OpenAI's Head of Post-Training Max Schwarzer Joins Anthropic
Max Schwarzer, VP of Research and Head of Post-Training at OpenAI, leaves after a year leading the team that shipped GPT-5, 5.1, 5.2, and 5.3-Codex to return to RL research at Anthropic.
Reinforcement learning
ByteDance Trained an AI Agent That Writes Faster CUDA Kernels Than You
CUDA Agent uses reinforcement learning trained on actual GPU profiling data to generate optimized CUDA kernels. It beats torch.compile by 2.11x overall and outperforms Claude Opus 4.5 and Gemini 3 Pro by 40 points on the hardest kernels.
OpenClaw-RL Lets You Train a Personal AI Agent Just by Talking to It
Gen-Verse's new open-source framework uses asynchronous reinforcement learning to personalize LLMs through natural conversation - no labeling, no datasets, just feedback.
Today in AI Research: Stable Agent Training, Compound AI Limits, and the Algorithm Trust Paradox
New papers tackle training collapse in agentic RL with a unified stabilization recipe, reveal when querying multiple models actually helps, and expose a paradox where LLMs claim to trust humans but bet on algorithms.
Google DeepMind Uses AlphaEvolve to Discover Entirely New Game Theory Algorithms
AlphaEvolve evolved two novel game theory algorithms - VAD-CFR and SHOR-PSRO - that outperform human-designed baselines across 11 games, using mechanisms no researcher would have designed.
AlphaGo Architect Raises $1B to Build Superintelligence Without LLMs
David Silver leaves DeepMind to launch Ineffable Intelligence, raising $1B in Europe's largest seed round to pursue superintelligence through reinforcement learning instead of large language models.