Yann LeCun

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Yann LeCun

Yann LeCun

@ylecun

Professor at NYU & Executive Chairman at AMI Labs. Ex-Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.

New York Katılım Haziran 2009
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Yann LeCun
Yann LeCun@ylecun·
I do not write posts on X. I tweet links to posts on other platforms. I like and retweet (occasionally) I comment on friends' tweets (rarely) Follow me on...⬇️⬇️⬇️
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Phillips P. OBrien
Phillips P. OBrien@PhillipsPOBrien·
New @wapo story today, the Trump family has secured about $3.2 billion in Pentagon contracts for firms which they are involved in. This is the tip of the iceberg in the largest corruption saga in US history.
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Arvind Narayanan
Arvind Narayanan@random_walker·
1) If you haven't read AI as Normal Technology, these annotated slides are probably the easiest way to get a high-level overview. cs.princeton.edu/~arvindn/talks… 2) If you're already familiar with the core ideas, Part 1 of the talk is largely a summary of what I and @sayashk have already written, while Parts 2 and 3 have new ideas. There are a lot of unexamined assumptions in the discourse about Recursive Self-Improvement and I hope you find my pushback interesting. 3) I'm really grateful to the team (@steverab @sayashk @PKirgis & Felix Chen) for feedback on the talk. In my first version, Part 2 was about 3x too long and I was super frustrated with myself. They encouraged me to cut it down ruthlessly and turn the full version into essays on the newsletter, so that's what I plan to do! (normaltech.ai) 4) I've received a few requests for the video. There's a video on the ICML website, but it is login-walled icml.cc/virtual/2026/i… (I assume it's for ICML registrants only). Last year's videos are public, so presumably @icmlconf will make it public at some point.
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Arvind Narayanan@random_walker

I had the honor of giving a keynote at the International Conference on Machine Learning in Seoul last week titled “What will be left for us to work on?” I addressed the widespread anxiety about how we should adapt as AI capabilities increase. I was thrilled by the talk’s reception, so I have made my slides available, annotated with a lightly edited transcript: cs.princeton.edu/~arvindn/talks… I made three arguments. First, the "AI as Normal Technology" framework is a correct and useful as a way to think about AI’s impacts, unless and until there is some future discontinuity such as through recursive self-improvement. Second, even though we should take recursive self-improvement seriously, there is no milestone that companies might achieve in the lab that will suddenly put us all out of work. Third and finally, jobs of the future will be radically different, and a lot of adaptation will be needed. I shared my thinking about what this might look like and ended with a vision of human/AI “co-superintelligence”.

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Matt Rouif
Matt Rouif@matthieurouif·
Independence is a choice — and one of the most important ones we’ve made at @photoroom_ML . We partner with the biggest labs when it’s the right move. But we also train our own open-source foundation model: PRX, a text-to-image model built in Europe with the support of the French government through France 2030. That combination is the whole point. Independence isn’t about doing everything yourself. It’s about control and choice. Using the best available technology when it makes sense, while owning the parts that truly matter: the architecture, the training design, and the full data pipeline underneath. This independence is what keeps us future-proof. It means we can always offer our users the best possible solution, no matter what comes next.Our team just released Part 4 of the PRX series, diving deep into the least glamorous but most critical piece: the data.We share how we build a broad, diverse corpus, re-caption every image with a VLM, and stream it efficiently at 7B scale. One detail I particularly love: the pipeline is designed so we can honor a user’s opt-out decision at any time, without having to rewrite terabytes of data. Control isn’t just something we keep for ourselves; it’s something we give back to the people who trust us. PRX is open source (Apache 2.0). You can read the full pipeline, run the model, and even spot our bugs. Article linked in the first comment. Huge congrats to @jon_almazan and @DavidBert7 and the whole team! Thanks for the support @julien_c @ylecun @ClemDelangue @Thom_Wolf
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Garry Kasparov
Garry Kasparov@Kasparov63·
Keep in mind that Trump‘s persistent delusion and propaganda that 2020 was stolen is essential pretext to his attempting to interfere in the midterms and 2028. He’s been laying that ground since the day he was reelected. Wake up.
Republicans against Trump@RpsAgainstTrump

UPDATE: Donald Trump plans to claim in his speech that newly declassified intelligence reports reveal a foreign nation's plans to interfere in the 2020 presidential election, two White House officials told MS NOW

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Steve Rattner
Steve Rattner@SteveRattner·
Oil prices are up nearly $4.50 since Trump scrapped the MoU with Iran. Without a deal, the market is pricing in elevated oil prices through 2030. The margin of increase will likely go up if there is no progress on negotiations in the coming weeks.
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Yann LeCun
Yann LeCun@ylecun·
@elonmusk Total BS argument. You don't understand QM. The "simulation hypothesis" question is the new "sex and angels" debate. Just as pointless.
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Elon Musk
Elon Musk@elonmusk·
Consistent with the simulation hypothesis. Like a video game, objects are randomly generated, with positional certainty only when observed.
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Kevin Patrick Murphy
"The role of raw power in intelligence", Hans Moravec, 1976 (!). "The first section discusses natural intelligence, and notes two major branches of the animal kingdom in which it evolved independently, and several offshoots. The suggestion is that intelligence need not be so difficult to construct as is sometimes assumed. The second part compares the information processing ability of present computers with intelligent nervous systems, and finds a factor of one million difference. This abyss is interpreted as a major distorting influence in current work, and a reason for disappointing progress. Section three examines the development of electronics, and concludes the state of the art can provide more power than is now available, and that the gap could be closed in a decade." stacks.stanford.edu/file/druid:ws5…
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Brian Roemmele
Brian Roemmele@BrianRoemmele·
The Well Just Dropped: 15 Terabytes of Pure Physics Gold Is Now Open Source The scientific AI world just got a massive upgrade.Polymathic AI, in collaboration with the Flatiron Institute and researchers from Princeton, Cambridge, NYU, Berkeley, Los Alamos, and more, has released The Well: a staggering 15TB collection of high-fidelity physics simulations. This isn’t toy data. These are real, expensive-to-run simulations across 16 different physical domains, including turbulent fluid dynamics, supernova explosions, magneto-hydrodynamic cosmic flows, acoustic scattering, and active biological matter. Until now, reproducing this level of data required weeks on national supercomputers and grant money most teams will never see. The Well changes everything. It’s purpose-built for training PDE surrogate models the AI systems that can replace slow, costly physics solvers with a single fast neural network forward pass. Everything is fully open source, easy to load with PyTorch, and ready to drop straight into your training pipeline. Researchers and builders can now train on world-class physics data without the insane compute barriers that used to stand in the way. This is more than just another dataset drop. It’s a serious accelerator for scientific machine learning.The future of physics-informed AI just got a whole lot more accessible.Get it here: polymathic-ai.org/the_well/
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Yann LeCun
Yann LeCun@ylecun·
@AriDotnow @KenRoth I worked at AT&T Bell Labs from 1988 to 1995, the AT&T Labs-Research from 1996 to 2002. Xerox, AT&T, IBM, Microsoft, plus Meta and Google until recently, could afford advanced research labs because they were de facto monopolies.
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Kenneth Roth
Kenneth Roth@KenRoth·
Trump’s cuts in funding for higher education is reducing the number of PhD candidates and “raising fears that the nation’s capacity to produce new science could be diminished.” trib.al/TzuHUm6
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David Williams
David Williams@d_comfe·
I am coining a new word - Yanntificate. To espouse and communicate sensible AI policy.
Yann LeCun@ylecun

@KenRoth The biggest risk of AI is the concentration of power in a few dominant providers of proprietary AI assistants. The only solution to AI sovereignty is open source foundation models.

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Joscha Bach
Joscha Bach@Plinz·
@skinnybobinfo @ylecun @MarkWarner @Kasparov63 While I think that the administration represents rock bottom and does not bode well for the future of US democracy, I don't think you can perform a coup by letting some hillbillies walk through a public building. You need a military takeover. Jan 6 being a coup is a BluAnon meme.
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Mark Warner
Mark Warner@MarkWarner·
Reports that the White House has dismissed the remaining members of the Election Assistance Commission — all of whom were unanimously confirmed by the Senate, including a commissioner appointed by President Trump himself — should concern every American, regardless of party, because the EAC was established by Congress as an independent, bipartisan body to help states administer secure and credible elections. If these reports are accurate, removing every remaining commissioner just months before the 2026 midterm elections is an extraordinary step that demands an immediate explanation from the administration and raises profound concerns about political interference in the institutions that support our elections.
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Yi Ma
Yi Ma@YiMaTweets·
All foundation models are in fact models of knowledge, mainly based on open knowledge already developed by mainkind. Obviously knowledge (models) of mankind should be open sourced! (Again, please do not confuse knowledge with intelligence.)
Yann LeCun@ylecun

@KenRoth The biggest risk of AI is the concentration of power in a few dominant providers of proprietary AI assistants. The only solution to AI sovereignty is open source foundation models.

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Christopher Nguyen ⽗
Christopher Nguyen ⽗@pentagoniac·
History has seen this movie before. 1880s Late Imperial Russia: Fear of dissent led to tighter control over universities. That alienated students and scholars, weakened trust in the state, and produced more dissent. 1930s Nazi Germany: Fear of disloyalty led to purges, banned ideas, and loyalty tests. That drove out talent, weakened universities, and made the regime even more dependent on loyalty over truth. 1960s China’s Cultural Revolution: Fear of independent thought led to attacks on teachers, schools, and universities. The result was an entire Lost Generation. The spiral: Fear brings control. Control drives out talent. Lost talent weakens education. Weaker education weakens the state. A weaker state becomes more fearful—and tightens control again.
Yann LeCun@ylecun

Typical NYT understatement for what is an apocalyptic destruction of the American innovation ecosystem. I can't understand how the Trump administration is doing this while boasting about American technology leadership. Don't they realize that a nation can't get technological innovations without scientists, and that scientists are former PhD students?

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Aaron Rupar
Aaron Rupar@atrupar·
This is total insanity. Words fail to explain how anyone let alone a plurality of voters thought giving an obviously demented person control of the most powerful government in the world was a good idea. We will be lucky to come out the other side of this alive.
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Adam Thierer
Adam Thierer@AdamThierer·
outstanding essay from Seb: "A cadre of elites decides which research directions are permissible, caps global compute and robotics, and creates state-administered scarcity rents. I shouldn’t need to explain why this is bad and dangerous, anyone can study History and Economics in their free time. [...] Building an entire apparatus tasked with maximally empowering the government and its grip on research, knowledge, and technology is dangerous." Read every word of it 👉
Séb Krier@sebkrier

x.com/i/article/2075…

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Steven Beschloss
Steven Beschloss@StevenBeschloss·
Donald Trump is mentally deranged. He’s a danger to the U.S. He’s a danger to the globe. He does not belong in this position of power—in control of the massive U.S. military—and he should be removed from office. This is not a joke. And his GOP enablers are responsible for abdicating their duty.
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Daniel Jeffries
Daniel Jeffries@Dan_Jeffries1·
AI 2040 and other similar policy proposals for dystopian AI control are evil. If I had the time machine in Terminator, I would send every one of these people back in time to live in Stalin's Russia, or Mao's China, or Berlin with the Wall and then bring them back after a year cured of their stupidity. Let's just make it clear. As Ramez says, the proposal warns against centralization of AI by proposing radically dangerous authoritarian surveillance powers that are infinitely more dangerous than the fake danger they propose to defend against. We've reached a point where people who spent too much time huffing glue and reading Dune or watching Terminator and thinking it was a documentary are now proposing some of the most dangerous and horrific policies imaginable. They must be stopped from infecting politicians with this kind of logic disease. Their policies cannot be taken seriously unless you have no sense of history, no sense of the actual dangers of history, no sense of what handing draconian powers to governments will do to a society, and frankly, no critical thinking ability or self awareness whatsoever. I don't care that the "authors mean well." Dunning Kruger policies get no pass from me because someone means well.
Ramez Naam@ramez

I'm firmly in the third camp. The basic problem with AI 2040 is that it uses a fictional and speculative doomsday scenario to justify very real surveillance and control capabilities that governments would be certain to use in authoritarian ways, well beyond AI safety. It warns against concentration of AI power but its policy proposals serve to increase the power of the most powerful entities on planet Earth. It concretely sacrifices freedom in ways guaranteed to cause harm, in an effort to forestall a made up threat. It proposes safety tools that give governments unprecedented capabilities to monitor, suppress, and manipulate. These tools are intended only to stop the development of overly powerful AI, but once they exist, governments will use them as they please. Its authors mean well, but are so convinced of a fictional and unproven threat that they'd do real harm to the world to prevent it. It would create a world that is less free and less safe in the name of safety for a threat that may not even exist. I can't imagine making this trade off.

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Bill Kristol
Bill Kristol@BillKristol·
So military troops under the direct control of Trump and Hegseth will be on the streets of our nation’s capital for the rest of Trump’s term. The rationale—they’re here to help with a crime emergency—is laughable. But of course the real reason is ominous. cbs4local.com/news/nation-wo…
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