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Mathematician Timothy Gowers recounts how ChatGPT 5.5 Pro produced PhD-level mathematical research in about an hour with minimal human input, solving open problems from a combinatorics/additive number theory paper and prompting him to significantly revise his assessment of LLMs' mathematical capabilities.
The user asks about the internal processes ChatGPT uses to generate essays, specifically whether it synthesizes information and structures arguments like a human or simply copies existing text.
Summary of Andrej Karpathy's talks at Sequoia Ascent 2026, highlighting three key themes: LLMs enabling new horizons beyond speed improvements (e.g., native image processing, .md scripts, unstructured knowledge bases), the economics behind model 'jaggedness' in capabilities, and the emergence of an agent-native economy.