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Yann LeCun

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1102 total appearances
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Podcast Appearances

AI in Business
Yann LeCun Buries LLMs: Meta AI Failure

It's not just like text only training.

AI HR
Yann LeCun Buries Meta AI: LLMs Doomed

It's not just like text only training.

AI in Business
Yann LeCun Buries LLMs: Meta AI Failure

It's built around Lacan's VJPA architecture.

AI HR
Yann LeCun Buries Meta AI: LLMs Doomed

It's built around Lacan's VJPA architecture.

AI in Business
Yann LeCun Buries LLMs: Meta AI Failure

So these systems learn from video and then spatial data.

AI HR
Yann LeCun Buries Meta AI: LLMs Doomed

So these systems learn from video and then spatial data.

AI HR
Yann LeCun Buries Meta AI: LLMs Doomed

and physical interactions.

AI in Business
Yann LeCun Buries LLMs: Meta AI Failure

and physical interactions.

AI in Business
Yann LeCun Buries LLMs: Meta AI Failure

And essentially, they're trying to understand how the world works rather than just predict a word in a model, which honestly, this is definitely the future of AI.

AI HR
Yann LeCun Buries Meta AI: LLMs Doomed

And essentially, they're trying to understand how the world works rather than just predict a word in a model, which honestly, this is definitely the future of AI.

AI in Business
Yann LeCun Buries LLMs: Meta AI Failure

It's a much more complex approach.

AI HR
Yann LeCun Buries Meta AI: LLMs Doomed

It's a much more complex approach.

AI in Business
Why Yann LeCun Thinks LLMs Aren’t Enough

There's a bunch of other top labs and startups like Google DeepMind and Fifi Lee's startup WorldLabs that are also building these world models.

AI in Business
Why Yann LeCun Thinks LLMs Aren’t Enough

And I think like if we're comparing it to that, AMI's fundraising ambitions do look pretty bold.

AI in Business
Why Yann LeCun Thinks LLMs Aren’t Enough

Like these are pretty big.

AI in Business
Why Yann LeCun Thinks LLMs Aren’t Enough

When WorldLabs launched, Lee raised $230 million at a $1 billion valuation.

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

for a number of reasons. The first is that there is a number of characteristics of intelligent behavior. For example, the capacity to understand the world, understand the physical world, the ability to remember and retrieve things, persistent memory, the ability to reason, and the ability to plan. Those are four essential characteristics of intelligent systems or entities, humans, animals.

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

for a number of reasons. The first is that there is a number of characteristics of intelligent behavior. For example, the capacity to understand the world, understand the physical world, the ability to remember and retrieve things, persistent memory, the ability to reason, and the ability to plan. Those are four essential characteristics of intelligent systems or entities, humans, animals.

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

for a number of reasons. The first is that there is a number of characteristics of intelligent behavior. For example, the capacity to understand the world, understand the physical world, the ability to remember and retrieve things, persistent memory, the ability to reason, and the ability to plan. Those are four essential characteristics of intelligent systems or entities, humans, animals.

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

LLMs can do none of those, or they can only do them in a very primitive way. They don't really understand the physical world. They don't really have persistent memory. They can't really reason, and they certainly can't plan. If you expect the system to become intelligent just without having the possibility of doing those things, you're making a mistake.

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