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#219 – Toby Ord on graphs AI companies would prefer you didn't (fully) understand

80,000 Hours Podcast

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The Scaling Paradox in AI

This chapter explores the complexities of the scaling paradox in artificial intelligence, focusing on the nuanced relationship between compute power and error reduction in AI models. It critiques existing scaling laws and highlights the substantial computational investments required to achieve meaningful progress while revealing the challenges faced by AI companies in justifying these resources. Furthermore, the discussion emphasizes the need for consumers to critically evaluate AI advancements amidst marketing exaggerations and the blurred lines between genuine innovation and hype.

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