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romerona · 4 months ago

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Ethera Operation!!

You're the government’s best hacker, but that doesn’t mean you were prepared to be thrown into a fighter jet.

Bradley "Rooster" Bradshaw x Awkward!Hacker! FemReader

Part I

This was never supposed to happen. Your role in this operation was simple—deliver the program, ensure it reached the right hands, and let the professionals handle the breaching.

And then, of course, reality decided to light that plan on fire.

The program—codenamed Ethera—was yours. You built it from scratch with encryption so advanced that even the most elite cyber operatives couldn’t crack it without your input. A next-generation adaptive, self-learning decryption software, an intrusion system designed to override and manipulate high-security military networks, Ethera was intended to be both a weapon and a shield, capable of infiltrating enemy systems while protecting your own from counterattacks in real-time. A ghost in the machine. A digital predator. A weapon in the form of pure code. If it fell into the wrong hands, it could disable fleets, and ground aircraft, and turn classified intelligence into an open book. Governments would kill for it. Nations could fall because of it.

Not that you ever meant to, of course. It started as a little experimental security measure program, something to protect high-level data from cyberattacks, not become the ultimate hacking tool. But innovation has a funny way of attracting the wrong kind of attention, and before you knew it, Ethera had become one, if not the most classified, high-risk program in modern times. Tier One asset or so the Secret Service called it.

It was too powerful, too dangerous—so secret that only a select few even knew of its existence, and even fewer could comprehend how it worked.

And therein lay the problem. You were the only person who could properly operate it.

Which was so unfair.

Because it wasn’t supposed to be your problem. You were just the creator, the brain behind the code, the one who spent way too many sleepless nights debugging this monstrosity. Your job was supposed to end at development. But no. Now, because of some bureaucratic nonsense and the fact that no one else could run it without accidentally bricking an entire system, you had been promoted—scratch that, forcibly conscripted—into field duty.

And your mission? To install it in an enemy satellite.

A literal, orbiting, high-security, military-grade satellite, may you add.

God. Why? Why was your country always at war with others? Why couldn’t world leaders just, you know, go to therapy like normal people? Why did everything have to escalate to international cyber warfare?

Which is how you ended up here.

At Top Gun. The last place in the world you wanted to be.

You weren’t built for this. You thrive in sipping coffee in a cosy little office and handling cyber threats from a safe, grounded location. You weren’t meant to be standing in the halls of an elite fighter pilot training program, surrounded by the best aviators in the world—people who thought breaking the sound barrier was a casual Wednesday.

It wasn’t the high-tech cyberwarfare department of the Pentagon, nor some dimly lit black ops facility where hackers in hoodies clacked away at keyboards. No. It was Top Gun. A place where pilots use G-forces like a personal amusement park ride.

You weren’t a soldier, you weren’t a spy, you got queasy in elevators, you got dizzy when you stood too fast, hell, you weren’t even good at keeping your phone screen from cracking.

... And now you were sweating.

You swallowed hard as Admiral Solomon "Warlock" Bates led you through the halls of the naval base, your heels clacking on the polished floors as you wiped your forehead. You're nervous, too damn nervous and this damned weather did not help.

"Relax, Miss," Warlock muttered in that calm, authoritative way of his. "They're just pilots."

Just pilots.

Right. And a nuclear warhead was just a firework.

And now, somehow, you were supposed to explain—loosely explain, because God help you, the full details were above even their clearance level—how Ethera, your elegant, lethal, unstoppable digital masterpiece, was about to be injected into an enemy satellite as part of a classified mission.

This was going to be a disaster.

You had barely made it through the doors of the briefing room when you felt it—every single eye in the room locking onto you.

It wasn’t just the number of them that got you, it was the intensity. These were Top Gun pilots, the best of the best, and they radiated the kind of confidence you could only dream of having. Meanwhile, you felt like a stray kitten wandering into a lion’s den.

Your hands tightened around the tablet clutched to your chest. It was your lifeline, holding every critical detail of Ethera, the program that had dragged you into this utterly ridiculous situation. If you could’ve melted into the walls, you absolutely would have. But there was no escaping this.

You just had to keep it together long enough to survive this briefing.

So, you inhaled deeply, squared your shoulders, and forced your heels forward, trying to project confidence—chin up, back straight, eyes locked onto Vice Admiral Beau "Cyclone" Simpson, who you’d been introduced to earlier that day.

And then, of course, you dropped the damn tablet.

Not a graceful drop. Not the kind of gentle slip where you could scoop it back up and act like nothing happened. No, this was a full-on, physics-defying fumble. The tablet flipped out of your arms, ricocheted off your knee, and skidded across the floor to the feet of one of the pilots.

Silence.

Pure, excruciating silence.

You didn’t even have the nerve to look up right away, too busy contemplating whether it was physically possible to disintegrate on command. But when you finally did glance up—because, you know, social convention demanded it—you were met with a sight that somehow made this entire disaster worse.

Because the person crouching down to pick up your poor, abused tablet was freaking hot.

Tall, broad-shouldered, with a head of golden curls that practically begged to be tousled by the wind, and, oh, yeah—a moustache that somehow worked way too well on him.

He turned the tablet over in his hands, inspecting it with an amused little smirk before handing it over to you. "You, uh… need this?"

Oh, great. His voice is hot too.

You grabbed it back, praying he couldn't see how your hands were shaking. “Nope. Just thought I’d test gravity real quick.”

A few chuckles rippled through the room, and his smirk deepened like he was enjoying this way too much. You, on the other hand, wanted to launch yourself into the sun.

With what little dignity you had left, you forced a quick, tight-lipped smile at him before turning on your heel and continuing forward, clutching your tablet like it was a life raft in the middle of the worst social shipwreck imaginable.

At the front of the room, Vice Admiral Beau Cyclone Simpson stood with the kind of posture that said he had zero time for nonsense, waiting for the room to settle. You barely had time to take a deep breath before his voice cut through the air.

“Alright, listen up.” His tone was crisp, commanding, and impossible to ignore. “This is Dr Y/N L/N. Everything she is about to tell you is highly classified. What you hear in this briefing does not leave this room. Understood?”

A chorus of nods. "Yes, sir."

You barely resisted the urge to physically cringe as every pilot in the room turned to stare at you—some with confusion, others with barely concealed amusement, and a few with the sharp assessing glances of people who had no clue what they were supposed to do with you.

You cleared your throat, squared your shoulders, and did your best to channel even an ounce of the confidence you usually had when you were coding at 3 AM in a secure, pilot-free lab—where the only judgment you faced was from coffee cups and the occasional system error.

As you reached the podium, you forced what you hoped was a composed smile. “Uh… hi, nice to meet you all.”

Solid. Real professional.

You glanced up just long enough to take in the mix of expressions in the room—some mildly interested, some unreadable, and one particular moustached pilot who still had the faintest trace of amusement on his face.

Nope. Not looking at him.

You exhaled slowly, centering yourself. Stay focused. Stay professional. You weren’t just here because of Ethera—you were Ethera. The only one who truly understood it. The only one who could execute this mission.

With another tap on your tablet, the slide shifted to a blacked-out, redacted briefing—only the necessary information was visible. A sleek 3D-rendered model of the enemy satellite appeared on the screen, rotating slowly. Most of its details were blurred or omitted entirely.

“This is Blackstar, a highly classified enemy satellite that has been operating in a low-Earth orbit over restricted airspace.” Your voice remained even, and steady, but the weight of what you were revealing sent a shiver down your spine. “Its existence has remained off the radar—literally and figuratively—until recently, when intelligence confirmed that it has been intercepting our encrypted communications, rerouting information, altering intelligence, and in some cases—fabricating entire communications.”

Someone exhaled sharply. Another shifted in their seat.

“So they’re feeding us bad intel?” one of them with big glasses and blonde hair asked, voice sceptical but sharp.

“That’s the theory,” you confirmed. “And given how quickly our ops have been compromised recently, it’s working.”

You tapped again, shifting to the next slide. The silent infiltration diagram appeared—an intricate web of glowing red lines showing Etherea’s integration process, slowly wrapping around the satellite’s systems like a virus embedding itself into a host.

“This is where Ethera comes in,” you said, shifting to a slide that displayed a cascading string of code, flickering across the screen. “Unlike traditional cyberweapons, Ethera doesn’t just break into a system. It integrates—restructuring security protocols as if it was always meant to be there. It’s undetectable, untraceable, and once inside, it grants us complete control of the Blackstar and won’t even register it as a breach.”

“So we’re not just hacking it," The only female pilot of the team said, arms crossed as she studied the data. “We’re hijacking it.”

“Exactly,” You nodded with a grin.

You switched to the next slide—a detailed radar map displaying the satellite’s location over international waters.

“This is the target area,” you continued after a deep breath. “It’s flying low-altitude reconnaissance patterns, which means it’s using ground relays for some of its communication. That gives us a small window to infiltrate and shut it down.”

The next slide appeared—a pair of unidentified fighter aircraft, patrolling the vicinity.

“And this is the problem,” you said grimly. “This satellite isn’t unguarded.”

A murmur rippled through the room as the pilots took in the fifth-generation stealth fighters displayed on the screen.

“We don’t know who they belong to,” you admitted. “What we do know is that they’re operating with highly classified tech—possibly experimental—and have been seen running defence patterns around the satellite’s flight path.”

Cyclone stepped forward then, arms crossed, his voice sharp and authoritative. “Which means your job is twofold. You will escort Dr L/N’s aircraft to the infiltration zone, ensuring Ethera is successfully deployed. If we are engaged, your priority remains protecting the package and ensuring a safe return.”

Oh, fantastic, you could not only feel your heartbeat in your toes, you were now officially the package.

You cleared your throat, tapping the screen again. Ethera’s interface expanded, displaying a cascade of sleek code.

“Once I’m in range,” you continued, “Ethera will lock onto the satellite’s frequency and begin infiltration. From that point, it’ll take approximately fifty-eight seconds to bypass security and assume control."

Silence settled over the room like a thick cloud, the weight of their stares pressing down on you. You could feel them analyzing, calculating, probably questioning who in their right mind thought putting you—a hacker, a tech specialist, someone whose idea of adrenaline was passing cars on the highway—into a fighter jet was a good idea.

Finally, one of the pilots—tall, broad-shouldered, blonde, and very clearly one of the cocky ones—tilted his head, arms crossed over his chest in a way that screamed too much confidence.

“So, let me get this straight.” His voice was smooth, and confident, with just the right amount of teasing. “You, Doctor—our very classified, very important tech specialist—have to be in the air, in a plane, during a mission that has a high probability of turning into a dogfight… just so you can press a button?”

Your stomach twisted at the mention of being airborne.

“Well…” You gulped, very much aware of how absolutely insane this sounded when put like that. “It’s… more than just that, but, yeah, essentially.”

A slow grin spread across his face, far too entertained by your predicament.

“Oh,” he drawled, “this is gonna be fun.”

Before you could fully process how much you already hated this, Cyclone—who had been watching the exchange with his signature unamused glare—stepped forward, cutting through the tension with his sharp, no-nonsense voice.

“This is a classified operation,” he stated, sharp and authoritative. “Not a joyride.”

The blonde’s smirk faded slightly as he straightened, and the rest of the pilots quickly fell in line.

Silence lingered for a moment longer before Vice Admiral Beau Cyclone Simpson let out a slow breath and straightened. His sharp gaze swept over the room before he nodded once.

“All right. That’s enough.” His tone was firm, the kind that left no room for argument. “We’ve got work to do. The mission will take place in a few weeks' time, once we’ve run full assessments, completed necessary preparations, and designated a lead for this operation.”

There was a slight shift in the room. Some of the pilots exchanged glances, the weight of the upcoming mission finally settling in. Others, mainly the cocky ones, looked as though they were already imagining themselves in the cockpit.

“Dismissed,” Cyclone finished.

The pilots stood, murmuring amongst themselves as they filed out of the room, the blonde one still wearing a smug grin as he passed you making you frown and turn away, your gaze then briefly met the eyes of the moustached pilot.

You hadn’t meant to look, but the moment your eyes connected, something flickered in his expression. Amusement? Curiosity? You weren’t sure, and frankly, you didn’t want to know.

So you did the only logical thing and immediately looked away and turned to gather your things. You needed to get out of here, to find some space to breathe before your brain short-circuited from stress—

“Doctor, Stay for a moment.”

You tightened your grip on your tablet and turned back to Cyclone, who was watching you with that unreadable, vaguely disapproving expression that all high-ranking officers seemed to have perfected. “Uh… yes, sir?”

Once the last pilot was out the door, Cyclone exhaled sharply and crossed his arms.

“You realize,” he said, “that you’re going to have to actually fly, correct?”

You swallowed. “I—well, technically, I’ll just be a passenger.”

His stare didn’t waver.

“Doctor,” he said, tone flat, “I’ve read your file. I know you requested to be driven here instead of taking a military transport plane. You also took a ferry across the bay instead of a helicopter. And I know that you chose to work remotely for three years to avoid getting on a plane.”

You felt heat rise to your cheeks. “That… could mean anything.”

“It means you do not like flying, am I correct?”

Your fingers tightened around the tablet as you tried to find a way—any way—out of this. “Sir, with all due respect, I don’t need to fly the plane. I just need to be in it long enough to deploy Ethera—”

Cyclone cut you off with a sharp look. “And what happens if something goes wrong, Doctor? If the aircraft takes damage? If you have to eject mid-flight? If you lose comms and have to rely on emergency protocols?”

You swallowed hard, your stomach twisting at the very thought of ejecting from a jet.

Cyclone sighed, rubbing his temple as if this entire conversation was giving him a migraine. “We cannot afford to have you panicking mid-mission. If this is going to work, you need to be prepared. That’s why, starting next week you will train with the pilots on aerial procedures and undergoing mandatory training in our flight simulation program.”

Your stomach dropped. “I—wait, what? That’s not necessary—”

“It’s absolutely necessary,” Cyclone cut in, his tone sharp. “If you can’t handle a simulated flight, you become a liability—not just to yourself, but to the pilots escorting you. And in case I need to remind you, Doctor, this mission is classified at the highest level. If you panic mid-air, it won’t just be your life at risk. It’ll be theirs. And it’ll be national security at stake.”

You inhaled sharply. No pressure. None at all.

Cyclone watched you for a moment before speaking again, his tone slightly softer but still firm. “You’re the only one who can do this, Doctor. That means you need to be ready.”

You exhaled slowly, pressing your lips together before nodding stiffly. “Understood, sir.”

Cyclone gave a small nod of approval. “Good. Dismissed.”

You turned and walked out, shoulders tense, fully aware that in three days' time, you were going to be strapped into a high-speed, fighter jet. And knowing your luck?

You were definitely going to puke.

Part 2???

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ayeforscotland · 11 months ago

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What is Dataflow?

This post is inspired by another post about the Crowd Strike IT disaster and a bunch of people being interested in what I mean by Dataflow. Dataflow is my absolute jam and I'm happy to answer as many questions as you like on it. I even put referential pictures in like I'm writing an article, what fun!

I'll probably split this into multiple parts because it'll be a huge post otherwise but here we go!

A Brief History

Our world is dependent on the flow of data. It exists in almost every aspect of our lives and has done so arguably for hundreds if not thousands of years.

At the end of the day, the flow of data is the flow of knowledge and information. Normally most of us refer to data in the context of computing technology (our phones, PCs, tablets etc) but, if we want to get historical about it, the invention of writing and the invention of the Printing Press were great leaps forward in how we increased the flow of information.

Modern Day IT exists for one reason - To support the flow of data.

Whether it's buying something at a shop, sitting staring at an excel sheet at work, or watching Netflix - All of the technology you interact with is to support the flow of data.

Understanding and managing the flow of data is as important to getting us to where we are right now as when we first learned to control and manage water to provide irrigation for early farming and settlement.

Engineering Rigor

When the majority of us turn on the tap to have a drink or take a shower, we expect water to come out. We trust that the water is clean, and we trust that our homes can receive a steady supply of water.

Most of us trust our central heating (insert boiler joke here) and the plugs/sockets in our homes to provide gas and electricity. The reason we trust all of these flows is because there's been rigorous engineering standards built up over decades and centuries.

For example, Scottish Water will understand every component part that makes up their water pipelines. Those pipes, valves, fitting etc will comply with a national, or in some cases international, standard. These companies have diagrams that clearly map all of this out, mostly because they have to legally but also because it also vital for disaster recovery and other compliance issues.

Modern IT

And this is where modern day IT has problems. I'm not saying that modern day tech is a pile of shit. We all have great phones, our PCs can play good games, but it's one thing to craft well-designed products and another thing entirely to think about they all work together.

Because that is what's happened over the past few decades of IT. Organisations have piled on the latest plug-and-play technology (Software or Hardware) and they've built up complex legacy systems that no one really knows how they all work together. They've lost track of how data flows across their organisation which makes the work of cybersecurity, disaster recovery, compliance and general business transformation teams a nightmare.

Some of these systems are entirely dependent on other systems to operate. But that dependency isn't documented. The vast majority of digital transformation projects fail because they get halfway through and realise they hadn't factored in a system that they thought was nothing but was vital to the organisation running.

And this isn't just for-profit organisations, this is the health services, this is national infrastructure, it's everyone.

There's not yet a single standard that says "This is how organisations should control, manage and govern their flows of data."

Why is that relevant to the companies that were affected by Crowd Strike? Would it have stopped it?

Maybe, maybe not. But considering the global impact, it doesn't look like many organisations were prepared for the possibility of a huge chunk of their IT infrastructure going down.

Understanding dataflows help with the preparation for events like this, so organisations can move to mitigate them, and also the recovery side when they do happen. Organisations need to understand which systems are a priority to get back operational and which can be left.

The problem I'm seeing from a lot of organisations at the moment is that they don't know which systems to recover first, and are losing money and reputation while they fight to get things back online. A lot of them are just winging it.

Conclusion of Part 1

Next time I can totally go into diagramming if any of you are interested in that.

How can any organisation actually map their dataflow and what things need to be considered to do so. It'll come across like common sense, but that's why an actual standard is so desperately needed!

#AyeforScotland #crowd strike #Dataflow

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thewinastudyblog · 16 days ago

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some advice i have for future computer science students

as soon as you learn data structures & complexity, run, don’t just walk, RUN to leetcode while the knowledge is still fresh in your mind. your entire career and whether you’ll get a well-paying job vs an average paying job depends on how good you are at leetcode.

build as many projects as you can, and i’m not talking tutorial projects that take a few hours, i’m talking big projects. working on a project for a month or two will get you really far.

if you don’t have an internship, do not waste your summers, learn new technologies, languages, concepts and build projects you can put in your cv.

try to participate in hackathons and coding competitions. it’s okay if you fail, but you’ll learn a lot.

learn how to read documentation. most tutorials don’t even cover a quarter of what a language, framework or software has to offer. the sooner you make reading documentation a habit, the better it is. and yes i know, documentation is long and hard to read. my advice is only read the sections that are relevant to you in the moment. something i also personally do is look at the code examples at the same time as i am reading the paragraphs, it really helps easily absorb the information.

try not to use chatgpt. and if you do, then at least use it for stuff you know you can do yourself and will be able to correct if the bot gets it wrong. using chatgpt is a very slippery slope and the more you use it the less you learn.

the math is important. math teaches you how to reason and how to develop better logical thinking. just because you don’t see yourself using the xyz theorem you’ve learnt anytime in the future doesn’t mean the math is useless.

be prepared to get comfortable with erros, issues, bugs and just problems in general. you’ll be coding 30% of the time and debugging 70% of the time (i’m exaggerating but sometimes it feels like this is the case lol), and that’s okay, it’s how we learn and the sooner you embrace it the better. if you’re someone who easily gets frustrated, then this is a heads up.

learn as you go. there is no such thing as waiting until you know everything before you start on a project. the only way and the best way to learn in this field is practice, so build, build, and build.

these are all the ones i could think of for now. feel free to comment your thoughts and questions <3

#studyinspo #studyblr #stem studyblr #girls in stem #study motivation #computer science #software engineering #study blog #studyspo #study aesthetic #studying #study inspiration #women in stem #stem student #pics are not mine

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justforbooks · 7 days ago

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Pentagon’s Pizza Index has accurately predicted 21 global crises since 1983

As tensions rise in the Middle East, a curious, crowd-driven theory known as the “Pentagon Pizza Index” has caught fire online.

On June 12 and 13, users on X (formerly Twitter) reported a sudden spike in pizza deliveries near the Pentagon and Department of Defense in Washington, D.C., sparking speculation that the United States may be quietly entering crisis mode behind closed doors.

The timing? Just hours before Israel reportedly struck targets in Iran in response to Tehran’s earlier drone and missile attacks. And once again, pizza orders were booming.

Cold war roots of the pizza theory. What began as a Soviet spy trick is now a digital-age meme

The idea isn’t new. During the Cold War, Soviet operatives observed pizza delivery activity in Washington, believing it signalled crisis preparation inside U.S. intelligence circles. They coined it “Pizzint” — short for pizza intelligence.

This tactic entered public lore on 1 August 1990, when Frank Meeks, a Domino’s franchisee in Washington, noticed a sudden surge in deliveries to CIA buildings. The next day, Iraq invaded Kuwait. Meeks later told the Los Angeles Times he saw a similar pattern in December 1998 during the impeachment hearings of President Bill Clinton.

As former CNN Pentagon correspondent Wolf Blitzer once joked in 1990, “Bottom line for journalists: Always monitor the pizzas.”

WWIII warning: What is the Pentagon Pizza Index today? A meme, an OSINT tool, or a symptom of digital-age paranoia?

The modern Pentagon Pizza Index is tracked through open-source intelligence (OSINT) tools. These include Google Maps, which shows real-time restaurant activity, and social media observations. Pages like @PenPizzaReport on X have dedicated themselves to watching for abnormal patterns.

On 1 June 2025, the account posted, “With less than an hour to go before closing time, the Domino’s closest to the Pentagon is experiencing unusually high footfall.”

A few hours later, reports emerged of a fresh escalation between Israel and Iran. For believers in the theory, it was yet another sign that something bigger was underway.

The April 2024 pizza spike. A recent example that reignited interest

The most notable recent instance occurred on 13 April 2024, the night Iran launched a massive drone and missile strike against Israel. That same evening, screenshots from delivery platforms showed pizzerias around the Pentagon, White House, and Department of Defense tagged as “busier than usual.”

Multiple Papa John’s and Domino’s branches reported increased orders. The correlation prompted viral memes and renewed interest in the theory.

According to Euro News, a user on X posted on 13 June 2025, “The Pentagon Pizza Index is hiking.”

Inside the logic: Why pizza? Food, fatigue and national security

The concept is deceptively simple. When military staff face a national emergency, they work longer shifts and can’t leave their posts. They need quick, filling food — and pizza fits the bill.

Studies in behavioural psychology show that under stress, people prefer calorie-dense, familiar comfort foods. During high-alert operations, officials may work 16–20 hour days. That creates a visible consumption spike that outsiders can track.

And because platforms like Google and Uber Eats share real-time data on restaurant activity, amateur analysts can monitor these patterns — no hacking required.

World War III: Pizza as a proxy for preparedness. It’s not perfect, but it’s consistent

The Pentagon Pizza Index isn’t a foolproof system. It could easily be triggered by something mundane: a long staff meeting, a software glitch, or a nearby college football game.

That’s why modern OSINT analysts often cross-reference pizza spikes with other indicators — like unusual aircraft movements, ride-hailing activity, or power usage near government buildings. When multiple signs align, it suggests more than coincidence.

As a senior analyst put it: “You can’t bank a war call on a pizza. But if the Pentagon’s burning the midnight oil and feeding everyone, it’s worth a second look.”

Official silence, public curiosity. What the US government says — and doesn’t say

Despite the chatter online, the US government has made no mention of pizza deliveries as indicators of crisis.

Responding to speculation about American involvement in Israel’s airstrikes on Iran, Republican Senator Marco Rubio said:

“We are not involved in strikes against Iran, and our top priority is protecting American forces in the region. Israel advised us that they believe this action was necessary for its self-defence.”

Still, the Pentagon’s silence on the pizza theory hasn’t stopped internet users from speculating.

Humour meets anxiety in the age of digital vigilance

In an age where open-source tools let ordinary people track the movement of jets, ships, and even pizzas, the Pentagon Pizza Index sits at the bizarre intersection of humour and fear. It turns snack food into a warning system.

It’s also a reminder: not all intelligence requires a badge. Sometimes, the clue might be just down the road — in a Domino’s queue.

Whether you see it as absurd or insightful, one thing is clear: when the pizzas fly, people pay attention.

Daily inspiration. Discover more photos at Just for Books…?

#just for books #Pentagon Pizza Index

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unpremeditatedstudies · 7 months ago

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11.24.24

So Tumblr,

I found out that I hit 400 followers? I umm I’m am going to be real with you I don’t know why I have that many.

Maybe I’m really good at acting like I have everything together and I’m not a mess of a student with a ton of late work and focus problems. Someone give me an Oscar.

But thanks for 400, this blog really is one of the main reasons I have the motivation to study. I don’t really know how to celebrate this but feel free to send asks and messages? I’d love to connect more with the people that follow me here.

But anyways, I’m currently reviewing linked lists because you think a senior computer science student would know basic data structures but um, she does not. It’s kinda bad how ill prepared I am to be a software engineer but I mean better late than never. Last night I headed to a nearby chocolate shop with a friend because they were having discount but the chocolate my friend chose was nothing short of terrible. Oh well at least it was an excuse to get away from the library.

#studyblr #student motivation #studyspo #student #study inspiration #studying #college #collegeblr #unpremeditatedstudies #codeblr #study inspo #study buddy #study space #study blog #study motivation #study notes #study aesthetic #coding #wistem

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savantlabs · 1 year ago

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Elevate Your Data Game: Unleashing Potential with AI-Powered Data Preparation Software

In the era of rapid digital transformation, organizations are turning to AI-powered data preparation software to elevate their data game and unlock unprecedented insights. Traditional data preparation methods often fall short in handling the complexities of today's vast and varied datasets. Enter AI-powered data preparation, a revolutionary approach that harnesses the capabilities of artificial intelligence to streamline and enhance the entire data preparation process.

One of the key advantages of AI-powered data preparation is its ability to automate mundane and time-consuming tasks. Machine learning algorithms embedded in these tools learn from patterns in data, automating tasks such as cleaning, structuring, and transforming data with remarkable precision. This not only accelerates the data preparation timeline but also significantly reduces the risk of human error, ensuring the integrity and accuracy of the prepared datasets.

These advanced tools are designed to adapt to the evolving nature of data. They can handle diverse data sources, whether structured or unstructured and navigate through the intricacies of real-world data scenarios. This adaptability is crucial in today's data landscape, where information is generated at an unprecedented pace and in various formats.

AI-powered data preparation software goes beyond automation—it leverages predictive analytics to suggest transformations, imputations, and enrichment strategies. By understanding the context and relationships within the data, these tools intelligently recommend the most effective steps for optimal data preparation. This not only empowers data professionals but also democratizes the data preparation process, enabling users with varying levels of technical expertise to contribute meaningfully to the organization's data goals.

Moreover, these tools foster collaboration between data teams and business stakeholders. The intuitive interfaces of AI-powered data preparation software facilitate seamless communication, allowing business users to actively participate in the data preparation process. This collaboration bridges the gap between raw data and actionable insights, ensuring that decision-makers have access to high-quality, prepared data for informed decision-making.

AI-powered data preparation software is a game-changer in the data analytics landscape. By automating, adapting, and intelligently guiding the data preparation process, these tools empower organizations to unleash the full potential of their data. As businesses strive to stay ahead in a data-driven world, embracing AI-powered data preparation is not just a choice—it's a strategic imperative to thrive in the realm of data analytics.

#Data Preprocessing #What is data preparation #data preparation tool #Data preparation software #AI-powered data preparation software #data preparation in data science #data preparation process #data preparation and analysis #data preprocessing in machine learning

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rieamena · 11 months ago

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I wonder at what point in the "reboot saga" would the other cunning hares step in and help Billy? Like, on one hand you have a convenient way to stop Billy from whatever he is doing, and watching how Y/N is trying to confess without crashing him must be entertaining. On the other after crash 65 it must get worrying :/

finally!—

the first few crashes had been amusing, a source of lighthearted teasing among the group. you’d attempt to confess, and billy, ever the charismatic and responsive robot, would suddenly freeze, eyes flickering as his system struggled to process the influx of data. the scene would end with him rebooting, and the cycle would start anew. after the first couple of crashes, the laughter faded into concern

“i don’t get it,” you muttered, sprawled out on the couch in the cunning hares' common room. “why does he keep crashing? it’s just a confession.”

“he’s not built to handle that kind of emotional intensity,” nicole explained, fiddling with the handles on his jacket, metal body limp after yet another of your failed confessions. “his programming is complex, but at the core, it’s still a machine trying to process human emotions.”

“and you’re very special to him,” anby added, smiling gently. “that makes it even harder for his system to cope.”

the three of you brainstormed solutions, testing different approaches and environmental controls. they installed cooling systems, tweaked his software, and even practiced mock confessions. yet, each time you poured your heart out to billy, his system would crash and reboot, leaving you both in a loop of unfinished sentences and unspoken feelings

one night, after crash number seventy two—a number that was only devised due to your intricate logs of attempted confessions in your mini journal—the serious gravity of the situation hit everyone. billy’s constant reboots were taking a toll on his system, and the risk of permanent damage was becoming too great to ignore

“this has to stop,” nicole declared, her voice heavy with determination. “we need to find a way to get through to him without causing another crash.”

after much debate, the team devised a new strategy. it wasn’t just about cooling fans and air conditioners; it was about creating a space where billy could process his emotions without the threat of overload. they set up a room specifically for this purpose, equipped with not just temperature controls but also calming visuals and sounds designed to keep billy’s system stable

the designated spot was meticulously prepared. soft lighting filled the room, creating a warm and inviting atmosphere. the hum of air conditioners and strategically placed fans ensured the environment was cool. in the center of the room, billy sat on a cushioned chair, looking a bit puzzled but the aura he exuded was always happy

anby gave you a reassuring nod as she adjusted a fan to blow directly at billy. "remember, y/n, stick to the script and stay calm. we’re right here with you."

you took a deep breath and approached billy, your heart pounding. "hey, billy," you greeted, your voice steady despite the butterflies in your stomach

"hey, [name]," he replied, the crescents of his eyes lighting up the room. "what’s up?"

you clutched the script tightly, glancing at the words one last time before looking up at him. "billy, there’s something i’ve been wanting to tell you for a long time. it’s been on my mind, and i need you to know."

billy’s eyes widened slightly, his full attention on you. you continued, your voice soft but clear, following the script's guidance. "you mean a lot to me, more than just a friend. whenever i’m with you, everything feels brighter and better. your laughter, your kindness, the way you always know how to make me smile. i cherish every moment we spend together."

billy blinked, processing your words. the fans hummed softly, maintaining a cool breeze. you took another deep breath, steadying yourself. "billy, i like you. a lot. more than just a friend. i care about you deeply, and i wanted you to know how i feel."

for a moment, there was silence. billy’s eyes flickered, and you held your breath, waiting for the familiar signs of a reboot, slower movement, glitched speech, loss of composure, but instead, his eyes displayed bright red hearts

"[name]," he said softly, reaching out to take your hand. "i… i like you too. more than just a friend." nicole crept over to a cooling fan close to him, cranking up its power

unfortunately, the slip of paper didn't have any more words to refer to so you had to improvise. "so does this mean we're like, dating now?"

"are we really?! we're dating now?!" billy jumped up from his seat, practically oozing excitement and happiness, "wait, but i've never had a partner before. what if i do something wrong? what if you don't like me anymore?!" he shook your shoulders, speaking a mile a minute, ranting about all the things he could do wrong and all the things that could go wrong

"also, it's really cold in here, i can almost feel my metal constricting! can we turn the thermostat up or something?"

you couldn't help but laugh. "one step at a time, billy. let's start with the thermostat."

you finally got billy kid after seventy two reboots, and boy, wasn't it rewarding.

its actually so embarassing how long this took and its not even good....

billy kid taglist

@pedrosimp137 @mary-moongood @nyxin-lynx @lemonboy011 @eisblume77

@amaryllisenvy @megan017 @astral-spacepumpkin @corrupted-tale @inkycap

@thurstonw @plapsha @lavenderthewolf @kurakusun @vitaevaaa

@sweetadonisbutbetter @cobraaah @mochiitoby @clickingchip @bardivislak

@h3r6c00k13 @cozi-cofee @apestegui-y @luvuyuuji @theitdoitnobody

@fersitaam @cathrnxxo @monkepawbz @fl1ghtl3ssdrag0n @dabislilbaby

@many-names-yuna @muffin1304 @doort @j3llycarnival @juuanna

@discipleofthem @spookylorekeep @wazkalia @miaubrebmiau @hersweetsstrawberry

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mostlysignssomeportents · 1 year ago

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Hypothetical AI election disinformation risks vs real AI harms

I'm on tour with my new novel The Bezzle! Catch me TONIGHT (Feb 27) in Portland at Powell's. Then, onto Phoenix (Changing Hands, Feb 29), Tucson (Mar 9-12), and more!

You can barely turn around these days without encountering a think-piece warning of the impending risk of AI disinformation in the coming elections. But a recent episode of This Machine Kills podcast reminds us that these are hypothetical risks, and there is no shortage of real AI harms:

https://soundcloud.com/thismachinekillspod/311-selling-pickaxes-for-the-ai-gold-rush

The algorithmic decision-making systems that increasingly run the back-ends to our lives are really, truly very bad at doing their jobs, and worse, these systems constitute a form of "empiricism-washing": if the computer says it's true, it must be true. There's no such thing as racist math, you SJW snowflake!

https://slate.com/news-and-politics/2019/02/aoc-algorithms-racist-bias.html

Nearly 1,000 British postmasters were wrongly convicted of fraud by Horizon, the faulty AI fraud-hunting system that Fujitsu provided to the Royal Mail. They had their lives ruined by this faulty AI, many went to prison, and at least four of the AI's victims killed themselves:

https://en.wikipedia.org/wiki/British_Post_Office_scandal

Tenants across America have seen their rents skyrocket thanks to Realpage's landlord price-fixing algorithm, which deployed the time-honored defense: "It's not a crime if we commit it with an app":

https://www.propublica.org/article/doj-backs-tenants-price-fixing-case-big-landlords-real-estate-tech

Housing, you'll recall, is pretty foundational in the human hierarchy of needs. Losing your home – or being forced to choose between paying rent or buying groceries or gas for your car or clothes for your kid – is a non-hypothetical, widespread, urgent problem that can be traced straight to AI.

Then there's predictive policing: cities across America and the world have bought systems that purport to tell the cops where to look for crime. Of course, these systems are trained on policing data from forces that are seeking to correct racial bias in their practices by using an algorithm to create "fairness." You feed this algorithm a data-set of where the police had detected crime in previous years, and it predicts where you'll find crime in the years to come.

But you only find crime where you look for it. If the cops only ever stop-and-frisk Black and brown kids, or pull over Black and brown drivers, then every knife, baggie or gun they find in someone's trunk or pockets will be found in a Black or brown person's trunk or pocket. A predictive policing algorithm will naively ingest this data and confidently assert that future crimes can be foiled by looking for more Black and brown people and searching them and pulling them over.

Obviously, this is bad for Black and brown people in low-income neighborhoods, whose baseline risk of an encounter with a cop turning violent or even lethal. But it's also bad for affluent people in affluent neighborhoods – because they are underpoliced as a result of these algorithmic biases. For example, domestic abuse that occurs in full detached single-family homes is systematically underrepresented in crime data, because the majority of domestic abuse calls originate with neighbors who can hear the abuse take place through a shared wall.

But the majority of algorithmic harms are inflicted on poor, racialized and/or working class people. Even if you escape a predictive policing algorithm, a facial recognition algorithm may wrongly accuse you of a crime, and even if you were far away from the site of the crime, the cops will still arrest you, because computers don't lie:

https://www.cbsnews.com/sacramento/news/texas-macys-sunglass-hut-facial-recognition-software-wrongful-arrest-sacramento-alibi/

Trying to get a low-waged service job? Be prepared for endless, nonsensical AI "personality tests" that make Scientology look like NASA:

https://futurism.com/mandatory-ai-hiring-tests

Service workers' schedules are at the mercy of shift-allocation algorithms that assign them hours that ensure that they fall just short of qualifying for health and other benefits. These algorithms push workers into "clopening" – where you close the store after midnight and then open it again the next morning before 5AM. And if you try to unionize, another algorithm – that spies on you and your fellow workers' social media activity – targets you for reprisals and your store for closure.

If you're driving an Amazon delivery van, algorithm watches your eyeballs and tells your boss that you're a bad driver if it doesn't like what it sees. If you're working in an Amazon warehouse, an algorithm decides if you've taken too many pee-breaks and automatically dings you:

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

If this disgusts you and you're hoping to use your ballot to elect lawmakers who will take up your cause, an algorithm stands in your way again. "AI" tools for purging voter rolls are especially harmful to racialized people – for example, they assume that two "Juan Gomez"es with a shared birthday in two different states must be the same person and remove one or both from the voter rolls:

https://www.cbsnews.com/news/eligible-voters-swept-up-conservative-activists-purge-voter-rolls/

Hoping to get a solid education, the sort that will keep you out of AI-supervised, precarious, low-waged work? Sorry, kiddo: the ed-tech system is riddled with algorithms. There's the grifty "remote invigilation" industry that watches you take tests via webcam and accuses you of cheating if your facial expressions fail its high-tech phrenology standards:

https://pluralistic.net/2022/02/16/unauthorized-paper/#cheating-anticheat

All of these are non-hypothetical, real risks from AI. The AI industry has proven itself incredibly adept at deflecting interest from real harms to hypothetical ones, like the "risk" that the spicy autocomplete will become conscious and take over the world in order to convert us all to paperclips:

https://pluralistic.net/2023/11/27/10-types-of-people/#taking-up-a-lot-of-space

Whenever you hear AI bosses talking about how seriously they're taking a hypothetical risk, that's the moment when you should check in on whether they're doing anything about all these longstanding, real risks. And even as AI bosses promise to fight hypothetical election disinformation, they continue to downplay or ignore the non-hypothetical, here-and-now harms of AI.

There's something unseemly – and even perverse – about worrying so much about AI and election disinformation. It plays into the narrative that kicked off in earnest in 2016, that the reason the electorate votes for manifestly unqualified candidates who run on a platform of bald-faced lies is that they are gullible and easily led astray.

But there's another explanation: the reason people accept conspiratorial accounts of how our institutions are run is because the institutions that are supposed to be defending us are corrupt and captured by actual conspiracies:

https://memex.craphound.com/2019/09/21/republic-of-lies-the-rise-of-conspiratorial-thinking-and-the-actual-conspiracies-that-fuel-it/

The party line on conspiratorial accounts is that these institutions are good, actually. Think of the rebuttal offered to anti-vaxxers who claimed that pharma giants were run by murderous sociopath billionaires who were in league with their regulators to kill us for a buck: "no, I think you'll find pharma companies are great and superbly regulated":

https://pluralistic.net/2023/09/05/not-that-naomi/#if-the-naomi-be-klein-youre-doing-just-fine

Institutions are profoundly important to a high-tech society. No one is capable of assessing all the life-or-death choices we make every day, from whether to trust the firmware in your car's anti-lock brakes, the alloys used in the structural members of your home, or the food-safety standards for the meal you're about to eat. We must rely on well-regulated experts to make these calls for us, and when the institutions fail us, we are thrown into a state of epistemological chaos. We must make decisions about whether to trust these technological systems, but we can't make informed choices because the one thing we're sure of is that our institutions aren't trustworthy.

Ironically, the long list of AI harms that we live with every day are the most important contributor to disinformation campaigns. It's these harms that provide the evidence for belief in conspiratorial accounts of the world, because each one is proof that the system can't be trusted. The election disinformation discourse focuses on the lies told – and not why those lies are credible.

That's because the subtext of election disinformation concerns is usually that the electorate is credulous, fools waiting to be suckered in. By refusing to contemplate the institutional failures that sit upstream of conspiracism, we can smugly locate the blame with the peddlers of lies and assume the mantle of paternalistic protectors of the easily gulled electorate.

But the group of people who are demonstrably being tricked by AI is the people who buy the horrifically flawed AI-based algorithmic systems and put them into use despite their manifest failures.

As I've written many times, "we're nowhere near a place where bots can steal your job, but we're certainly at the point where your boss can be suckered into firing you and replacing you with a bot that fails at doing your job"

https://pluralistic.net/2024/01/15/passive-income-brainworms/#four-hour-work-week

The most visible victims of AI disinformation are the people who are putting AI in charge of the life-chances of millions of the rest of us. Tackle that AI disinformation and its harms, and we'll make conspiratorial claims about our institutions being corrupt far less credible.

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/2024/02/27/ai-conspiracies/#epistemological-collapse

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

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

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lets-talk-gundam · 6 months ago

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The MS-07B Gouf

In preparation for the invasion of Earth, Zeon forces modified a number of MS-06 Zaku-II F-types for use under the effects of the planet's gravity. The new "J-type" Zaku-IIs featured a number of internal hardware and software changes to enhance their viability on the ground.

The Zaku-II J-Type would be used as a testbed for new developments with the goal of creating a new mass-production mobile suit for use on the ground. And where the Zaku was intended for anti-ship and anti-aerospace combat, this new platform would be built to fight other mobile suits.

Zimmad and Zeonic would both begin working on this new project, directly competing with one another, but eventually coming up with very similar designs. Zeonic moved forward with the YMS-07A Prototype Gouf, and Zimmad presented the YMS-08A High Mobility Test Type.

While Zimmad's design failed to show a significant increase in performance from the Zaku-II J-Type, Zeonic's "Gouf" showed immense promise. The prototype would be picked up and would see a limited production run as the MS-07A Gouf.

The MS-07A was a pre-production model intended for data gathering. The final mass-production model would feature several additional weapon systems, such as an in-built 75mm machine gun in the left manipulator, and a retractable "Heat Rod" on the left forearm.

The Gouf was used to great effect by Zeon captain Ramba Ral, who went toe-to-toe with the Earth Federation's infamous RX-78-2 Gundam.

Among the Ace pilots who used the Gouf as their personal units, Viche Donahue, Silas Locke, and Norris Packard were among the most well-known. All three of these aces would become battlefield legends, with Packard's MS-07B-3 Gouf Custom becoming especially infamous. The machine's equipment proved so effective that it became a common alternate loadout for many Gouf pilots.

The MS-07 would be customized for a variety of roles and theaters, with many of these variants seeing further developments of their own.

Notable among these was the MS-07W Gouf Combined Test Type, which featured a miniaturized Dopp fighter serving as its cockpit. The development of the machine was heavily influenced by data gathered from the Federation's RX-series of mobile suits. Namely, their "Core Block" system.

The Gouf would also see another fork, being developed into the MS-07H Gouf Flight Type. While both prototypes made use of thermonuclear rocket engines, the final version used thermonuclear jet engines, allowing for greater efficiency in atmospheric flight.

The MS-07B saw further refinement into the MS-07C. While not much is known about its specifications, there are at least three known variants. A number of Goufs were acquired by Zimmad and used as testbeds for systems to be incorporated into the MS-09 Dom series of mobile suits. These Goufs were MS-07Cs.

And finally, in UC 120, nearly 50 years from the initial deployment of the original machine, Mars Zeon would develop and deploy the OMS-07RF RF Gouf. While externally resembling the MS-07B, the OMS-07-RF was a completely new machine which could also operate in space, unlike its predecessors.

The MS-07B Gouf was originally designed by Kunio Okawara for the 1979 Anime "Mobile Suit Gundam".

This article was a request! Requests are always welcome!

I am so terribly sorry for the delay in getting this post out! It's been a very hectic few months, but I'm hoping to get back in the flow of things!

#mobile suit gundam #mecha #lets talk gundam #gundam #mecha design

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bpod-bpod · 3 months ago

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Parasite Seeing

One way to tackle malaria is to interrupt its trail of infection. Injected through the skin by a mosquito bite, the malaria-causing parasite, Plasmodium falciparum, hides out inside red blood cells while it prepares to replicate. Until now, many of its secrets were kept safe inside. Here, researchers use high resolution electron microscopy to picture its inner details in 3D. Zooming in through the wall of a blood cell, we find a female P. falciparum – computer software colours its individual organelles, like the nucleus (dark green) and mitochondria (red). Another vital organelle, the apicoplast (yellow), is surprisingly similar to a plant’s chloroplast. Targeting such organelles with herbicides may be a novel way of tackling malaria, while this data is made publicly available for other researchers to search for weaknesses.

Written by John Ankers

Video from work by Felix Evers and colleagues

Department of Medical Microbiology, Radboud University Medical Center, Nijmegen, The Netherlands

Video originally published with a Creative Commons Attribution 4.0 International (CC BY 4.0)

Published in Nature Communications, January 2025

You can also follow BPoD on Instagram, Twitter, Facebook and Bluesky

#science #biomedicine #biology #parasites #malaria #3D imaging

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mariacallous · 3 months ago

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Democrats on the House Oversight Committee fired off two dozen requests Wednesday morning pressing federal agency leaders for information about plans to install AI software throughout federal agencies amid the ongoing cuts to the government's workforce.

The barrage of inquiries follow recent reporting by WIRED and The Washington Post concerning efforts by Elon Musk’s so-called Department of Government Efficiency (DOGE) to automate tasks with a variety of proprietary AI tools and access sensitive data.

“The American people entrust the federal government with sensitive personal information related to their health, finances, and other biographical information on the basis that this information will not be disclosed or improperly used without their consent,” the requests read, “including through the use of an unapproved and unaccountable third-party AI software.”

The requests, first obtained by WIRED, are signed by Gerald Connolly, a Democratic congressman from Virginia.

The central purpose of the requests is to press the agencies into demonstrating that any potential use of AI is legal and that steps are being taken to safeguard Americans’ private data. The Democrats also want to know whether any use of AI will financially benefit Musk, who founded xAI and whose troubled electric car company, Tesla, is working to pivot toward robotics and AI. The Democrats are further concerned, Connolly says, that Musk could be using his access to sensitive government data for personal enrichment, leveraging the data to “supercharge” his own proprietary AI model, known as Grok.

In the requests, Connolly notes that federal agencies are “bound by multiple statutory requirements in their use of AI software,” pointing chiefly to the Federal Risk and Authorization Management Program, which works to standardize the government’s approach to cloud services and ensure AI-based tools are properly assessed for security risks. He also points to the Advancing American AI Act, which requires federal agencies to “prepare and maintain an inventory of the artificial intelligence use cases of the agency,” as well as “make agency inventories available to the public.”

Documents obtained by WIRED last week show that DOGE operatives have deployed a proprietary chatbot called GSAi to approximately 1,500 federal workers. The GSA oversees federal government properties and supplies information technology services to many agencies.

A memo obtained by WIRED reporters shows employees have been warned against feeding the software any controlled unclassified information. Other agencies, including the departments of Treasury and Health and Human Services, have considered using a chatbot, though not necessarily GSAi, according to documents viewed by WIRED.

WIRED has also reported that the United States Army is currently using software dubbed CamoGPT to scan its records systems for any references to diversity, equity, inclusion, and accessibility. An Army spokesperson confirmed the existence of the tool but declined to provide further information about how the Army plans to use it.

In the requests, Connolly writes that the Department of Education possesses personally identifiable information on more than 43 million people tied to federal student aid programs. “Due to the opaque and frenetic pace at which DOGE seems to be operating,” he writes, “I am deeply concerned that students’, parents’, spouses’, family members’ and all other borrowers’ sensitive information is being handled by secretive members of the DOGE team for unclear purposes and with no safeguards to prevent disclosure or improper, unethical use.” The Washington Post previously reported that DOGE had begun feeding sensitive federal data drawn from record systems at the Department of Education to analyze its spending.

Education secretary Linda McMahon said Tuesday that she was proceeding with plans to fire more than a thousand workers at the department, joining hundreds of others who accepted DOGE “buyouts” last month. The Education Department has lost nearly half of its workforce—the first step, McMahon says, in fully abolishing the agency.

“The use of AI to evaluate sensitive data is fraught with serious hazards beyond improper disclosure,” Connolly writes, warning that “inputs used and the parameters selected for analysis may be flawed, errors may be introduced through the design of the AI software, and staff may misinterpret AI recommendations, among other concerns.”

He adds: “Without clear purpose behind the use of AI, guardrails to ensure appropriate handling of data, and adequate oversight and transparency, the application of AI is dangerous and potentially violates federal law.”

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