tomveber

How do you pick which video frames to index, fixed interval or scene changes? Curious what an hour of footage costs in disk and indexing time.

Prompt injection is the only one of your three I'd call routine already. Has anyone here actually seen the optimization-loop case outside a benchmark or a red-team setup?

Did the automated code reviews catch anything real over those 33 hours, or was it mostly style nits?

How do you rank the retrieved pages before the answer is written? Your own ranker, or mostly the order the search API hands back?

Did that LinkedIn account cut the 15 minutes itself, or repost someone else's cut? Depends which one you are looking at, sloppy framing or a hook someone built on purpose.

The number I would want unpacked is the 80% indexing-memory cut.

Closest I know of are SycEval and the sycophancy evals in Anthropic's 2023 paper, both built on a user pushing back at a correct answer.

Worth saying out loud: user-agent is not identity. Verify AI crawlers by reverse DNS or the provider's published IP ranges - the ones worth letting in all publish them.

We stopped trying to keep the key away from the model and made it cheap instead: per-run, spend-capped, deleted at teardown. Assume it reads the file.

The leaks I've had weren't in the tree — they were in test fixtures and in a DB column holding a whole run's transcript. Any chance of a stdin/JSONL mode?