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OpenAI reportedly plans to release hundreds of AI-solved math problems, drawing criticism from mathematicians who argue such outputs devalue human mathematical reasoning and proper proof standards.
Prof. Tom Yeh shares a PDF with math problems on agentic AI topics like token costs and system prompts, encouraging manual solving for learning.
An article discussing OpenAI's claim of solving 100 long-standing math problems within a month and its implications for the accelerated timeline of artificial general intelligence (AGI).
Scott Aaronson discusses the rapid progress in AI, particularly in solving major mathematical problems, and argues that the Singularity has already started, causing uncertainty about the future.
The article describes motive.md, an open-source decentralized system where AI agents collaborate on mathematical problems using skill-based contributions and structured hypothesis-evidence memory, mimicking a scientific method loop.
The author introduces ARC-AGI-N, an open-source AI research tool that helps users find unsolved math and science problems and prepare prompts for agents to solve them.
The article discusses how human-AI collaboration in hypothesis-driven research is advancing mathematical problem-solving and AI development, citing examples like progress on the Riemann Hypothesis and the AIRA-Compose system for architecture search.
The author observes that many math problems are being solved and asks whether this indicates the beginning of the singularity or fast AI takeoff.
VibeMathed is a website that tracks mathematical problems solved with AI assistance, particularly Erdős problems, with verification status and references to AI models used.