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18min chapter
Stephen Wolfram Reflects on What Is ChatGPT Doing... And Why Does It Work?
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Unraveling the Unpredictability of LLMs
This chapter explores the intricate challenges posed by large language models (LLMs), particularly their unpredictability and potential for misuse. It discusses the concept of computational irreducibility, the limitations of regression testing, and the philosophical implications of AI hallucinations. The speaker advocates for the use of supervisory LLMs and emphasizes the need for clarity and reliability in information processing as AI continues to evolve.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode