AI trained for under $8,000 beats Stratego's top player
An MIT-CMU-NYU-Stanford team's Ataraxos AI beat Stratego's most decorated human player 15-1-4, trained for under $8,000 using decision-time search instead of massive compute.
12 verified stories covering Reinforcement learning, product updates and industry developments.
An MIT-CMU-NYU-Stanford team's Ataraxos AI beat Stratego's most decorated human player 15-1-4, trained for under $8,000 using decision-time search instead of massive compute.
Xiaomi's MiMo team traced a coding-agent bug where models looped on identical tool calls back to a reinforcement-learning blind spot, and fixed it for about $90,000 instead of a $2.31 million retrain.
DeepSeek's new paper details DSec, the sandbox system behind its agent training that launches about 3 million sandboxes a day at peak concurrency near 380,000.
Xiaomi open-sources MiMo-V2.6, scoring 46 on Artificial Analysis's Intelligence Index after a $3.5 million, six-day reinforcement learning run.
Hugging Face detailed how GRPO reinforcement learning and a 178-image reference pool taught a coding model to paint watercolors for a few hundred dollars.
RLinf v0.3 turns embodied AI training into a fuller pipeline, linking data collection, SFT, reinforcement learning, evaluation and real-robot deployment.
Oak Lab sets a 20-watt goal for continuously learning agents. The piece reviews the verified facts and why the signal matters beyond one announcement.
The reinforcement learning pioneer argues that next-token models lack causality, experimentation and self-generated experience.
David Silver's Ineffable Intelligence has raised $1.1 billion in a seed round at a $5.1 billion valuation, marking the largest seed round in European history. The former DeepMind researcher plans to build a "superlearner" AI through reinforcement learning, diverging from the dominant large language model approach.
Thinking Machines Lab, founded by former OpenAI CTO Mira Murati, has secured a multibillion-dollar deal with Google Cloud for GB300 systems and reached a $12 billion valuation just 14 months after launch.
Sony AI's Ace robot has defeated elite amateur and professional table tennis players in real matches, marking the first time a machine has reached elite-level performance in a competitive sport.
Moonshot AI's K1.5 model, released before K2, demonstrates that pure reinforcement learning can enhance reasoning capabilities, validating the approach for scaling to larger models.