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Francois Chollet, Mike Knoop - LLMs won’t lead to AGI - $1,000,000 Prize to find true solution
Dwarkesh Podcast
Focus on Adaptability for AGI Recognition
Skepticism surrounds the ability of large language models (LLMs) to achieve significant benchmarks swiftly, emphasizing the importance of adaptability and originality in tasks beyond their training data. Relying on memorization through overlapping training tasks does not signify true advancement. A critical indicator of progress towards artificial general intelligence (AGI) would be the model's capacity to handle novel tasks on the fly and efficiently acquire new skills, demonstrating genuine flexibility and learning abilities.
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