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? | Manifold

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?

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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.

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