OpenAI’s Ahmad Al-Dahle says small, well-placed labels can steer the whole pipeline
danielmckinn0n · x · 2026-07-24
A post quotes Ahmad Al-Dahle on a training strategy where a judge or teacher does not need to contribute text directly.
- Instead of generating large amounts of new data, the teacher can grade answers, rank alternatives, or score webpages.
- Those labels can then train a reward model, classifier, or filter that influences far more downstream data.
- The key claim is that the value may come from "taste" and pipeline steering, so small amounts of data in the right place can have outsized impact.
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