Jaeden Schafer

So I think, you know, like Lacan, he's a professor at New York University.

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.

He's a former VP and chief AI scientist at Meta.

He's also a recipient of the prestigious AM Turing Award for his work on reinforcement learning.

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.

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.

It kind of confirmed what a lot of people in the industry already assumed.

AMI Labs is focused on world model AI.

AMI Labs is focused on world model AI.

So essentially, it's just a different approach from large language models.

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.

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.

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.

They can never be fully trusted not to just make up information.

They can never be fully trusted not to just make up information.