Benchmark Gap #5: Once a single AI model solves >= 95% of miniF2F, MATH, and MMLU STEM, will it be less than two years before AI models are used as entry-level data science / data analysis / statistics workers?
One-OffAI
Manifold MarketsGeen KYCGeverifieerde afwikkelingsgegevensRedelijk gekalibreerdHuidige gemeenschapsvoorspellingJa 67.1%
Voorspellers
8
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binary
Methodologie
Play-money forecasting platform
Brontype
Voorspelling
Marktdata
Bijgewerkt 12 uur geleden
Verouderd20 dec 22, 08:34 UTC1 jan 50, 08:00 UTC
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This question is meant to measure the gap between solving the main math-based benchmarks at the time of market creation, and applying mathematics in the real world.
- Data science / data analysis / statistics positions: I'll accept anything in this general realm of jobs, with the caveat that I won't require any significant coding.
- For instance an AI working as an ML scientist would resolve this market YES, but this is not a requirement.
- There is no requirement that any human entry-level workers be fired/replaced, e.g. if for some reason both humans and AI are employed to do the same work that counts.
