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.
Reinforcement learning
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.
