preach it

AFL didn't find more vulnerabilities than LLMs. AFL and skilled practitioners found vulnerabilities. AFL triggers faults, many (most?) of which aren't exploitable, and humans (or, now, agents) have to triage and evaluate them. And they did so in a pre-AFL corpus of memory-unsafe software. The heyday of AFL was a decade ago. Every target is harder now.

My guess is the models just continue to get better and better

When I got into agentic coding a year or two ago I was sure it was only good at autocomplete. Something happened earlier this year where the models hit a new level of capability.

Everyone I know now just does agentic coding, and it’s really amazing. I think we should just try pushing this as far as we can possibly go, it really feels like the acceleration of the human race is upon us.

> They are a highly sophisticated statistical model designed to mimic the distribution of programming

Are we really still doing this?