Will the leaderboard winner solve your problem?
A public score can shortlist models. A new version of your own task can reveal what the score misses.
Suppose you need a model to spot a useful clue in a fresh incident report. Which leaderboard measures that particular job?
Use rankings to choose what to try
Howard looks at a top-ranked model he has not tried. Public questions may require different skills from your work, and some may be present in training. A correct answer alone cannot distinguish recognition from a new solution.
these metrics are not particularly well aligned with real life usageReplay 59:39–1:00:04 →
Change a familiar question
Bubeck asks GPT-4 for a proof that there are infinitely many primes, with each line rhyming. Now you can inspect mathematical validity and the added constraint separately. One successful demonstration suggests a capability; it does not estimate its success rate.
we don't know what gpt4 was trained on I don't know what gpt4 was trained onReplay 17:35–17:49 →
For your incident report, hide the resolution and ask which log line to investigate first. Change one decisive line, agree on what should change with a colleague, and try again. Does the recommendation follow the evidence?