CEOInterviews.AI
Start App
Try: AI strategy tariffs earnings guidance layoffs interest rates growth

Yann Lecun

Co-Founder & Executive Chairman, Ami Labs

Search every verified Yann Lecun interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Yann LeCun, co-founder and executive chairman of Ami Labs (Advanced Machine Intelligence), has been discussing the company's research phase and its development of "world models" based on the JEPA (Joint Embedding Predictive Architecture) concept. In a September 2026 interview at AIM 2026, he stated that Ami Labs, which employs between 50 and 60 people across Paris, New York, Montreal, and Singapore, has no short-term product plans and is focused on developing technology that can understand reality and predict consequences of actions, with initial advances expected as scientific work before potential industrial, robotics, and health applications. He also advocated for open AI to preserve sovereignty and diversity, and called on France and Europe to increase investment in computing, research, talent, and venture capital. LeCun has continued to express skepticism about large language models (LLMs) as a path to human-level intelligence, arguing that they lack understanding of the physical world, persistent memory, reasoning, and planning capabilities. He has criticized the term "AGI" as "complete nonsense," preferring "human-level AI" or "advanced machine intelligence," while stating he has no doubt machines will eventually match human intelligence across all domains. He has also argued that provably safe AI is impossible, comparing it to a provably safe turbojet, and suggested that AI's impact on humanity could be comparable to the invention of the printing press. At a Sciences Po conference in September 2026, he discussed JEPA as a method for systems to learn abstract representations of reality by eliminating unpredictable details and predicting in that abstract space, framing world models as causal models.

Recent appearances

  • How Far Can Artificial Intelligence Really Go? | Yann LeCun - World Governments Summit

    "How far are we really from the next generation of artificial intelligence? Dr. Yann LeCun, Turing Award Laureate and Vice President & Chief AI Scientist at Meta, explores the future of AI and why today’s systems may still be far from achieving true intelligence. In this conversation, he discusses the limitations of large language models, the breakthroughs needed to move AI forward, and why building machines that can understand the world remains a major challenge. In this video: The future of artificial intelligence Why today’s AI is still limited The future of large language models What c…

    Watch on YouTube ↗

  • [Long version] World Models, a game changer? With Yann LeCun | AIM 2026

    On the occasion of AIM 2026, Yann LeCun explains that AmiLabs, still in the research phase, is developing 'world models' based on JEPA so that systems can understand reality and predict the consequences of their actions, beyond the limits of LLMs. The first advances should appear in the form of scientific work, then serve industrial applications, before possible uses in robotics and health, without a precise timeline. He also advocates for open AI to preserve sovereignty and diversity, and calls on France and Europe to invest more in computing, research, talent, and venture capital. #AIM #I…

    Read the verified transcript → Watch on YouTube ↗

  • Yann LeCun: Where Is Artificial Intelligence Heading?

    For its latest major conference, Sciences Po is honored to welcome Yann LeCun, Executive Chairman of Advanced Machine Intelligence and Turing Award laureate, for a high-level discussion on the present and future of artificial intelligence. Speaker: Yann LeCun, Executive Chairman of Advanced Machine Intelligence and Turing Award laureate The discussion will be moderated by Éric Hazan, founder of Ardabelle Capital. 📅 Wednesday, September 16, 2026, from 6:30 p.m. to 8:00 p.m. 📍 Sciences Po – Émile Boutmy Amphitheater 27, Saint-Guillaume Street, 75007 Paris ---- Sciences Po is a selective, int…

    Read the verified transcript → Watch on YouTube ↗

  • Yann LeCunn: Why AGI is a DANGEROUS Misnomer!

    Yann LeCun, the Turing Award winner who built the foundations of modern AI, says calling it AGI is complete nonsense and the systems everyone fears are very shallow. If he is right, the trillion-dollar bet on large language models never reaches human-level intelligence. Yann LeCun won the Turing Award, founded FAIR, and now leads AMI Labs, the billion-dollar startup betting against LLMs. We cover: why human intelligence is too specialized for AGI to mean anything, the 5-to-6-year best case for human-level AI and why every prediction before it failed, why manipulating language turned out to be…

    Read the verified transcript → Watch on YouTube ↗

  • Workshop on World Models - Day 1 (WM@Booth 2026)

    Day 2 - https://youtube.com/live/j_AujLxYUJc Day 3 - https://youtube.com/live/PkaYC3fwEsc Join us for WM@Booth, a three-day workshop hosted by the Center for Applied AI and the University of Chicago Booth School of Business bringing together researchers from computer and social sciences to explore how world models can transform decision-making. Featuring keynote talks on the future of AI, lightning talks, poster sessions, and hands-on coding tutorials — spanning applications in finance, economics, physics, robotics, and more. August 31 – September 2, 2026. 0:00 Breakfast 0:31:45 Opening Rem…

    Read the verified transcript → Watch on YouTube ↗

  • Yann LeCun: Stop Trying To Prove AI Is Safe!

    Meta's chief AI scientist says a provably safe AI is as impossible as a provably safe turbojet. We build turbojets anyway. What replaces the proof is a system that cannot be jailbroken by construction, and the reason is not a safety patch. Yann LeCun is Meta's chief AI scientist and a Turing Award winner. Please join my mailing list here 👉 https://briankeating.com/yt to win a meteorite 💥 We cover: why the search for provable AI safety is the wrong goal, what an objective-driven system does that a language model cannot, why human law is the closest thing we have to a working guardrail, and wh…

    Read the verified transcript → Watch on YouTube ↗

  • #416 – Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI

    Yann LeCun is the Chief AI Scientist at Meta, professor at NYU, Turing Award winner, and one of the most influential researchers in the history of AI. Please support this podcast by checking out our sponsors: – HiddenLayer: https://hiddenlayer.com/lex – LMNT: https://drinkLMNT.com/lex to get free sample pack – Shopify: https://shopify.com/lex to get $1 per month trial – AG1: https://drinkag1.com/lex to get 1 month supply of fish oil Transcript: https://lexfridman.com/yann-lecun-3-t... EPISODE LINKS: Yann’s Twitter:   / ylecun   Yann’s Facebook:   / yann.lecun   Meta AI: https://ai…

    Read the verified transcript → Watch on YouTube ↗

  • Yann LeCun: Deep Learning, Convolutional Neural Networks, and Self-Supervised Learning

    Yann LeCun is one of the fathers of deep learning, the recent revolution in AI that has captivated the world with the possibility of what machines can learn from data. He is a professor at New York University, a Vice President & Chief AI Scientist at Facebook, co-recipient of the Turing Award for his work on deep learning. He is probably best known as the founder of convolutional neural networks, in particular their early application to optical character recognition. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast g…

    Read the verified transcript → Watch on YouTube ↗

  • Yann LeCun’s Meta Exit and the End of Open Source AI for the U.S.

    At the last edition of Vivatech, AI pioneer Yann LeCun talks about the reasons behind his departure from Meta, Meta's new goals and the impact on American open-source AI supremacy. We also learn about LeCun's next chapter: Advanced Machine Intelligence (AMI) Labs and Project Tapestry's global push for AI sovereignty.

    Read the verified transcript → Watch on YouTube ↗

  • Fireside Chat with Yann LeCun, Executive Chairman of AMI Labs | RAISE Summit 2026

    Turing Award winner Yann LeCun, Executive Chairman of AMI Labs, sits down with Bloomberg's Tom Mackenzie for a ...

    Read the verified transcript → Watch on YouTube ↗

  • World Models: Post-LLM AI, explained by Yann LeCun

    The Future of AI According to Yann LeCun: World Models, LLM, Open Source, and Sovereignty Has Generative AI (LLM) already reached its limits? Why will ChatGPT never truly understand real-world physics? 🚨 For this final episode of season 1 of À la French, Jean-Baptiste Kempf, Steeve Morin, and Mehdi Medjaoui welcome the undisputed master of Artificial Intelligence: Yann LeCun, 2018 Turing Award winner, considered one of the three fathers of AI, former Chief AI Scientist at Meta, and inventor of convolutional neural networks. Together, they delve into the mathematical and philosophical founda…

    Read the verified transcript → Watch on YouTube ↗

  • #416 – Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI

    Yann LeCun is the Chief AI Scientist at Meta, professor at NYU, Turing Award winner, and one of the most influential researchers in the history of AI. Please support this podcast by checking out our sponsors: – HiddenLayer: https://hiddenlayer.com/lex – LMNT: https://drinkLMNT.com/lex to get free sample pack – Shopify: https://shopify.com/lex to get $1 per month trial – AG1: https://drinkag1.com/lex to get 1 month supply of fish oil Transcript: https://lexfridman.com/yann-lecun-3-t... EPISODE LINKS: Yann’s Twitter:   / ylecun   Yann’s Facebook:   / yann.lecun   Meta AI: https://ai…

    Watch on YouTube ↗

Verified interview transcripts

Notable quotes

“The way to think about it is that up until now our data center business has been almost entirely GPUs. Vera is our CPU, and you know what's really exciting is that Vera opens a brand new 200 billion TAM for NVIDIA, a market we have never addressed before, and every major hyperscaler is partnering with us to get it deployed, and that's huge for the company because for the first time we have a second engine of that sca”

“The first thing to say is that these systems, LLMs trained on text, are very limited in their capacity. I have declared for several years that this type of technology is not a viable path towards intelligent systems with intelligence similar to human intelligence. Why? For a very simple reason: the real world, the physical world, is much more complicated than text. It seems paradoxical to us as humans because we thin”

“The people who advocate for the pause are a bit incoherent in the opinions they express. In particular Dario Amodei, who is a bit at the origin of this, followed a bit by Sam Altman, Elon Musk, etc. It's partly to drape themselves in a kind of ethical envelope to show people, you see, we are really responsible. We could just maximize the speed of progress to make money, but we are so responsible that we decided to sl”

“The idea somehow that intelligence is necessarily associated with a desire to dominate is just false. To have a desire to dominate or not a desire, but just even dominate by accident. There has to be some hardwired drive into the entity for competition for resources, for example, or for influencing other entities to be able to profit from it or whatever. And this is a characteristic. The desire to dominate is a uniqu”

“I resisted the use of the phrase AGI. Yeah, the reason is not that I don't believe in the concept that AI system will eventually become as intelligent as humans. I certainly have no doubt that at some point in the future we will have machines that are as intelligent as humans in all the domains where humans are intelligent. There's no question this is what this will happen. Okay, no doubt. It's a matter of time. But ”

“I think that's just as impossible as a probably safe turbojet. You can't prove that the turbojet will be safe. Yet, we can build incredibly reliable turbojets, right? They can fly you halfway around the world in complete safety with only the two engine airplane, right? I mean, that's my bugaboo in terms of technology. But, we can build those things. Like, AI is going to be the same. There's not going to be a magic bu”

The summary and quote tags on this profile are produced with AI assistance from verified, first-person interview transcripts, then checked by our team to confirm the speaker's identity and the accuracy of every quote. See how we verify →