LLMs replacing podcasts as a source of information poses a real disruption to podcasting.

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Our reading — they may agree, disagree or merely touch the same thing. Closest first: a shared subject counts for most, then how near the wording is.

• A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. AKAndrej Karpathy12 Feb 2026LLMsOpenAIFounding member of OpenAI and former director of AI at Tesla
• The memorize-fetch-apply paradigm behind LLMs can reach arbitrary skill given training data, but it cannot adapt to novelty or acquire new skills on the fly. FCFrançois Chollet20 Dec 2024LLMsOpenAICreator of the Keras deep-learning library and the ARC-AGI benchmark
• Work on large language models is not progress toward artificial general intelligence, because the models do not understand what they read. AGAlexey Guzey9 Aug 2024LLMsOpenAIWriter and founder of New Science
• A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. SASam Altman18 Mar 2024OpenAICo-founder and CEO of OpenAI
• A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it. ZMZvi Mowshowitz3 Sept 2026OpenAIWrites Don't Worry About the Vase

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