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#tw-ylecun · 20 条相关内容
行业资讯精选 85

RT by @ylecun: "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." https://stacks.stanford.edu/file/druid:ws563sd6050/ws563sd6050.pdf· 原始计算能力在智能中的作用

<p>"The role of raw power in intelligence", Hans Moravec, 1976 (!).<br> <br> "The first se…

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📎 Yann LeCun🕒 07-12 08:12🔗 rss.xcancel.com
行业资讯精选 45

RT by @ylecun: 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. https://cbs4local.com/news/nation-world/national-guard-washington-dc-pentagon-donald-trump-dc-safe-and-beautiful-mission-metropolitan-police-department-mpd-anti-crime-freedom-250-crime-federal-law-enforcement-emergency-executive-order-7news-district-of-columbia· 特朗普借打击犯罪之名在首都部署军队

<p>So military troops under the direct control of Trump and Hegseth will be on the streets…

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📎 Yann LeCun🕒 07-11 22:45🔗 rss.xcancel.com
行业资讯精选 20

RT by @ylecun: 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.

<p>Donald Trump is mentally deranged. He’s a danger to the U.S. He’s a danger to the globe…

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📎 Yann LeCun🕒 07-11 20:51🔗 rss.xcancel.com
行业资讯精选 83

RT by @ylecun: 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.· 批评2040年AI控制的极权主义提案

<p>AI 2040 and other similar policy proposals for dystopian AI control are evil. <br> <br>…

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📎 Yann LeCun🕒 07-11 19:12🔗 rss.xcancel.com
行业资讯精选 95

RT by @ylecun: 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: https://polymathic-ai.org/the_well/· 15TB 纯物理黄金数据开放源代码

<p>The Well Just Dropped: 15 Terabytes of Pure Physics Gold Is Now Open Source<br> <br> Th…

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📎 Yann LeCun🕒 07-11 09:32🔗 rss.xcancel.com
行业资讯精选 90

RT by @ylecun: 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 👉

<p>outstanding essay from Seb:<br> <br> "A cadre of elites decides which research directio…

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📎 Yann LeCun🕒 07-11 08:49🔗 rss.xcancel.com
行业资讯精选 82

RT by @ylecun: 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.· 控制与学术自由的历史警示

<p>History has seen this movie before.<br> <br> 1880s Late Imperial Russia: Fear of dissen…

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📎 Yann LeCun🕒 07-11 08:02🔗 rss.xcancel.com
行业资讯精选 83

RT by @ylecun: Music is missing its "openai-whisper". It's time that we can turn any music into notes, the same way transcribing speech is now a given. Are we there yet? Let us know after testing MuScriptor 🎶 Work by @simonrouard (@kyutai_labs, @Ircam) and Michael Krause (@MireloAI).· 音乐转录工具 MuScriptor 正在测试

<p>Music is missing its "openai-whisper". It's time that we can turn any music into notes,…

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📎 Yann LeCun🕒 07-10 20:40🔗 rss.xcancel.com
行业资讯精选 82

RT by @ylecun: We're releasing MuScriptor, the best open model for multi-instrument transcription to date, created in collaboration with @MireloAI. Give it a recording in any genre: pop, classical, metal, jazz, whatever, and it transcribes the individual instruments into MIDI. Link in 🧵· 多乐器乐谱转录模型 MuScriptor 开源

<p>We're releasing MuScriptor, the best open model for multi-instrument transcription to d…

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📎 Yann LeCun🕒 07-10 19:18🔗 rss.xcancel.com
行业资讯精选 85

RT by @ylecun: Today, together with @kyutai_labs, we’re introducing our new Audio-to-MIDI model. It takes a finished recording, identifies the instruments playing, and returns separate MIDI tracks for each — voice, drums, bass, keys, and more. Unlike most existing solutions, our model works directly from the full mix rather than requiring separate stems. It also detects chords, key, and tempo, giving producers broader musical context. We’ve written more about the model, the problem, and how it works here: http://mirelo.ai/blog/turning-audio-to-midi· 新 Audio-to-MIDI 模型发布

<p>Today, together with <a href="https://rss.xcancel.com/kyutai_labs" title="kyutai">@kyut…

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📎 Yann LeCun🕒 07-10 19:03🔗 rss.xcancel.com
行业资讯精选 85

RT by @ylecun: We stand at a critical crossroads in the debate over AI governance in the United States, and it feels like we are inching closer to a very serious battle over whether or not open source models will even be allowed in an environment where a new de facto licensing regime has been taking shape. Lacking formal congressional statutory frameworks or clear administration rules (like the diffusion rule revision), we appear to be left with a sporadic, arbitrary, non-transparent process for model review. The fiction of “voluntary” agreements hangs over this debate, and some large model developers are already showing an incredible willingness to bend over backwards to accommodate national security-related officials / orders that the rest of us are not privy to. It's a very opaque process. And those model developers are expected to play ball with those officials, or else their models get pulled from the market or held up for long periods. Or they will lose any government procurement contracts they have. There is nothing “voluntary” about it when that Sword of Damocles hangs in the room. As this mess worsens, at some point the question of how to handle open source models will come into sharper focus because it will have to. I've even heard some rumors lately that something may be coming from the admin on this front to address this. Needless to say, if this informal new AI model review regime expands and takes on more pre-vetting characteristics / requirements, it is hard to see how open source players could comply with such quasi-licensing of AI models. Specifically, if this ambiguous new regime is accompanied by a general presumption of ‘restrict-until-permitted,’ then that would spell doom for open source. That is a very dark path for our country. Worse yet, of course, would be a move by national security officials to more directly restrict open source models and capabilities. If that happens, then we would be right back in the thick of a Clipper Chip-like battle along the lines of what we saw in the late 1990s. That is a much darker path for America. Meanwhile, open source developers have no “golden shares” or other goodies to offer the government to make their problems go away. Let’s be clear: If our government takes the dark path, it will become the single most important battle over computational freedom of modern times. It is time for people to make a stand in defense of open source before it is too late.· 美国 AI 治理与开源模型的未来

<p>We stand at a critical crossroads in the debate over AI governance in the United States…

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📎 Yann LeCun🕒 07-09 23:14🔗 rss.xcancel.com