Jonas Köhler

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Jonas Köhler

Jonas Köhler

@jonkhler

fueled by randomness MOTS @cusp_ai, ex-{@MSFTResearch,@GoogleDeepMind,@MPI_IS} born @ 353 ppm, he/him, block toxicity

Berlin Katılım Nisan 2019
530 Takip Edilen2.1K Takipçiler
Jonas Köhler retweetledi
sergio tahini, PhD
sergio tahini, PhD@_sergiotahini·
europeans when world war 3 starts but it's august
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Jonas Köhler
Jonas Köhler@jonkhler·
The American mind cannot comprehend this :)
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Jonas Köhler
Jonas Köhler@jonkhler·
state of my work these days 🤷🏼‍♂️
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François Chollet
François Chollet@fchollet·
In the era of algorithmic distraction, the ability to maintain a single thread of thought for four hours is a superpower. It is the only way to solve hard problems.
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Rutger Bregman
Rutger Bregman@rcbregman·
Anthropic has been absolutely heroic. Let's ALL switch to Claude today - not just because it's the best AI model (that the Pentagon WILL NOT have for mass surveillance + killer drones), but also because they are simply the good guys.
Secretary of War Pete Hegseth@SecWar

This week, Anthropic delivered a master class in arrogance and betrayal as well as a textbook case of how not to do business with the United States Government or the Pentagon. Our position has never wavered and will never waver: the Department of War must have full, unrestricted access to Anthropic’s models for every LAWFUL purpose in defense of the Republic. Instead, @AnthropicAI and its CEO @DarioAmodei, have chosen duplicity. Cloaked in the sanctimonious rhetoric of “effective altruism,” they have attempted to strong-arm the United States military into submission - a cowardly act of corporate virtue-signaling that places Silicon Valley ideology above American lives. The Terms of Service of Anthropic’s defective altruism will never outweigh the safety, the readiness, or the lives of American troops on the battlefield. Their true objective is unmistakable: to seize veto power over the operational decisions of the United States military. That is unacceptable. As President Trump stated on Truth Social, the Commander-in-Chief and the American people alone will determine the destiny of our armed forces, not unelected tech executives. Anthropic’s stance is fundamentally incompatible with American principles. Their relationship with the United States Armed Forces and the Federal Government has therefore been permanently altered. In conjunction with the President's directive for the Federal Government to cease all use of Anthropic's technology, I am directing the Department of War to designate Anthropic a Supply-Chain Risk to National Security. Effective immediately, no contractor, supplier, or partner that does business with the United States military may conduct any commercial activity with Anthropic. Anthropic will continue to provide the Department of War its services for a period of no more than six months to allow for a seamless transition to a better and more patriotic service. America’s warfighters will never be held hostage by the ideological whims of Big Tech. This decision is final.

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Rutger Bregman
Rutger Bregman@rcbregman·
The moral collapse of OpenAI in one repost.
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Rutger Bregman
Rutger Bregman@rcbregman·
This is the most important thing happening in the world right now. The administration wants killer drones + mass surveillance of Americans. Anthropic refuses to build it. While most tech companies fall in line, they are prepared to pay the price for their principles.
The Associated Press@AP

Defense Secretary Pete Hegseth gives Anthropic a Friday deadline to open its AI technology for unrestricted military use or risk losing contract, source tells AP. apnews.com/article/anthro…

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Rutger Bregman
Rutger Bregman@rcbregman·
Yeah here's a list, Greg, of how you and OpenAI could 'do better': - Stop donating $25 MILLION to MAGA Inc - Stop powering ICE's resume screening tool - Stop spending ten of millions on killing AI safety laws - Stop intimidating and subpoenaing nonprofits pushing for AI accountability - Stop pretending you're 'for humanity' while enabling authoritarianism Basically just stop?
Greg Brockman@gdb

@ryancarson anything we could be doing better?

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François Chollet
François Chollet@fchollet·
Lots of folks spread false narratives about how ARC-1 was created in response to LLMs, or how ARC-2 was only created because ARC-1 was saturated. Setting the record straight: 1. ARC-1 was designed 2017-2019 and released in 2019 (pre LLMs). 2. The coming of ARC-2 was announced in May 2022 (pre ChatGPT). 3. By mid-2024, there was still essentially no progress on ARC-1. 4. All progress on ARC-1 & ARC-2 came from a new paradigm, test-time adaptation models, starting in late 2024 and ramping up through 2025. 5. Progress happened specifically *because* research moved away from what ARC was intended to challenge (static DL), toward what ARC was intended to encourage (test-time adaptation). ARC was meant to steer AI research towards fluid intelligence, and it is only by implementing fluid intelligence that it could be solved. 6. To this day, base LLMs (no test-time adaptation) *still* perform abysmally low on ARC despite a 50,000x scaleup since 2020, which confirms what we predicted about this paradigm not being capable of fluid intelligence and therefore not being capable of solving ARC. 7. ARC-3 was announced in February 2025, back when ARC-2 was completely unsaturated. ARC-3 is not in response to ARC-2 getting saturated. 8. We never claimed solving ARC would be proof of having achieved AGI; all the way back to 2021-2022 and every single year since we made it very explicit that it would NOT be proof of AGI. ARC is a research tool that was intended to steer AI research towards fluid intelligence, which it did.
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Matt Henderson
Matt Henderson@matthen2·
need to find the greatest common divisor of two numbers? just fold them on top of each other until you can't any more!
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Pasquale Minervini
Pasquale Minervini@PMinervini·
in many cases when papers say "x is not differentiable", if you do the math you find that x is differentiable but its gradient doesn't work with backprop (e.g. it's 0) -- do we have a name for such cases? (apart from "non-differentiable" which is plainly wrong)
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François Chollet
François Chollet@fchollet·
Folks who work in AI or software engineering feel like the world is changing exponential fast. Because *their* world is changing exponentially fast. Folks in structural engineering or aeronautical engineering might not share the same sentiment.
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Prof. Stefan Rahmstorf 🌏 🦣
Nuclear #fusion will not only come too late to help solve the #climatecrisis. Even in the long run it will not be the unlimited energy source that some are dreaming of. The reason is basic physics, and anyone can do the back-of-envelope calculation. 🧵1/
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Jonas Köhler
Jonas Köhler@jonkhler·
@Tatzelbrumm @larsweisbrod Das kommt vermutlich ziemlich auf die Stelle an 🤷🏼‍♂️ Für mein Feld (ML für molekulare Simulationen) hilft es vermutlich nicht so viel. In so Data Journalismus Kontexten etc. kann ein gutes Projekt natürlich extrem spannend sein.
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@larsweisbrod@det.social
@[email protected]@larsweisbrod·
Wenn ich mit WHY MACHINES LEARN durch bin, würde ich gerne irgendeinen „anerkannten“ ML/data science/AI Kurs machen, den man nebenberuflich schaffen kann. Kennt ihr da gute, renommierte Angebote, die man sich auch in den CV schreiben kann?
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