LLM | doing the math for you

Reconstructing Mathematics from the Ground Up with Language Models: An Analysis

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AI reconstructs mathematics: language models autonomously rediscover proofs, conjectures, and reshape how we do math.

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LLM safety limits: prompt filters can be bypassed by adversarial encodings; defense-in-depth, monitoring, and layered controls needed.

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OpenAI trains LLMs to self-report missteps via ‘confessions’, improving honesty and safety with minimal performance cost.

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Self-evolving agents: off-the-shelf models bootstrap via Python REPL and curriculum to dramatically improve math, coding, and reasoning.

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AI glitches: how noisy training data – typos, OCR errors, and rare glitch tokens produce baffling, humorous or harmful LLM outputs.