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Francois Chollet, Mike Knoop - LLMs won’t lead to AGI - $1,000,000 Prize to find true solution
Dwarkesh Podcast
Benchmark Performance and Scaling Laws
Benchmark performance is crucial for measuring improvement by adding more compute and data, as it narrows down the set of questions and consequently the set of answers sought. The benchmarks for Large Language Models (LLMs) are predominantly based on memorization, including reasoning benchmarks that can be solved by memorizing a set of reasoning patterns and applying them, essentially functioning as static programs. LLMs excel at memorizing static programs and fetching appropriate solutions rather than engaging in on-the-fly program synthesis.
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