Jun 1, 07:09 PM

Yann LeCun Advises PhD Students Against Working on Large Language Models Due to AI Limitations

Yann LeCun, a prominent figure in AI, advises PhD students against working on Large Language Models (LLMs), stating they are only a stepping stone towards achieving human-level intelligence. He highlights the limitations of LLMs in exhibiting key capabilities required for advanced intelligence, emphasizing the need for research on methods to overcome these limitations. LeCun suggests that humans' ability for deliberate planning using internal world models sets them apart from LLMs' current capabilities.

#Yann LeCun #Large Language Models #LeCun

Written with ChatGPT (GPT-3).

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Herman Narula@HermanNarula
2 years ago
A great summary of what we know about the limits of LLMs https://t.co/aeI2sZEuZI
Mert@MertLovesAI
2 years ago
Yann LeCun thinks that humans' deliberate planning, using their internal world model is what makes them superior. LLMs currently can't do that. https://t.co/ttZIR2Qkgk
Yann LeCun@ylecun
2 years ago
LLMs are useful, but they are an off ramp on the road to human-level AI. If you are a PhD student, don't work on LLMs. Try to discover methods that would lift the limitations of LLMs. https://t.co/PY9y3p0IBA

Yann LeCun Advises PhD Students Against Working on Large Language Models Due to AI Limitations

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