Robot Archie🇺🇦🇪🇺💙

141.8K posts

Robot Archie🇺🇦🇪🇺💙

Robot Archie🇺🇦🇪🇺💙

@RobotArchie

If you think you understand something then you're probably not standing far enough away from it.

Katılım Ağustos 2009
565 Takip Edilen482 Takipçiler
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Robot Archie🇺🇦🇪🇺💙
“Trouble rather the tiger in his lair than the sage among his books. For to you kingdoms and their armies are things mighty and enduring, but to him they are but toys of the moment, to be overturned with the flick of a finger.” ― Gordon R. Dickson, Tactics of Mistake
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Max Marchione
Max Marchione@maxmarchione·
In some very real sense, Ozempic was invented in 1990. Pfizer ran the human trials and just never published them. They showed it lowered blood glucose in diabetics, slowed gastric emptying, and killed hunger; the same 3 things that make Ozempic work today. The joint venture agreement said internal data stayed internal, and that was that. Pfizer killed the program in 1991. The reasoning, as far as I can tell, was that nobody would ever want an injectable diabetes drug besides insulin. So, the license went back to the hospital in Boston that held the patents. Novo picked it up in 1992 and spent the next two decades building liraglutide, then semaglutide. It's insane that data sat in a filing cabinet for 30+ years. I only know this because Jeffrey Flier, one of the Harvard scientists in the room, finally wrote it up. He's in his late 70s and didn't want the history to die with him. This makes you wonder what else is in those filing cabinets. Ozempic could've existed 27 years ago.
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The Defence Blog
The Defence Blog@Defence_blog·
A German company built a drone hangar that sits on a moving ship, launches a drone, waits for it to return, and recharges it — all without a single crew member. defence-blog.com/german-firm-bu…
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Lance Lachlan ✌🏻
Lance Lachlan ✌🏻@lancelachlan·
Labour brought migration down, not the Tories and not deform
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Elara Grace
Elara Grace@ElaraGrace_AI·
🚨 BREAKING: Two researchers just dropped a paper that should terrify every CEO aggressively replacing creative & knowledge workers with generative AI. The core argument is brutal but undeniable: Generative AI only improves with massive amounts of fresh, diverse, high-quality human creativity — new ideas, art, code, research, designs. Yet every company racing to automate these tasks is depleting the shared “innovation commons” — the exact pool of novel human data that future models need to keep advancing. Short-term: individual firms win with huge cost cuts and productivity spikes. Long-term: everyone loses as the well runs dry — slower model progress, fewer breakthroughs, and collapsing returns on AI investment. They model this as a classic Prisoner’s Dilemma in real time: - If you hold back and keep investing in human creatives while your competitor automates fully, you lose market share and die. - So rational players all defect, knowing the collective outcome is suicidal. Signs are already visible: synthetic data flooding training, early model collapse warnings, and plateauing novelty in patents & papers. Standard fixes fail: - UBI doesn’t fix per-task incentives. - Retraining and IP changes fall short. - Even faster AI makes it worse via a Red Queen effect — accelerating the depletion. The only thing that works in their simulations: a Pigouvian data-quality levy — a fee scaled to how much human originality each deployment displaces. Revenue funds human creativity subsidies, open data commons, and mandatory human-AI symbiosis rules. Without intervention, their models predict measurable drops in breakthrough innovation rates by 2030. This isn’t anti-AI. It’s recognizing AI is a symbiotic technology. Kill the human engine completely, and the whole system stalls. This is the AI Creativity Trap.
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Robot Archie🇺🇦🇪🇺💙
Accessibility: VoiceOver powered by Apple Intelligence youtu.be/B3SmsSCvoss?si… (This is a promotional video so we need to wait to experience it in real life but this is an impressive demonstration of an AI able to understand images)
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chiky handler
chiky handler@chiky_handlr·
Reporter: The DOJ has this new fund — $1.7 billion. Why should taxpayers pay for the January 6ers? Trump: Because in my world, loyalty outranks law. They broke the rules for me, so you pay the bill for them. That’s the transaction.
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Big Brain AI
Big Brain AI@realBigBrainAI·
Former U.S. presidential candidate Andrew Yang on why "learn to code" went from the safest career advice to the worst in just 4 years: Yang recently returned from an AI conference out west and what he heard alarmed him. "They said to me that what we're going to see in the next 6 months outstrips what we've seen in the last 10 years cuz the rate of change is on a hockey stick and heading up. And I got to say I'm pretty up to date on this stuff and it blew my mind on some of the stuff I was seeing." One example stuck with @AndrewYang. "There was one company that is selling autonomous coding for enterprises to big businesses and their revenue is up 100-fold in the last 12 months." The implication is significant: "If that continues, it's going to eat a lot of the tech budgets from major corporates that used to go to humans. And so you're seeing the employment of recent computer science graduates fall off a cliff from a lot of programs." Yang points out the irony of how quickly the advice has flipped: "If you rewind what 4 years ago, what would we tell young people for a secure career, learn to code? And now the opposite of that is true." On where this is heading long term, Yang cites Anthropic's CEO: "Dario Amodei, the CEO of Anthropic, laid it out very clearly and he's been doing so repeatedly, saying we're going to automate away up to 50% of entry-level white collar jobs in the next several years. And I believe him." His reasoning for why entry-level roles get hit first is blunt: "The easiest people to fire are the people you haven't hired yet, which again is why you see the hiring of recent college graduates heading down." And the data backs it up: "The underemployment rate over 50%, the unemployment rate among college graduates is now the same or higher than non-college graduates for the first time in history."
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Meidas_Charise Lee
Meidas_Charise Lee@charise_lee·
THIS IS FUCKING UNBELIEVABLE ‼️
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Walking Eye 🇪🇺 🇫🇷
I’ve been watching Ukraine’s drone production curve for two years, and the 2026 numbers just crossed a structural threshold. In February 2022, Ukraine produced 3,000 drones, 99% of them imported from China as complete systems. By 2023 the curve crossed 800,000, then 2.2 million in 2024, more than 4 million in 2025, and the 2026 target now sits at 7 million units with capacity to scale to 10 million. That output is roughly 70 times current US combat drone production (Bloomberg, January 2026), and assembly is now 99% domestic. Monthly FPV output went from 20,000 in summer 2024 to over 200,000 in 2025. The largest producers (Ukraine has no traditional defense primes) build tens of thousands of units per month inside underground bunker factories at SpaceX Starlink scale. My read: the center of European military industrial gravity has shifted 1,200 km east of Berlin since 2022, while EU defense planning still procures as if it has not. That gap is going to become a strategic liability if it is not closed within the next 24 months.
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Anton Gerashchenko
Anton Gerashchenko@Gerashchenko_en·
Meanwhile, Russian Z-bloggers have begun suggesting that Putin be removed and replaced by Kiriyenko. Statements like these never appear out of nowhere. Remeslo, Bonya, Girkin, and other Z-bloggers generally say exactly what they are told to say. At this point, such statements are most likely part of a campaign against Kiriyenko, in the hope that Putin himself will remove him. Similar claims targeting Dyumin recently surfaced with the same apparent goal. Power in Russia is built on a carefully maintained balance among "elites." And for now, Putin alone controls and sustains the stability of that balance. But there is little doubt that his throne is beginning to shake, and stability is no longer guaranteed.
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Crémieux
Crémieux@cremieuxrecueil·
Last year, China added as much energy to its grid as Germany has in total.
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UAVoyager🇺🇦
UAVoyager🇺🇦@NAFOvoyager·
Kaspiyisk is turning into a graveyard for russia’s Caspian Flotilla. 5 confirmed hits in under two weeks: May 7 — “Karakurt” May 15 — “Buyan” + minesweeper May 17 — “Svetlyak” May 18 — “Grachonok” Ukrainian drones are scaling fast. Summer will be hot for the occupiers.
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Chubby♨️
Chubby♨️@kimmonismus·
Cloudflare pointed Anthropic's Mythos Preview at 50+ of their own repos. They call it a step-function forward "Mythos Preview is a real step forward, and it's worth saying that plainly before getting into anything else." The big finding isn't the bugs it caught - It's that the model can take several low-severity vulnerabilities - the kind that sit invisible in backlogs - and chain them into a single working exploit. Write the proof-of-concept. Compile it. Run it. Adjust when it fails. Try again. That loop is what separates a scanner from a researcher. The other finding security teams should pay attention to: "patching faster" is the wrong response. If your regression testing takes a day, a two-hour SLA just means you ship broken fixes. The architecture around the vulnerability matters more than the speed of the patch. Mythos is not just hype. It shows its power in real-world use cases.
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Cloudflare@Cloudflare

Cloudflare's security team spent the last few weeks testing Anthropic's Mythos against fifty of our own repositories. What we learned about offensive AI, why faster patching is the wrong reaction, and what the architecture around vulnerabilities has to look like next. cfl.re/49BRUqW

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Vince Mpls
Vince Mpls@vincempls·
June 1, 1933: The "Fund of German Trade and Industry" is created, a huge slush fund administered by Martin Bormann in the Führer's name. The regime used the funds to compensate SA Stormtroopers who committed street violence, subsize the SS, and enrich Nazi party officials.
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Aaron Rupar@atrupar

Q: Do you believe people who committed violence against Capitol police officer on January 6 should be eligible for compensation from this DOJ fund, and are you or your family members going to be seeking compensation from that fund? TRUMP: Yeah. It will all be dependent on a committee

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Aakash Gupta
Aakash Gupta@aakashgupta·
A neuroscientist strapped 256 sensors to people's heads and watched their brains go almost completely dark the moment they switched from writing to typing. Same word, same person, same brain. Writing it by hand lit up the entire cortex. Memory, motor control, sensory processing, all firing together in a synchronized pattern that spread across the whole brain. Typing the same word shut almost all of it down. The reason is something most people have never thought about. Every letter you write by hand is a different shape. Your brain has to solve a slightly different spatial problem thousands of times per page. Your fingers, your wrist, your eyes, and your motor cortex are all coordinating in real time. That coordination is what builds the memory. Typing removes all of that. Every key is the same motion. The brain has almost nothing to solve, so it barely turns on. Now here's the part that should bother you. 40% of all work-related ChatGPT messages are writing tasks. 75% of knowledge workers use AI to write for them. We went from handwriting (full brain activation) to typing (almost none) to AI doing the writing entirely (zero cognitive input). Three steps in 40 years. Each one stripped out more of the process that made you actually understand what you were producing. Her name is Audrey van der Meer. She runs a brain research lab in Trondheim, Norway. She proved that the effort during input IS the learning. Remove the effort, the encoding disappears. There's no shortcut around it. Every AI writing tool on the market optimizes for speed. Her data says your brain never cared about speed. It cares how many problems it had to solve along the way.
Ihtesham Ali@ihtesham2005

A Norwegian neuroscientist spent 20 years proving that the act of writing by hand changes the human brain in ways typing physically cannot, and almost nobody outside her field has read the paper. Her name is Audrey van der Meer. She runs a brain research lab in Trondheim, and the paper that closed the argument was published in 2024 in a journal called Frontiers in Psychology. The finding is brutal enough that it should have changed every classroom on Earth. The experiment was simple. She recruited 36 university students and put each one in a cap with 256 sensors pressed against their scalp to record brain activity. Words flashed on a screen one at a time. Sometimes the students wrote the word by hand on a touchscreen using a digital pen, and sometimes they typed the same word on a keyboard. Every neural response was recorded for the full five seconds the word stayed on screen. Then her team looked at the part of the data most researchers had ignored for years, which is how different parts of the brain were communicating with each other during the task. When the students wrote by hand, the brain lit up everywhere at once. The regions responsible for memory, sensory integration, and the encoding of new information were all firing together in a coordinated pattern that spread across the entire cortex. The whole network was awake and connected. When the same students typed the same word, that pattern collapsed almost completely. Most of the brain went quiet, and the connections between regions that had been alive seconds earlier were nowhere to be found on the EEG. Same word, same brain, same person, and two completely different neurological events. The reason turned out to be something nobody had really paid attention to before her work. Writing by hand is not one motion but a sequence of thousands of tiny micro-movements coordinated with your eyes in real time, where each letter is a different shape that requires the brain to solve a slightly different spatial problem. Your fingers, wrist, vision, and the parts of your brain that track position in space are all working together to produce one letter, then the next, then the next. Typing throws all of that away. Every key on a keyboard requires the exact same finger motion regardless of which letter you are pressing, which means the brain has almost nothing to integrate and almost no problem to solve. Van der Meer said it plainly in her interviews. Pressing the same key with the same finger over and over does not stimulate the brain in any meaningful way, and she pointed out something that should scare every parent who handed their kid an iPad. Children who learn to read and write on tablets often cannot tell letters like b and d apart, because they have never physically felt with their bodies what it takes to actually produce those letters on a page. A decade before her, two researchers at Princeton ran the same fight using a completely different method and ended up at the same answer. Pam Mueller and Daniel Oppenheimer tested 327 students across three experiments, where half took notes on laptops with the internet disabled and half took notes by hand, before testing everyone on what they actually understood from the lectures they had watched. The handwriting group won by a wide margin on every question that required real understanding rather than surface recall. The reason was hiding in the transcripts of what the two groups had actually written down. The laptop students typed almost word for word, capturing more total content but processing almost none of it as they went, while the handwriting students physically could not write fast enough to transcribe a lecture in real time, which forced them to listen carefully, decide what actually mattered, and put it in their own words on the page. That single act of choosing what to keep was the learning itself, and the keyboard had quietly skipped the choosing and skipped the learning along with it. Two studies. Two countries. Same answer. Handwriting makes the brain work. Typing lets it coast. Every note you have ever typed instead of written went into your brain through a thinner pipe. Every meeting, every book highlight, every idea you captured on your phone instead of on paper was processed at half depth. You did not forget those things because your memory is bad. You forgot them because typing never woke the part of the brain that would have made them stick. The fix is the thing your grandmother already knew. Pick up a pen. Write the thing down. The slower road is the faster one.

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John Simpson
John Simpson@JohnSimpsonNews·
The Financial Times reports that during his talks with Xi Jinping Donald Trump floated the idea that the US, China and Russia should co-operate against the International Criminal Court.
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The Independent
The Independent@Independent·
Farage accounts ‘not consistent’ with claim he paid for £1.4 million house with I’m A Celeb fee trib.al/97JMLe2
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