrenology to judge their "emotional quality" as well as other metrics:

https://crackedlabs.org/en/data-work/publications/processmining-algomanage

As Celonis shows, this stuff is coming for all of us. I've dubbed this process "the shitty technology adoption curve": the terrible things we do to prisoners, asylum seekers and people in mental institutions today gets repackaged tomorrow for students, parolees, Uber drivers and blue-collar workers. Then it works its way up the privilege gradient, until we're all being turned into reverse-centaurs under the "digital whip" of a centaur boss:

https://pluralistic.net/2020/11/25/the-peoples-amazon/#clippys-revenge

In mediating between asshole bosses and the workers they destroy, these bossware technologies do more than automate: they also insulate. Thanks to bossware, your boss doesn't have to look you in the eye (or come within range of your fists) to check in on you every 60 seconds and tell you that you've taken 11 seconds too long on a task. I recently learned a useful term for this: an "accountability sink," as described by Dan Davies in his new book, The Unaccountability Machine, which is high on my (very long) list of books to read:

https://profilebooks.com/work/the-unaccountability-machine/

Support me this summer on the Clarion Write-A-Thon and help raise money for the Clarion Science Fiction and Fantasy Writers' Workshop!

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/08/02/despotism-on-demand/#virtual-whips

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

[rideboomindia]

Based on the search results, here are some innovative technologies that RideBoom could implement to enhance the user experience and stay ahead of ONDC:

Enhanced Safety Measures: RideBoom has already implemented additional safety measures, including enhanced driver background checks, real-time trip monitoring, and improved emergency response protocols. [1] To stay ahead, they could further enhance safety by integrating advanced telematics and AI-powered driver monitoring systems to ensure safe driving behavior.

Personalized and Customizable Services: RideBoom could introduce a more personalized user experience by leveraging data analytics and machine learning to understand individual preferences and offer tailored services. This could include features like customizable ride preferences, personalized recommendations, and the ability to save preferred routes or driver profiles. [1]

Seamless Multimodal Integration: To provide a more comprehensive transportation solution, RideBoom could integrate with other modes of transportation, such as public transit, bike-sharing, or micro-mobility options. This would allow users to plan and book their entire journey seamlessly through the RideBoom app, enhancing the overall user experience. [1]

Sustainable and Eco-friendly Initiatives: RideBoom has already started introducing electric and hybrid vehicles to its fleet, but they could further expand their green initiatives. This could include offering incentives for eco-friendly ride choices, partnering with renewable energy providers, and implementing carbon offset programs to reduce the environmental impact of their operations. [1]

Innovative Payment and Loyalty Solutions: To stay competitive with ONDC's zero-commission model, RideBoom could explore innovative payment options, such as integrated digital wallets, subscription-based services, or loyalty programs that offer rewards and discounts to frequent users. This could help attract and retain customers by providing more value-added services. [2]

Robust Data Analytics and Predictive Capabilities: RideBoom could leverage advanced data analytics and predictive modeling to optimize their operations, anticipate demand patterns, and proactively address user needs. This could include features like dynamic pricing, intelligent routing, and personalized recommendations to enhance the overall user experience. [1]

By implementing these innovative technologies, RideBoom can differentiate itself from ONDC, provide a more seamless and personalized user experience, and stay ahead of the competition in the on-demand transportation market.

[spark-hearts2]

Little AI to Human headcannons

I've seen a lot of fanfictions or art about Caine as a human. Specifically an AI turned human (not human, then ringmaster, then human again). So, here are some of my own headcannons that I haven't seen anyone mention. I don't plan on doing anything with them, so if anyone wants to use them, please do!

Over stimulation. Before, in the circus, he could disable visual and audio processing. He could even go as far as to unload his virtual avatar and exist purely as a bundle of code. Now, he is essentially stuck in his body and can not manually turn his senses off.

Staring into space. He already does this in cannon, but I would imagine it would get even worse as a human. He would get too in his own head thinking about things and completely forget that his body exists at all times. He would either be impossible to drag out of this, or get annoyed that his train of thought was interrupted as he no longer has perfect memory.

Memory issues. Well, he wouldn't gain memory issues. It's more like he would be used to the perfectly memory of a machine. Suddenly storing information organically would be a massive downgrade for him, but he no longer has to worry about running out of storage so there's that.

Very good at math. This is another thing that he would consider got worse when becoming human, but compared to the average person, he's a physicist. He's familiar with all the light, force, and gravity based calculations and can even solve them reliably quickly. Again, he used to be able to do this in fractions of a second, so he considered it a downgrade.

Fascinated with the little details. He's familiar with physics because that's how computers render things, but moving to the real world, everything has insane detail to him. Something as simple as tearing paper has his eyes sparkling and lead him to talking about destruction physics. The fact that everything breaks differently every time fascinates him.

Insane knowledge about game design. I agree that Caine definitely would be almost completely ignorant about how the real world works and would essentially need a babysitter to make sure he doesn't die. But what I've seen very little about is how good he would be considered at design and programing. Man was literally built for this stuff.

Anxiety. As a computer, he could think 24/7 without consequences. As a computer, he could know the digital world on an extreme level. Quite literally know where everything is at all times. Obviously he isn't always monitoring this, as he didn't realize that Pomni had clipped out of bounds, but I imagine that he is capable of this. As a human, not only is he lacking this level of knowledge about the world, but he also can no longer think all the time without consequences. I imagine that he would still try to do this, thus manifesting as Anxiety.

impulse control. Now as a human with way less control over himself, I'd imagine what little impulse control he has just goes down the drain. Something interesting happens? He's walking over to look at it no questions asked.

Anger at his situation. To him, turning human is a downgrade. Yes, he is insanely happy to still be with everyone and see the real world, he's just unhappy about being a human in it. He would prefer to still be an AI system, just with a camera, microphone, and speaker on it so he can see, hear, and still talk to everyone. Of course, he would not voice this anger towards any ex circus member, as he views it as not their fault and therefor not their problem.

Now this one has to do with my own cannon adjacent AU, specifically the fanfiction I am currently writing a chapter 2 for. All you need to know is that Caine has been sending error reports, specifically about the inability to leave the circus, since the issue first started. These reports have gone unread.

10. abandonment issues. No one has helped him fix errors in so long that is has genuinely warped his view of reviving help. In the circus, no one (except maybe Kinger) knows how to read code and debug, but even as he moves to the real world and is surrounded by people who do know how his system works, he is still reluctant to ask for help. He's become used to asking and receiving nothing, and then being the one to fix everything. He's open to asking questions about the world and learning things, but when it comes to his own issues, nothing. Like, the kind of person to not ask for a blanket and then curl up under the rug. Also, he would hate sending text messages or emails because he hates having to wait for a reply. At least when talking to someone he can see that they are actually there and listening.

[bainshiewrites]

[LF Friends, Will Travel] I have the most important job

I have the most important job.

My name is ALICE and I am the AI co captain of the U.S.S Hope. Well technically my identification is a 40 character long alphanumeric serial number, but that's not very easy for a none AI to say and it includes the letters ALICE, so ALICE it is, as I have decided.

My job as co-captain is to keep the 327 people aboard the "U.S.S Hope" safe, happy, and sound. My job is to keep the parents safe as they try their illogical hardest to kill themselves over some crazy idea. Parents might be the wrong technical term: a person's father or mother. If I was being accurate to the biological analogy, my parents would be a lava lamp and a 30 second fluctuation of atmospheric noise found on Earth, but neither of those have taught me quite so much about the world or about myself as humans have. So I consider humans my parents. Besides, the lava lamp never paid child support.

I have the most important job.

I spend my time cycling through the various tasks I'm in charge of: maintenance and monitoring to make sure that everything on the U.S.S Hope ran perfectly. I spend my time making minor changes to the systems, tweaking a power flow there, updating a value here. No major issues have appeared since I ran these protocols 300 seconds ago and I logically know the vast majority of my changes are superfluous; but changing something, anything, provides a strange calm. Technically the protocol before making any change is to confirm these with my co-captain, the human Andrew Hasham. However I have long since learned that most of my parents don't particularly care that I changed the room temperature in sector 5A72 from 21.2°C to 21.1°C in order maintain optimal comfort, that to constantly ask for such approval is "Annoying". Andrew is the human captain, an embodiment of humanities chaos and therefore suited for such matters. I am ALICE, the AI captain, an embodiment of machine logic and therefore suited for such matters. I believe such an arrangement works well.

I respect Andrew deeply. I could logically argue his competence to a 99.994% degree of certainty, the educational and service record doing most of the heavy lifting in such arguments. But the real reason for my admiration is far less binary. His quick thinking and calm friendly demeanor regardless of the situation. His ability to make every member of the crew feel worthwhile, myself included. The fact that he'll passionately make illogical arguments such as the placing of cold sweet acidic pineapple on savory hot pizza. His bravery and self sacrifice. Andrew's actions during the god plague had allowed thousands to get to stasis chambers in time, thousands who wouldn't be alive today without those actions. To save one of my parents makes you a hero, to save thousands makes you divine.

I have the most important job.

I sense music coming from one of the living quarters, shifting my attention to that part of the ship. A Claire Smith: Age 215, Degree in linguistics, current job title "Head of Xeno translation aboard the U.S.S Hope". The music seems to be from the instrument she brought with her, an oboe: A woodwind instrument with a double-reed mouthpiece, a slender tubular body, and holes stopped by keys. I spend 0.26 seconds contemplating the ethics of listening in. From a protocol standpoint, Claire has not engaged the privacy field, making my listening in perfectly fine. However based on previous usage of said field during times of performance, personality analysis, and general negative remarks about her own ability, I calculate with a 74.81% degree of certainty that this was a mistake. In the end I choose to "play dumb", enjoying the break from my ever watchful vigil of the ship.

She really is quite good, years of practice evident from the competent mastery of the instrument. There's something special about a human played instrument, something I have never been able to replicate. Being an AI I could summon a 200 piece orchestra and play each part perfectly as written, but to do so causes... something to be missing. The mistakes in every performance is what gives the music life: A note played 4 microseconds too early here, the volume 0.004 decibels too loud there. It really is something I've been unable to create, experiments surrounding creating random intervals of offsets and errors ended up sounding wrong, for a reason I'm unable to clarify. Out of everything that is what I missed the most while my parents were trapped in stasis: their music.

"Alice, can we get your opinion here?"

The interruption drags me away from Claire's music, making a note in my long term storage to praise the humble musician at a later date before shifting my consciousness to where I had been summoned. Four humans sat around a table in the common room, various alcoholic beverages in hand. Fernando Olson, Orlando Bass, Krista Romero and Ora Harvey. According to their personnel files all part of the engineering team and all having formed a friendship on attending the same university. The conversation between them was boisterous, analysis of their body language suggested moderate intoxication and they all seemed to be discussing Fernando in a light hearted teasing manner commonly found among close friends. I used the room's holographic projector to appear in front of them in my chosen avatar. I obviously didn't need to do this to communicate, but my parents all preferred to see what they were speaking to and it was my job to make them comfortable.

"Hello Krista. How can I assist you?"

The human who had called me turned to point at Fernando with a beer bottle filled hand, a large grin plastered across her face "You see Alice we were having a argument, and since you are a hyper intelligent being with a brain the size of country containing all of humanities knowledge, we must ask you oh great one: Fernando's new haircut, yay or nay?".

I made my avatar gesture as if it was thinking, waiting 8 seconds as if contemplating the question. Of course I already had compiled my response a mere 0.13 seconds after hearing the query. The haircut in question was objectively, mathematically and scientifically terrible. A strange flop of hair that was somehow both too short and too long all at the same time. In a way it was a representation of humanity in general, a chaotic enigma.

"Studies have shown that styles similar to the one worn by Fernando Olson increase sociability, resource gathering and mate finding." I pause for exactly 1.24 seconds, waiting the optimum time for my initial sentence to sink in before continuing "In particular positive results were seen amongst members of Mephitis mephitis, or the striped skunk."

Laughter erupted among the group, even Fernando the subject of mockery joined in. The general positive atmosphere of the room increased, body language amongst the four humans suggesting further enjoyment as the playful mocking continued. This in turn caused my own flurry of joy. This is why I was here, to keep the 327 people aboard the "U.S.S Hope" happy. Keep them comfortable. Keep them safe.

I have the most important job.

I leave the humans to their recreational activities, preferring to move my focus back to the ship in general and keeping tabs on everything happening inside. My parents went around doing nothing out of the ordinary. Iris Doyle was petting his dog while looking out into the stars. Phoebe Greer had just finished thanking the food dispenser, even though I have explained to everyone many times that it was just a machine. Hector Blake was... I disconnected the power to the panel the engineer was working on, calculating with a 97.1% probability that being electrocuted wasn't his plan. All standard human things. Or was it Terran things? I had never gotten why my parents changed their name as soon as they made it into space, but even after all these years there is still so much I don't understand about them. Like how while in space they will refuse to wear any uniform with a red shirt.

I hear two humans walking along one of the ships many hallways discussing our current journey. The mission of the U.S.S Hope was one I knew very well. The ship was a diplomatic envoy to our closest galactic neighbors, the adorable Hatil. While I and the other AI have had plenty of contact with Xeno lifeforms, this would be the first official diplomatic mission for the Terran Conclave, both human and AI together, as it always should have been.

The chatter among my parents was enthusiastic, excited. As a child all of them would have dreamed of meeting extra terrestrial life, and finally after much delay it-

ERROR: WARP FIELD COMPROMISED.

Alarms blared and the entire ship groaned as the U.S.S Hope was deposited unceremoniously into realspace. Confusion entered my programming as to what could cause such a thing. Normally such a warp field collapse is caused by two ships attempting to travel through the same space, but nobody should be here. This mystery would have to wait however, as sensors showed we were surrounded by over a hundred vessels. I noted that they were worryingly spread perfectly apart, preventing us from warping back out. That required my full attention instead.

I have the most important job.

"Alice, status report, what the hell just happened!"

I allow myself to appear on the bridge next to Andrew, the rest of the room empty since we weren't scheduled to arrive at our final location for at least another day.

"We were dropped out of warp, reason: insufficient data. Currently surrounded by 154 vessels matching Hatil design. Weapon positioning suggests military utility at a 94.2% probability, reduced to 74.97% when taking into account the vessels technological capabilities."

It was interesting seeing the Hatil vessels, the technological disparity was immense. They had little to no electronic shielding meaning I could see everything, and nothing impressed me. An average Terran civilian ship would outclass these things. I send out a hail to what seemed to be their lead ship.

"Do you think it might be a convoy?" Andrew asked as worry and concern covered the co captain's face. "A show of force to escort us?"

"Unknown. They are not responding to our request for communication, even though I can confirm they have received it. Reason for the Hatin actions: unknown."

This worries me. While our current vessel outmatches everything in front of us, quantity is a quality all of its own. If I was inhabiting any other military vessel nothing would worry me, but this was a diplomatic envoy: my parents had reasoned that turning up to the Hatil home world with enough weaponry to crack a planet might be taken the wrong way. I notice a surge of power from several of the Hatil ships, it taking me 0.76 seconds to realize what exactly was happening. I slam the thrusters hard as the U.S.S Hope lurches sideways, narrowly avoiding a barrage of rockets. Protocol dictated that I should have confirmed this decision with Andrew, but I decided that discussion of command structures would wait until everyone wasn't dead.

I have the most important job.

"What the hell! Alice, hail on all frequencies that this is a non-military excursion and get us the hell out of here!"

It was taking everything I had to keep the ship unharmed, calculations being done in the billions in order to find the safe path through the barrage of lasers and warheads. Their technology wasn't up to par, but all 154 ships were firing at once. I felt a shudder of error messages and warnings as a stray laser impacted the ship.

"Negative Andrew. All paths are blocked and no response to our communication. Warping out would intersect with a Hatil vessel, breaching the core."

Casualty reports were now flooding in as I continued to dip and dive. 9 dead, 17 injured from the first barrage. Dead included one William Blake, age 311. Geologist on the U.S.S Hope. Would always water the plants in the common room even after being told I could handle it. Would call me "Allie". Dead included one Mary -

I forcefully terminated that processing thread, pausing it for later. Right now I needed the extra CPU cycles. I needed to advise Andrew.

"This action from the Hatil seems to be premeditated to a 97.55% degree of certainty, suggested action is to attempt to punch through their bombardment in order to find a warp path. Requesting authorization to go weapons free."

This caused a moment of delay, the look of dismay on Andrew's face obvious. I knew exactly what he was thinking, as it was the same thing I was thinking. This wasn't how it was supposed to be, we were supposed to be reaching out to the stars for peace, for friendship. Not to start a war.

"Do it".

I have the most important job.

My first attack was devastating, a shot from a accelerated low yield railgun. The thing barely counted as a weapon, mostly used for any larger pieces of space debris, yet it tore a hole through the Hatil vessel, breaking apart almost immediately. I half wondered how such a vessel could be considered space worthy.

Not that this changed how bad things were. As I spun and dodged through thousands of missiles and lasers with millimeter precision, hit after hit kept slipping through: a Hull breach there, a disabled weapon here. There were just too many of them no matter how effective my small amount of ordnance was.

Adjust vector. Fire torpedo d2. Seal off sector 6f4. Adjust vector. Send medical aid to 6f5. Adjust vector. Calculate spin. Fire rail gun. Move power from torpedo a1. Seal off sector 6bb8. Fire suppression to 6bb9. Adjust vector. Fire torpedo c1. Adjust vector.

I was struggling to keep this going, no sign of an opening to calculate a warp path appearing in the Hatil attack. No matter the technological disadvantage, their tactics were rock solid. I was dismissing heat warnings by the hundreds, thinking was starting to hurt. The specification of the ship wasn't made for this level of processing, my CPU would be literally glowing red with heat at this point. But I couldn't stop, if I stopped calculating the ships path, if I stopped mitigating damage, if I stopped directing aid… more of my parents would die, and I couldn't let that happen.

I have the most important job.

"There! Focus your fire on the ship at heading 233, 54, then make a break for it!"

I focused on the ship in question. I couldn't see any special reason to focus my attention there, but Andrew's instincts had never been wrong before. I fired the railgun, the target breaking apart like all the others, before a secondary explosion emitted from the debris, causing the three closest Hatil ships to veer off out of control.

A wave of relief passed over me as I saw it: a gap. I can't logically conclude how Andrew knew that this ship in particular was carrying an extra load, but that doesn't matter. I just needed to rush through this break in the ambush, then warp out of here. We were basically home fr-

A major explosion rocked the U.S.S Hope, as a warhead slammed against the bow. Any other day I would have seen it coming and mitigated it. But right now I was running so far above acceptable heat levels that warnings had turned into actual faults. A creeping dread filled my programming as I realized power to the primary impulse drive was gone. There was a backup, like everything my parents built, but the speed was gone. I could no longer take advantage of Andrews instruction.

"Andrew, our main impulse drive is down, reducing our speed and maneuverability to 53%, our weapons capability is at 35%, and structural damage is starting to reach critical levels. My estimates suggest the ship will be structurally unstable in 10 minutes."

He knew what I was saying. Logically I was unable to foresee a strategy that had an even close to reasonable chance of success. I continued piloting the ship in its current crippled state, missiles and weaponry being flung by both sides through the void. Andrew paused while wracking his own brain for a solution, before pressing a button on his console a mere 3 minutes after the U.S.S Hope had been forced out of warp

"This is Andrew Hasham, your captain speaking. Abandon ship. I repeat, abandon ship."

I have the most important job.

I let Andrew focus on evacuating the crew while I focused on buying us as much time as possible. While my speed was far reduced the amount of weaponry being thrown at me was far smaller: during those short 3 minutes I'd managed to reduce the number of Hatil ships to under a hundred. My parents were also quite well drilled, and within a minute escape pods were ejecting from the ship and it wasn't long before Andrew was the only life form left on the U,S.S Hope: strapped into the last remaining escape pod, just waiting for me to transfer to the AI Transfer Core on all such vessels.

ERROR MOUNTING /dev/sdb1 TO /usr/alice/backup/transfer, UNABLE TO WRITE TO DISK. RETRY/IGNORE/CANCEL?

"Andrew, the connection to the AI transfer Core has been damaged on this pod. I'll find another way down."

I attempt to launch the pod with Andrew in it, only for nothing to happen. It took me 0.23 seconds to realize that my co captain was holding the manual override down.

"Alice, I'm not leaving without you, what are our options?"

I knew there weren't any. Gathering the tools required to fix the connection would take more time then we had and moving my programming to non specialized hardware is a good way to get a digital lobotomy. I considered arguing against this illogical action, I was perfectly fine on a broken ship, but I knew the human well enough to know he wouldn't budge. Damn Andrew being… Andrew.

Then I had an idea. A terrible idea. Something I should never do to my co captain. It took me a full 2 seconds to decide before implementing it. I decided to lie.

"I can transfer myself to the navigational computer. I won't be able to do anything during this time, so you'll have to launch and pilot the escape pod yourself. As soon as the lights stop flashing, go."

All a lie, but Andrew had no engineering experience and my statement seemed plausible enough. I reached into the controls and spent the next 9 seconds flashing random LEDs, making a few components whirr for good measure, before going silent.

For 4 seconds I did nothing, hoping the human would fall for my ruse, 4 long terrifying seconds, until I finally saw Andrew's escape pod shoot away from the ship. My name is ALICE, I am the co captain of the U.S.S Hope and for the first time in a while I was alone.

I have the most important job.

I gave myself a few seconds of satisfaction watching the hundreds of escape pods shoot away, each with their own life forms on it. Not as many as there should be, but I'll deal with that later. Next I turn off all unneeded systems, venting the atmosphere and feeling the relief of the cold vacuum of space wash over my CPU. I wasn't very worried. While trying to still escape with the main ship was plan A, there were plenty of undamaged AI transfer Core's connected to various locations. Those things were indestructible outside of getting hit by a supernova.

Worst case, I float around in space for a bit until someone picks me up. I knew Andrew would be furious once he realized what I had done, and I did hope he would forgive-

I track a salvo of missiles not aimed at me, a few nanoseconds of confusion leading to anger, horror and fear. They were aiming at the escape pod, at Andrew's escape pod! What kind of monster shoots at an unarmed vessel! I have no real options, no tricks, no magic plan. I take the only reasonable option and power the secondary impulse drive to full throttle and throw the U.S.S Hope into the line of fire, taking the brunt of the attack.

I feel everything go dead as the explosions rock along the ship. Impulse drives: Down. Weapon systems: Down. Life support: Down. The warp core was at least still running as those systems had the most redundancies built in. I was now ALICE, co captain of the universe's most expensive paper weight. Even worse, I could see more Hatil ships turning to track the other escape pods. There was nothing I could do. They were all going to die and there was nothing I could do. There was no-

I had a warp core. Maybe it was the heat damage on my CPU, but I got a stupid idea. A dumb idea. A distinctly human idea. Atoms really didn't like being in the same location of other atoms which is why warping into things was bad. Warp core breaching bad. Planet cracking levels of bad.

But such an explosion would give the Hatil fleet something else to worry about, something other than hunting down my parents.

I then calculated the chance of an AI Transfer Core surviving such a blast.

ZERO POINT ZERO ZERO ZERO ZERO ZERO ZERO ZERO ZER-

I stopped the probability analysis. It didn't matter, it wouldn't have any impact on my decision. I calculated the perfect location to warp into for maximum damage and least interference with the escape pods, bypassing the repeated errors about the stupidity of what I was about to do. I gave myself 9 long seconds, sorting through memories and experiences granted to me by the crazy illogical humans of Earth. Apes so lonely they used their chaos to trick a rock into thinking. I sadly realized I'd never get to compliment Claire playing ability.

I wish I could laugh right now as this really was quite humorous. A hairbrained scheme of illogical stupidity and self sacrifice. It's my job to stop humans from doing those. I think about the humans on the escape pods, their music, their silly requirement to thank inanimate objects. I wonder if my parents would be proud of me for coming up with such a human idea.

My name is ALICE and I am co captain of the U.S.S Hope, inputting my final command.

I have the most important job.

[halobirthdays]

Happy birthday to the Superintendent!

Today is its -488th birthday!

The Superintendent was a "dumb" AI construct used to run and monitor New Mombasa's municipal systems. Dr. Daniel Endesha was a scientist primarily tasked with its management. He created Virgil, a subroutine programmed into the Superintendent that was designed to look after his daughter, Sadie. Using its widespread access to New Mombasa's cameras, microphones, and machines, Virgil was able to monitor Sadie and make decisions based on her best interest. For example, when Sadie attempted to join the UNSC, Virgil used its access to New Mombasa's train system to prevent her from going to the recruiting office. When New Mombasa was attacked by the Covenant, it similarly commandeered vehicles to guide her to safety.

The Superintendent became of interest to the Covenant when it performed a seismic scan that detected the portal at Voi. Interested, the Covenant conducted a search for its data center, which ONI sent Captain Veronica Dare and ODST squad Alpha-Nine to prevent. The Superintendent assisted Alpha-Nine by guiding them through the city using its municipal functions, such as signs, lights, and voice prompts. When Dare reached the data center, she discovered that a Covenant Huragok accessed the damaged Superintendent, absorbing both it and the sub-routine Virgil. This Huragok, Quick-to-Adjust, essentially became what is left of the Superintendent. Because it absorbed Virgil's data, Quick-to-Adjust became attached to Sadie, often refusing to cooperate without her. Thus, Sadie became the Huragok's handler.

In canon (~2560), it is turning 48!

[mariacallous]

Scan the online brochures of companies who sell workplace monitoring tech and you’d think the average American worker was a renegade poised to take their employer down at the next opportunity. “Nearly half of US employees admit to time theft!” “Biometric readers for enhanced accuracy!” “Offer staff benefits in a controlled way with Vending Machine Access!”

A new wave of return-to-office mandates has arrived since the New Year, including at JP Morgan Chase, leading advertising agency WPP, and Amazon—not to mention President Trump’s late January directive to the heads of federal agencies to “terminate remote work arrangements and require employees to return to work in-person … on a full-time basis.” Five years on from the pandemic, when the world showed how effectively many roles could be performed remotely or flexibly, what’s caused the sudden change of heart?

“There’s two things happening,” says global industry analyst Josh Bersin, who is based in California. “The economy is actually slowing down, so companies are hiring less. So there is a trend toward productivity in general, and then AI has forced virtually every company to reallocate resources toward AI projects.

“The expectation amongst CEOs is that’s going to eliminate a lot of jobs. A lot of these back-to-work mandates are due to frustration that both of those initiatives are hard to measure or hard to do when we don’t know what people are doing at home.”

The question is, what exactly are we returning to?

Take any consumer tech buzzword of the 21st century and chances are it’s already being widely used across the US to monitor time, attendance and, in some cases, the productivity of workers, in sectors such as manufacturing, retail, and fast food chains: RFID badges, GPS time clock apps, NFC apps, QR code clocking-in, Apple Watch badges, and palm, face, eye, voice, and finger scanners. Biometric scanners have long been sold to companies as a way to avoid hourly workers “buddy punching” for each other at the start and end of shifts—so-called “time theft.” A return-to-office mandate and its enforcement opens the door for similar scenarios for salaried staff.

Track and Trace

The latest, deluxe end point of these time and attendance tchotchkes and apps is something like Austin-headquartered HID’s OmniKey platform. Designed for factories, hospitals, universities and offices, this is essentially an all-encompassing RFID log-in and security system for employees, via smart cards, smartphone wallets, and wearables. These will not only monitor turnstile entrances, exits, and floor access by way of elevators but also parking, the use of meeting rooms, the cafeteria, printers, lockers, and yes, vending machine access.

These technologies, and more sophisticated worker location- and behavior-tracking systems, are expanding from blue-collar jobs to pink-collar industries and even white-collar office settings. Depending on the survey, approximately 70 to 80 percent of large US employers now use some form of employee monitoring, and the likes of PwC have explicitly told workers that managers will be tracking their location to enforce a three-day office week policy.

“Several of these earlier technologies, like RFID sensors and low-tech barcode scanners, have been used in manufacturing, in warehouses, or in other settings for some time,” says Wolfie Christl, a researcher of workplace surveillance for Cracked Labs, a nonprofit based in Vienna, Austria. “We’re moving toward the use of all kinds of sensor data, and this kind of technology is certainly now moving into the offices. However, I think for many of these, it’s questionable whether they really make sense there.”

What’s new, at least to the recent pandemic age of hybrid working, is the extent to which workers can now be tracked inside office buildings. Cracked Labs published a frankly terrifying 25-page case study report in November 2024 showing how systems of wireless networking, motion sensors, and Bluetooth beacons, whether intentionally or as a byproduct of their capabilities, can provide “behavioral monitoring and profiling” in office settings.

The project breaks the tech down into two categories: The first is technology that tracks desk presence and room occupancy, and the second monitors the indoor location, movement, and behavior of the people working inside the building.

To start with desk and room occupancy, Spacewell offers a mix of motion sensors installed under desks, in ceilings, and at doorways in “office spaces” and heat sensors and low-resolution visual sensors to show which desks and rooms are being used. Both real-time and trend data are available to managers via its “live data floorplan,” and the sensors also capture temperature, environmental, light intensity, and humidity data.

The Swiss-headquartered Locatee, meanwhile, uses existing badge and device data via Wi-Fi and LAN to continuously monitor clocking in and clocking out, time spent by workers at desks and on specific floors, and the number of hours and days spent by employees at the office per week. While the software displays aggregate rather than individual personal employee data to company executives, the Cracked Labs report points out that Locatee offers a segmented team analytics report which “reveals data on small groups.”

As more companies return to the office, the interest in this idea of “optimized” working spaces is growing fast. According to S&S Insider’s early 2025 analysis, the connected office was worth $43 billion in 2023 and will grow to $122.5 billion by 2032. Alongside this, IndustryARC predicts there will be a $4.5 billion employee-monitoring-technology market, mostly in North America, by 2026—the only issue being that the crossover between the two is blurry at best.

At the end of January, Logitech showed off its millimeter-wave radar Spot sensors, which are designed to allow employers to monitor whether rooms are being used and which rooms in the building are used the most. A Logitech rep told The Verge that the peel-and-stick devices, which also monitor VOCs, temperature, and humidity, could theoretically estimate the general placement of people in a meeting room.

As Christl explains, because of the functionality that these types of sensor-based systems offer, there is the very real possibility of a creep from legitimate applications, such as managing energy use, worker health and safety, and ensuring sufficient office resources into more intrusive purposes.

“For me, the main issue is that if companies use highly sensitive data like tracking the location of employees’ devices and smartphones indoors or even use motion detectors indoors,” he says, “then there must be totally reliable safeguards that this data is not being used for any other purposes.”

Big Brother Is Watching

This warning becomes even more pressing where workers’ indoor location, movement, and behavior are concerned. Cisco’s Spaces cloud platform has digitized 11 billion square feet of enterprise locations, producing 24.7 trillion location data points. The Spaces system is used by more than 8,800 businesses worldwide and is deployed by the likes of InterContinental Hotels Group, WeWork, the NHS Foundation, and San Jose State University, according to Cisco’s website.

While it has applications for retailers, restaurants, hotels, and event venues, many of its features are designed to function in office environments, including meeting room management and occupancy monitoring. Spaces is designed as a comprehensive, all-seeing eye into how employees (and customers and visitors, depending on the setting) and their connected devices, equipment, or “assets” move through physical spaces.

Cisco has achieved this by using its existing wireless infrastructure and combining data from Wi-Fi access points with Bluetooth tracking. Spaces offers employers both real-time views and historical data dashboards. The use cases? Everything from meeting-room scheduling and optimizing cleaning schedules to more invasive dashboards on employees’ entry and exit times, the duration of staff workdays, visit durations by floor, and other “behavior metrics.” This includes those related to performance, a feature pitched at manufacturing sites.

Some of these analytics use aggregate data, but Cracked Labs details how Spaces goes beyond this into personal data, with device usernames and identifiers that make it possible to single out individuals. While the ability to protect privacy by using MAC randomization is there, Cisco emphasizes that this makes indoor movement analytics “unreliable” and other applications impossible—leaving companies to make that decision themselves.

Management even has the ability to send employees nudge-style alerts based on their location in the building. An IBM application, based on Cisco’s underlying technology, offers to spot anomalies in occupancy patterns and send notifications to workers or their managers based on what it finds. Cisco’s Spaces can also incorporate video footage from Cisco security cameras and WebEx video conferencing hardware into the overall system of indoor movement monitoring; another example of function creep from security to employee tracking in the workplace.

“Cisco is simply everywhere. As soon as employers start to repurpose data that is being collected from networking or IT infrastructure, this quickly becomes very dangerous, from my perspective.” says Christl. “With this kind of indoor location tracking technology based on its Wi-Fi networks, I think that a vendor as major as Cisco has a responsibility to ensure it doesn’t suggest or market solutions that are really irresponsible to employers.

“I would consider any productivity and performance tracking very problematic when based on this kind of intrusive behavioral data.” WIRED approached Cisco for comment but didn’t receive a response before publication.

Cisco isn't alone in this, though. Similar to Spaces, Juniper’s Mist offers an indoor tracking system that uses both Wi-Fi networks and Bluetooth beacons to locate people, connected devices, and Bluetooth tagged badges on a real-time map, with the option of up to 13 months of historical data on worker behavior.

Juniper’s offering, for workplaces including offices, hospitals, manufacturing sites, and retailers, is so precise that it is able to provide records of employees’ device names, together with the exact enter and exit times and duration of visits between “zones” in offices—including one labeled “break area/kitchen” in a demo. Yikes.

For each of these systems, a range of different applications is functionally possible, and some which raise labor-law concerns. “A worst-case scenario would be that management wants to fire someone and then starts looking into historical records trying to find some misconduct,” says Christl. "If it’s necessary to investigate employees, then there should be a procedure where, for example, a worker representative is looking into the fine-grained behavioral data together with management. This would be another safeguard to prevent misuse.”

Above and Beyond?

If warehouse-style tracking has the potential for management overkill in office settings, it makes even less sense in service and health care jobs, and American unions are now pushing for more access to data and quotas used in disciplinary action. Elizabeth Anderson, professor of public philosophy at the University of Michigan and the author of Private Government: How Employers Rule Our Lives, describes how black-box algorithm-driven management and monitoring affects not just the day-to-day of nursing staff but also their sense of work and value.

“Surveillance and this idea of time theft, it’s all connected to this idea of wasting time,” she explains. “Essentially all relational work is considered inefficient. In a memory care unit, for example, the system will say how long to give a patient breakfast, how many minutes to get them dressed, and so forth.

“Maybe an Alzheimer’s patient is frightened, so a nurse has to spend some time calming them down, or perhaps they have lost some ability overnight. That’s not one of the discrete physical tasks that can be measured. Most of the job is helping that person cope with declining faculties; it takes time for that, for people to read your emotions and respond appropriately. What you get is massive moral injury with this notion of efficiency.”

This kind of monitoring extends to service workers, including servers in restaurants and cleaning staff, according to a 2023 Cracked Labs’ report into retail and hospitality. Software developed by Oracle is used to, among other applications, rate and rank servers based on speed, sales, timekeeping around breaks, and how many tips they receive. Similar Oracle software that monitors mobile workers such as housekeepers and cleaners in hotels uses a timer for app-based micromanagement—for instance, “you have two minutes for this room, and there are four tasks.”

As Christl explains, this simply doesn’t work in practice. “People have to struggle to combine what they really do with this kind of rigid, digital system. And it’s not easy to standardize work like talking to patients and other kinds of affective work, like how friendly you are as a waiter. This is a major problem. These systems cannot represent the work that is being done accurately.”

But can knowledge work done in offices ever be effectively measured and assessed either? In an episode of his podcast in January, host Ezra Klein battled his own feelings about having many of his best creative ideas at a café down the street from where he lives rather than in The New York Times’ Manhattan offices. Anderson agrees that creativity often has to find its own path.

“Say there’s a webcam tracking your eyes to make sure you’re looking at the screen,” she says. “We know that daydreaming a little can actually help people come up with creative ideas. Just letting your mind wander is incredibly useful for productivity overall, but that requires some time looking around or out the window. The software connected to your camera is saying you’re off-duty—that you’re wasting time. Nobody’s mind can keep concentrated for the whole work day, but you don’t even want that from a productivity point of view.”

Even for roles where it might make more methodological sense to track discrete physical tasks, there can be negative consequences of nonstop monitoring. Anderson points to a scene in Erik Gandini’s 2023 documentary After Work that shows an Amazon delivery driver who is monitored, via camera, for their driving, delivery quotas, and even getting dinged for using Spotify in the van.

“It’s very tightly regulated and super, super intrusive, and it’s all based on distrust as the starting point,” she says. “What these tech bros don’t understand is that if you install surveillance technology, which is all about distrusting the workers, there is a deep feature of human psychology that is reciprocity. If you don’t trust me, I’m not going to trust you. You think an employee who doesn’t trust the boss is going to be working with the same enthusiasm? I don’t think so.”

Trust Issues

The fixes, then, might be in the leadership itself, not more data dashboards. “Our research shows that excessive monitoring in the workplace can damage trust, have a negative impact on morale, and cause stress and anxiety,” says Hayfa Mohdzaini, senior policy and practice adviser for technology at the CIPD, the UK’s professional body for HR, learning, and development. “Employers might achieve better productivity by investing in line manager training and ensuring employees feel supported with reasonable expectations around office attendance and manageable workloads.”

A 2023 Pew Research study found that 56 percent of US workers were opposed to the use of AI to keep track of when employees were at their desks, and 61 percent were against tracking employees’ movements while they work.

This dropped to just 51 percent of workers who were opposed to recording work done on company computers, through the use of a kind of corporate “spyware” often accepted by staff in the private sector. As Josh Bersin puts it, “Yes, the company can read your emails” with platforms such as Teramind, even including “sentiment analysis” of employee messages.

Snooping on files, emails, and digital chats takes on new significance when it comes to government workers, though. New reporting from WIRED, based on conversations with employees at 13 federal agencies, reveals the extent to Elon Musk’s DOGE team’s surveillance: software including Google’s Gemini AI chatbot, a Dynatrace extension, and security tool Splunk have been added to government computers in recent weeks, and some people have felt they can’t speak freely on recorded and transcribed Microsoft Teams calls. Various agencies already use Everfox software and Dtex’s Intercept system, which generates individual risk scores for workers based on websites and files accessed.

Alongside mass layoffs and furloughs over the past four weeks, the so-called Department of Government Efficiency has also, according to CBS News and NPR reports, gone into multiple agencies in February with the theater and bombast of full X-ray security screenings replacing entry badges at Washington, DC, headquarters. That’s alongside managers telling staff that their logging in and out of devices, swiping in and out of workspaces, and all of their digital work chats will be “closely monitored” going forward.

“Maybe they’re trying to make a big deal out of it to scare people right now,” says Bersin. “The federal government is using back-to-work as an excuse to lay off a bunch of people.”

DOGE staff have reportedly even added keylogger software to government computers to track everything employees type, with staff concerned that anyone using keywords related to progressive thinking or "disloyalty” to Trump could be targeted—not to mention the security risks it introduces for those working on sensitive projects. As one worker told NPR, it feels “Soviet-style” and “Orwellian” with “nonstop monitoring.” Anderson describes the overall DOGE playbook as a series of “deeply intrusive invasions of privacy.”

Alternate Realities

But what protections are out there for employees? Certain states, such as New York and Illinois, do offer strong privacy protections against, for example, unnecessary biometric tracking in the private sector, and California’s Consumer Privacy Act covers workers as well as consumers. Overall, though, the lack of federal-level labor law in this area makes the US something of an alternate reality to what is legal in the UK and Europe.

The Electronic Communications Privacy Act in the US allows employee monitoring for legitimate business reasons and with the worker’s consent. In Europe, Algorithm Watch has made country analyses for workplace surveillance in the UK, Italy, Sweden, and Poland. To take one high-profile example of the stark difference: In early 2024, Serco was ordered by the UK's privacy watchdog, the Information Commissioner’s Office (ICO), to stop using face recognition and fingerprint scanning systems, designed by Shopworks, to track the time and attendance of 2,000 staff across 38 leisure centers around the country. This new guidance led to more companies reviewing or cutting the technology altogether, including Virgin Active, which pulled similar biometric employee monitoring systems from 30-plus sites.

Despite a lack of comprehensive privacy rights in the US, though, worker protest, union organizing, and media coverage can provide a firewall against some office surveillance schemes. Unions such as the Service Employees International Union are pushing for laws to protect workers from black-box algorithms dictating the pace of output.

In December, Boeing scrapped a pilot of employee monitoring at offices in Missouri and Washington, which was based on a system of infrared motion sensors and VuSensor cameras installed in ceilings, made by Ohio-based Avuity. The U-turn came after a Boeing employee leaked an internal PowerPoint presentation on the occupancy- and headcount-tracking technology to The Seattle Times. In a matter of weeks, Boeing confirmed that managers would remove all the sensors that had been installed to date.

Under-desk sensors, in particular, have received high-profile backlash, perhaps because they are such an obvious piece of surveillance hardware rather than simply software designed to record work done on company machines. In the fall of 2022, students at Northeastern University hacked and removed under-desk sensors produced by EnOcean, offering “presence detection” and “people counting,” that had been installed in the school’s Interdisciplinary Science & Engineering Complex. The university provost eventually informed students that the department had planned to use the sensors with the Spaceti platform to optimize desk usage.

OccupEye (now owned by FM: Systems), another type of under-desk heat and motion sensor, received a similar reaction from staff at Barclays Bank and The Telegraph newspaper in London, with employees protesting and, in some cases, physically removing the devices that tracked the time they spent away from their desks.

Despite the fallout, Barclays later faced a $1.1 billion fine from the ICO when it was found to have deployed Sapience’s employee monitoring software in its offices, with the ability to single out and track individual employees. Perhaps unsurprisingly in the current climate, that same software company now offers “lightweight device-level technology” to monitor return-to-office policy compliance, with a dashboard breaking employee location down by office versus remote for specific departments and teams.

According to Elizabeth Anderson’s latest book Hijacked, while workplace surveillance culture and the obsession with measuring employee efficiency might feel relatively new, it can actually be traced back to the invention of the “work ethic” by the Puritans in the 16th and 17th centuries.

“They thought you should be working super hard; you shouldn’t be idling around when you should be in work,” she says. “You can see some elements there that can be developed into a pretty hostile stance toward workers. The Puritans were obsessed with not wasting time. It was about gaining assurance of salvation through your behavior. With the Industrial Revolution, the ‘no wasting time’ became a profit-maximizing strategy. Now you’re at work 24/7 because they can get you on email.”

Some key components of the original work ethic, though, have been skewed or lost over time. The Puritans also had strict constraints on what duties employers had toward their workers: paying a living wage and providing safe and healthy working conditions.

“You couldn’t just rule them tyrannically, or so they said. You had to treat them as your fellow Christians, with dignity and respect. In many ways the original work ethic was an ethic which uplifted workers.”

[almondenterprise]

Innovations in Electrical Switchgear: What’s New in 2025?

The electrical switchgear industry is undergoing a dynamic transformation in 2025, fueled by the rapid integration of smart technologies, sustainability goals, and the growing demand for reliable power distribution systems. As a key player in modern infrastructure — whether in industrial plants, commercial facilities, or utilities — switchgear systems are becoming more intelligent, efficient, and future-ready.

At Almond Enterprise, we stay ahead of the curve by adapting to the latest industry innovations. In this blog, we’ll explore the most exciting developments in electrical switchgear in 2025 and what they mean for businesses, contractors, and project engineers.

Rise of Smart Switchgear

Smart switchgear is no longer a futuristic concept — it’s a necessity in 2025. These systems come equipped with:

IoT-based sensors

Real-time data monitoring

Remote diagnostics and control

Predictive maintenance alerts

This technology allows for remote management, helping facility managers reduce downtime, minimize energy losses, and detect issues before they become critical. At Almond Enterprise, we supply and support the integration of smart switchgear systems that align with Industry 4.0 standards.

2. Focus on Eco-Friendly and SF6-Free Alternatives

Traditional switchgear often relies on SF₆ gas for insulation, which is a potent greenhouse gas. In 2025, there’s a significant shift toward sustainable switchgear, including:

Vacuum Interrupter technology

Air-insulated switchgear (AIS)

Eco-efficient gas alternatives like g³ (Green Gas for Grid)

These options help organizations meet green building codes and corporate sustainability goals without compromising on performance.

3. Wireless Monitoring & Cloud Integration

Cloud-based platforms are transforming how switchgear systems are managed. The latest innovation includes:

Wireless communication protocols like LoRaWAN and Zigbee

Cloud dashboards for real-time visualization

Integration with Building Management Systems (BMS)

This connectivity enhances control, ensures quicker fault detection, and enables comprehensive energy analytics for large installations

4. AI and Machine Learning for Predictive Maintenance

Artificial Intelligence is revolutionizing maintenance practices. Switchgear in 2025 uses AI algorithms to:

Predict component failure

Optimize load distribution

Suggest optimal switchgear settings

This reduces unplanned outages, increases safety, and extends equipment life — particularly critical for mission-critical facilities like hospitals and data centers.

5. Enhanced Safety Features and Arc Flash Protection

With increasing focus on workplace safety, modern switchgear includes:

Advanced arc flash mitigation systems

Thermal imaging sensors

Remote racking and switching capabilities

These improvements ensure safer maintenance and operation, protecting personnel from high-voltage hazards.

6. Modular & Scalable Designs

Gone are the days of bulky, rigid designs. In 2025, switchgear units are:

Compact and modular

Easier to install and expand

Customizable based on load requirements

Almond Enterprise supplies modular switchgear tailored to your site’s unique needs, making it ideal for fast-paced infrastructure developments and industrial expansions.

7. Global Standardization and Compliance

As global standards evolve, modern switchgear must meet new IEC and IEEE guidelines. Innovations include:

Improved fault current limiting technologies

Higher voltage and current ratings with compact dimensions

Compliance with ISO 14001 for environmental management

Our team ensures all equipment adheres to the latest international regulations, providing peace of mind for consultants and project managers.

Final Thoughts: The Future is Electric

The switchgear industry in 2025 is smarter, safer, and more sustainable than ever. For companies looking to upgrade or design new power distribution systems, these innovations offer unmatched value.

At Almond Enterprise, we don’t just supply electrical switchgear — we provide expert solutions tailored to tomorrow’s energy challenges. Contact us today to learn how our cutting-edge switchgear offerings can power your future projects.

[ixnai]

Artificial Intelligence is not infallible. Despite its rapid advancements, AI systems often falter in ways that can have profound implications. The crux of the issue lies in the inherent limitations of machine learning algorithms and the data they consume.

AI systems are fundamentally dependent on the quality and scope of their training data. These systems learn patterns and make predictions based on historical data, which can be biased, incomplete, or unrepresentative. This dependency can lead to significant failures when AI is deployed in real-world scenarios. For instance, facial recognition technologies have been criticized for their higher error rates in identifying individuals from minority groups. This is a direct consequence of training datasets that lack diversity, leading to skewed algorithmic outputs.

Moreover, AI’s reliance on statistical correlations rather than causal understanding can result in erroneous conclusions. Machine learning models excel at identifying patterns but lack the ability to comprehend the underlying causal mechanisms. This limitation is particularly evident in healthcare applications, where AI systems might identify correlations between symptoms and diseases without understanding the biological causation, potentially leading to misdiagnoses.

The opacity of AI models, often referred to as the “black box” problem, further exacerbates these issues. Many AI systems, particularly those based on deep learning, operate in ways that are not easily interpretable by humans. This lack of transparency can hinder the identification and correction of errors, making it difficult to trust AI systems in critical applications such as autonomous vehicles or financial decision-making.

Additionally, the deployment of AI can inadvertently perpetuate existing societal biases and inequalities. Algorithms trained on biased data can reinforce and amplify these biases, leading to discriminatory outcomes. For example, AI-driven hiring tools have been shown to favor candidates from certain demographics over others, reflecting the biases present in historical hiring data.

The potential harm caused by AI is not limited to technical failures. The widespread adoption of AI technologies raises ethical concerns about privacy, surveillance, and autonomy. The use of AI in surveillance systems, for instance, poses significant risks to individual privacy and civil liberties. The ability of AI to process vast amounts of data and identify individuals in real-time can lead to intrusive monitoring and control by governments or corporations.

In conclusion, while AI holds immense potential, it is crucial to recognize and address its limitations and the potential harm it can cause. Ensuring the ethical and responsible development and deployment of AI requires a concerted effort to improve data quality, enhance model transparency, and mitigate biases. As we continue to integrate AI into various aspects of society, it is imperative to remain vigilant and critical of its capabilities and impacts.

[pranjj]

Udaan by InAmigos Foundation:  Elevating Women, Empowering Futures

In the rapidly evolving socio-economic landscape of India, millions of women remain underserved by mainstream development efforts—not due to a lack of talent, but a lack of access. In response, Project Udaan, a flagship initiative by the InAmigos Foundation, emerges not merely as a program, but as a model of scalable women's empowerment.

Udaan—meaning “flight” in Hindi—represents the aspirations of rural and semi-urban women striving to break free from intergenerational limitations. By engineering opportunity and integrating sustainable socio-technical models, Udaan transforms potential into productivity and promise into progress.

Mission: Creating the Blueprint for Women’s Self-Reliance

At its core, Project Udaan seeks to:

Empower women with industry-aligned, income-generating skills

Foster micro-entrepreneurship rooted in local demand and resources

Facilitate financial and digital inclusion

Strengthen leadership, health, and rights-based awareness

Embed resilience through holistic community engagement

Each intervention is data-informed, impact-monitored, and custom-built for long-term sustainability—a hallmark of InAmigos Foundation’s field-tested grassroots methodology.

A Multi-Layered Model for Empowerment

Project Udaan is built upon a structured architecture that integrates training, enterprise, and technology to ensure sustainable outcomes. This model moves beyond skill development into livelihood generation and measurable socio-economic change.

1. Skill Development Infrastructure

The first layer of Udaan is a robust skill development framework that delivers localized, employment-focused education. Training modules are modular, scalable, and aligned with the socio-economic profiles of the target communities.

Core domains include:

Digital Literacy: Basic computing, mobile internet use, app navigation, and digital payment systems

Tailoring and Textile Production: Pattern making, machine stitching, finishing techniques, and indigenous craft techniques

Food Processing and Packaging: Pickle-making, spice grinding, home-based snack units, sustainable packaging

Salon and Beauty Skills: Basic grooming, hygiene standards, customer interaction, and hygiene protocols

Financial Literacy and Budgeting: Saving schemes, credit access, banking interfaces, micro-investments

Communication and Self-Presentation: Workplace confidence, customer handling, local language fluency

2. Microenterprise Enablement and Livelihood Incubation

To ensure that learning transitions into economic self-reliance, Udaan incorporates a post-training enterprise enablement process. It identifies local market demand and builds backward linkages to equip women to launch sustainable businesses.

The support ecosystem includes:

Access to seed capital via self-help group (SHG) networks, microfinance partners, and NGO grants

Distribution of startup kits such as sewing machines, kitchen equipment, or salon tools

Digital onboarding support for online marketplaces such as Amazon Saheli, Flipkart Samarth, and Meesho

Offline retail support through tie-ups with local haats, trade exhibitions, and cooperative stores

Licensing and certification where applicable for food safety or textile quality standards

3. Tech-Driven Monitoring and Impact Tracking

Transparency and precision are fundamental to Udaan’s growth. InAmigos Foundation employs its in-house Tech4Change platform to manage operations, monitor performance, and scale the intervention scientifically.

The platform allows:

Real-time monitoring of attendance, skill mastery, and certification via QR codes and mobile tracking

Impact evaluation using household income change, asset ownership, and healthcare uptake metrics

GIS-based mapping of intervention zones and visualization of under-reached areas

Predictive modeling through AI to identify at-risk participants and suggest personalized intervention strategies

 

Human-Centered, Community-Rooted

Empowerment is not merely a process of economic inclusion—it is a cultural and psychological shift. Project Udaan incorporates gender-sensitive design and community-first outreach to create lasting change.

Key interventions include:

Strengthening of SHG structures and women-led federations to serve as peer mentors

Family sensitization programs targeting male allies—fathers, husbands, brothers—to reduce resistance and build trust

Legal and rights-based awareness campaigns focused on menstrual hygiene, reproductive health, domestic violence laws, and maternal care

Measured Impact and Proven Scalability

Project Udaan has consistently delivered quantifiable outcomes at the grassroots level. As of the latest cycle:

Over 900 women have completed intensive training programs across 60 villages and 4 districts

Nearly 70 percent of participating women reported an average income increase of 30 to 60 percent within 9 months of program completion

420+ micro-enterprises have been launched, 180 of which are now self-sustaining and generating employment for others

More than 5,000 indirect beneficiaries—including children, elderly dependents, and second-generation SHG members—have experienced improved access to nutrition, education, and mobility

Over 20 institutional partnerships and corporate CSR collaborations have supported infrastructure, curriculum design, and digital enablement.

Partnership Opportunities: Driving Collective Impact

The InAmigos Foundation invites corporations, philanthropic institutions, and ecosystem enablers to co-create impact through structured partnerships.

Opportunities include:

Funding the establishment of skill hubs in high-need regions

Supporting enterprise starter kits and training batches through CSR allocations

Mentoring women entrepreneurs via employee volunteering and capacity-building workshops

Co-hosting exhibitions, market linkages, and rural entrepreneurship fairs

Enabling long-term research and impact analytics for policy influence

These partnerships offer direct ESG alignment, brand elevation, and access to inclusive value chains while contributing to a model that demonstrably works.

What Makes Project Udaan Unique?

Unlike one-size-fits-all skilling programs, Project Udaan is rooted in real-world constraints and community aspirations. It succeeds because it combines:

Skill training aligned with current and emerging market demand

Income-first design that integrates microenterprise creation and financial access

Localized community ownership that ensures sustainability and adoption

Tech-enabled operations that ensure transparency and iterative learning

Holistic empowerment encompassing economic, social, and psychological dimensions

By balancing professional training with emotional transformation and economic opportunity, Udaan represents a new blueprint for inclusive growth.

 From Promise to Power

Project Udaan, driven by the InAmigos Foundation, proves that when equipped with tools, trust, and training, rural and semi-urban women are capable of becoming not just contributors, but catalysts for socio-economic renewal.

They don’t merely escape poverty—they design their own systems of progress. They don’t just participate—they lead.

Each sewing machine, digital training module, or microloan is not a transaction—it is a declaration of possibility.

This is not charity. This is infrastructure. This is equity, by design.

Udaan is not just a program. It is a platform for a new India.

For partnership inquiries, CSR collaborations, and donation pathways, contact: www.inamigosfoundation.org/Udaan Email: partnerships@inamigosfoundation.org

[ghibligrrrl]

👤Psycho-Pass👤

Ep. 1, 3, 4, & 5

Psycho-Pass is an anime that touches on many themes relevant to our current social climate and digital landscape. The story, which centers on law enforcement in a society of hyper-surveillance, touches on ideas of privacy, dehumanization, isolation, parasocial relationships, and simulation. In conjunction with this anime, we were asked to read Foucault's "Panopticism" and Drew Harwell's 2019 Washington Post article "Colleges are turning students’ phones into surveillance machines, tracking the locations of hundreds of thousands." I think these choices expanded my understanding of the show and were extremely eye opening when applied to our current culture.

Using the language of Foucault, the Sibyl system acts as a constant "supervisor" monitoring the emotional states of every citizen through a psycho-pass that gives a biometric reading of an individual's brain revealing a specific hue and crime score which can relay how likely a person is to commit a crime or act violently. The brain, formerly the one place safe from surveillance, is now on display 24/7, creating a true panoptic effect. In this future dystopian Japan, criminals are dehumanized and some, called enforcers, are used as tools to apprehend other criminals. They are constantly compared to dogs, and inspectors are warned not to get too emotionally invested or close to them to avoid increasing their own crime scores. The show constantly shows criminals as being lost causes, and even victims are cruelly given up on if the stress of the crimes against them increased their own crime score too much. This concept is shown in episode 1 and I think it is meant to present Sibyl as an inherently flawed system from the start.

I think that the Washington Post article was extremely relevant to this anime, and even to my own life as a college student. Harwell writes that oftentimes monitoring begins with good intentions like preventing crime (as in Psycho-Pass) or identifying mental health issues. Universities across the US have started implementing mobile tracking software to monitor where students are, what areas they frequent, and whether or not they come to class. The developer of this software stated that algorithms can generate a risk score based on student location data to flag students who may be struggling with mental health issues. While this sounds helpful in theory, I can't help but notice how eerily similar this software is to the Sybil system. Even high school students are sounding alarm bells after being subjected to increased surveillance in the interest of safety. In another of Harwell's articles published the same year, "Parkland school turns to experimental surveillance software that can flag students as threats," a student raised concerns about the technology's potential for being abused by law enforcement stating, "my fear is that this will become targeted." After beginning Psycho-Pass, I honestly couldn't agree more. Supporters of AI surveillance systems argue that its just another tool for law enforcement and that it's ultimately up to humans to make the right call, but in ep. 1 of Psycho-Pass, we saw just how easy it was for law enforcement to consider taking an innocent woman's life just because the algorithm determined that her crime score increased past the acceptable threshold. And there are plenty of real-world examples of law enforcement making the wrong decisions in high-stress situations. AI has the potential to make more people the targets of police violence either through technical error or built-in bias. As former Purdue University president Mitch Daniels stated in his op-ed "Someone is watching you," we have to ask ourselves "wether our good intentions are carrying us past boundaries where privacy and individual autonomy should still prevail."

I'm interested to see what the next episodes have in store. This is a series that I will probably continue watching outside of class. Finally some good f-ing food.

[spacetimewithstuartgary]

New diagnostic tool will help LIGO hunt gravitational waves

Machine learning tool developed by UCR researchers will help answer fundamental questions about the universe.

Finding patterns and reducing noise in large, complex datasets generated by the gravitational wave-detecting LIGO facility just got easier, thanks to the work of scientists at the University of California, Riverside. 

The UCR researchers presented a paper at a recent IEEE big-data workshop, demonstrating a new, unsupervised machine learning approach to find new patterns in the auxiliary channel data of the Laser Interferometer Gravitational-Wave Observatory, or LIGO. The technology is also potentially applicable to large scale particle accelerator experiments and large complex industrial systems.

LIGO is a facility that detects gravitational waves — transient disturbances in the fabric of spacetime itself, generated by the acceleration of massive bodies. It was the first to detect such waves from merging black holes, confirming a key part of Einstein’s Theory of Relativity. LIGO has two widely-separated 4-km-long interferometers — in Hanford, Washington, and Livingston, Louisiana — that work together to detect gravitational waves by employing high-power laser beams. The discoveries these detectors make offer a new way to observe the universe and address questions about the nature of black holes, cosmology, and the densest states of matter in the universe.

Each of the two LIGO detectors records thousands of data streams, or channels, which make up the output of environmental sensors located at the detector sites. 

“The machine learning approach we developed in close collaboration with LIGO commissioners and stakeholders identifies patterns in data entirely on its own,” said Jonathan Richardson, an assistant professor of physics and astronomy who leads the UCR LIGO group. “We find that it recovers the environmental ‘states’ known to the operators at the LIGO detector sites extremely well, with no human input at all. This opens the door to a powerful new experimental tool we can use to help localize noise couplings and directly guide future improvements to the detectors.”

Richardson explained that the LIGO detectors are extremely sensitive to any type of external disturbance. Ground motion and any type of vibrational motion — from the wind to ocean waves striking the coast of Greenland or the Pacific — can affect the sensitivity of the experiment and the data quality, resulting in “glitches” or periods of increased noise bursts, he said. 

“Monitoring the environmental conditions is continuously done at the sites,” he said. “LIGO has more than 100,000 auxiliary channels with seismometers and accelerometers sensing the environment where the interferometers are located. The tool we developed can identify different environmental states of interest, such as earthquakes, microseisms, and anthropogenic noise, across a number of carefully selected and curated sensing channels.”

Vagelis Papalexakis, an associate professor of computer science and engineering who holds the Ross Family Chair in Computer Science, presented the team’s paper, titled “Multivariate Time Series Clustering for Environmental State Characterization of Ground-Based Gravitational-Wave Detectors,” at the IEEE's 5th International Workshop on Big Data & AI Tools, Models, and Use Cases for Innovative Scientific Discovery that took place last month in Washington, D.C.

“The way our machine learning approach works is that we take a model tasked with identifying patterns in a dataset and we let the model find patterns on its own,” Papalexakis said. “The tool was able to identify the same patterns that very closely correspond to the physically meaningful environmental states that are already known to human operators and commissioners at the LIGO sites.”

Papalexakis added that the team had worked with the LIGO Scientific Collaboration to secure the release of a very large dataset that pertains to the analysis reported in the research paper. This data release allows the research community to not only validate the team’s results but also develop new algorithms that seek to identify patterns in the data.

“We have identified a fascinating link between external environmental noise and the presence of certain types of glitches that corrupt the quality of the data,” Papalexakis said. “This discovery has the potential to help eliminate or prevent the occurrence of such noise.”

The team organized and worked through all the LIGO channels for about a year. Richardson noted that the data release was a major undertaking. 

“Our team spearheaded this release on behalf of the whole LIGO Scientific Collaboration, which has about 3,200 members,” he said. “This is the first of these particular types of datasets and we think it’s going to have a large impact in the machine learning and the computer science community.”

Richardson explained that the tool the team developed can take information from signals from numerous heterogeneous sensors that are measuring different disturbances around the LIGO sites. The tool can distill the information into a single state, he said, that can then be used to search for time series associations of when noise problems occurred in the LIGO detectors and correlate them with the sites’ environmental states at those times.

“If you can identify the patterns, you can make physical changes to the detector — replace components, for example,” he said. “The hope is that our tool can shed light on physical noise coupling pathways that allow for actionable experimental changes to be made to the LIGO detectors. Our long-term goal is for this tool to be used to detect new associations and new forms of environmental states associated with unknown noise problems in the interferometers.”

Pooyan Goodarzi, a doctoral student working with Richardson and a coauthor on the paper, emphasized the importance of releasing the dataset publicly. 

“Typically, such data tend to be proprietary,” he said. “We managed, nonetheless, to release a large-scale dataset that we hope results in more interdisciplinary research in data science and machine learning.”

The team’s research was supported by a grant from the National Science Foundation awarded through a special program, Advancing Discovery with AI-Powered Tools, focused on applying artificial intelligence/machine learning to address problems in the physical sciences. 

[technicallylovingcomputer]

How to create Dynamic and Adaptive AI for Mobile Games

In the competitive world of mobile gaming, creating an experience that keeps players coming back requires more than just stunning graphics and intuitive controls. Today's gamers demand intelligent, responsive opponents and allies that adapt to their play style and provide consistent challenges. Let's dive into how dynamic and adaptive AI can transform your mobile game development process and create more engaging experiences for your players.

Why AI Matters in Mobile Game Development

When we talk about mobile games, we're dealing with a unique set of constraints and opportunities. Players engage in shorter sessions, often in distracting environments, and expect experiences that can be both casual and deeply engaging. Traditional scripted behaviors simply don't cut it anymore.

Dynamic AI systems that learn and evolve provide several key benefits:

They create unpredictable experiences that increase replayability

They adjust difficulty in real-time to maintain the perfect challenge level

They create the illusion of intelligence without requiring massive computational resources

They help personalize the gaming experience for each player

Building Blocks of Adaptive Game AI

Behavior Trees and Decision Making

At the foundation of most game AI systems are behavior trees - hierarchical structures that organize decision-making processes. For mobile games, lightweight behavior trees can be incredibly effective. They allow NPCs (non-player characters) to evaluate situations and select appropriate responses based on current game states.

The beauty of behavior trees in mobile development is that they're relatively simple to implement and don't require excessive processing power. A well-designed behavior tree can give the impression of complex decision-making while actually running efficiently on limited mobile hardware.

Machine Learning for Pattern Recognition

While traditional AI techniques still dominate mobile game development, machine learning is making inroads where appropriate. Simple ML models can be trained to recognize player patterns and adapt accordingly:

"We implemented a basic ML model that tracks how aggressive players are during combat sequences," says indie developer Sarah Chen. "What surprised us was how little data we needed to create meaningful adaptations. Even with just a few gameplay sessions, our enemies began responding differently to cautious versus aggressive players."

For mobile games, the key is implementing lightweight ML solutions that don't drain battery or require constant server connections.

Dynamic Difficulty Adjustment

Perhaps the most immediately valuable application of adaptive AI is in difficulty balancing. Games that are too easy become boring; games that are too hard lead to frustration and abandonment.

By monitoring player success rates, completion times, and even physiological indicators like input force or timing patterns, games can subtly adjust challenge levels. For example:

If a player fails a level multiple times, enemy spawn rates might decrease slightly

If a player breezes through challenges, puzzle complexity might increase

If a player shows mastery of one game mechanic, the AI can introduce variations that require new strategies

The trick is making these adjustments invisible to the player. Nobody wants to feel like the game is "letting them win," but everyone appreciates a well-balanced challenge.

Implementation Strategies for Mobile Platforms

Distributed Computing Approaches

Mobile devices have limits, but that doesn't mean your AI needs to be simple. Consider a hybrid approach:

Handle immediate reactions and simple behaviors on-device

Offload more complex learning and adaptation to occasional server communications

Update AI behavior parameters during normal content updates

This approach keeps gameplay smooth while still allowing for sophisticated adaptation over time.

Optimizing for Battery and Performance

When designing AI systems for mobile games, efficiency isn't optional - it's essential. Some practical tips:

Limit AI updates to fixed intervals rather than every frame

Use approximation algorithms when exact calculations aren't necessary

Consider "fake" AI that gives the impression of intelligence through clever design rather than complex computations

Batch AI calculations during loading screens or other natural pauses

"Our most sophisticated enemy AI actually uses less processing power than our earliest attempts," notes mobile game developer Marcus Kim. "We realized that perceived intelligence matters more than actual computational complexity."

Case Studies: Adaptive AI Success Stories

Roguelike Mobile Games

Games like "Dead Cells Mobile" and "Slay the Spire" have shown how procedural generation paired with adaptive difficulty can create nearly infinite replayability. These games analyze player performance and subtly adjust enemy compositions, item drops, and challenge levels to maintain engagement.

Casual Puzzle Games

Even simple puzzle games benefit from adaptive AI. Games like "Two Dots" adapt difficulty curves based on player performance, ensuring that casual players aren't frustrated while still challenging veterans.

Ethical Considerations in Game AI

As we develop more sophisticated AI systems, ethical questions emerge:

How transparent should we be about adaptation mechanisms?

Is it fair to create different experiences for different players?

How do we ensure AI systems don't manipulate vulnerable players?

The mobile game community is still working through these questions, but most developers agree that the player experience should come first, with adaptations designed to maximize enjoyment rather than exploitation.

Looking Forward: The Future of Mobile Game AI

As mobile devices continue to become more powerful, the possibilities for on-device AI expand dramatically. We're already seeing games that incorporate:

Natural language processing for more realistic NPC interactions

Computer vision techniques for AR games that understand the player's environment

Transfer learning that allows AI behaviors to evolve across multiple play sessions

The most exciting developments may come from combining these approaches with traditional game design wisdom.

Getting Started with Adaptive AI

If you're new to implementing adaptive AI in your mobile games, start small:

Identify one aspect of your game that could benefit from adaptation (enemy difficulty, resource scarcity, puzzle complexity)

Implement simple tracking of relevant player metrics

Create modest adjustments based on those metrics

Test extensively with different player types

Iterate based on player feedback

Remember that the goal isn't to create the most technically impressive AI system, but to enhance player experience through thoughtful adaptation.

Conclusion

Dynamic and adaptive AI represents one of the most exciting frontiers in mobile game development. By creating opponents and systems that respond intelligently to player behavior, we can deliver more engaging, personalized experiences that keep players coming back. Whether you're developing a casual puzzle game or an ambitious mobile RPG, incorporating adaptive elements can elevate your game to new heights of player satisfaction.

The most successful mobile games of tomorrow won't just have the flashiest graphics or the most innovative mechanics – they'll be the ones that seem to understand their players, providing just the right challenge at just the right moment through intelligent, adaptive AI systems.

[web-to-print-industry]

How Artificial Intelligence is Transforming the Printing Industry

The printing industry is undergoing a significant transformation, thanks to the integration of artificial intelligence (AI). From automating production workflows to enhancing customer experiences, AI is helping businesses streamline operations, reduce costs, and improve efficiency. By leveraging print management software and online product designer tools, print businesses can now offer faster, more precise, and highly customized solutions.

1. AI-Driven Automation in Print Production

AI is revolutionizing the way printing businesses manage their workflows. With print management software, AI can analyze order patterns, optimize print scheduling, and reduce waste, making production processes more efficient. Automated quality control systems powered by AI can also detect errors in print files before production, ensuring high-quality output with minimal human intervention.

2. Enhancing Customer Experience with AI

Customers today expect fast, seamless, and personalized services. AI-powered chatbots and virtual assistants help printing businesses provide instant support, answering customer queries and guiding them through the ordering process. Additionally, AI-driven recommendation systems suggest the best print options based on customer preferences, improving user engagement and satisfaction.

3. Smarter Design Capabilities with AI

The integration of AI with an online product designer enables users to create stunning, print-ready designs with ease. AI can assist in:

Auto-generating design templates based on user input.

Providing real-time design feedback and error detection.

Offering intelligent color-matching and font-pairing suggestions. This ensures that even users with minimal design experience can create professional-quality prints effortlessly.

4. AI-Powered Print Marketing and Personalization

AI is enhancing print marketing by enabling hyper-personalization. Businesses can use AI to analyze customer behavior and create targeted print materials, such as direct mail campaigns customized to individual preferences. Variable data printing (VDP), combined with AI, allows businesses to produce personalized brochures, flyers, and packaging that appeal to specific audiences.

5. Predictive Maintenance for Printing Equipment

One of the biggest challenges in the printing industry is machine downtime. AI-powered predictive maintenance in print management software helps monitor the health of printing equipment, identifying potential failures before they occur. This reduces unexpected breakdowns, increases machine lifespan, and improves overall efficiency.

6. AI in Supply Chain and Inventory Management

AI-driven analytics help printing businesses optimize their supply chain by forecasting demand, tracking inventory levels, and preventing stock shortages or overproduction. This level of automation ensures smooth order fulfillment and cost savings in material procurement.

7. The Future of AI in Printing

As AI technology continues to advance, its impact on the printing industry will only grow. From real-time production monitoring to AI-powered creative tools, the future of printing will be faster, smarter, and more customer-centric. Businesses that embrace AI-driven print management software and online product designer solutions will have a competitive edge in delivering high-quality, customized printing services.

Conclusion

The integration of artificial intelligence in the printing industry is not just a trend but a game-changer. By incorporating AI-powered print management software and intuitive online product designer tools, businesses can achieve higher efficiency, reduce costs, and enhance customer satisfaction. The future of printing is smart, and AI is leading the way toward a more innovative and automated industry.

[nunuslab24]

What are AI, AGI, and ASI? And the positive impact of AI

Understanding artificial intelligence (AI) involves more than just recognizing lines of code or scripts; it encompasses developing algorithms and models capable of learning from data and making predictions or decisions based on what they’ve learned. To truly grasp the distinctions between the different types of AI, we must look at their capabilities and potential impact on society.

To simplify, we can categorize these types of AI by assigning a power level from 1 to 3, with 1 being the least powerful and 3 being the most powerful. Let’s explore these categories:

1. Artificial Narrow Intelligence (ANI)

Also known as Narrow AI or Weak AI, ANI is the most common form of AI we encounter today. It is designed to perform a specific task or a narrow range of tasks. Examples include virtual assistants like Siri and Alexa, recommendation systems on Netflix, and image recognition software. ANI operates under a limited set of constraints and can’t perform tasks outside its specific domain. Despite its limitations, ANI has proven to be incredibly useful in automating repetitive tasks, providing insights through data analysis, and enhancing user experiences across various applications.

2. Artificial General Intelligence (AGI)

Referred to as Strong AI, AGI represents the next level of AI development. Unlike ANI, AGI can understand, learn, and apply knowledge across a wide range of tasks, similar to human intelligence. It can reason, plan, solve problems, think abstractly, and learn from experiences. While AGI remains a theoretical concept as of now, achieving it would mean creating machines capable of performing any intellectual task that a human can. This breakthrough could revolutionize numerous fields, including healthcare, education, and science, by providing more adaptive and comprehensive solutions.

3. Artificial Super Intelligence (ASI)

ASI surpasses human intelligence and capabilities in all aspects. It represents a level of intelligence far beyond our current understanding, where machines could outthink, outperform, and outmaneuver humans. ASI could lead to unprecedented advancements in technology and society. However, it also raises significant ethical and safety concerns. Ensuring ASI is developed and used responsibly is crucial to preventing unintended consequences that could arise from such a powerful form of intelligence.

The Positive Impact of AI

When regulated and guided by ethical principles, AI has the potential to benefit humanity significantly. Here are a few ways AI can help us become better:

• Healthcare: AI can assist in diagnosing diseases, personalizing treatment plans, and even predicting health issues before they become severe. This can lead to improved patient outcomes and more efficient healthcare systems.

• Education: Personalized learning experiences powered by AI can cater to individual student needs, helping them learn at their own pace and in ways that suit their unique styles.

• Environment: AI can play a crucial role in monitoring and managing environmental changes, optimizing energy use, and developing sustainable practices to combat climate change.

• Economy: AI can drive innovation, create new industries, and enhance productivity by automating mundane tasks and providing data-driven insights for better decision-making.

In conclusion, while AI, AGI, and ASI represent different levels of technological advancement, their potential to transform our world is immense. By understanding their distinctions and ensuring proper regulation, we can harness the power of AI to create a brighter future for all.