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Are large language models the path to AGI, or an off-ramp?

AGILLMsscalingYann LeCun

Drawn from Lutz Finger's Forbes column, LinkedIn writing, and Cornell teaching. Sources are cited inline so you can read the originals.

LLMs are powerful and useful, but scaling them may be a detour rather than the road to general intelligence.

I don’t think LLMs are AGI, nor that fully scaling up LLMs is going to get you to AGI. I sort of agree with Yann LeCun that on the path to AGI, LLMs are an off-ramp. I still think we can get there by 2029 or even sooner, because the pace of progress is just insane and there are a lot of other techniques now being tried at smaller scale.

Source: Rethinking the AGI Race, with Benjamin Goertzel (eCornell Keynote)


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