Claude Opus 4.7 just implemented an AlphaZero-style self-play pipeline from scratch. It did this on consumer hardware in three hours, then b…

Claude Opus 4.7 just implemented an AlphaZero-style self-play pipeline from scratch. It did this on consumer hardware in three hours, then beat the Pascal Pons solver 7 of 8 as first-mover on Connect Four. No other frontier coding agent tested cleared 2 of 8. This paper proposes a new way to evaluate coding agents: hand them a minimal task description, give them a tight budget, and ask them to autonomously rebuild a famous ML breakthrough. Connect Four + AlphaZero is the first instance. It's small enough to run on a laptop and hard enough to require a real research engineering loop (MCTS, neural value/policy nets, self-play, training schedule). We've been measuring coding agents on patches and unit tests. This shifts the bar to "can the agent build a non-trivial ML system end-to-end on its own?" The answer is now yes for at least one frontier model. Paper: https://arxiv.org/abs/2604.25067 Learn to build effective AI agents in our academy: https://academy.dair.ai/

Source: DAIR.AI (X) | 2026-05-02