© 2026 Hashnode
There is a popular assumption baked into many agentic AI systems: if an agent doesn't succeed on the first attempt, just let it try again. Give it more turns. Sample more trajectories. Add a reflection step. More compute at inference time should mean...

Last spring, a research team gave a large language model agent a list of real, unpatched web application vulnerabilities and a sandboxed environment in which to work. The model did not merely identify the flaws. It exploited them — autonomously, end-...
