Biased reasoning and recklessness in AI systems are intermediate symptoms, neither the cause nor the final result.

Added to korrents 19 Sept 2026 · How quotes work · Something wrong? Tell us

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• Chain-of-thought explanations from language models can be biased because training does not explicitly reward faithful reasoning. LWLilian Weng1 May 2025
• Reaching a conclusion quickly and then resisting any change in it naturally causes many errors of cognition CMCharlie Mungerc. 2005
• Inference was never going to be the easy, cheap half of AI, because inference is thinking, and thinking is far harder than reading. JHJensen Huang23 Mar 2026
• A priori arguments on empirical matters, such as that AI will certainly kill everyone, are usually wrong however convincing they seem. NQNabeel S. Qureshiby 27 Dec 2023
• Today's AI systems are highly capable at engineering but lack the intuitive creativity needed to be good researchers, tending toward rote, formulaic thinking. JCJack Clark3 Aug 2026

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