Most "self-improving" AI agents don't improve

A developer argues that most so-called 'self-improving' AI agents fail to actually improve, citing that many implementations lack proper verification loops and instead produce diminishing returns. The critique highlights a gap between the promise of autonomous improvement and the reality of current agent architectures.

Article URL: https://loadbearingtech.substack.com/p/self-improving-agent-loops-verifier Comments URL: https://news.ycombinator.com/item?id=49012760 Points: 2 Comments: 0