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Sam Pasupalak's Manifesto Calls for World Models Beyond LLMs
Sam Pasupalak has published a manifesto arguing that large language models alone are insufficient for advanced AI, and that the field should build world models that understand physical reality, causality and dynamics rather than relying purely on text prediction. The piece is drawing attention among AI researchers and commentators debating what the next stage of AI architecture should look like.
Why now: Ongoing debate in the AI community over whether LLMs are enough or new world-model approaches are needed
Sam Pasupalakworld modelslarge language modelsartificial intelligence
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