Reverse-derive tasks from valid outcomes: synthetic data trick hits near 100% pass rate
tokenbender · x · 2026-09-16
The author highlights a synthetic data paper that's simple and effective, with a near-100% pass rate, arguing the trick should be used everywhere in synthetic generation. The pattern: produce/collect valid outcomes first, then derive goals likely to produce them, mutate for diversity, verify, and train. The author notes seeing this outcome-first trick several times and considers it a strong general recipe.
Related event: 'Answer-first' synthetic data method hits nearly 100% pass rate(2 posts)→
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