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nostalgebraist · 3 months ago

Text

Anthropic's stated "AI timelines" seem wildly aggressive to me.

As far as I can tell, they are now saying that by 2028 – and possibly even by 2027, or late 2026 – something they call "powerful AI" will exist.

And by "powerful AI," they mean... this (source, emphasis mine):

In terms of pure intelligence, it is smarter than a Nobel Prize winner across most relevant fields – biology, programming, math, engineering, writing, etc. This means it can prove unsolved mathematical theorems, write extremely good novels, write difficult codebases from scratch, etc. In addition to just being a “smart thing you talk to”, it has all the “interfaces” available to a human working virtually, including text, audio, video, mouse and keyboard control, and internet access. It can engage in any actions, communications, or remote operations enabled by this interface, including taking actions on the internet, taking or giving directions to humans, ordering materials, directing experiments, watching videos, making videos, and so on. It does all of these tasks with, again, a skill exceeding that of the most capable humans in the world. It does not just passively answer questions; instead, it can be given tasks that take hours, days, or weeks to complete, and then goes off and does those tasks autonomously, in the way a smart employee would, asking for clarification as necessary. It does not have a physical embodiment (other than living on a computer screen), but it can control existing physical tools, robots, or laboratory equipment through a computer; in theory it could even design robots or equipment for itself to use. The resources used to train the model can be repurposed to run millions of instances of it (this matches projected cluster sizes by ~2027), and the model can absorb information and generate actions at roughly 10x-100x human speed. It may however be limited by the response time of the physical world or of software it interacts with. Each of these million copies can act independently on unrelated tasks, or if needed can all work together in the same way humans would collaborate, perhaps with different subpopulations fine-tuned to be especially good at particular tasks.

In the post I'm quoting, Amodei is coy about the timeline for this stuff, saying only that

I think it could come as early as 2026, though there are also ways it could take much longer. But for the purposes of this essay, I’d like to put these issues aside [...]

However, other official communications from Anthropic have been more specific. Most notable is their recent OSTP submission, which states (emphasis in original):

Based on current research trajectories, we anticipate that powerful AI systems could emerge as soon as late 2026 or 2027 [...] Powerful AI technology will be built during this Administration. [i.e. the current Trump administration -nost]

See also here, where Jack Clark says (my emphasis):

People underrate how significant and fast-moving AI progress is. We have this notion that in late 2026, or early 2027, powerful AI systems will be built that will have intellectual capabilities that match or exceed Nobel Prize winners. They’ll have the ability to navigate all of the interfaces… [Clark goes on, mentioning some of the other tenets of "powerful AI" as in other Anthropic communications -nost]

----

To be clear, extremely short timelines like these are not unique to Anthropic.

Miles Brundage (ex-OpenAI) says something similar, albeit less specific, in this post. And Daniel Kokotajlo (also ex-OpenAI) has held views like this for a long time now.

Even Sam Altman himself has said similar things (though in much, much vaguer terms, both on the content of the deliverable and the timeline).

Still, Anthropic's statements are unique in being

official positions of the company

extremely specific and ambitious about the details

extremely aggressive about the timing, even by the standards of "short timelines" AI prognosticators in the same social cluster

Re: ambition, note that the definition of "powerful AI" seems almost the opposite of what you'd come up with if you were trying to make a confident forecast of something.

Often people will talk about "AI capable of transforming the world economy" or something more like that, leaving room for the AI in question to do that in one of several ways, or to do so while still failing at some important things.

But instead, Anthropic's definition is a big conjunctive list of "it'll be able to do this and that and this other thing and...", and each individual capability is defined in the most aggressive possible way, too! Not just "good enough at science to be extremely useful for scientists," but "smarter than a Nobel Prize winner," across "most relevant fields" (whatever that means). And not just good at science but also able to "write extremely good novels" (note that we have a long way to go on that front, and I get the feeling that people at AI labs don't appreciate the extent of the gap [cf]). Not only can it use a computer interface, it can use every computer interface; not only can it use them competently, but it can do so better than the best humans in the world. And all of that is in the first two paragraphs – there's four more paragraphs I haven't even touched in this little summary!

Re: timing, they have even shorter timelines than Kokotajlo these days, which is remarkable since he's historically been considered "the guy with the really short timelines." (See here where Kokotajlo states a median prediction of 2028 for "AGI," by which he means something less impressive than "powerful AI"; he expects something close to the "powerful AI" vision ["ASI"] ~1 year or so after "AGI" arrives.)

----

I, uh, really do not think this is going to happen in "late 2026 or 2027."

Or even by the end of this presidential administration, for that matter.

I can imagine it happening within my lifetime – which is wild and scary and marvelous. But in 1.5 years?!

The confusing thing is, I am very familiar with the kinds of arguments that "short timelines" people make, and I still find the Anthropic's timelines hard to fathom.

Above, I mentioned that Anthropic has shorter timelines than Daniel Kokotajlo, who "merely" expects the same sort of thing in 2029 or so. This probably seems like hairsplitting – from the perspective of your average person not in these circles, both of these predictions look basically identical, "absurdly good godlike sci-fi AI coming absurdly soon." What difference does an extra year or two make, right?

But it's salient to me, because I've been reading Kokotajlo for years now, and I feel like I basically get understand his case. And people, including me, tend to push back on him in the "no, that's too soon" direction. I've read many many blog posts and discussions over the years about this sort of thing, I feel like I should have a handle on what the short-timelines case is.

But even if you accept all the arguments evinced over the years by Daniel "Short Timelines" Kokotajlo, even if you grant all the premises he assumes and some people don't – that still doesn't get you all the way to the Anthropic timeline!

To give a very brief, very inadequate summary, the standard "short timelines argument" right now is like:

Over the next few years we will see a "growth spurt" in the amount of computing power ("compute") used for the largest LLM training runs. This factor of production has been largely stagnant since GPT-4 in 2023, for various reasons, but new clusters are getting built and the metaphorical car will get moving again soon. (See here)

By convention, each "GPT number" uses ~100x as much training compute as the last one. GPT-3 used ~100x as much as GPT-2, and GPT-4 used ~100x as much as GPT-3 (i.e. ~10,000x as much as GPT-2).

We are just now starting to see "~10x GPT-4 compute" models (like Grok 3 and GPT-4.5). In the next few years we will get to "~100x GPT-4 compute" models, and by 2030 will will reach ~10,000x GPT-4 compute.

If you think intuitively about "how much GPT-4 improved upon GPT-3 (100x less) or GPT-2 (10,000x less)," you can maybe convince yourself that these near-future models will be super-smart in ways that are difficult to precisely state/imagine from our vantage point. (GPT-4 was way smarter than GPT-2; it's hard to know what "projecting that forward" would mean, concretely, but it sure does sound like something pretty special)

Meanwhile, all kinds of (arguably) complementary research is going on, like allowing models to "think" for longer amounts of time, giving them GUI interfaces, etc.

All that being said, there's still a big intuitive gap between "ChatGPT, but it's much smarter under the hood" and anything like "powerful AI." But...

...the LLMs are getting good enough that they can write pretty good code, and they're getting better over time. And depending on how you interpret the evidence, you may be able to convince yourself that they're also swiftly getting better at other tasks involved in AI development, like "research engineering." So maybe you don't need to get all the way yourself, you just need to build an AI that's a good enough AI developer that it improves your AIs faster than you can, and then those AIs are even better developers, etc. etc. (People in this social cluster are really keen on the importance of exponential growth, which is generally a good trait to have but IMO it shades into "we need to kick off exponential growth and it'll somehow do the rest because it's all-powerful" in this case.)

And like, I have various disagreements with this picture.

For one thing, the "10x" models we're getting now don't seem especially impressive – there has been a lot of debate over this of course, but reportedly these models were disappointing to their own developers, who expected scaling to work wonders (using the kind of intuitive reasoning mentioned above) and got less than they hoped for.

And (in light of that) I think it's double-counting to talk about the wonders of scaling and then talk about reasoning, computer GUI use, etc. as complementary accelerating factors – those things are just table stakes at this point, the models are already maxing out the tasks you had defined previously, you've gotta give them something new to do or else they'll just sit there wasting GPUs when a smaller model would have sufficed.

And I think we're already at a point where nuances of UX and "character writing" and so forth are more of a limiting factor than intelligence. It's not a lack of "intelligence" that gives us superficially dazzling but vapid "eyeball kick" prose, or voice assistants that are deeply uncomfortable to actually talk to, or (I claim) "AI agents" that get stuck in loops and confuse themselves, or any of that.

We are still stuck in the "Helpful, Harmless, Honest Assistant" chatbot paradigm – no one has seriously broke with it since that Anthropic introduced it in a paper in 2021 – and now that paradigm is showing its limits. ("Reasoning" was strapped onto this paradigm in a simple and fairly awkward way, the new "reasoning" models are still chatbots like this, no one is actually doing anything else.) And instead of "okay, let's invent something better," the plan seems to be "let's just scale up these assistant chatbots and try to get them to self-improve, and they'll figure it out." I won't try to explain why in this post (IYI I kind of tried to here) but I really doubt these helpful/harmless guys can bootstrap their way into winning all the Nobel Prizes.

----

All that stuff I just said – that's where I differ from the usual "short timelines" people, from Kokotajlo and co.

But OK, let's say that for the sake of argument, I'm wrong and they're right. It still seems like a pretty tough squeeze to get to "powerful AI" on time, doesn't it?

In the OSTP submission, Anthropic presents their latest release as evidence of their authority to speak on the topic:

In February 2025, we released Claude 3.7 Sonnet, which is by many performance benchmarks the most powerful and capable commercially-available AI system in the world.

I've used Claude 3.7 Sonnet quite a bit. It is indeed really good, by the standards of these sorts of things!

But it is, of course, very very far from "powerful AI." So like, what is the fine-grained timeline even supposed to look like? When do the many, many milestones get crossed? If they're going to have "powerful AI" in early 2027, where exactly are they in mid-2026? At end-of-year 2025?

If I assume that absolutely everything goes splendidly well with no unexpected obstacles – and remember, we are talking about automating all human intellectual labor and all tasks done by humans on computers, but sure, whatever – then maybe we get the really impressive next-gen models later this year or early next year... and maybe they're suddenly good at all the stuff that has been tough for LLMs thus far (the "10x" models already released show little sign of this but sure, whatever)... and then we finally get into the self-improvement loop in earnest, and then... what?

They figure out to squeeze even more performance out of the GPUs? They think of really smart experiments to run on the cluster? Where are they going to get all the missing information about how to do every single job on earth, the tacit knowledge, the stuff that's not in any web scrape anywhere but locked up in human minds and inaccessible private data stores? Is an experiment designed by a helpful-chatbot AI going to finally crack the problem of giving chatbots the taste to "write extremely good novels," when that taste is precisely what "helpful-chatbot AIs" lack?

I guess the boring answer is that this is all just hype – tech CEO acts like tech CEO, news at 11. (But I don't feel like that can be the full story here, somehow.)

And the scary answer is that there's some secret Anthropic private info that makes this all more plausible. (But I doubt that too – cf. Brundage's claim that there are no more secrets like that now, the short-timelines cards are all on the table.)

It just does not make sense to me. And (as you can probably tell) I find it very frustrating that these guys are out there talking about how human thought will basically be obsolete in a few years, and pontificating about how to find new sources of meaning in life and stuff, without actually laying out an argument that their vision – which would be the common concern of all of us, if it were indeed on the horizon – is actually likely to occur on the timescale they propose.

It would be less frustrating if I were being asked to simply take it on faith, or explicitly on the basis of corporate secret knowledge. But no, the claim is not that, it's something more like "now, now, I know this must sound far-fetched to the layman, but if you really understand 'scaling laws' and 'exponential growth,' and you appreciate the way that pretraining will be scaled up soon, then it's simply obvious that –"

No! Fuck that! I've read the papers you're talking about, I know all the arguments you're handwaving-in-the-direction-of! It still doesn't add up!

#ai tag #no matter how things go i'm sure this will be fun to revisit in 2 years...

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morgan-va · 5 months ago

Text

Chapter 29: Remembering. (Serial Designation V x reader)

Masterlist

TW: Descriptions of pain and suffering

Back in her room, Uzi spins her chair around, a satisfied chuckle escaping her as N and V begin to stir. It worked. She actually got their memories back.

V, always the quickest to act, barely takes a second before her hand snaps into a chainsaw, the jagged edge revving to life as she growls. "What the hell, Uzi?! What gives you the right to snoop through our heads?"

She stops mid-threat, her optics flicking to the side. Uzi follows her gaze and freezes. Techie is still wired into the computer, slumped in the chair, motionless. Dimmed optics flicker with scrolling text.

ADMINISTRATOR LOCKOUT: SUCCESSFULBEGINNING DISK CLEANUP|||||________________________________ 7%

Uzi’s stomach drops. No. No, no, no. This shouldn’t be possible, Techie should have woken up, just like N and V.

Unless...

No. That’s impossible. The only way anyone could be locked inside like this is if… they were inside their own memory simulation as well.

Her breath hitches. That human—the one N called Techie. There’s no way, right?

She snaps her head toward N and V. “Explain. Now. Who the hell was that technician?”

N shifts as his newfound memories resurface, "I know! That technician was—"

“An old friend,” V interrupts, her voice unusually subdued. Her optics don’t meet Uzi’s. "From before... everything happened."

V exhales sharply, glancing at Techie's lifeless form. "I wasn’t sure at first, but as I’ve spent time with them, I realized... That drone sitting in front of us? That’s that human."

Uzi’s eyes widen as V’s words sink in. Her voice rises into a near-shout. “And you didn’t think to mention that before I sent them into a memoryscape with that eldritch freakshow?!”

V doesn’t hesitate. Her chainsaw revs louder, the jagged blade stopping just short of Uzi’s throat. “Oh, I don’t know,” she growls, her voice dripping with sarcasm. “Maybe because you ambushed us and jammed yourself into our heads before I had the chance?”

Uzi swallows hard, glaring at V even as she leans back slightly from the weapon. “Fine. You make a good point.”

“Damn right, I do.” V lowers her weapon, but her glare remains sharp. “Now fix it.”

Not needing to be told twice, Uzi spins back to her computer, fingers flying over the keyboard as she desperately tries to regain control. Code floods the screen, scrolling too fast for her to process.

“Come on, come on…” she mutters, sweat beading on her forehead. Every second that bar inches forward, Techie’s chances of waking up shrink.

She grits her teeth and keeps typing. She has to fix this.

Light floods your vision. The sterile hum of fluorescent lights buzzes faintly overhead, and the scent of hot metal and solder fills your nose.

A workbench stretches out in front of you, scattered with tools, wires, and diagnostic equipment. Right. Your final exam—robotics training. You’ve spent weeks preparing for this, and now you’re almost done.

The test was simple in theory: repair a malfunctioning worker drone suffering from an assortment of mechanical and software issues. Simple. But under pressure? Not so much.

You tighten the last screw into place, sealing the drone’s back panel before setting the screwdriver down with a shaky breath. This should be it. You double-check the wiring, hoping you’ve done everything right. There’s only one way to find out.

Your finger hovers over the power button for a split second before pressing down.

The drone’s optics flicker to life. A soft whir fills the air as it boots up, standing upright before turning to face you.

“Hello!” it chirps, its voice light and pleasant.

Success.

A grin breaks across your face. You did it.

Your professor strides over, their sharp gaze scanning the drone as they run through a quick diagnostic check. They lift the drone’s arms, test its mobility, and check the interface for any lingering errors. After a moment, they nod in approval.

"Everything seems to be in perfect working order," they say, turning to you with an approving smile. "Excellent job. You pass with flying colors."

Relief washes over you. You exhale a breath you hadn’t realized you were holding, nodding in thanks as a few of your classmates glance over. Some are still deep in their own work, muttering under their breath as they struggle with their drones. Others shoot you brief looks—some impressed, others indifferent.

Not wanting to linger, you quietly gather your things. The exam is over for you, and there’s no point in sticking around. You sling your bag over your shoulder and make your way toward the door.

Just as your fingers brush against the handle, a loud clatter echoes through the room.

You turn on instinct. One of your classmates has just powered their drone on, and while it seems to function for the most part, something is clearly wrong. Its speech module is glitching, causing it to stutter and garble its words in a mess of static and half-formed syllables.

The student groans in frustration, their expression twisting into anger. "Ugh, stupid thing—"

Before anyone can stop them, they shove the drone off the table.

It crashes to the floor with a sickening crunch.

Without thinking, you rush over, grabbing the student by the arm and spinning them around. "What the hell is wrong with you?!" you snap, anger flaring in your chest. "You can’t just treat them like that!"

The student sneers at you, yanking their arm free. "Calm down. It’s just a hunk of metal," they scoff, rolling their eyes. "Besides, what do you care? You act like they’re people or something."

You clench your fists, heart pounding.

They laugh, shaking their head before shooting you a look of disgust.

"You really are a freak."

That phrase echoes in your mind as everything around you fades away—"You really are a freak."

Over and over again, through the black void.

You open your eyes, the soft sheets of your bed comforting as the morning sun peeks through the curtains. Today’s the day—you’ll be heading out of town for your new job. Some technician gig for a rich family out in the swamp. You’ve been looking for something like this for months, and the offer came out of nowhere, just like that! You didn’t even apply for anything—just created a profile through the JCJenson website, but you hadn’t had a chance to actually browse any listings.

You guess someone’s looking out for you after all.

Rising from bed, you stretch, shaking off the last remnants of sleep before turning your attention to packing. You double-check your suitcase, making sure you haven’t left anything important behind. Clothes, tools, personal items—it’s all here. Just as you’re about to close it, something small and round slips out from between your neatly folded shirts, rolling across the wooden floor with a soft clink.

You bend down, reaching for it. A small, smoky blue gemstone rests against the floorboards, catching the morning light. You pick it up, running your thumb over the smooth surface.

You’ve had this stone since you were a kid. It doesn’t hold any deep sentimental value—not really. You don’t even remember where you got it. But for some reason, you’ve always kept it close. A good luck charm, maybe. You can’t imagine ever parting with it.

You slip it back into your pocket, sighing in relief before zipping up your suitcase. Time to go.

You pick up your suitcase, gripping the handle tightly as you take a deep breath. It’s time.

With a steadying exhale, you step forward and open the door.

Only to find… nothing.

The hallway outside your room is gone, replaced by an endless, yawning void. Before you can react, the ground beneath you vanishes, and you plummet into the vast nothingness, the weightless sensation sending your stomach into your throat. You try to scream, but no sound escapes. Darkness swallows you whole.

You’re late.

You slept in.

Late for your first day of work at the Elliott’s.

How is this possible??

You throw the covers off and scramble out of bed, heart pounding as you yank on your clothes in a panic. Of all the ways to start this job, this is the worst. You barely have time to double-check yourself in the mirror before bolting out of your small basement room and up the stairs—

SMACK.

You collide with someone and nearly fall over, barely managing to steady yourself as they hit the ground.

A maid drone.

“Oh, crap, I’m so sorry—!” You quickly reach down and help her up, eyes wide with guilt. “I wasn’t looking where I was going, I—”

She dusts herself off, looking a little flustered but otherwise fine. “Oh, um, no, it’s okay! I-I was actually coming to wake you up.”

Wait.

You blink at her, confusion momentarily replacing your panic.

“My shift starts in—” You check your watch, only for your stomach to drop as you realize your mistake.

You read the time wrong.

You aren’t late.

Your face burns with embarrassment as you run a hand through your hair, letting out a breathless laugh. “Oh. Wow. Uh, sorry about that. Guess I freaked out over nothing.”

The maid drone giggles softly, her posture still a little stiff. “It’s alright. I was kind of worried you’d sleep through your alarm. I was the first one you met yesterday, remember? My name’s V.”

You pause.

Something about that name stirs something deep in your mind, like an old song you can’t quite remember the lyrics to. It lingers on the tip of your tongue, just out of reach.

But then V smiles at you—timid, polite, a little awkward.

And the strange feeling slips away.

You smile at her. “That’s really considerate of you, especially since we only just met.”

V’s posture stiffens slightly, her eyes flickering as she glances away. “Oh, um… it’s not a big deal or anything.” She fidgets, adjusting her maid uniform. “I mean, if you’re late, it affects the rest of us, too. It’s just in our best interest to check up on each other.”

You chuckle. “Still, I appreciate it. Really.”

Her gaze flickers back to you, uncertainty melting into something softer. “...Well, you’re welcome, then.”

You nod, adjusting your clothes. “I’m looking forward to working with you and everyone else.”

V’s lips twitch into a small smile. “I’d be happy to show you around, introduce you to the others.”

“That’d be great.”

She gestures for you to follow, and you take a step forward—

—but the world around you begins to melt.

Colors blur, shapes distort, the floor beneath your feet ceases to exist.

You don’t even have time to react before the memory crumbles away entirely.

You walk over and take the clipboard from V, scanning the list. It was surprisingly thorough—she’d noted everything from loose doorknobs to fading paint along the baseboards.

You smile at her, “I really appreciate your help with all of this, V. I don’t think I could get through it without you.”

She stiffens, her fingers twitching as she looks away. “I-it’s no problem, I don’t mind. Really.”

You chuckle and, on impulse, pat her head.

Error: Unexpected Affection Detected.

You show V how to make pancakes, guiding her as she stirs the batter. She nods eagerly, then accidentally mixes too fast—sending batter flying across the kitchen. Some splatters onto both of you. There’s a moment of stunned silence before you burst out laughing, V quickly following suit.

“Not too fast,” you place your hand lightly over hers to help steady her grip. “You don’t want to splash it everywhere.”

She freezes at the contact for a moment, her optics brightening slightly, but she doesn’t pull away. “Got it,” she murmurs.

The two of you sit side by side in front of a large window, gazing out at the endless night sky. The soft ambience of the mansion fills the silence, the glow of the stars reflecting in her optics. Your shoulders brush, and static electricity crackles between you.

“The moon is beautiful, isn’t it?” you murmur.

V glances at you, her expression unreadable—until a faint blush dusts her face.

“It is,” she says softly.

You lie in bed, your fingers intertwined with V’s as she reads to you. Her voice is steady, soothing, filling the quiet room with a warmth you can’t quite describe. The world outside doesn’t matter. Here, in this moment, you feel safe.

Warmth pools in your chest, unfamiliar yet comforting. Is this… love?

And then, just like everything else, these memories fade away.

You open your eyes as pain wracks your body. Agony is all you can fathom. Your gaze darts around the room, but you can’t move. You’re strapped to some kind of table, hooked up to a mess of wires and devices. The room around you is dimly lit, a run-down laboratory, cold and unfamiliar. You can’t even begin to question where you are—the pain is overwhelming, searing through every nerve like fire. It’s worse than anything you’ve ever experienced.

You force yourself to look down, instantly regretting it. A gaping wound mars your chest, torn open where that eldritch beast’s tendril had impaled you. The sight alone makes your head spin. How are you still alive? No—why are you still alive? Every attempted breath sends agony lancing through what remains of your ribs, and you open your mouth to scream, but nothing comes out.

Then, the door creaks open.

Your stomach drops as Cyn steps inside. She’s in her worker drone form, as if mocking you with her small, unassuming frame—like she hadn’t just torn your world apart. She tilts her head, smiling as she watches you struggle. “Cordial greeting. I see you are awake. Perhaps human medical technology isn’t useless after all.”

Something shifts behind her. Your eyes widen in horror as a slick, black tendril slithers from her back, lazily extending toward a console beside you. It presses a few buttons with unsettling precision, making the monitors flicker. Another tendril whips off to the side, dragging a gurney into view, carrying a powered-off worker drone, its lifeless body still on the cold metal cart.

Wires snake out from the machinery beside you, latching onto the drone like some grotesque experiment. You can only watch in silent agony, unable to move, unable to voice the fear clawing at your throat. Cyn steps closer, her neon-yellow optics gleaming with sick delight as one of her tendrils picks up a thick cable. At the end of it is a long, wickedly sharp needle.

She holds it up, almost playfully, before leaning in.

“Hold still. I do believe this has never been attempted, until now. Giggle.”

You try to resist, but some unseen force clamps down on you, stopping even the slightest movement of your head. Your body betrays you, locked in place as panic claws at your mind. You can only watch, helpless, as the tendril moves the needle behind your skull—out of sight, but not out of mind.

Cyn tilts her head, watching you with amusement. “Don’t worry. I am not finished with you. And you won’t remember any of this. Well, hopefully.” She lets out a small giggle, her gaze gleaming like a predator playing with its food. “Human minds are so much more fickle than drones.”

You barely have time to process her words before searing agony erupts through your skull. The needle drives deep, and a sensation like a lightning strike surges through your entire body. Every nerve ignites, every fiber of your being screams in protest as darkness swallows your vision. But the nightmare doesn’t end there.

Because while you may no longer see, you can still feel.

Pain unlike anything imaginable overtakes you as something indescribable is wrenched from your very core. Your mind—your self—is being torn away from the brain that has been yours since the moment you came into existence. You are being ripped from your own body. Thought ceases, coherence shatters, and all that remains is raw, unbearable agony.

And then, just as suddenly as it began—everything stops.

ADMINISTRATOR LOCKOUT: SUCCESSFULBEGINNING DISK CLEANUP||||||||||||||||||||||||||||||||||||||||||||||||||||||||||__ 94%

Uzi’s fingers fly across the keyboard, desperation fueling her rapid inputs as she fights against the process. Lines of code blur together as she forces command after command, trying anything to halt the inevitable. But the counter ticks up to 95%, unfazed by her efforts.

V’s patience shatters. She steps forward, optics burning with frustration. “That’s it. Send me in. Like you did with us.”

Uzi doesn’t even look up, still typing. “That’s a terrible idea.”

“I don’t care.”

“If you’re still inside when the process finishes, you’ll be erased too.” Uzi’s voice is sharp, but there’s a flicker of hesitation beneath it. “And as great as that might be,” she adds with biting sarcasm, “something tells me N won’t like that.”

V’s claws shoot out in a blur, stopping just short of Uzi’s throat. Her optics bore into the worker drone’s, raw with something Uzi doesn’t expect—desperation. “Let me try.”

For once, Uzi is speechless. She stares at V, weighing the risk, the sheer insanity of what she’s about to allow.

She exhales sharply and yanks a cable from the terminal, holding it out. “Fine. Plug yourself in.”

You sit in the void of your memories, a vast and endless darkness stretching infinitely around you. Faint echoes of experiences drift at the edges of your perception—things you know you've lived through, but they remain just out of reach, impossible to grasp. It’s all slipping away, unraveling like loose threads in a tapestry you can’t seem to hold together.

You blink, text appearing in your field of view once again:

A-S Backup Process Enabled.

Purging Incriminating Data

A soft giggle cuts through the silence.

Cyn stands before you, a cruel smile curling her lips as she takes in your broken state. You stare up at her, defeated. There’s nothing left to fight for. Nothing left at all.

She snaps her fingers.

V appears beside her—tall, imposing, her claws gleaming under an unseen light. Her fanged grin is sharp and cold, lacking any warmth.

“A shame my experiment failed,” Cyn muses, tilting her head. “You were quite intriguing to watch.”

V’s claws extend with a metallic shink, her optics narrowing as she sizes you up.

Cyn continues, her voice chillingly indifferent. “I pitied V enough to give you a chance, to be a tool for me just like her, but it’s clear you belong with everyone else—as part of me, the Solver of the Absolute Fabric.”

V lunges.

Her claws clamp around your throat, pinning you to the ground as she looms over you, fangs bared. You don’t fight. You don’t struggle. You don’t even flinch. You’re done.

But then—

V hesitates.

The pressure around your neck loosens. Instead of tearing into you, she lets go, pulling you back to your feet. Her claws retract as she gazes into your eyes, something unreadable flickering across her face.

“As fun as it would be to kill you,” she drawls, smirking, “I think that’d be rather anticlimactic, don’t you think?”

You blink. Confusion stirs in the emptiness of your mind. “What…? Why aren’t you—”

V groans, rubbing her temple. “You’ll get it in a minute.”

Without warning, she raises her arm, her hand shifting into a gun. She fires.

Cyn shatters in a burst of pixels.

Before you can even react, V grabs you by the shoulders, her expression urgent. “Listen to me—you need to snap out of it.”

You stare at her, the weight of her words not quite sinking in.

“You’re inside your own head,” she presses on. “Cyn’s rewriting you. She’s trying to make you forget everything.”

You try to respond, to ask her what she means, but she shakes her head. “No time for that.” Her grip tightens. “You have to remember. Remember me. Remember Uzi. Remember what’s happening in the real world!”

The void trembles. Cracks split through the darkness, revealing blinding white light beneath. The world around you begins to shatter, pixel by pixel.

V’s optics widen in alarm. “No, no, no—stay with me!”

Panicked, she grabs you by the arms and yanks you into a hug, holding you tight. “Come on,” she pleads, her voice almost breaking. “You have to remember—”

The pixels overtake you both.

V gasps as she is suddenly yanked from the simulation, the world around her dissolving into nothing. She flips around, fury already building in her chest—only to see N standing there, holding the cable that had connected her.

Her optics widen in horror. “What did you do?” she screams, her voice raw with disbelief.

She spins back toward Techie, still slumped in their chair, their optics flickering with a new message.

ADMINISTRATOR LOCKOUT: SUCCESSFULDISK CLEANUP COMPLETE||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| 100%

The silence that follows is suffocating.

Uzi stares at the screen, then at Techie’s motionless form. Her shoulders tremble, her expression caught between disbelief and devastation. She failed.

N shifts, gripping the cable tightly as if he can somehow undo what he just did. “V, I—I couldn’t let you get erased too,” he stammers, barely above a whisper. “Losing both of you would just be… too much.”

V barely hears him. She is already at Techie’s side, dropping to her knees as the weight of it all crashes down. Her fingers dig into their arms as she shakes them, harder and harder, desperation creeping into her voice. “I can’t do this,” she chokes out. “Not again. Not again!”

And then, Techie’s system reboots.

Their optics flicker, the dull glow returning as their head tilts slightly.

“Hello,” they say, their voice eerily neutral. “Are you my new coworkers?”

Silence.

Uzi and N don’t move. V can only stare.

Because she knows. They all know.

Techie is gone. Completely erased.

V sits back, her arms falling limply to her sides as she gazes at the drone before her—not them, just an empty shell, stripped of everything that made them Techie. All that remains is the default programming of a Worker Drone.

How ironic.

All the destruction she has wrought, all the pain she has caused—and this is how the universe chooses to punish her. Not with fire, not with death, but with loss. Loss of something she only just got back.

N had forgotten his past. But she never had. She remembered everything. She knows exactly what she has done. And yet…

Here she is.

With a slow, weary exhale, she rises to her feet.

She takes one last look at the drone sitting before her, their optics scanning the room in vague curiosity.

What’s the point in fighting anymore? Cyn will win. She always wins.

She reaches out, her hand trembling as she places it against their cheek. A tiny crackle of static sparks between them.

The moment their metal touches, Techie’s visor glitches, their entire body shuddering violently.

V steps back in shock as the drone collapses, crashing to the floor in a twitching heap.

Even in her last act of comfort, she’s managed to kill something. How tragically ironic.

Your optics flutter open as your systems jolt back to life, rebooting in a rush of energy. The world around you sharpens into focus, bright and overwhelming, as everything comes flooding back at once. It’s disorienting—the sheer weight of your memories crashing over you like a tidal wave. You try to sit up, your joints stiff and unresponsive at first, but you push through the discomfort. Blinking rapidly, you take in your surroundings.

Uzi and N are standing in front of you, their expressions twisted in confusion, eyes locked onto you as if they’re unsure whether to believe what they’re seeing. You glance past them, spotting V in the corner of the room. She isn’t looking at you. Instead, she stares off into space, her posture stiff, her face unreadable.

You turn back to Uzi, your voice hoarse and unsteady as you manage to speak. “Uzi? What… what the hell did you do to me?”

The reaction is immediate. Uzi’s eyes go wide, her whole body tensing. She sucks in a sharp breath, realization dawning in an instant—you remember her. Her shock is evident, but before she can respond, something else happens.

V moves.

Before you can react, she is suddenly in front of you, grabbing you by the shoulders and lifting you off the ground. The intensity in her yellow optics burns into you as she stares, searching your face with a desperate kind of urgency. “Techie?!” Her voice is sharp, demanding, almost frantic. She scans your expression as if looking for a glitch, for some kind of mistake.

Your body tenses at the sudden force, and you struggle slightly in her grip, groaning in protest. “Yes! It’s me! Please put me down.”

For once, she listens. She sets you down on your feet, a significant improvement over her usual habit of just dropping you. Your legs feel unsteady, but you manage to stay upright, adjusting to the sensation of simply being again.

V wastes no time. “Do you remember everything?” she asks, and something in her tone makes your systems freeze for a second.

Everything.

The word echoes in your mind, and suddenly, it all hits.

Your life—your entire life—rushes back to you in an instant, slamming into your consciousness with the force of a collapsing building. It’s overwhelming, the sheer amount of it, so much that it feels like your head might split open from the sheer pressure. Your time as a drone, your time as a human, all of it returns in a flood, every emotion, every experience, every loss, every joy. The weight of an entire existence, something you hadn’t even fathomed regaining, comes crashing down with relentless intensity.

You stagger slightly, your fingers twitching as you try to process the sudden influx of knowledge. It’s too much all at once, the past and present colliding in a way that makes your head spin. Every moment, every decision, every version of yourself that you thought was lost—it’s all here. You’re here.

And you have no idea what to do with it.

Your voice catches in your throat, your entire system struggling to process the sheer weight of what’s just returned to you. You force out a breath, trying to steady yourself, but even that feels like too much. "I... I remember..." The words are shaky, barely more than a whisper. "I remember everything..."

Your optics flicker slightly as a name slips from your mouth. "Cyn..."

At that, Uzi's entire posture shifts. Her expression tightens, and a look of realization flashes across her face. It’s like she had momentarily forgotten why any of this was happening—why they had gone through all of this in the first place. But now, with that single name spoken aloud, it all comes rushing back.

"Nope," Uzi says, cutting off whatever breakdown you’re about to have. "We’re putting the 'my entire life is a lie' crisis on hold. We need to leave. Now."

You barely have time to react before a glow ignites around her hand. That same energy surges outward, wrapping around you before you can so much as blink. The room distorts, reality twisting and folding in on itself, the world around you shattering like a fractured mirror. The force nearly knocks you off your feet as everything warps.

Then—nothing.

Except cold.

Your optics adjust to the sudden change in lighting, and you realize you’re no longer inside. The facility, the walls, the floor—all of it is gone. Instead, you're standing outside, the frozen wasteland of Copper-9 stretching out in every direction. Ice crunches beneath your feet, the wind biting against your frame. The brutal cold is nothing new, but the suddenness of it leaves you reeling.

You barely have time to process what just happened before you see them.

Standing in front of you, unmistakable even through the swirling snow, is Doll. Next to her is J—her arms crossed, her expression unreadable. And beside them...

A woman.

You don’t recognize her. She’s clad in a space suit, her helmet obscuring most of her features, but there’s no doubt about it, she’s human.

Your mind races, trying to grasp onto something—anything—that could make sense of this. Your eyes dart to the nametag on her chest.

Tessa.

What the actual hell is happening?

#murder drones #murder drones x reader #murder drones fanfic #murder drones headcanon #murder drones v x reader #murder drones v #serial designation v

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mariacallous · 3 months ago

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The Trump administration, working in coordination with Elon Musk’s so-called Department of Government Efficiency, has gutted a small federal agency that provides funding to libraries and museums nationwide. In communities across the US, the cuts threaten student field trips, classes for seniors, and access to popular digital services, such as the ebook app Libby.

On Monday, managers at the Institute of Museum and Library Services (IMLS) informed 77 employees—virtually the agency’s entire staff—that they were immediately being put on paid administrative leave, according to one of the workers, who sought anonymity out of fear of retaliation from Trump officials. Several other sources confirmed the move, which came after President Donald Trump appointed Keith Sonderling, the deputy secretary of labor, as the acting director of IMLS less than two weeks ago.

A representative for the American Federation of Government Employee Local 3403, a union that represents about 40 IMLS staffers, said Sonderling and a group of DOGE staffers met with IMLS leadership late last month. Afterwards, Sonderling sent an email to staff “emphasizing the importance of libraries and museums in cultivating the next generation’s perception of American exceptionalism and patriotism,” the union representative said in a statement to WIRED.

IMLS employees who showed up to work at the agency on Monday were asked to turn in their computers and lost access to their government email addresses before being ordered to head home for the day, the employee says. It’s unclear when, or if, staffers will ever return to work. “It’s heartbreaking on many levels,” the employee adds.

The White House and the Institute of Museum and Library Services did not immediately respond to requests for comment from WIRED.

The annual budget of IMLS amounts to less than $1 per person in the US. Overall, the agency awarded over $269.5 million to library and museum systems last year, according to its grants database. Much of that money is paid out as reimbursements over time, the current IMLS employee says, but now there is no one around to cut checks for funds that have already been allocated.

“The status of previously awarded grants is unclear. Without staff to administer the programs, it is likely that most grants will be terminated,” the American Federation of Government Employee Local 3403 union said in a statement.

About 65 percent of the funding had been allocated to different states, with each one scheduled to receive a minimum of roughly $1.2 million. Recipients can use the money for statewide initiatives or pass it on to local museum and library institutions for expenses such as staff training and back-office software. California and Texas have received the highest allocated funding, at about $12.5 million and $15.7 million, respectively, according to IMLS data. Individual libraries and museums also receive grants directly from IMLS for specific projects.

An art museum in Idaho expected to put $10,350 toward supporting student field trips, according to the IMLS grant database. A North Carolina museum was allotted $23,500 for weaving and fiber art workshops for seniors. And an indigenous community in California expected to put $10,000 toward purchasing books and electronic resources.

In past years, other Native American tribes have received IMLS grants to purchase access to apps such as Hoopla and Libby, which provide free ebooks and audiobooks to library patrons. Some funding from the IMLS also goes to academic projects, such as using virtual reality to preserve Native American cultural archives or studying how AI chatbots could improve access to university research.

Steve Potash, founder and CEO of OverDrive, which develops Libby, says the company has been lobbying Congress and state legislatures for library funding. “What we are consistently hearing is that there is no data or evidence suggesting that federal funds allocated through the IMLS are being misused,” Potash tells WIRED. “In fact, these funds are essential for delivering vital services, often to the most underserved and vulnerable populations.”

Anthony Chow, director of the School of Information at San José State University in California and president-elect of the state library association, tells WIRED that Monday was the deadline to submit receipts for several Native American libraries he says he’d been supporting in their purchase of nearly 54,000 children’s books using IMLS funds. Five tribes, according to Chow, could lose out on a total of about $189,000 in reimbursements. “There is no contingency,” Chow says. “I don’t think any one of us ever thought we would get to this point.”

Managers at IMLS informed their teams on Monday that the work stoppage was in response to a recent executive order issued by Trump that called for reducing the operations of the agency to the bare minimum required by law.

Trump made a number of other unsuccessful attempts to defund the IMLS during his first term. The White House described its latest effort as a necessary part of “eliminating waste and reducing government overreach.” But the president himself has said little about what specifically concerns him about funding libraries; a separate order he signed recently described federally supported Smithsonian museums as peddling “divisive narratives that distort our shared history.”

US libraries and museums receive support from many sources, including public donations and funding from other federal agencies. But IMLS is “the single largest source of critical federal funding for libraries,” according to the Chief Officers of State Library Agencies advocacy group. Libraries and museums in rural areas are particularly reliant on federal funding, according to some library employees and experts.

Systems in big metros such as Los Angeles County and New York City libraries receive only a small fraction of their budget from the IMLS, according to recent internal memos seen by WIRED, which were issued in response to Trump’s March 14 executive order. "For us, it was more a source of money to innovate with or try out new programs,” says a current employee at the New York Public Library, who asked to remain anonymous because they aren’t authorized to speak to the press.

But the loss of IMLS funds could still have consequences in big cities. A major public library system in California is assembling an internal task force to advocate on behalf of the library system with outside donors, according to a current employee who wasn’t authorized to speak about the effort publicly. They say philanthropic organizations that support their library system are already beginning to spend more conservatively, anticipating they may need to fill funding gaps at libraries in areas more dependent on federal dollars.

Some IMLS programs also require states to provide matching funding, and legislatures may be disincentivized to offer support if the federal money disappears, further hampering library and museum budgets, the IMLS employee says.

The IMLS was created by a 1996 law passed by Congress and has historically received bipartisan support. But some conservative groups and politicians have expressed concern that libraries provide public access to content they view as inappropriate, including pornography and books on topics such as transgender people and racial minorities. In February, following a Trump order, schools for kids on overseas military bases restricted access to books “potentially related to gender ideology or discriminatory equity ideology topics.”

Last week, a bipartisan group of five US senators led by Jack Reed of Rhode Island urged the Trump administration to follow through on the IMLS grants that Congress had authorized for this year. "We write to remind the administration of its obligation to faithfully execute the provisions of the law," the senators wrote.

Ultimately, the fate of the IMLS could be decided in a showdown between Trump officials, Congress, and the federal courts. With immediate resolution unlikely, experts say museums and libraries unable to make up for lost reimbursements will likely have to scale back services.

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ashadowofburnedoutstardust · 5 months ago

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So the whole reason that Instagram has hooked in with tiktok has been to help the Trump administration and the US government suppressed the right to freedom of speech in America

And you people want to talk about freedom, you don't fucking have any anymore

See here's the thing, byte dance is a foreign based investment by the US government used to help train AI software to help identify faces in video much more effectively

That's all tiktok was for, a training program to help American surveillance identify faces using social media

And the only thing they're going to use it for is to attempt to control the population

I honestly suggest you start shooting your politicians and replacing them with new ones

Because then they can enable martial law and control your movements

Why do you think they have the bot out there trying to make people emotional and reactive?

It's to get you to react in a way that justifies as them trying to shut you down

I can only imagine what's going to happen in America once they try to take away firearms, considering they've just violated the right to free speech I would hazard a guess it's not far off

Although I do wonder if America has taken into account just how upset its supposed allies will be....because not everybody agrees with them, maybe to their face, but not behind closed doors

#tiktok #tiktok ban #tiktok blip

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netra-n8tra · 7 years ago

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NAVIGATING PROJECT MANAGEMENT IN THE AEC INDUSTRY

Navigating Project Management in the AEC industry involves a series of interconnected tasks that require effective planning, execution, monitoring, and control. By following best practices and leveraging project management methodologies such as APM, SCRUM, KANBAN, or the Traditional WATERFALL Project Management Methodology, the AEC professionals can successfully deliver complex projects while meeting stakeholder expectations and achieving project objectives.

As an architectural manager with a Master of Architecture degree and an architectural engineering degree from reputable institutes, having experience in project and design management for large-scale commercial facilities, multi-story offices, and high-rise administration buildings, I can provide the necessary artifacts to enhance project success, improve team collaboration, and effectively handle project complexities in the architecture, engineering, and construction (AEC) sector.

1. Set Clear Goals and Objectives:

Define project scope, including deliverables and constraints.

Establish SMART (Specific, Measurable, Achievable, Relevant, Time-bound) goals.

Align goals with stakeholder expectations and project requirements.

Obtain buy-in from key stakeholders on project objectives.

2. Develop a Comprehensive Project Plan:

Create a detailed work breakdown structure (WBS) to organize project tasks.

Define project milestones and dependencies.

Develop a project schedule with timelines and resource allocation.

Identify risks and develop a risk management plan.

Establish a budget and financial plan for the project.

3. Foster Effective Communication:

Establish communication channels and protocols for project team members.

Hold regular project meetings to discuss progress, issues, and updates.

Use clear and concise language in all communications.

Encourage open and transparent communication among team members.

Address communication barriers and conflicts promptly.

4. Embrace Technology and Communication:

Utilize project management software for task tracking and collaboration.

Implement communication tools such as emails, instant messaging, and video conferencing.

Leverage cloud-based platforms for document sharing and version control.

Provide training and support for team members on project management tools.

Stay updated on new technologies and tools to improve project efficiency.

5. Manage Change Effectively:

Establish a change control process to evaluate and approve changes to project scope.

Communicate changes to stakeholders and assess their impact on project objectives.

Update project documentation and plans to reflect approved changes.

Monitor changes to prevent scope creep and ensure project alignment with goals.

Evaluate the risks and benefits of proposed changes before implementation.

6. Foster Collaboration and Teamwork:

Encourage team members to share ideas, feedback, and best practices.

Foster a collaborative work environment that values diversity and inclusivity.

Promote team building activities and recognize team achievements.

Facilitate cross-functional collaboration and knowledge sharing.

Resolve conflicts and promote a positive team culture.

7. Continuously Monitor and Evaluate Progress:

Track project performance against key performance indicators (KPIs).

Conduct regular project reviews to assess progress and identify areas for improvement.

Monitor project risks and issues and take corrective actions as needed.

Evaluate project outcomes against initial goals and objectives.

Use lessons learned to make informed decisions and optimize project performance.

By focusing on these subtasks within each point, project managers can enhance project success, improve team collaboration, and effectively manage project complexities in the Architecture, Engineering, and Construction (AEC) industry.

Sonetra KETH (កេត សុនេត្រា) •Architectural Manager, Project Manager, BIM Director •建築師經理, 專案經理, BIM總監 •Giám đốc kiến trúc, Giám đốc dựán, Giám đốc BIM •RMIT University Vietnam + Institute of Technology of Cambodia

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justinspoliticalcorner · 4 months ago

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Jason Wilson at The Guardian:

A rightwing non-profit group that has published a “DEI Watch List” identifying federal employees allegedly “driving radical Diversity, Equity, and Inclusion (DEI) initiatives” is bankrolled by wealthy family foundations and rightwing groups whose origins are often cloaked in a web of financial arrangements that obscure the original donors. One recent list created by the American Accountability Foundation (AAF) includes the names of mostly Black people with roles in government health alleged to have some ties to diversity initiatives. Another targets education department employees, and another calls out the “most subversive immigration bureaucrats”. The lists come amid turmoil in the US government as Donald Trump’s incoming administration, aided by Elon Musk, the world’s richest man, has sought to fire huge swathes of the federal government and purge it of DEI and other initiatives – such as tackling climate change – that Trump has dubbed “woke”. While the publication of the personal details of government workers – whom the website describes as “targets” – has reportedly “terrified” many in federal departments, the Guardian has discovered that some current and former employees of AAF have taken pains to conceal their affiliations with the group on LinkedIn and other public websites.

One of the donors to the AAF is the Heritage Foundation, the architects of Project 2025, which has been a driving ideological force behind Trump’s re-election and first weeks in government. Heidi Beirich, the chief strategy officer of the Global Project Against Hate and Extremism (GPAHE), said: “It’s not surprising to find a vile project such as this backed by Project 2025 entities and far-right donors who have it out for public employees.” Disclosure documents show that the AAF has been closely involved in training Republican staffers in collaboration with the affiliated Conservative Partnership Institute, in sessions that promise to train rightwing operatives in skills including “open source research” and “working with outside groups”.

[...]

‘Incubated’ by the Conservative Partnership Institute

The most crucial support for AAF, however, has come from the organization that birthed it: the CPI, which continues to have a profound influence on the Trump administration and the Republican party as a whole via its own activities and those of its flotilla of spin-off groups. AAF was founded in 2021 to “take a big handful of sand and throw it in the gears of the Biden administration”, as Tom Jones, the organization’s head, told Fox News at the time. [...]

Moulding Maga minds

The Guardian reported last year that CPI had been cementing ties between the far right and the GOP by means of training events for Hill staffers and their bosses in Congress. Many of these events were held at “Camp Rydin”, a sprawling 2,200-acre (890-hectare) property on Maryland’s eastern shore purchased after a $25m donation was made to CPI by its namesake, retired Houston software entrepreneur Mike Rydin, in the wake of January 6. Others were held at one of at least nine adjacent properties on Washington DC’s Pennsylvania Avenue purchased by CPI since 2022, in what reports described as a $41m “shopping spree” that has created a “Maga campus”. CPI literature describes the precinct as “Patriot’s Row”. Records obtained from US Senate and House ethics disclosures indicate that AAF has benefited from being front and center at many of these events. At a 29 May 2024 “Legislative Assistant Symposium” attended by staffers then working for senators including Josh Hawley, Marco Rubio, Ted Cruz and JD Vance, AAF’s Jones was billed as speaking on “strategies for how Congress should approach oversight and accountability”, alongside speakers from CPI, AFL, Advancing American Freedom and anti-immigrant group NumbersUSA. A parallel event with the same line-up drew staffers for hard-right Maga representatives including Anna Paulina Luna – who recently introduced a bill that would see Trump’s face added to Mount Rushmore – and Paul Gosar, who in November invoked antisemitic conspiracy theories in a newsletter defending Tulsi Gabbard, Trump’s pick to lead national intelligence. NumbersUSA was part of a network of groups “founded and funded” by John Tanton, whom the Southern Poverty Law Center called the “puppeteer of the nativism movement and a man with deep racist roots”. At an event held 15-17 February 2023, hosted by AAF and attended by staffers for Congress members including Luna, Ken Buck and Marjorie Taylor Greene, trainees were to learn skills including “how to effectively draft requests for information from agencies and witnesses”, “tools and techniques for conducting open source research into agencies, individuals, and organizations”, and conducting “mock interviews with reluctant / recalcitrant witnesses”.

[...]

Dirt machine

The dirt machine now targeted at government workers was honed on higher-profile targets during the Biden administration. Early on, AAF pointed its opposition-research machine at Biden nominees including Saule Omarova, nominated for comptroller of the currency; Sarah Bloom Raskin, nominated for vice-chair for supervision of the Federal Reserve Board, and Ketanji Brown Jackson, supreme court justice, whom the organization falsely claimed had been soft on sex offenders.

The Guardian reports on how a shadowy far-right group of donors are funding American Accountability Foundation’s watchlists, such as the “DEI watchlist.”

#American Accountability Foundation #Project 2025 #Donald Trump #Trump Administration II #Conservative Partnership Institute #DEI #NumbersUSA #Mike Rydin

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quibble-auk · 2 months ago

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@thebrokenmechanicalpencil

I finally did it. All of the boys get to be together again. Isn’t that wonderful? Aren’t we so happy about that?

Don’t you just love killing off characters so you can feel some semblance of closure for the story. Like yes, it’s finally done. But it’s not, I’ve still not written or explained half of it.

But I know how it ends. :D

Yeah, I didn’t proofread it, sorry for any errors. And I’m praying that the pacing is alright and everything makes sense.

—

Warnings!!!

Real shocker there’s death.

—

The small office Jeopardy sat in was dark. Any light the moon might have offered through the narrow window was shunned by the closed blinds, casting the room in a heavy gloom. The only illumination came from a dim desk lamp and the sterile glow of a bright monitor. Music lulled in through transported speakers, faint and delicate.

It wasn’t Jeopardy's usual workspace. He had been relocated to the north wing of the hospital when the mysterious plague first broke out—a wing hastily converted into a quarantine zone, where the sick and the dying were kept away from the rest of the population like forgotten ghosts.

Jeopardy was among the first medical officers exposed to the new virus, something that at first seemed like a minor anomaly—some strange mechanical hiccup, degenerating and corroding plating and accompanied by faulty joints. He had been mid-operation, performing a complex joint transplant on what became Patient Zero, when the mech had suddenly offlined. No warning, no instability in the vitals—just silence and a blinking red error across the interface.

At the time, he and his colleagues had chalked it up to a hardware failure due to negligence. But within hours, more patients began to fail in similar ways. Not just malfunctions—systems were shutting down without traceable causes. There was no identifiable strain, not one that they could recognize anyway. They weren’t equipped to identify viruses like this, plagues had been eradicated long before the war began.

But entire wards had been locked down within days.

Now reassigned to the infected wing, Jeopardy found himself behind containment barriers, technically quarantined though not incapacitated. They had no choice—he had already been exposed, and though mostly asymptomatic, no one could say for certain what that meant anymore. The virus wasn’t behaving predictably. It didn’t spread like a pathogen or function like a software bug. It was something in between, and that made it all the more terrifying.

Though Jeopardy’s field had nothing to do with virology or infectious disease—he was a reconstructive mech-surgeon by training—they couldn’t risk transferring him back to his old post. It wasn’t just about protecting others. It was also because, deep down, the hospital administration understood they needed every capable mind available in the isolation zone.

And it wasn’t like Jeopardy was unfamiliar with this kind of medical work, the old mech had been around long enough that he knew how to work in other fields. He had dabbled in all kinds of medical work during the war, and even after it. Not to mention he had treated plenty of diseases and viruses for his organic companions, the descendants of his old friend Cometeater, a Pretender. This knowledge of infectious diseases did give him an advantage over his colleagues.

Jeopardy supposed that was why he was spending so many sleepless nights pouring himself into his work. His time was running short, the plating on his chest already starting to discolor—it meant he was entering into the third stage of infection—he needed to find a cure.

He hadn’t told anyone about the discoloration.

Not yet.

The pallid corrosion spreading across his chestplate was easy enough to cover up with some paint and the occasional joint stiffness he passed off as old age. It wasn't a total lie—Jeopardy was old. His frame was an outdated model, patched and upgraded over the decades, more scrap and memory than anything off a modern assembly line. But the creeping disintegration along his core systems wasn’t age. It was the virus, carving through him like rust with purpose.

Jeopardy watched the simulation run a few more times, let the computer analyze and run tests on the samples he had collected. He clicked the reanalyze button and leaned back, absently tapping along to the beat of the song that played faintly in the room. He sucked in a breath, holding it as the results slowly loaded onto the screen in front of him. He would need to do more personal verification but he had run the machine and gotten a green “cured” result three times now.

He stared at the blinking green word—CURED—his optics narrowing as if willing it to stay true. Three times now. Three separate samples. Three different infection stages.

But he didn’t let himself hope. Not yet.

Jeopardy leaned back in his chair, the joints in his shoulders groaning with the motion. He’d run enough simulations during the war to know how easily false positives could slip through. Especially when the virus in question didn’t behave like anything catalogued before. Still, the samples were stabilizing. Corrosion halted. Regeneration markers returning to baseline. It wasn’t just a patch—it was reversal.

A cure.

He let the breath out slowly, his chassis vibrating faintly with the motion. His plating quivered despite himself. It was a fragile victory, not yet real. Not until he could reproduce it in a physical subject.

The medic let himself smile regardless, it was still progress and the closest thing they had. He plugged in a data chip, quickly downloading the data before continuing with his tests—Jeopardy has had his data accidentally wiped due to a crash too many times to let something like this go unsaved on a personal file. He hummed along to the music as he began to write more diagnostics. He scooted his chair across the long desk and fiddled with some machinery as he prepared for more in depth tests.

A flicker of movement in the reflection of a dim screen caught his eye.

Almost instinctively his medical scanners flared to life. While it wasn’t their technical purpose, Dropmix had taught him ages ago that he could use his integrated scanners for identifying other mechs—similar to how a guardian frame’s scanners worked—and it had become a habit. He reached out, searching for spark signatures around the room absently. It was late, but possible for a nurse to have slipped in to check on his progress or converse.

There was no spark signal, however, nor heat signature.

Jeopardy went back to his work, imputing some data before letting the machine whir to life. It hummed as it began running scanning for more detailed results. The medic continued his quiet humming as he pushed himself back to his monitor, pulling up a blank report to start filling out with his findings.

The cursor blinked on the blank report, waiting for his input, but Jeopardy didn’t start typing. Not right away. He had heard a small tapping noise, slightly off beat from the music, he looked down at his still fingers. He wasn’t attempting to tap along with the rhythm, someone else had to be—but the noise was padded, it didn’t belong to a metal hand of a mech.

He let his heat sensors surge out again, seeking the darkness for any sign of organic life while he kept his attention on the screen before him. There were no hot spots that would indicate another presence in the room—not of a traditional organic anyway. Jeopardy pulled his plating tight against himself for a moment, sucking in a breath as he narrowed his eyes.

In a single fluent motion he spun the chair around slowly, optics moving over the dark room in search of anything out of place. The shadows in the room didn’t move, didn’t shift. Jeopardy frowned, hand moving slowly to pull the data chip out of the computer's port and stash it in the small toolbox of his wrist.

He stood.

Jeopardy’s hand rested on his side, over where his pistol sat—Dropmix’s pistol, one that he had found stashed away that was disguised as a medical tool. It was a bit large but it got the job done. He looked around the room again, scanners seeking for something.

The medic knew that tension was high between Cybertronians and other species in the galactic council, they always had been, but recently there had been news of a potential threat. Jeopardy along with a few of his colleagues had begun to suspect that the current virus they were dealing with could have been synthesized by this other race. If Jeopardy was getting close to a cure there was reason to believe that he could be targeted.

The other race was reptilian by nature, cold blooded. They wouldn’t show up as hot spots on heat sensors, they wouldn’t show up at all, their body temperature would match their surroundings. They would be undetectable to all of his medical scanners.

Jeopardy pulled his pistol out, keeping the disguised weapon held downwards in case someone walked in—his scanners informed him there was currently no one close to the office. There was no one to interrupt. Jeopardy took a hesitant step forward, plating flaring defensively as he looked around the room again. Organics were typically small and easy to look over and there were plenty of places to hide in the office.

He scanned the room one more time, this time not with tech, but with instinct. He had learned over the years that no amount of calibration or sensor strength could replace the simple feeling of being watched. And right now, that feeling crept over his frame like nanomites.

The weapon in his hand warmed slightly, ready to power up at a moment's notice. The desk, the cabinets, even the ventilation shaft above the sealed maintenance closet—all places someone could hide, especially if they were trained. Or worse, if they were patient. The medic flinched as the equipment next to him dinged softly, the results were done.

Jeopardy should know better than to turn his back on a device that would give a small organic cover. He blinked, plates pressing tightly against him and cold dread washed over him, he lifted the pistol up, clicking the safety off with a practiced ease. His spark thrummed in his chest and his finger absently tapped out an old lullaby on the side of his gun. He didn’t have time to panic or let his anxiety get the best of him.

It was too soon for the results to be done.

Someone had stopped it from scanning.

The medic twisted around, raising his pistol to the level of the device and firing at the dark figure that stood next to it on the desk. The loud ring of gunfire echoed in the room, rattling his plates and making a small tremor run through his hands. He flinched, Jeopardy had never liked to fight, he never wanted to hurt others. But he needed to protect what he had discovered or more mechs would die.

The dark figure crumbled, the scent of burning flesh sat thickly in the back of Jeopardy’s throat and he fought the urge to gag. He let out a shaken breath, tapping the lullaby and humming to himself as he tried to calm himself. His hands shook as he stared at the small organic now laying still on the desk.

His vents hitched as his plates shivered. Jeopardy swallowed thickly, forcing himself to take a step towards the broken body. Guilt was already eating away at his spark, a strained whine escaping his throat as he looked at the still form.

He had killed them.

Jeopardy felt sick, his chest aching as his fingers numbed. The medic lowered his pistol, flicking the safety back on and let his frame shake with stressed, silent cries. He had killed before but it never became easier. He still hated it. His medical programs surged to life, already infringing him of the damage he had caused.

He didn’t have time to mourn the loss any further.

A whisper of air moved behind him.

Too soft for servos. Too measured for machinery. It came not from the vents or his overworked systems but from the subtle shift of weight on metal flooring—bare flesh against steel.

Jeopardy’s optics widened. He turned—

—but not fast enough.

A sharp crack! rang out, impossibly loud in the cramped, silent room.

The old mech yelped as pain lanced through his side, right under his auxiliary plating. The weapon was small, silent, and surgical in its intention. Not designed to destroy—designed to incapacitate. Disable.

Electricity surged through his systems, his plates flared out as his vents hitch painfully. Heat and discomfort raced over his lines and he staggered, gasping out and reaching to brace his faltering body on the desk. He tried to flick the safety of his gun off again, but his fingers weren’t responding correctly, they shook and kept locking up. Panic sprang through him, making his spark skip and thrum even louder in his constricting chest. The medic grit his teeth and looked at the source of the weapon.

The hooded figure fired another round, this time it landed on Jeopardy’s chest, right next to where a red “x” had been painted on to show that he had been exposed. Jeopardy cried out again, pain rippling through his systems. His joints locked mid-motion as the round burrowed deep, its contents flooding through his internal systems like acid through old pipes.

Jeopardy staggered forward, his hand loosening on the pistol as his knees hit the ground with a brutal clang. His optics flickered violently, vision narrowing to a red-tinged tunnel. His systems screamed at him—an internal alarm louder than the gunshot itself—but his limbs wouldn’t respond. Warnings flared across his hud, his vents wheezing with stress.

He crumpled to the ground, hissing in pain as he looked around for his aggressor. His spark was impossibly loud, his plates quivering violently as panic settled within his chest.

Another splintering crack rang out and this time Jeopardy’s computer was the target. Any information on it was lost as it burst into an electrical flame, systems overheating and failing. It sparked as metal and plastic alloys warped to the heat.

There was only one copy of the cure left.

Jeopardy’s optics tried to focus through the error haze, HUD alerts crowding his vision with red and white symbols. Critical system failure imminent. Neuro-signal degradation at 37%. He ignored them, forcing his servos to twitch. He still had the failsafe under the desk. The gunshots must have been heard elsewhere in the hospital. He could still—

The assassin crouched beside him.

They didn’t say anything, their slitted eyes quickly examined Jeopardy’s seizing frame. He groaned weakly, attempting to pull away from the attacker but his limbs remained useless and unresponsive. The medic could feel his energon hit and slick below him, painting his chest and the ground a sickly magenta.

The organic reached out, two fingers delicately brushing against the slot on Jeopardy’s wrist. It knew where the data chip was—a total wave of fear washed over Jeopardy as he struggled to pull his wrist away. His movement was too slow, too sluggish and weak to get it out of the other’s grasp. He whined, vocalizer clicking and chirping uselessly as he failed to form words.

The assassin's fingers slid over the edge of Jeopardy's wrist compartment with a precision that made his plating crawl. A soft click. A hiss of depressurization. The compartment opened—too easily.

The chip was exposed.

No—no, no, no.

Jeopardy’s entire body screamed with effort as he forced his good arm to twist, to clamp down over the slot, protect it—anything. But his servos only jittered uselessly. His fingers twitched like dying organics.

The organic was going to take it—Jeopardy was going to lose his one chance to save people.

The assassin didn’t hesitate.

Their hand darted in, prying the chip loose from Jeopardy’s wrist with an efficiency born of practice. They held it up to the low lamplight, narrow eyes glinting as they turned it between their fingers. The soft hum of the hospital’s power grid and the faint music still bleeding through the speakers were the only sounds filling the silence.

Jeopardy gurgled, trying to rise. His frame jerked once—twice—then failed, sagging with a heavy creak as sparks danced along his spine. His processor lagged, struggling to maintain control over basic systems. More clicks escaped him, another pained whine joined the abstract noises. He had lost, they had the cure.

More mechs would die—his mechs, the ones he had trained and cared for, his colleagues and peers, possibly even the Pretenders he had spent his lifetime watching over.

He couldn’t let them destroy that chip.

Not while he still had a functioning spark.

With a final desperate act, Jeopardy accessed the hardwired emergency override in his core—an ancient, wartime backup system buried beneath years of upgrades and adjustments. It wasn’t elegant. It wasn’t fast. But it was brutal.

A harsh grinding whir erupted deep inside his chest as a jolt of raw energy surged through his failing frame, overriding safeties, bypassing locked systems. His HUD flickered violently, momentarily blanking to black. When it returned, the alerts were still there—but dimmer, distant. He had seconds, maybe less.

With a rasping groan, Jeopardy's arm moved—not much, but enough. He twisted his arm, plates spasming as he moved, the assassin didn’t expect him to move. They didn’t react fast enough. They yelped as his hand crashed into their side, pressing them into the ground brutally. A pained scream escaped their scaly lips as Jeopardy forced himself to move, shifting his weight to his arm, to the hand that was pressed flat against the smaller creature’s chest.

The mech cut off his optics, reworking the power to his movement. He could hear something pop and crack beneath his hand, the organics pained wheezing breaths as its chest was compressed under the weight of his hand. Jeopardy tried not to think about it as another scream split the air. The medic choked on nothing, his spark skipping at the sound. Grief seized his chest and guilt swamped his panicking mind.

He ignored it.

Just a little more.

The assassin clawed at his wrist, trying to twist away, but Jeopardy's arm locked like a vice. His own pain was blinding—his circuits burning, his memory caches fragmenting—but he didn’t let go. Couldn’t. He was running on pure instinct now, muscle memory from a war long past and a promise he had once made to never stand by while others suffered.

The data chip was still in the assassin’s hand.

Jeopardy’s optics flickered open again, staticky and dim. His HUD was barely functioning now, warning banners sluggishly sliding across his vision. The world was a blur of dim lamplight and the ugly, rapid pulse of the intruder’s heartbeat. He could see it in the soft flesh of their throat. Could hear it. Could feel it.

With the last of Jeopardy’s strength he grunted and pressed down even more. The organic screamed again—louder this time—as a sick crunching noise rattled through Jeopardy’s frame. The mech whimpered at the noise, eyes closed tightly as he let himself fall limp. Guilt ate at his core, he could feel the organic’s blood stick to his plating, thick and foul smelling. Jeopardy shuddered, a pained cry escaping him.

The assassin didn’t move again.

The room fell into silence, save for the fading echo of the scream, the soft, rattling vents of the medic’s own failing systems, and the gentle lulling of music, deceptively calm.

Jeopardy stayed like that, slumped over the still form, the crackling hiss of damaged circuitry rising from his joints. His body trembled from the strain, from the residual current still arcing through his limbs. The override had bought him a few seconds—nothing more—and now the backlash was arriving in waves. His chest plating was blistering from the heat, inner coolant lines ruptured and leaking. Smoke curled from one of his side vents.

But the chip was still in the room.

When a nurse came in to check on him they would find it, the cure was still theirs. There was still hope.

Jeopardy hadn’t failed.

His vision dimmed further, and though his limbs were dead weight, his spark—weak and sputtering—still pulsed steady. Faint, but not extinguished. The data chip, slick with organic blood and smudged with soot, had slipped from the assassin’s hand in their final moments. It now rested just beneath Jeopardy’s outstretched arm, the glint of its casing catching the flickering desk lamp like a beacon.

He should have been afraid of the ever creeping darkness in the back of his mind, he had been for so long—the idea of dying had terrified him, there was still too much to do. But he was older now, more tired, dare he admit it, Jeopardy was ready. He hadn’t failed, he had earned his rest. Just like Dropmix had, and Coo and Cometeater, the twins, like all of the mech’s old friends had.

Jeopardy weakly smiled to himself, his vision finally fizzling out into darkness as his optics failed. The music was nice and slow, gently whispering to him, keeping him company. He didn’t have the energy to hum along, or tap. For a moment he could have sworn he could hear a different melody being tapped into his plates—which had gone strangely numb—an old lullaby Jeopardy knew too well.

He could hear Dropmix humming softly, feel his heavy hand on his shoulder, fingers tapping gently on his plating. Just like he had done countless times before, slowly lulling Jeopardy off to sleep.

And so, Jeopardy slept.

#transformers #transformer oc #concepts #oc writing #transformers writing #jeopardy #Comet is mentioned #and pretenders #both of those are not mine #just Jeopardy and Dropmix #yeah #he’s dead now too #isn’t that great?#angst #tw death #this is payback for killing Comet #it took forever but it happened #but now they get to be happy together #I also have no idea what the reptile aliens look like so I never describe them #also Jeopardy still hates killing things #but he had his medical violence permit approved so he’s allowed to throw things now #and shoot people #this is based off of another contemplated version of the plot #but I thought about it for a day and decided against it #I’m just talking down here tbh. it’s nothing important #hopefully this was alright.#just having thoughts because I realized that I accidentally gave Jep a more violent death than both Dropmix and Comet #they just died in their sleep #Jep got shot twice. why do I do this to him?#im praying that the pacing was good

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maaarine · 1 year ago

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English Just 'Badly Pronounced French', Paris Academic Says (Tom Barfield, Barron's, March 09 2024)

"French linguist Bernard Cerquiglini would like to send a copy of his new book, "The English language doesn't exist: it's badly pronounced French", to King Charles III. (…)

Norman French's use by the new colonial aristocracy endowed English with words that at first glance might look homegrown, like "cabbage", "lure" or "wage", in the 150 years after William the Conqueror took the throne.

But Cerquiglini is most interested by the 13th and 14th centuries, when French -- by then a second language used in trade, administration and law -- bled freely into English because "a job, fortunes in land or cash, upholding a contract, liberty or even one's life, could depend on mastering" the tongue.

Half of English's borrowings from French took place from 1260-1400, producing words like "bachelor", from the old French word "bachelier", meaning a young noble not yet a knight.

"Travel" is related to the modern French word for labour, "travail", while "clock" stems from the French "cloche", a bell struck to sound the hours before mechanical timepieces were invented.

By the time Shakespeare came to write his plays in the late 16th and early 17th centuries, around "40 percent of the 15,000 words in his works are of French origin", Cerquiglini notes.

These days the place of "Anglo-Saxon" words in modern French can stir defensiveness in Paris, often from the Academie Francaise, charged since 1635 with preserving the language in its "pure" form.

"Language in France is official, of the state, national. And so of course we have an academy" whose members enjoy "a ridiculous outfit, a sword, a palace by the Seine" river in Paris, Cerquiglini said.

In recent years the academy has railed against imports related to Covid-19, such as "cluster" or "testing", as well as tech terms like "big data".

Cerquiglini said the academy has scored some worthwhile wins, such as convincing the French-speaking world to use the native-sounding "logiciel" instead of the once-omnipresent "software".

But he added: "This isn't an invasion, these are French words that have gone for training in England and that are coming back to us.""

#article

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jobyoda-philippines · 5 months ago

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Exploring Career and Job Opportunities in Davao City Philippines

Davao City, recognized as one of the Philippines' most progressive cities, continues to experience remarkable economic growth, creating a vibrant job market that attracts professionals from across the country. The city's diverse economy offers numerous employment opportunities, from entry-level positions to executive roles, making it an attractive destination for job seekers at all career stages.

The Business Process Outsourcing (BPO) sector stands as one of the largest employers in Davao City, providing thousands of jobs across various specializations. Companies in this sector actively recruit customer service representatives, technical support specialists, and quality assurance analysts, offering competitive salaries and comprehensive benefits packages. The industry's continued expansion has created numerous opportunities for career advancement, with many organizations promoting from within and providing extensive training programs.

Part-time employment opportunities have also flourished in Davao City, catering to students, professionals seeking additional income, and individuals preferring flexible work arrangements. The retail sector, food service industry, and education field offer numerous part-time positions with varying schedules and responsibilities. These roles often provide valuable work experience and can serve as stepping stones to full-time careers.

The Information Technology sector in Davao has seen significant growth, with many companies seeking software developers, web designers, and IT support specialists. This growth has been fueled by the city's improving technological infrastructure and the increasing number of tech-focused businesses establishing operations in the region. Tech professionals can find opportunities in both established companies and startups, with many positions offering competitive compensation and the possibility of remote work arrangements.

Davao's hospitality and tourism industry continues to expand, creating jobs in hotels, restaurants, travel agencies, and tour operations. The sector offers positions ranging from entry-level service roles to management positions, with many employers providing training and development opportunities. The industry's growth has also sparked demand for professionals in events management and tourism marketing.

The education sector presents numerous opportunities for both full-time and part-time employment. Educational institutions regularly seek teachers, tutors, and administrative staff. The rise of online learning has created additional opportunities for English language teachers and academic consultants who can work flexible hours from home or teaching centers.

Job hiring in Davao, the digital economy has opened new avenues for employment. E-commerce specialists, digital content creators, and social media managers are in high demand as businesses increasingly establish their online presence. These positions often offer the flexibility of remote work while providing competitive compensation packages.

Professional development resources are readily available in Davao City, with numerous institutions offering skills training programs and industry certifications. Job seekers can access career counseling services, resume writing assistance, and interview coaching through various employment support organizations. These resources prove invaluable in helping candidates prepare for and secure desired positions.

The financial services sector in Davao has also experienced substantial growth, creating opportunities for banking professionals, insurance specialists, and investment consultants. These positions typically offer attractive compensation packages, including performance bonuses and health benefits, making them highly sought after by experienced professionals.

Davao's agricultural sector continues to evolve, combining traditional farming with modern agribusiness practices. This has created opportunities for agricultural technologists, food processing specialists, and supply chain professionals. The sector offers both technical and management positions, with many companies providing specialized training and development programs.

For those entering Davao's job market, proper preparation is essential. Successful job seekers typically maintain updated resumes, prepare comprehensive portfolios, and stay informed about industry developments. Professional networking, both online and offline, plays a crucial role in discovering opportunities and advancing careers in the city.

The future of Davao's job market looks promising, with emerging industries creating new employment opportunities. The city's commitment to economic development, coupled with its strategic location and robust infrastructure, continues to attract businesses and investors, ensuring a steady stream of job opportunities for qualified candidates.

Whether seeking full-time employment or part-time job in Davao City offers a diverse range of opportunities across multiple industries. Success in this dynamic job market often comes to those who combine proper preparation with continuous skill development and effective networking. As the city continues to grow and evolve, its job market remains a beacon of opportunity for professionals seeking to build meaningful careers in Mindanao's premier business hub.

#Davao City #recognized as one of the Philippines' most progressive cities #continues to experience remarkable economic growth #creating a vibrant job market that attracts professionals from across the country. The city's diverse economy offers numerous employment op #from entry-level positions to executive roles #making it an attractive destination for job seekers at all career stages.#The Business Process Outsourcing (BPO) sector stands as one of the largest employers in Davao City #providing thousands of jobs across various specializations. Companies in this sector actively recruit customer service representatives #technical support specialists #and quality assurance analysts #offering competitive salaries and comprehensive benefits packages. The industry's continued expansion has created numerous opportunities fo #with many organizations promoting from within and providing extensive training programs.#Part-time employment opportunities have also flourished in Davao City #catering to students #professionals seeking additional income #and individuals preferring flexible work arrangements. The retail sector #food service industry #and education field offer numerous part-time positions with varying schedules and responsibilities. These roles often provide valuable work #The Information Technology sector in Davao has seen significant growth #with many companies seeking software developers #web designers #and IT support specialists. This growth has been fueled by the city's improving technological infrastructure and the increasing number of t #with many positions offering competitive compensation and the possibility of remote work arrangements.#Davao's hospitality and tourism industry continues to expand #creating jobs in hotels #restaurants #travel agencies #and tour operations. The sector offers positions ranging from entry-level service roles to management positions #with many employers providing training and development opportunities. The industry's growth has also sparked demand for professionals in ev #The education sector presents numerous opportunities for both full-time and part-time employment. Educational institutions regularly seek t

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askagamedev · 1 year ago

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How is the process of learning In-house game engines once you get into an AAA studio? Do they immediately put you in production to learn as you go, or does it take some weeks before allocating you to a project?

The onboarding process is a little of everything you say. Whenever I start a new job, there's the new hire administrative tasks I need to get done like signing paperwork and doing harassment/DEI/office safety training and there's the actual "this is what they hired me to do" learning process where I learn how the workflow works so that I can start being productive. We'll ignore the administrative stuff and focus on the productivity onboarding.

The first thing that any new hire has to do is get the project synced to the latest safe build and get the game running. Without being able to run the game, we can't make or test any of the changes we will inevitably need to make. This often entails fiddling with a bunch of workstation and network settings in order to make sure all of the files are where the game expects them to be, all of the necessary software is installed and ready, and so on. Getting an in-development game running can take quite some time (I've seen whole days lost in some cases) given how much disk space these games can take (and therefore how long it takes to download all of those files from the depot) and how complex the workflow can be.

Once the new hire has the game up and running and has familiarized herself with the game's controls and such, it's time to start reading documentation for the internal tools and workflow - how the content is made, how the work is done, what the working process is, how to check your work, who to contact in case of questions. At this point, the lead usually assigns an introductory task or two to the new hire - a small task for her to get her feet wet and to provide some guidance while looking through the system and making some actual changes.

After this initial process of learning > making changes > testing > submitting the fix, the process repeats with newer and more complicated tasks as the new hire's lead deals out new assignments. As the new hire completes more tasks, she learns more about the tools, the workflow, and the team. That knowledge and experience is then considered when increasing the scope of her tasks until she's reached the level of productivity expected of a dev in her role.

If you think this sounds a lot like the [minimum competency for joining a team] post from a while back that I wrote, you're absolutely right. We use this exact process to bring a new hire onto our team because it's the same goal - we have someone who (we hope) is dedicated to working on the game and helping us carry it to completion.

[Join us on Discord] and/or [Support us on Patreon]

Got a burning question you want answered?

Short questions: Ask a Game Dev on Twitter

Long questions: Ask a Game Dev on Tumblr

Frequent Questions: The FAQ

#new hires #working in the game industry #getting a job in the game industry #how things work #assembling a team

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mitvpusolapur · 2 months ago

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Top B.Tech Courses in Maharashtra – CSE, AI, IT, and ECE Compared

B.Tech courses continue to attract students across India, and Maharashtra remains one of the most preferred states for higher technical education. From metro cities to emerging academic hubs like Solapur, students get access to diverse courses and skilled faculty. Among all available options, four major branches stand out: Computer Science and Engineering (CSE), Artificial Intelligence (AI), Information Technology (IT), and Electronics and Communication Engineering (ECE).

Each of these streams offers a different learning path. B.Tech in Computer Science and Engineering focuses on coding, algorithms, and system design. Students learn Python, Java, data structures, software engineering, and database systems. These skills are relevant for software companies, startups, and IT consulting.

B.Tech in Artificial Intelligence covers deep learning, neural networks, data processing, and computer vision. Students work on real-world problems using AI models. They also learn about ethical AI practices and automation systems. Companies hiring AI talent are in healthcare, retail, fintech, and manufacturing.

B.Tech in IT trains students in systems administration, networking, cloud computing, and application services. Graduates often work in system support, IT infrastructure, and data management. IT blends technical and management skills for enterprise use.

B.Tech ECE is for students who enjoy working with circuits, embedded systems, mobile communication, robotics, and signal processing. This stream is useful for telecom companies, consumer electronics, and control systems in industries.

Key Differences Between These B.Tech Programs:

CSE is programming-intensive. IT includes applications and system-level operations.

AI goes deeper into data modeling and pattern recognition.

ECE focuses more on hardware, communication, and embedded tech.

AI and CSE overlap, but AI involves more research-based learning.

How to Choose the Right B.Tech Specialization:

Ask yourself what excites you: coding, logic, data, devices, or systems.

Look for colleges with labs, project-based learning, and internship support.

Talk to seniors or alumni to understand real-life learning and placements.

Explore industry demand and long-term growth in each field.

MIT Vishwaprayag University, Solapur, offers all four B.Tech programs with updated syllabi, modern infrastructure, and practical training. Students work on live projects, participate in competitions, and build career skills through soft skills training. The university also encourages innovation and startup thinking.

Choosing the right course depends on interest and learning style. CSE and AI suit tech lovers who like coding and research. ECE is great for those who enjoy building real-world devices. IT fits students who want to blend business with technology.

Take time to explore the subjects and talk to faculty before selecting a stream. Your B.Tech journey shapes your future, so make an informed choice.

#B.Tech in Computer Science and Engineering #B.Tech in Artificial Intelligence #B.Tech in IT #B.Tech ECE #B.Tech Specialization

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mariacallous · 8 months ago

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If Donald Trump wins the US presidential election in November, the guardrails could come off of artificial intelligence development, even as the dangers of defective AI models grow increasingly serious.

Trump’s election to a second term would dramatically reshape—and possibly cripple—efforts to protect Americans from the many dangers of poorly designed artificial intelligence, including misinformation, discrimination, and the poisoning of algorithms used in technology like autonomous vehicles.

The federal government has begun overseeing and advising AI companies under an executive order that President Joe Biden issued in October 2023. But Trump has vowed to repeal that order, with the Republican Party platform saying it “hinders AI innovation” and “imposes Radical Leftwing ideas” on AI development.

Trump’s promise has thrilled critics of the executive order who see it as illegal, dangerous, and an impediment to America’s digital arms race with China. Those critics include many of Trump’s closest allies, from X CEO Elon Musk and venture capitalist Marc Andreessen to Republican members of Congress and nearly two dozen GOP state attorneys general. Trump’s running mate, Ohio senator JD Vance, is staunchly opposed to AI regulation.

“Republicans don't want to rush to overregulate this industry,” says Jacob Helberg, a tech executive and AI enthusiast who has been dubbed “Silicon Valley’s Trump whisperer.”

But tech and cyber experts warn that eliminating the EO’s safety and security provisions would undermine the trustworthiness of AI models that are increasingly creeping into all aspects of American life, from transportation and medicine to employment and surveillance.

The upcoming presidential election, in other words, could help determine whether AI becomes an unparalleled tool of productivity or an uncontrollable agent of chaos.

Oversight and Advice, Hand in Hand

Biden’s order addresses everything from using AI to improve veterans’ health care to setting safeguards for AI’s use in drug discovery. But most of the political controversy over the EO stems from two provisions in the section dealing with digital security risks and real-world safety impacts.

One provision requires owners of powerful AI models to report to the government about how they’re training the models and protecting them from tampering and theft, including by providing the results of “red-team tests” designed to find vulnerabilities in AI systems by simulating attacks. The other provision directs the Commerce Department’s National Institute of Standards and Technology (NIST) to produce guidance that helps companies develop AI models that are safe from cyberattacks and free of biases.

Work on these projects is well underway. The government has proposed quarterly reporting requirements for AI developers, and NIST has released AI guidance documents on risk management, secure software development, synthetic content watermarking, and preventing model abuse, in addition to launching multiple initiatives to promote model testing.

Supporters of these efforts say they’re essential to maintaining basic government oversight of the rapidly expanding AI industry and nudging developers toward better security. But to conservative critics, the reporting requirement is illegal government overreach that will crush AI innovation and expose developers’ trade secrets, while the NIST guidance is a liberal ploy to infect AI with far-left notions about disinformation and bias that amount to censorship of conservative speech.

At a rally in Cedar Rapids, Iowa, last December, Trump took aim at Biden’s EO after alleging without evidence that the Biden administration had already used AI for nefarious purposes.

“When I’m reelected,” he said, “I will cancel Biden’s artificial intelligence executive order and ban the use of AI to censor the speech of American citizens on Day One.”

Due Diligence or Undue Burden?

Biden’s effort to collect information about how companies are developing, testing, and protecting their AI models sparked an uproar on Capitol Hill almost as soon as it debuted.

Congressional Republicans seized on the fact that Biden justified the new requirement by invoking the 1950 Defense Production Act, a wartime measure that lets the government direct private-sector activities to ensure a reliable supply of goods and services. GOP lawmakers called Biden’s move inappropriate, illegal, and unnecessary.

Conservatives have also blasted the reporting requirement as a burden on the private sector. The provision “could scare away would-be innovators and impede more ChatGPT-type breakthroughs,” Representative Nancy Mace said during a March hearing she chaired on “White House overreach on AI.”

Helberg says a burdensome requirement would benefit established companies and hurt startups. He also says Silicon Valley critics fear the requirements “are a stepping stone” to a licensing regime in which developers must receive government permission to test models.

Steve DelBianco, the CEO of the conservative tech group NetChoice, says the requirement to report red-team test results amounts to de facto censorship, given that the government will be looking for problems like bias and disinformation. “I am completely worried about a left-of-center administration … whose red-teaming tests will cause AI to constrain what it generates for fear of triggering these concerns,” he says.

Conservatives argue that any regulation that stifles AI innovation will cost the US dearly in the technology competition with China.

“They are so aggressive, and they have made dominating AI a core North Star of their strategy for how to fight and win wars,” Helberg says. “The gap between our capabilities and the Chinese keeps shrinking with every passing year.”

“Woke” Safety Standards

By including social harms in its AI security guidelines, NIST has outraged conservatives and set off another front in the culture war over content moderation and free speech.

Republicans decry the NIST guidance as a form of backdoor government censorship. Senator Ted Cruz recently slammed what he called NIST’s “woke AI ‘safety’ standards” for being part of a Biden administration “plan to control speech” based on “amorphous” social harms. NetChoice has warned NIST that it is exceeding its authority with quasi-regulatory guidelines that upset “the appropriate balance between transparency and free speech.”

Many conservatives flatly dismiss the idea that AI can perpetuate social harms and should be designed not to do so.

“This is a solution in search of a problem that really doesn't exist,” Helberg says. “There really hasn’t been massive evidence of issues in AI discrimination.”

Studies and investigations have repeatedly shown that AI models contain biases that perpetuate discrimination, including in hiring, policing, and health care. Research suggests that people who encounter these biases may unconsciously adopt them.

Conservatives worry more about AI companies’ overcorrections to this problem than about the problem itself. “There is a direct inverse correlation between the degree of wokeness in an AI and the AI's usefulness,” Helberg says, citing an early issue with Google’s generative AI platform.

Republicans want NIST to focus on AI’s physical safety risks, including its ability to help terrorists build bioweapons (something Biden’s EO does address). If Trump wins, his appointees will likely deemphasize government research on AI’s social harms. Helberg complains that the “enormous amount” of research on AI bias has dwarfed studies of “greater threats related to terrorism and biowarfare.”

Defending a “Light-Touch Approach”

AI experts and lawmakers offer robust defenses of Biden’s AI safety agenda.

These projects “enable the United States to remain on the cutting edge” of AI development “while protecting Americans from potential harms,” says Representative Ted Lieu, the Democratic cochair of the House’s AI task force.

The reporting requirements are essential for alerting the government to potentially dangerous new capabilities in increasingly powerful AI models, says a US government official who works on AI issues. The official, who requested anonymity to speak freely, points to OpenAI’s admission about its latest model’s “inconsistent refusal of requests to synthesize nerve agents.”

The official says the reporting requirement isn’t overly burdensome. They argue that, unlike AI regulations in the European Union and China, Biden’s EO reflects “a very broad, light-touch approach that continues to foster innovation.”

Nick Reese, who served as the Department of Homeland Security’s first director of emerging technology from 2019 to 2023, rejects conservative claims that the reporting requirement will jeopardize companies’ intellectual property. And he says it could actually benefit startups by encouraging them to develop “more computationally efficient,” less data-heavy AI models that fall under the reporting threshold.

AI’s power makes government oversight imperative, says Ami Fields-Meyer, who helped draft Biden’s EO as a White House tech official.

“We’re talking about companies that say they’re building the most powerful systems in the history of the world,” Fields-Meyer says. “The government’s first obligation is to protect people. ‘Trust me, we’ve got this’ is not an especially compelling argument.”

Experts praise NIST’s security guidance as a vital resource for building protections into new technology. They note that flawed AI models can produce serious social harms, including rental and lending discrimination and improper loss of government benefits.

Trump’s own first-term AI order required federal AI systems to respect civil rights, something that will require research into social harms.

The AI industry has largely welcomed Biden’s safety agenda. “What we're hearing is that it’s broadly useful to have this stuff spelled out,” the US official says. For new companies with small teams, “it expands the capacity of their folks to address these concerns.”

Rolling back Biden’s EO would send an alarming signal that “the US government is going to take a hands off approach to AI safety,” says Michael Daniel, a former presidential cyber adviser who now leads the Cyber Threat Alliance, an information sharing nonprofit.

As for competition with China, the EO’s defenders say safety rules will actually help America prevail by ensuring that US AI models work better than their Chinese rivals and are protected from Beijing’s economic espionage.

Two Very Different Paths

If Trump wins the White House next month, expect a sea change in how the government approaches AI safety.

Republicans want to prevent AI harms by applying “existing tort and statutory laws” as opposed to enacting broad new restrictions on the technology, Helberg says, and they favor “much greater focus on maximizing the opportunity afforded by AI, rather than overly focusing on risk mitigation.” That would likely spell doom for the reporting requirement and possibly some of the NIST guidance.

The reporting requirement could also face legal challenges now that the Supreme Court has weakened the deference that courts used to give agencies in evaluating their regulations.

And GOP pushback could even jeopardize NIST’s voluntary AI testing partnerships with leading companies. “What happens to those commitments in a new administration?” the US official asks.

This polarization around AI has frustrated technologists who worry that Trump will undermine the quest for safer models.

“Alongside the promises of AI are perils,” says Nicol Turner Lee, the director of the Brookings Institution’s Center for Technology Innovation, “and it is vital that the next president continue to ensure the safety and security of these systems.”

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juanabaloo · 5 months ago

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There's a Treasury coup going on, led by Musk. The Nazi Republicans are fine with this and the legacy (traditional) media doesn't seem to care. (It start Friday sometime. Friday Jan 31st, 2025) I'll link to the source, but I wanna include the full article from Wired in text here.

They have identified the 6 engineers (supposedly they are engineers) who are part of this coup. These people have names, they are not nameless shadows. May they never know a moment of peace in their godforsaken lives.

[Personally I have zero issue with them being young. The real problem is their lack of experience and training with confidential data, lack of security clearance, and them participating in a fucking coup.]

Vittoria Elliott Additional reporting by Zoë Schiffer and Tim Marchman Wired.com Feb 2, 2025 2:02 PM

The Young, Inexperienced Engineers Aiding Elon Musk’s Government Takeover

Engineers between 19 and 24, most linked to Musk’s companies, are playing a key role as he seizes control of federal infrastructure.

The engineers are Akash Bobba, Edward Coristine, Luke Farritor, Gautier Cole Killian (also known as Cole Killian), Gavin Kliger, and Ethan Shaotran. None have responded to requests for comment from WIRED. Representatives from OPM, GSA, and DOGE did not respond to requests for comment.

(Source: Wired.com)

Full article under the cut, including some initial details like university and internship jobs for some of the six.

Elon Musk’s takeover of federal government infrastructure is ongoing, and at the center of things is a coterie of engineers who are barely out of—and in at least one case, purportedly still in—college. Most have connections to Musk, and at least two have connections to Musk’s longtime associate Peter Thiel, a cofounder and chair of the analytics firm and government contractor Palantir who has long expressed opposition to democracy.

WIRED has identified six young men—all apparently between the ages of 19 and 24, according to public databases, their online presences, and other records—who have little to no government experience and are now playing critical roles in Musk’s so-called Department of Government Efficiency (DOGE) project, tasked by executive order with “modernizing Federal technology and software to maximize governmental efficiency and productivity.” The engineers all hold nebulous job titles within DOGE, and at least one appears to be working as a volunteer.

The engineers are Akash Bobba, Edward Coristine, Luke Farritor, Gautier Cole Killian, Gavin Kliger, and Ethan Shaotran. None have responded to requests for comment from WIRED. Representatives from OPM, GSA, and DOGE did not respond to requests for comment.

Already, Musk’s lackeys have taken control of the Office of Personnel Management (OPM) and General Services Administration (GSA), and have gained access to the Treasury Department’s payment system, potentially allowing him access to a vast range of sensitive information about tens of millions of citizens, businesses, and more. On Sunday, CNN reported that DOGE personnel attempted to improperly access classified information and security systems at the US Agency for International Development and that top USAID security officials who thwarted the attempt were subsequently put on leave. The Associated Press reported that DOGE personnel had indeed accessed classified material.

“What we're seeing is unprecedented in that you have these actors who are not really public officials gaining access to the most sensitive data in government,” says Don Moynihan, a professor of public policy at the University of Michigan. “We really have very little eyes on what's going on. Congress has no ability to really intervene and monitor what's happening because these aren't really accountable public officials. So this feels like a hostile takeover of the machinery of governments by the richest man in the world.”

Bobba has attended UC Berkeley, where he was in the prestigious Management, Entrepreneurship, and Technology program. According to a copy of his now-deleted LinkedIn obtained by WIRED, Bobba was an investment engineering intern at the Bridgewater Associates hedge fund as of last spring and was previously an intern at both Meta and Palantir. He was a featured guest on a since-deleted podcast with Aman Manazir, an engineer who interviews engineers about how they landed their dream jobs, where he talked about those experiences last June.

Coristine, as WIRED previously reported, appears to have recently graduated from high school and to have been enrolled at Northeastern University. According to a copy of his résumé obtained by WIRED, he spent three months at Neuralink, Musk’s brain-computer interface company, last summer.e [e seems to be a typo]

Both Bobba and Coristine are listed in internal OPM records reviewed by WIRED as “experts” at OPM, reporting directly to Amanda Scales, its new chief of staff. Scales previously worked on talent for xAI, Musk’s artificial intelligence company, and as part of Uber’s talent acquisition team, per LinkedIn. Employees at GSA tell WIRED that Coristine has appeared on calls where workers were made to go over code they had written and justify their jobs. WIRED previously reported that Coristine was added to a call with GSA staff members using a nongovernment Gmail address. Employees were not given an explanation as to who he was or why he was on the calls.

Farritor, who per sources has a working GSA email address, is a former intern at SpaceX, Musk’s space company, and currently a Thiel Fellow after, according to his LinkedIn, dropping out of the University of Nebraska—Lincoln. While in school, he was part of an award-winning team that deciphered portions of an ancient Greek scroll.

Kliger, whose LinkedIn lists him as a special adviser to the director of OPM and who is listed in internal records reviewed by WIRED as a special adviser to the director for information technology, attended UC Berkeley until 2020; most recently, according to his LinkedIn, he worked for the AI company Databricks. His Substack includes a post titled “The Curious Case of Matt Gaetz: How the Deep State Destroys Its Enemies,” as well as another titled “Pete Hegseth as Secretary of Defense: The Warrior Washington Fears.”

Killian, also known as Cole Killian, has a working email associated with DOGE, where he is currently listed as a volunteer, according to internal records reviewed by WIRED. According to a copy of his now-deleted résumé obtained by WIRED, he attended McGill University through at least 2021 and graduated high school in 2019. An archived copy of his now-deleted personal website indicates that he worked as an engineer at Jump Trading, which specializes in algorithmic and high-frequency financial trades.

Shaotran told Business Insider in September that he was a senior at Harvard studying computer science and also the founder of an OpenAI-backed startup, Energize AI. Shaotran was the runner-up in a hackathon held by xAI, Musk’s AI company. In the Business Insider article, Shaotran says he received a $100,000 grant from OpenAI to build his scheduling assistant, Spark.

“To the extent these individuals are exercising what would otherwise be relatively significant managerial control over two very large agencies that deal with very complex topics,” says Nick Bednar, a professor at University of Minnesota’s school of law, “it is very unlikely they have the expertise to understand either the law or the administrative needs that surround these agencies.”

Sources tell WIRED that Bobba, Coristine, Farritor, and Shaotran all currently have working GSA emails and A-suite level clearance at the GSA, which means that they work out of the agency’s top floor and have access to all physical spaces and IT systems, according a source with knowledge of the GSA’s clearance protocols. The source, who spoke to WIRED on the condition of anonymity because they fear retaliation, says they worry that the new teams could bypass the regular security clearance protocols to access the agency’s sensitive compartmented information facility, as the Trump administration has already granted temporary security clearances to unvetted people.

This is in addition to Coristine and Bobba being listed as “experts” working at OPM. Bednar says that while staff can be loaned out between agencies for special projects or to work on issues that might cross agency lines, it’s not exactly common practice.

“This is consistent with the pattern of a lot of tech executives who have taken certain roles of the administration,” says Bednar. “This raises concerns about regulatory capture and whether these individuals may have preferences that don’t serve the American public or the federal government.”

Additional reporting by Zoë Schiffer and Tim Marchman.

#USA politics #fuck musk #the treasury coup by elon musk #aided and abetted by Trump and the Republicans and the shit ass media #name and shame #spit in their drink will ya?#you know these dudebros are eating at restaurants in DC #fuck these guys

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