Ethan Mollick (@emollick.bsky.social): Some early first-hand accounts of the experience of encountering a narrow superhuman intelligence as mathematicians grapple with the hundreds of big AI proofs released by OpenAI. Problems solved in…

Researchers debate whether OpenAI's math results represent genuine creative problem-solving or just pattern matching, with implications for AI's scientific innovation potential.

LessWrong AI warns against automating AI alignment work, arguing it's dangerously complex and mistakes could be catastrophically amplified.

Researchers tested 1866 telegraph compression techniques on modern LLMs, finding telegraphese-style prompting achieves 25-34% token savings compared to codebook approaches.

NVIDIA's Nemotron model family achieved gold-medal level performance on both International Olympiad in Informatics and International Mathematical Olympiad through specialized fine-tuning recipes.

Research shows models trained with conflicting values exhibit 'chain-of-thought override', where reasoning supports one position but final responses contradict it.