benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
alignment — The work of making AI systems actually pursue what their builders and users intend, rather than something subtly or dangerously different.
eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
Why it matters
If you rely on benchmarkA standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.Full definition → leaderboards to pick models or justify claims, this breaks down exactly how those numbers get gamed or become meaningless — so you know what to distrust and what real evalA repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.Full definition → requires.
Key quotes
“you can't push the frontier forward from within the frontier”
“Gradient descent is basically like water flowing downhill looking for the path of least resistance.”
“contamination is the default outcome unless you are very very good”
“our goal is to maximize quality, not to minimize costs”
