That said, while I 100% agree with him that LLM's won't lead to human-like intelligence (I think AGI is now an overloaded term, but Yann uses it in its original definition), I'm not fully on board with his world model strategy as the path forward.
That said, while I 100% agree with him that LLM's won't lead to human-like intelligence (I think AGI is now an overloaded term, but Yann uses it in its original definition), I'm not fully on board with his world model strategy as the path forward.
can you please elaborate on your strategy as the path forward?
Build attention-grabbing, monetizable models that subsidize (at least in part) the run up to AGI.
Nobody is trying to one-shot AGI. They're grinding and leveling up while (1) developing core competencies around every aspect of the problem domain and (2) winning users.
I don't know if Meta is doing a good job of this, but Google, Anthropic, and OpenAI are.
Trying to go straight for the goal is risky. If the first results aren't economically viable or extremely exciting, the lab risks falling apart.
This is the exact point that Musk was publicly attacking Yann on, and it's likely the same one that Zuck pressed.
That's the point of it. You need to take more risk for different approach. Same as what OpenAI did initially.
Secondly, it's not clear that the current LLMs are a run up to AGI. That's what LeCun is betting - that the LLM labs are chasing a local maxima.