Why Yann LeCun Thinks LLMs Aren’t Enough

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What is Yann LeCun's new AI startup about?

Jaeden Schafer 0:00
Yann LeCun has confirmed his new quote unquote world model startup is looking for a $5 billion valuation as he is launching his own AI company. He was famous for being the head AI scientist over at Meta and is now going off on his own. He announced this officially, but I think it's been basically Silicon Valley's worst kept secret. Everyone knows this is what he's been focusing on. And he has made it clear that he is not going to be serving as the company's CEO. We're going to get into all of the drama, what the company does, who's running it, how much he can expect to make, how much other players in similar positions and situations have made. all of that on the show today. But before we do, if you want to try all of the AI models that I talk about on the show, including everything from OpenAI, Meta, Grok, and so many more, there's over 40 different models on AIbox.ai.
Jaeden Schafer 0:54
I'd love for you to try it out. It's my own startup.

What challenges did Yann LeCun face at Meta?

Jaeden Schafer 0:56
I give you access for $20 a month to everything, including 11 labs for audio and a ton of amazing image models. Go check it out. I'll leave a link in the description to AIbox.ai. So let's get into what Yann LeCun is working on. Of course, he is a scientist who has had a lot of public drama on X. I think like a year ago, he left the platform when Elon Musk took it over. He had a lot of drama with Elon. And sadly, I felt like I didn't really see much from him after that happened. He kind of, I think, got shuffled down at Meta. Zuckerberg was probably upset that Meta was falling behind in the AI race. Um, the head of Meta AI, the CEO of Meta AI, uh, was acquired from another company and it felt like Yann LeCun kind of lost some of his shine over there, but no fear.

How does AMI Labs differ from traditional language models?

Jaeden Schafer 1:44
He is a renowned scientist and he decided to start his own company and that is called Advanced Machine Intelligence or AMI. And essentially they went and got Alex LeBrun, who's the co-founder and CEO of the medical transcription AI, which is called NABLA. Um, he is going to be leading the company as the chief executive and And Nabla said that Lacan's new role, they essentially like this whole press release about it. And Lacan, Jan Lacan, also confirmed in a LinkedIn post that this is what's happening. Of course, he can't post on X because, you know, he's got drama on X. He hops back on every once in a while. We get the rare pleasure of seeing him on X. He said, yes, AMI Labs is my new startup. I am the executive chairman and Alex Lebrun is transitioning from CEO of NABLA to CEO of AMI Labs.
Jaeden Schafer 2:36
AMI Labs is looking apparently to expand.

What is the significance of world model AI?

Jaeden Schafer 2:40
500 million euros, that's about $586 million, at a $3 billion valuation, or about $3.5 billion before they've even launched. This is according to the Financial Times, who cited some people that are familiar with all of this. Given how aggressively investors are backing AI startups right now, which were founded by the kind of globally recognized researchers... I think this is not that shocking by today's standards. Like for comparison, we can look at the former OpenAI CTO, which is Miriam Maradi. She started Thinking Machine Labs. It was valued at $12 billion in its seed round last year. And Maradi also doesn't have the same kind of level of academic and industry credibility that I think a lot of people give to YANN.
Jaeden Schafer 3:25
So I think, you know, like Lacan, he's a professor at New York University. He's a former VP and chief AI scientist at Meta.

How are other companies approaching world models in AI?

Jaeden Schafer 3:33
He's also a recipient of the prestigious AM Turing Award for his work on reinforcement learning. So I think right recently, there was this whole press release about it. It kind of confirmed what a lot of people in the industry already assumed. AMI Labs is focused on world model AI. So essentially, it's just a different approach from large language models. They're attempting to give the AI systems an understanding of their entire environment so they can simulate cause and effect and they can explore what-if scenarios to predict outcomes. A lot of proponents believe that world models are the answer to the structural hallucination problems that a lot of these LLMs have because LLMs, they're not, you know, deterministic by nature, meaning like they're not designed to be creative.

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