#machine vision applications

[intsofttech]

The slightest surface defects are detected

[futuretiative]

Tom and Robotic Mouse | @futuretiative

Tom's job security takes a hit with the arrival of a new, robotic mouse catcher.

TomAndJerry #AIJobLoss #CartoonHumor #ClassicAnimation #RobotMouse #ArtificialIntelligence #CatAndMouse #TechTakesOver #FunnyCartoons #TomTheCat

Keywords: Tom and Jerry, cartoon, animation, cat, mouse, robot, artificial intelligence, job loss, humor, classic, Machine Learning Deep Learning Natural Language Processing (NLP) Generative AI AI Chatbots AI Ethics Computer Vision Robotics AI Applications Neural Networks

Tom was the first guy who lost his job because of AI

(and what you can do instead)

⤵

"AI took my job" isn't a story anymore.

It's reality.

But here's the plot twist:

While Tom was complaining,

others were adapting.

The math is simple:

➝ AI isn't slowing down

➝ Skills gap is widening

➝ Opportunities are multiplying

Here's the truth:

The future doesn't care about your comfort zone.

It rewards those who embrace change and innovate.

Stop viewing AI as your replacement.

Start seeing it as your rocket fuel.

Because in 2025:

➝ Learners will lead

➝ Adapters will advance

➝ Complainers will vanish

The choice?

It's always been yours.

It goes even further - now AI has been trained to create consistent.

//

Repost this ⇄

//

Follow me for daily posts on emerging tech and growth

[thedevmaster-tdm]

STOP Using Fake Human Faces in AI

[kpissolution]

𝐀𝐑𝐓𝐈𝐅𝐈𝐂𝐈𝐀𝐋 𝐈𝐍𝐓𝐄𝐋𝐋𝐈𝐆𝐄𝐍𝐂𝐄 is rapidly developing and playing an essential role in business intelligence (BI) and analytics in today’s data-driven business prospect. With advanced capabilities in data collection, analysis, and decision-making, #ai has the potential to transform how businesses approach data-driven strategies.

𝐀𝐈 𝐀𝐏𝐏 𝐃𝐄𝐕𝐄𝐋𝐎𝐏𝐌𝐄𝐍𝐓 𝐒𝐄𝐑𝐕𝐈𝐂𝐄𝐒 are valuable in different industries, including #healthcare, #finance, #ecommerce, #manufacturing, transport, #customerservice, #marketing, #cybersecurity, and many more. With AI-driven applications, businesses can streamline operations, enhance productivity, and provoke growth.

𝐎𝐔𝐑 𝐀𝐑𝐓𝐈𝐅𝐈𝐂𝐈𝐀𝐋 𝐈𝐍𝐓𝐄𝐋𝐋𝐈𝐆𝐄𝐍𝐂𝐄 𝐒𝐄𝐑𝐕𝐈𝐂𝐄𝐒: 🔻 Deep Learning 🔺 Computer Vision 🔻 Machine Learning 🔺 Predictive Analytics 🔻 Custom AI Solutions 🔺 AI Conversational Tools 🔻 Natural Language Processing

Our team develops digital artificial intelligence (AI) solutions from the ground up or incorporates them into existing business systems using predictive analytics tools. We transform legacy and extensive data into reusable datasets for multi-label category, regression, and gathering before deploying the prototypes. With our AI development services, you can combine Artificial Intelligence into your existing products to speed up the decision-making technique.

Would you like to understand how #kpis helps you to achieve your AI visions? Contact us today to understand more about 𝐀𝐈 𝐃𝐄𝐕𝐄𝐋𝐎𝐏𝐌𝐄𝐍𝐓 𝐒𝐄𝐑𝐕𝐈𝐂𝐄𝐒, and let us be your partner in optimising operational effectiveness and improving customer experience.

🔊𝐆𝐞𝐭 𝐢𝐧 𝐓𝐨𝐮𝐜𝐡 𝐖𝐢𝐭𝐡 𝐔𝐬🔊 ➖➖➖➖➖➖➖➖ 🌐 𝐕𝐢𝐬𝐢𝐭: https://www.kpis.in/ai-development-company 📧 𝐄𝐦𝐚𝐢𝐥: info@kpis.in 📞 𝐂𝐨𝐧𝐭𝐚𝐜𝐭: +91-6350359218 ➖➖➖➖➖➖➖➖

[kbvresearch]

AI Sensors and Robotics: The Synergy of Automation

Artificial Intelligence (AI) Sensor technology is poised to transform the way we perceive and interact with the world around us. These intelligent sensors are ushering in a new era of automation, data-driven decision-making, and enhanced connectivity. In this blog, we will explore the incredible potential of AI sensors, their applications across various industries, and the challenges and…

[blood-orange-juice]

I swear, Dottore was written by a former STEM graduate. People don't normally write mad scientists this way.

Whenever I try to dig into deep lore, his research repeatedly turns out to be among the most useful data I have.

I know a good project when I see one. I've been on both sides of the academic hiring process, I've written grant proposals and I've reviewed them and I've seen better scientists than me discuss them, so please understand how much weight I put into this: these are very good projects.

(except for, you know, ethics)

His research topics seem random but he actually pokes at the most fundamental questions of Teyvat with each one.

His Eleazar studies dig at the relationship between forbidden knowledge and dead gods (surprise: these are different things. I might have lumped them together if not for his notes).

Cloning himself pokes at the difference between machine and man, and also it's the technology of Eclipse Dynasty, Teyvat's main historical enigma. Have you ever wondered whether all ruin guards were men once? Or why did Khaenri'ahns switch from alchemy to ruin machines so abruptly? Or why they were cursed.

(I have a suspicion it also pokes at the nature of time and stories, the way he talks about a need for an ideal observer, and also the way Khaenri'ahn history went)

Delusions answer the question of why does Teyvat need Archons for Visions to appear and for humans to be able to use elemental magic. We don't know the answer but Dottore does.

I'm eyeing his artificial god because I don't think that what we saw in Sumeru was the final project. He seemed so nonchalant when it failed.

This is theoretical science at its finest. As a cherry on top, every project also yields practically applicable results.

He's a dream of every grant commitee.

[tj-dragonblade]

Dreamling Fic Masterpost (2025 June 8)

Yesterday was Dreamling day, which means it's been just over a year since my last masterpost, so now's as good a time as any to update. Links go to Tumblr posts, and each Tumblr fic post has the direct AO3 link as well.

You can also find me HERE on AO3.

(Cut for length so it's not ridiculous when pinned)

📚 SERIES 📚

🛳️ Cruise Ship Boys 🛳️ (Human AU) 1. Caribbean Sunset 🌶️ Rated E, ~5500 words Hob hooks up with a beautiful stranger on a Caribbean cruise 2. London Fog 🌦️ Rated T, ~3500 words Dream does his best to ignore Possibilities while he copes with returning from holiday

⚔️ Appropriate Applications for Aesthetic Armors⚔️ 1. Anticipation Rated T, ~700 words Dream chooses Hob’s Halloween costume (spoiler alert: it's the Wavemother's robe from BG3) 2. Appreciation 🌶️ Rated E, ~4300 words Hob wears the costume; Dream has his fun. 3. Adoration 🌶️ Rated E, ~9500 words Dream's fantasy of publicly claiming Hob in the middle of the New Inn is played out with a very enthusiastic Hob in his dream, as offered.

☂️ The Umbrella Boys ☂️ (Human AU) 1. A Sweet Romance Beginning in a Queue Rated T, ~4500 words 🎶Bus stop, wet day, he’s there, I say, ‘Please share my umbrella’🎶 2. Love Rain Down On Me Rated M, ~2300 words 5 times those Three Little Words go unspoken, and one time they do not. 3. Weekend Arts and Crafts Rated G, ~1600 words Hob and Dream go on a date; Dream gets to meet one of Hob's friends

🔧 Turbo Lover 🔧 (Human AU) 1. Customer Service 🌶️ Rated E, ~4500 words Mechanic Hob's just trying to fix the rich guy's Porsche but the rich guy is looking at Hob like he's a five-course meal 2. With Every Nerve Alive 🌶️ Rated E, ~4600 words Dream Atelíotes is merely seeking car repairs from a reputable shop; he was not expecting to get punched in the libido by the most beautiful mechanic he could have imagined. 3. Loyalty Rewards Program 🌶️ Rated E, ~9200 words Dream comes back to Matthew's Motor Repairs the next day and Hob gives him everything he asks for 4. Shift to Overdrive 🌶️ Rated E, ~2000 words His beautiful mechanic in a bespoke suit is a tempting vision indeed and Dream is impatient on the limo ride home 5. Love Machines in Harmony 🌶️ Rated E, ~5200 words Passions are running high after the limo ride home, and the drawing room is closer than the bedroom 6. Without Warning Something's Dawning (Listen) Rated G, ~650 words Dream wanders through his thoughts about Hob 7. You'll Know You're Defenseless Rated G, ~1050 words Mechanic Hob might. Possibly. Be pining. Just a little bit.

🌊 Sea Stranger 🌊 (Mer-Hob AU) 1. Telling Tails Rated G, ~3700 words On a university-sponsored research trip in Australia, marine biologist Dream discovers a new form of sea life that he was not expecting 2. Good Luck Charm Rated G, ~3000 words When Dream's merman friend is late to their usual meeting, Dream is worried. And with good reason, as it turns out.

📖 ONE-SHOTS 📖

Use Your Words Rated T, ~2500 words Hob finds mistletoe hung in the bar. Dream is. Insistent. That they adhere to tradition.

Old Acquaintance Rated G, ~800 words It’s New Year’s Eve at the New Inn, and Dream and Hob are on the same page

Fluffbruary 2023 Prompt: velvet Rated G, 165 words One of Hob's favorite things about Dream

Fluffbruary 2023 Prompt: memory Rated G, ~230 words Dream is distracted by a memory

Fluffbruary 2023 Prompt: thread Rated G, ~200 words Hob loves his grey hair

Fluffbruary 2023 Prompt: daydream Rated T, ~800 words Hob's daydreams are not the only distracting ones

Fluffbruary 2023 Prompt: enthusiasm Rated G, ~200 words Enthusiasm is one of Hob's defining traits

Fluffbruary 2023 Prompt: trust Rated T, ~1500 words Dream finds Hob cooking for him (aka The Spicy Omelettes one)

Fluffbruary 2023 Prompt: grass Rated G, ~330 words A date in Fiddler's Green

Fluffbruary 2023 Prompt: fireplace Rated G, ~170 words Generic hearth metaphor

Fluffbruary 2023 Prompt: strong Rated T, ~3400 words Dream helps a drunken Hob get home (aka The Drunken Confessions one)

Fluffbruary 2023 Prompt: teach Rated T, ~520 words Dream teaches Hob how to summon him; self-immolation discouraged

Fluffbruary 2023 Prompt: vague 🌶️ Rated M, 465 words Sometimes Dream speaks vaguely. Sometimes he is Very Direct

Fluffbruary 2023 Prompt: glasses Rated T, ~330 words Sometimes, Hob wears glasses

Fluffbruary 2023 Prompt: yesterday Rated G, ~470 words Time works different in the Dreaming

Fluffbruary 2023 Prompt: recovery 🌦️ Rated T, ~2900 words Dream is dating; Hob works hard to just be a good friend while watching it fall apart (aka The Thessaly Breakup fic)

Fluffbruary 2023 Prompt: snack 🌶️ Rated E, ~1800 words Hob comes home to find Dream waiting from him in the traditional murder-widow robe

Fluffbruary 2023 Prompt: friend Rated T, ~1800 words Dream contemplates friendship, Hob, and the blurring of boundaries

In the Morning Light Rated T, ~1960 words Dream visits Hob on a rainy morning

Built For You 🌶️ Rated E, ~800 words Hob questions Dream on some particulars of his waking world anatomy

Insatiable 🌶️ Rated E, ~3100 words Dream gets rimmed and railed within an inch of his life

Of Cutoff Shorts and Classic Cars 🌶️ Rated E, ~4300 words Hob has made some very distinct wardrobe choices on a hot day. Dream approves.

Little Indulgences 🌶️ Rated E, ~1000 words A spot of fun with lingerie and sex toys

My Song Can But Borrow Your Grace 🌶️ Rated E, ~6800 words Fanfic for Flatter the Mountain Tops by Teejaystumbles (linked in the post). Dragon AU. Hob wants Dream in dragon form to fuck him while he stays in human form; Dream is beginning to see there’s more to it than just a size kink.

On the Edge of a Waking Dream 🌦️ Rated M, ~3900 words Monsterfucktober Bingo Square 'Ghost'. Human AU. Dream never believed in ghosts until his boyfriend became one

The Beauty of the Beast 🌶️ Rated E, ~3100 words Monsterfucktober Bingo Square 'Were-creature'. Recently-turned werewolf Hob wants to protect Dream from this new side of him. Dream is. Not interested in being protected.

Ambrosia 🌶️ Rated E, ~4000 words An exercise in celebrating the human messiness (and messy humanness) that Dream finds so attractive in Hob

Untitled Knight Hob/King Dream Scene Rated M, ~1300 words A synopsis-plus-scene-draft of a potential Knight Hob and King Dream AU that in all likelihood I will never actually go back to, but I like what's here so it goes on the masterlist

The Keeper and the Traveler Rated G, ~1700 words Not-Exactly-Human AU. A campfire folktale about finding what you didn’t know you were searching for, or something like that. Inspired by Nightwish's 'The Islander'

I've Got My Love to Keep Me Warm Rated M, ~6900 words It’s winter in London and Hob is interested in sharing various cold-weather human experiences with his distinctly-not-human boyfriend

Shampoo Rated G, ~550 words Fluffbruary 2024 prompt 'Scent'. Big changes also mean small changes, and sometimes a loss can bring gain as well

Before I Go Rated G, ~850 words Fluffbruary 2024 prompt 'Evening'. A Season-of-Mists-style leave-taking visit, some time later in their relationship

Vogue Rated M, ~750 words Fluffbruary 2024 prompt 'Photography'. Human AU. Dream comes home and Hob greets him with a camera.

Chaos and Calm Rated G, ~1550 words Human AU. Searching for rain boots and meeting friends in the park. No real plot, just meandering domestic parenting vibes.

Until We Meet Again 🌦️ Rated G, ~2700 words Dream frets over whether or not he could (or should) permit himself to visit Hob more often

Past the Wit of Man (or, Bottom's Dream) 😆 Rated M, ~3600 words Hob is nicely settled in a new career and a new identity and does not expect to see his Stranger until 2089. The universe, apparently, has other ideas.

Til Death Do Us Part Rated T, ~1450 words AU. Dream laments his vampiric nature. Hob offers reassurance, patiently, for the thousandth time

Promises In the Wake Rated G, ~1300 words Hob and Dream go apple picking

Mementos Rated G, ~1200 words Hob waxes nostalgic about an old hobby that's also his newest career.

Baby Got Back 😆 Rated T, ~3900 words Human AU. Dream's sister drags him to the gym. Will the instructor and his assets be enough to convince Dream it's worth his time?

Learning From Old Mistakes Rated T, ~1250 words Hob and Dream are accosted by a thief on their way home one evening

Marriage of Inconvenience Rated G, ~2400 words Selkie AU. Hob is delighted to see the pretty stranger coming back to his cafe, but he has no idea how his life is about to change

Andante Affettuoso Rated G, ~1600 words Five years after their initial reunion, Dream has come to the New Inn on Valentine's Day with specific words in mind.

Tradition Rated G, ~2400 words Dream shares his time and Hob shares his stories, and together they are maybe sharing something else.

[darkficsyouneveraskedfor]

You Make Me Wanna 5

Warnings: dark elements, noncon, age gap, best friend’s dad trope other dark elements. Proceed with caution.

Note: Please let me know what you think as it helps me a lot with ideas and I love interacting with you all.

Part of The Club AU

Three times. Walter, Mr. Marshall, Detective, whoever he is that day, has driven by your house three times. Three times that you’ve noticed. 

The first time you recognised his car, you were taking out the trash. The second time, you were making sure your siblings got on the bus for school. And the third time, you’re coming out the front door, in uniform as you mentally steel yourself for another day at the grocery store. 

You try not to be too obvious as you look for him. You set out on your usual route, a peek here and there over your shoulder, a strategic glance down the street as you turn to cross. Maybe he can stop you for jaywalking. A perfect excuse for him to swing around his weight. 

You take out your phone as you come in sight of the plaza with the grocery store at its centre. Still not word from Faye. You really don’t expect her to be the first to reach out. You’re still sore yourself. It isn’t just that she ditched you, again, it’s that she was so quick to believe you sold her out. She knows the way her father is and yet just like him, she assumes you’re in the wrong. 

As you approach the front doors of the store, you glance back at the lot. It’s sparse with vehicles, still early enough that stockers work at the shelves and the deli still fills its baskets with slices and salads. You clock in and tie on your apron, taking your vigil behind a till. Debbie leaves you as the sole cashier as she goes to do her counts. 

You stare across the store, vision blurring, as the ceiling speakers drone out 80s pop. Your eyes nearly cross at the orbs of colours that form around you; the medley of produce, the smear of labels, and the looming shade of endless aisles. As you detach yourself from the monotony, you’re filled with a cloud of futile acceptance. Every day for the rest of your life. 

Last year, you still had hope. You remember you told Faye you could save up and join her at college. That’s definitely not going to happen. You barely saved a nickel. Just like high school, your cheques were spent picking up after your mom’s job hopping. Your siblings can’t go without food or clothes or everything you didn’t have. Even when you get a few staples free from the clearance cart, you’re still paying far too much just to feed the lot. 

Chrissie is almost fourteen now. She offered to put in an application but she’s still a few years from all that. Besides, you don’t want her to be like you. Only ever worrying about the empty fridge and your mom’s latest antics.  

Zooey is only ten and blissfully unconcerned with anything but anime and drawing in her sketchbook, and your brother, Milo, seven, likes to bring home frogs and snakes. They’re both too young to sense anything is off, though at times, they ask you very pertinent questions about the other kids in their class. 

You sigh. You never wanted this life. Against your will, you’ve inherited your mother’s lot. Your siblings need a parent and she’s not willing to be one. So, you’ll just have to ring through eggs and milk for the rest of your life and make sure they aren’t caught in the same bog. 

“Hey,” the sharp greeting draws you back. 

You blink and shake away the daze. You look over at Mr. Marshall. Not again. You do your best to smooth the worry from your forehead and reach for the sole item on the belt. An excuse, you’re sure. 

You can through the breakfast tray of a hardboiled egg, pita, hummus, cheese, and grapes. The beep chirps harshly in your ears as he stares you down over the top of your till. You stifle a yawn as you hover your hand over the buttons. 

“That everything?” You ask dully. 

“You looked worried,” he moves to lean on the other side of debit machine, where his tray awaits him. “Like maybe you’re keeping secrets.” 

You huff, “I told you I haven’t heard from Faye.” 

“I didn’t ask.” 

“Don’t treat me like I’m stupid,” you snap, “are you going to pay or do you want me to put this back, detective?” 

“I’m off duty,” he tilts his head, “night shift.” 

“Great, so credit or cash?” 

He puffs through his nostrils and squares his jaw, “lot of kids running around your place, huh?” 

“No,” you say curtly, “don’t.” 

“I’m just tryna figure out where my kid is. Pretty crowded at yours so... maybe she’s somewhere else.” 

“Maybe she is,” you utter in exasperation, “but I guess it doesn’t matter how many times I tell you that I don’t know where. You're still going to waste my time. And yours. So, please sir, cash or credit?” 

He scoffs and looks around, the place is still desolate, “you got time.” 

But you don’t have the patience. You barely keep from the retort. You turn and start tidying the till, distracting yourself as you rearrange your sanitizer and check the bin in case it was missed. 

“She’s my daughter. How would you feel if one of your sisters ran off, huh?” 

“You don’t get to talk about my sisters,” you turn back to him, “fine, alright, you want evidence, I’ll give you evidence, sir.” You take out your phone and flick through it in frustration, “the last message she sent me was the night we went out.” You turn the screen to him, “she hasn’t texted, she hasn’t called. Happy? Cause I don’t think she’s interested in being my friend anymore. She’s finally outgrown the poor girl.” 

You can’t help but throw the phone at him as your emotion wells up, “she was only ever friends with me to piss you off. Like I said, I’m not stupid. I just--” you cut yourself off, “I got work to do.” 

You turn back to the screen at your shoulder and brace the cash drawer. You take a slow breath and let it out. You’re embarrassed. He finally did it. He finally got you to crack. You refuse to look at him as he gently places your phone on the counter. 

“Got it,” he says softly, “she isn’t with you.” He clears his throat and shifts, “debit.” 

You grit your teeth, staring at the screen as you hit the button to activate the pin pad, “go ahead.” 

You listen to the beep of each button as he puts in his pin. You wait and the till chimes as the transaction goes through. You rip of the receipt and drop it beside you on the counter without looking. You can hear everything, even the soft noise of him slipping his card back in his wallet. You keep your attention on the monitor. 

“Enjoy your breakfast,” he says. 

Your furrow your nose as you listen to his footsteps and only turn when you hear the automatic door whoosh. You look down at your phone beside the tray of food, the receipt laid neatly over it. You peek up at the doors and your stomach growls. 

His pity is hardly preferable to his spite. 

[intsofttech]

Intsoft Tech machine vision inspection case study, screw surface defect detection solution

[drnikolatesla]

🚢 Tesla's Remote Control Patent: The Birth of Modern Automation 🚢

On November 8, 1898, Nikola Tesla was granted U.S. Patent No. 613,809 for his "Method of and Apparatus for Controlling Mechanism of Moving Vessels or Vehicles." This invention wasn’t just the first practical remote control—it marked a revolutionary step toward the development of wireless communication and automation.

🔧 How Tesla’s System Worked 🔧

Tesla's system worked much like how we control drones today—only over a century ago!

1️⃣ Transmitter: Tesla used radio waves to send wireless commands to the vessel.

2️⃣ Receiver: The vessel had a sensitive device that decoded the radio signals into specific actions, such as steering or powering motors.

3️⃣ Control Circuits: Tesla designed a series of circuits that ensured each command executed reliably, preventing errors and interference.

⚙️ Key Features ⚙️

💡 Command Logic: Tesla's circuits functioned like a primitive decision-making system, linking specific signals to specific actions—a conceptual precursor to today’s logic gates.

🔋 Multi-Channel Design: Each circuit operated on a unique frequency, akin to modern multi-device networks, ensuring precise control without interference.

🛡️ Safety First: Tesla implemented mechanisms to prevent accidental or incorrect activations, prioritizing reliability.

🌍 Applications Then and Now 🌍

Tesla saw the potential for:

✔️ Military Use: Guiding unmanned ships or torpedoes.

✔️ Disaster Response: Sending unmanned vessels into dangerous areas.

✔️ Remote Automation: Introducing wireless precision to various industries.

Today, Tesla's vision echoes in:

🚁 Drones: Controlled remotely through radio signals.

🤖 Robots: Autonomous machines performing tasks with precision.

🏠 Smart Homes: Devices responding to commands over Wi-Fi.

🏭 Automated Factories: Machines operating through programmable controls Tesla helped inspire.

🌟 Why Tesla’s Invention Matters 🌟

Tesla didn’t just create a remote control—he pioneered a framework for wireless systems that continues to shape modern technology. What are your thoughts on Tesla's advancement in wireless technology?

[elwenyere]

I saw a post the other day calling criticism of generative AI a moral panic, and while I do think many proprietary AI technologies are being used in deeply unethical ways, I think there is a substantial body of reporting and research on the real-world impacts of the AI boom that would trouble the comparison to a moral panic: while there *are* older cultural fears tied to negative reactions to the perceived newness of AI, many of those warnings are Luddite with a capital L - that is, they're part of a tradition of materialist critique focused on the way the technology is being deployed in the political economy. So (1) starting with the acknowledgement that a variety of machine-learning technologies were being used by researchers before the current "AI" hype cycle, and that there's evidence for the benefit of targeted use of AI techs in settings where they can be used by trained readers - say, spotting patterns in radiology scans - and (2) setting aside the fact that current proprietary LLMs in particular are largely bullshit machines, in that they confidently generate errors, incorrect citations, and falsehoods in ways humans may be less likely to detect than conventional disinformation, and (3) setting aside as well the potential impact of frequent offloading on human cognition and of widespread AI slop on our understanding of human creativity...

What are some of the material effects of the "AI" boom?

Guzzling water and electricity

The data centers needed to support AI technologies require large quantities of water to cool the processors. A to-be-released paper from the University of California Riverside and the University of Texas Arlington finds, for example, that "ChatGPT needs to 'drink' [the equivalent of] a 500 ml bottle of water for a simple conversation of roughly 20-50 questions and answers." Many of these data centers pull water from already water-stressed areas, and the processing needs of big tech companies are expanding rapidly. Microsoft alone increased its water consumption from 4,196,461 cubic meters in 2020 to 7,843,744 cubic meters in 2023. AI applications are also 100 to 1,000 times more computationally intensive than regular search functions, and as a result the electricity needs of data centers are overwhelming local power grids, and many tech giants are abandoning or delaying their plans to become carbon neutral. Google’s greenhouse gas emissions alone have increased at least 48% since 2019. And a recent analysis from The Guardian suggests the actual AI-related increase in resource use by big tech companies may be up to 662%, or 7.62 times, higher than they've officially reported.

Exploiting labor to create its datasets

Like so many other forms of "automation," generative AI technologies actually require loads of human labor to do things like tag millions of images to train computer vision for ImageNet and to filter the texts used to train LLMs to make them less racist, sexist, and homophobic. This work is deeply casualized, underpaid, and often psychologically harmful. It profits from and re-entrenches a stratified global labor market: many of the data workers used to maintain training sets are from the Global South, and one of the platforms used to buy their work is literally called the Mechanical Turk, owned by Amazon.

From an open letter written by content moderators and AI workers in Kenya to Biden: "US Big Tech companies are systemically abusing and exploiting African workers. In Kenya, these US companies are undermining the local labor laws, the country’s justice system and violating international labor standards. Our working conditions amount to modern day slavery."

Deskilling labor and demoralizing workers

The companies, hospitals, production studios, and academic institutions that have signed contracts with providers of proprietary AI have used those technologies to erode labor protections and worsen working conditions for their employees. Even when AI is not used directly to replace human workers, it is deployed as a tool for disciplining labor by deskilling the work humans perform: in other words, employers use AI tech to reduce the value of human labor (labor like grading student papers, providing customer service, consulting with patients, etc.) in order to enable the automation of previously skilled tasks. Deskilling makes it easier for companies and institutions to casualize and gigify what were previously more secure positions. It reduces pay and bargaining power for workers, forcing them into new gigs as adjuncts for its own technologies.

I can't say anything better than Tressie McMillan Cottom, so let me quote her recent piece at length: "A.I. may be a mid technology with limited use cases to justify its financial and environmental costs. But it is a stellar tool for demoralizing workers who can, in the blink of a digital eye, be categorized as waste. Whatever A.I. has the potential to become, in this political environment it is most powerful when it is aimed at demoralizing workers. This sort of mid tech would, in a perfect world, go the way of classroom TVs and MOOCs. It would find its niche, mildly reshape the way white-collar workers work and Americans would mostly forget about its promise to transform our lives. But we now live in a world where political might makes right. DOGE’s monthslong infomercial for A.I. reveals the difference that power can make to a mid technology. It does not have to be transformative to change how we live and work. In the wrong hands, mid tech is an antilabor hammer."

Enclosing knowledge production and destroying open access

OpenAI started as a non-profit, but it has now become one of the most aggressive for-profit companies in Silicon Valley. Alongside the new proprietary AIs developed by Google, Microsoft, Amazon, Meta, X, etc., OpenAI is extracting personal data and scraping copyrighted works to amass the data it needs to train their bots - even offering one-time payouts to authors to buy the rights to frack their work for AI grist - and then (or so they tell investors) they plan to sell the products back at a profit. As many critics have pointed out, proprietary AI thus works on a model of political economy similar to the 15th-19th-century capitalist project of enclosing what was formerly "the commons," or public land, to turn it into private property for the bourgeois class, who then owned the means of agricultural and industrial production. "Open"AI is built on and requires access to collective knowledge and public archives to run, but its promise to investors (the one they use to attract capital) is that it will enclose the profits generated from that knowledge for private gain.

AI companies hungry for good data to train their Large Language Models (LLMs) have also unleashed a new wave of bots that are stretching the digital infrastructure of open-access sites like Wikipedia, Project Gutenberg, and Internet Archive past capacity. As Eric Hellman writes in a recent blog post, these bots "use as many connections as you have room for. If you add capacity, they just ramp up their requests." In the process of scraping the intellectual commons, they're also trampling and trashing its benefits for truly public use.

Enriching tech oligarchs and fueling military imperialism

The names of many of the people and groups who get richer by generating speculative buzz for generative AI - Elon Musk, Mark Zuckerberg, Sam Altman, Larry Ellison - are familiar to the public because those people are currently using their wealth to purchase political influence and to win access to public resources. And it's looking increasingly likely that this political interference is motivated by the probability that the AI hype is a bubble - that the tech can never be made profitable or useful - and that tech oligarchs are hoping to keep it afloat as a speculation scheme through an infusion of public money - a.k.a. an AIG-style bailout.

In the meantime, these companies have found a growing interest from military buyers for their tech, as AI becomes a new front for "national security" imperialist growth wars. From an email written by Microsoft employee Ibtihal Aboussad, who interrupted Microsoft AI CEO Mustafa Suleyman at a live event to call him a war profiteer: "When I moved to AI Platform, I was excited to contribute to cutting-edge AI technology and its applications for the good of humanity: accessibility products, translation services, and tools to 'empower every human and organization to achieve more.' I was not informed that Microsoft would sell my work to the Israeli military and government, with the purpose of spying on and murdering journalists, doctors, aid workers, and entire civilian families. If I knew my work on transcription scenarios would help spy on and transcribe phone calls to better target Palestinians, I would not have joined this organization and contributed to genocide. I did not sign up to write code that violates human rights."

So there's a brief, non-exhaustive digest of some vectors for a critique of proprietary AI's role in the political economy. tl;dr: the first questions of material analysis are "who labors?" and "who profits/to whom does the value of that labor accrue?"

For further (and longer) reading, check out Justin Joque's Revolutionary Mathematics: Artificial Intelligence, Statistics and the Logic of Capitalism and Karen Hao's forthcoming Empire of AI.

[cryptidcorners]

hi!!! i love how you write so much and i,,,

so... since vanessa mentions being a trained EMT in the movie, what if reader ends up getting hurt by one of the animatronics (be it accidental or not) and vannessa takes the time to patch them up! maybe after, she ends up teasing the reader about their racing pulse, considering they are flustered with the personal attention from nessa.

just a silly little gay thought 🤭

Electric - Vanessa Shelly x F!Reader

Description: While being accompanied by Vanessa during one of your shifts, a quick checkup towards one of the animatronics results in you being shocked and knocked out. Luckily, Vanessa rushes to your aid and comforts you while patching you up.

# requested by anon

Media: FNaF!Movie

Character: Vanessa Shelly

Tags: Romantic Implications, Fluff, Sweet Talk, Mutual Care, Encouragement, Opening Up, Connecting, Playful Vanessa, Flustered Reader, Co-Workers to ? ? ? + F!Reader.

Warnings: Injury (Electric Shock), Descriptions of Burns, Blood, Unconscious, Brief Descriptions from Vanessa's Childhood (Abuse), Some Tension + Anxiety from Vanessa, Possible FNaF Spoilers

Read my TOS, Thanks!

"So, how long have you been working here for?" You asked, hands delicately twisting the rusted gears within the metallic mascot's darkened skeletal figure. You were struggling to get inside this trap, even why animatronics this ancient, their parts wouldn't be hard to twist. Nor smell as bad.

"Years after it closed," Vanessa answered. She had been feeling antsy staying put and watching you work, so tidying had been her priority for the last couple hours of the night. "believe it or not, it's only been recently that this place has required night guards. As soon as I became an officer, applications started opening for more security."

"Really?" You hummed, face fixed on Bonnie's complex systems. You scratched the side of your head, sweat oozing from your face. You had been told the machine had been acting unorthodox as soon as the power went on, as well as that error in his guitar. "Must have been some wild kids then if it needed more than some iron fence." Curiously, you began walking towards the still animatronics instrument. Fingers treading lightly before tinkering with it. Vanessa's eyes flickered wildly, and she screamed, "Wait, no! His guitar-"

It was too late. Soon, your vision was engulfed in white stems of electricity and wild baby blues. You yelped before falling off the stage, falling unconscious almost immediately as dark seeped into your gaze.

Your mind was plagued with a yellow haze, as well as your sight. You blinked rapidly, head twisting with pain. When your eyes began to clear, you could see a tall figure looming over your body. As the seconds drifted by, your senses began to grow back to normal. You could feel your wrists stinging as she wrapped a thick bandage around your cindered skin.

You winced, "Shit."

"Oh, thank God." Vanessa breathed, "You're awake."

You heaved, cringing coldly as pain skyrocketed through your veins. "What happened?" Your lip quivered, jaw twitching as you tried to read your current situation. You could feel blood oozing through your arms and legs which were hugged by white layers. "Oh, fuck." You coughed. Agony gripped your body, making you shutter.

"Take it easy," Vanessa grabbed your shoulder tenderly. Your eyes turned to Vanessa nervously. Maybe it was the shock, or it was something else you couldn't put your finger on. Vanessa frowned, rubbing her thumb to ease your anxiety. "Bonnie's guitar was unstable, and even at the simplest of touches, it can explode. It's not too severe most of the time, but still, it can hurt like hell."

You blinked, "When Steve said it was broken, he never said anything about it exploding." You tried to catch your breath. Vanessa hushed, "Calm down, alright? You're fine." She assured you, voice low as a whisper. "Just take a breath."

You inhaled sharply before releasing. After you did, Vanessa wrapped another section of your arms, which made your stomach twist. You never realized until now how much detail her face held so close, it was memorizing. And nerve-wracking for some odd reason. You were growing more flustered by the second, and she began to notice. Vanessa rested her hand near your chest, and you swore you could see stars.

"Your pulse is crazy fast," she said with a chuckle. You blushed, chuckling weakly. Vanessa pulled her hand away, "You look dazed. What are you so nervous about?"

"Nothing." You answered softly. Vanessa tilted her head, obviously intrigued. "Really?"

She rested her touch against your pulse again, making you shutter. Vanessa giggled, "Are you flustered? Because of me?" She gasped, "You are." Vanessa sounded almost giddy at that, childishly so. You defended yourself, "No, no. I'm just, trying to get my head together. I'm just out of it."

She teased, "Are you sure? I don't care if you get a little red around me. We all get crushes." Vanessa read your starstruck face and smiled once more before applying a light bandage to your cheek. "You feeling better?"

"Just a bit." You laid down, catching your breath. "I'm sorry I put you through this." Your eyes awkwardly shifted to your wrapped hands.

"It's alright, it was a mistake. As long as you're fine, I'm fine." Vanessa began packing away the bright red kit, eyelashes batting as she spoke. Internally, she was furious. Her father lied to you, probably to get you weak. He probably wanted her to leave you burned on the ground and leave the children to clean up everything. That's how it always had been. She was always cleaning up his messes, even as a little girl. It was horrible. Her nails dug against the table with a strangled huff, "You are okay, right?"

"Thanks to you." You told her. You sat up again and nudged your gaze ahead. "A little help?"

"Shit, right." Vanessa walked toward and you felt her warm hands around your sides. She could tell you were screaming inside, and that stole a smirk from her almost immediately. "Hey, if you fall, I'll catch you. My arms are always open,"

"Thanks for the offer." You played along.

You struggled to get on your feet for a couple short seconds, with Vanessa holding you delicately. You were able to walk again, just before the crack of dull dawn. You started gathering your tools with Vanessa next to you. She was toying with her hair when you met her gaze. You shyly extended your hand, "Thank you for helping me . . . You really didn't have to."

"I wanted to." She grabbed your hand and shook it, "I'd love to help you. Well, whenever you need it."

You both remained silent for a minute. And her eyes wandered down to your lips before you cleared your throat, "I hope we can keep in touch?"

"Yes, of course. But, not here, y'know?" She says seriously. "It was a pleasure being with you."

Your heart grew heavy and you couldn't squeeze out anything. You simply waved with a warm expression and walked out into the parking lot. For the first time in your life, you had truly felt something electric. Not just the shock from Bonnie, but from Vanessa.

[thedevmaster-tdm]

MIND-BLOWING Semantic Data Secrets Revealed in AI and Machine Learning

[kpissolution]

🗜 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 4.0 has become increasingly recognized, and 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐈𝐨𝐓 (𝐈𝐈𝐨𝐓) 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 are driving the #digitaltransformation in the manufacturer's industries. At the same time, the appearance of developed connectivity technology, such as #5G, allows manufacturers to take the edge of technologies such as industrialization, #artificialintelligence, augmented reality, and the Internet of Things (IoT) to build elegant manufacturers.

⚙ Manufacturing, energy, utilities, and various core industry sectors have initiated to embrace the 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐫𝐧𝐞𝐭 𝐨𝐟 𝐓𝐡𝐢𝐧𝐠𝐬 (𝐈𝐈𝐨𝐓) vision. Being an #industrialiot 4.0 Solution provider, #kpis allows us to decrease the complexity of developing #iotapplications with its 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐈𝐨𝐓 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 abilities. Our #IIoT sensor networks deliver real-time data and analytics and offer benefits such as: ↪ Automatic machine maintenance and operations ↪ More efficient inventory planning and optimisation ↪ Decreased carbon footprint via operational efficiencies ↪ Risk ease, quicker identification of implementation issues ↪ Enhanced traceability, visibility, and utilisation of field-deployed support and tools ↪ Improve employee security, reducing unsafe conditions resulting in damage or death

🗜 The #Industry40 revolution would not exist if there weren't any connectivity with automation. Leverage our expertise in developing 𝐈𝐈𝐨𝐓 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 to add intelligent capabilities to the manufacturing procedure and connectivity to analogue equipment.

📍 We build 𝐂𝐮𝐬𝐭𝐨𝐦 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐈𝐨𝐓 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 to fulfil your business needs. If you are ready to prepare for the next generation and don't want to be left behind by the industry around you, then #krishnapadamitsolution is willing to help you.

🔊𝐂𝐨𝐧𝐭𝐚𝐜𝐭 𝐔𝐬🔊 ➖➖➖➖➖➖➖➖ 🌐 𝐕𝐢𝐬𝐢𝐭: https://www.kpis.in/iot-development 📧 𝐄𝐦𝐚𝐢𝐥: info@kpis.in 📞 𝐂𝐨𝐧𝐭𝐚𝐜𝐭: +91-6350359218 ➖➖➖➖➖➖➖➖

[ex-dyke-straight-girl]

Welcome to Harmony Vale

The town of Harmony Vale sat nestled in a serene valley, its pastel-painted houses reflecting sunlight like pearls under an endless blue sky. Birds sang year-round, children laughed in immaculate parks, and neighbors greeted one another with wide, genuine smiles. It was a utopia, a place where anger, discontent, and bitterness didn’t seem to exist.

Everyone knew the truth: this perfection was carefully cultivated.

At the center of Harmony Vale stood the Equinox Chamber, a sleek, cylindrical building of glass and steel, and the heart of the town’s transformation process. Within its walls lay the Harmony Process, a procedure that reshaped its applicants in both body and mind.

It wasn’t forced. It wasn’t hidden. The volunteers came willingly, after years on the waiting list, drawn to the promise of a perfect life, Free of their worst flaws and imbued with kindness, patience, and beauty. They would still be themselves, but better.

“This is it,” said Claire, standing beside Ethan at the Chamber’s entrance. They were young, both in their mid-twenties, and both had waited nearly three years for their turn.

Claire glanced nervously at her reflection in the polished door. She brushed her hand through her chestnut hair, her eyes flicking to Ethan. “How do you think we’ll look? You think you’ll still recognize me?”

Ethan grinned, slipping his hand into hers. “Of course. You’ll still be Claire. You’ll just be… more Claire. Perfect Claire.”

That was the promise, after all. The Process didn’t erase memories or rewrite identities. People still loved the same things, had the same passions and talents.

But the Chamber reached deep into the mind and body, like a master sculptor sanding away sharp edges and imperfections: anger, stubbornness, jealousy, insecurity. Every anti-social behavior or intrusive thought smoothed away. The body, too, was perfected, healthier, fitter, a vision of natural beauty. And all of it consensual.

“You’re not nervous?” Claire asked.

Ethan hesitated, but only for a moment. “Of course I am. But we’re doing this for us, right? You’ve said it yourself: no more stupid fights. No more self-doubt. We’ll be happy. Isn’t that what matters?”

She smiled softly and squeezed his hand. “Yeah. Happy.”

A guide greeted them in the Chamber’s lobby. She wore a lavender dress that matched her serene expression and spoke with the practiced calm of someone who had long shed the weight of discontent. Her name tag read Madeline.

“Welcome to your first day of Harmony,” Madeline said warmly. “You’ll enter the Chamber separately, but the results will speak for themselves. Remember, the Process only enhances what’s already there. You’ll feel lighter. Freer. It’s like meeting your best self, and you deserve that.”

Claire swallowed hard as Madeline led them down a gleaming hallway to a set of doors. Claire’s to the left, Ethan’s to the right.

“See you soon,” Ethan said softly, giving Claire’s hand one final squeeze.

Inside her room, Claire found the machine, a reclining chair beneath a halo of soft, golden light. Screens projected words around the room: peace, love, kindness, trust. She could hear faint music — a soothing hum that felt like a lullaby. Her nerves began to ease. She lay down and closed her eyes.

The machine purred to life. A voice, soft and warm, whispered inside her head.

“Claire Thompson. You have chosen Harmony.”

Colors swirled behind her eyelids, soft greens and blues, melting into one another. She felt a warmth spreading through her chest, a sense of deep release, as if someone were gently lifting heavy weights from her soul.

The voice continued. “We will nurture your kindness. We will soothe your anxieties. Your patience, your love, your joy. These will flourish. The burdens you carry, resentment, fear, anger will no longer trouble you. You will be free.”

For a moment, Claire thought of her flaws, the sharp words spoken in arguments, the way she let jealousy twist her stomach, the nights spent crying over her imperfections.

And then… they were gone. Like whispers carried away by the wind.

She felt herself smiling.

Hours later, Claire stood outside the Chamber with Ethan. They looked at each other in awe.

Claire’s features were softer now, her skin smooth and glowing, her posture poised yet relaxed. Ethan’s shoulders were broader, his face more symmetrical, his eyes clear and bright. And yet, they were undeniably themselves.

Ethan smiled at her, tears glistening in his eyes. “You’re beautiful.” Claire touched his cheek, a bubbling joy rising within her. She could feel the love she’d always had for him, only now it was unclouded.

Pure.

“So are you,” she said softly.

They walked hand-in-hand out of the Chamber, greeted by cheers from the town. Friends they hadn’t met yet waved to them from immaculate lawns. Somewhere in the distance, music played.

A plaque at the edge of the square caught Claire’s eye. It read:

“In Harmony Vale, we become who we were always meant to be.”

Claire breathed in the fragrant air of the valley. For the first time in her life, she didn’t feel the heaviness of her flaws weighing her down. There were no dark whispers in her mind. No fear of the future.

She looked at Ethan and smiled.

“Welcome home,” he said.

And in that perfect town, under that perfect sky, Claire knew he was right.