AI Agents Beat PyTorch: Writing Faster CUDA Kernels

Extends time series forecasting beyond Gaussian assumptions by introducing diffusion models to capture complex uncertainty shapes through multi-step sampled rollouts.

OpenAI solved 90 of the top 500 open math problems using only 3 hours of Pro-level compute per question on average, marking a major breakthrough in mathematical AI capabilities.

OpenAI withdrew 3 mathematics research papers due to a sign error in a key argument, while revising 14 others with proof repairs and corrections.

Researchers introduce RECAST, a learned framework that formulates evidence construction as sequential decision process over retrieval and computation operations.

Researchers prove that clipped decentralized SGD achieves optimal convergence rates under heavy-tailed noise conditions while maintaining linear speed-up across agents.