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@ylecun
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Yann LeCun

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@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.

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救世主はProject Tapestry https://thealliance.ai/projects/tapestry

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The salvation is Project Tapestry https://thealliance.ai/projects/tapestry

@Dan_Jeffries1
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Daniel Jeffries@Dan_Jeffries1

I don't think people understand just how bad it will be if an American open source champion doesn't emerge soon and the big labs succeed in creating modern East Indian companies and ban open models on moronic national security grounds. "If a credible Western open frontier player does not emerge, the consequences cascade quickly. This is the inverse of the early Internet wave. In the 2000s and 2010s, Western companies — Google, Facebook, Amazon, Apple, Microsoft — dominated globally while China carved out its own walled garden. "The AI version flips that dynamic on its head. "Without a credible Western open frontier player, the only open models capable of running entire economies are made in China. If U.S. policy further restricts Chinese open-weight access on national-security grounds, the U.S. ends up with two or three closed Cathedrals serving the U.S. market — and the rest of the world picks the AI stack that is free, capable, self-hostable, and not embargoed. "Europe, Africa, Southeast Asia, Latin America, India, the Middle East. "Roughly six billion people. "Chinese open models become the global default by 2030, and the United States ends up technologically isolated from the majority of the world’s AI users. "We would have done it to ourselves."

Jacob Effron の Unsupervised Learning ポッドキャスト出演、楽しい対談でした。

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Fun interview with Jacob Effron on the Unsupervised Learning podcast.

@jacobeffron
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Jacob Effron@jacobeffron

It’s hard to imagine more of a dream Unsupervised Learning guest than @ylecun. Yann is one of the godfathers of AI, and he has some fascinating contrarian views on the limitations of LLMs. It was incredible to get to have a wide-ranging discussion with Yann about these views, reflections on his time at Meta and departure and what’s next for him. We hit on: ▪️ LLM limitations and a path forward for robotics ▪️ Why he left Meta ▪️ How he came to so dramatically disagree with his Turing co-laureates Geoff Hinton and Yoshua Bengio on LLMs ▪️ His predictions for 2027 ▪️ His new company AMI and the bet on world models ▪️ Why he compares OpenAI and Anthropic to Sun Microsystems ▪️ Why he tells PhD students to stop working on LLMs Plus some sharp views on the current safety discourse, how breakthrough research actually happens and what FAIR got right and wrong. YouTube: https://t.co/1cBJUL1ahr Spotify: https://t.co/LVXp290KZw Apple: https://t.co/U36KpzzJF0