Sutskever and LeCun: Scaling LLMs Won't Yield More Useful Results
SMRTR summary
Two AI leaders, OpenAI co-founder Ilya Sutskever and Meta's Yann LeCun, argue that simply scaling up large language models with more data and compute power is no longer delivering meaningful improvements. Sutskever believes we're entering a new "age of research" where innovation matters more than bigger models, while LeCun goes further, claiming LLMs are fundamentally limited and future AI needs completely different "world model" architectures that understand physics and causality rather than just predicting text.
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