As someone who sees a lot of LLM & security research, this keynote is a nice summary of where LLMs will likely (or have already) add value, and where they will never help, regardless of LLM ability.

In short, using LLMs to generate inputs is orders of magnitude too slow to outpace the shear speed of random/semi-random mutation. Using LLMs to generate fuzzing harnesses, and to build generator logic that generates inputs will pay off, LLMs can ingest specs, code, and revise their output to get around coverage blocks.