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Thematic readings

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 usage
Jeremy Howard · A Hackers’ Guide to Language Models · Original captions
Replay 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 on
Sébastien Bubeck · Sparks of AGI · Original captions
Replay 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?