Evals Should Focus on Everyday Task Costs
evijit · x · 2026-07-18
A reshared opinion argues that current frontier leaderboards focus too heavily on niche, high-difficulty tasks like biology, cybersecurity, and quantum computing. However, most users spend their tokens on "everyday, partially-solved" scenarios like email sorting, PR triage, and data extraction.
Therefore, model evaluations and pricing discussions should build leaderboards around these high-frequency tasks, comparing costs at a given accuracy threshold to help users determine if they can rely on cheaper models. The original post notes that many everyday SWE tasks are already handled well by multiple models; what truly needs comparing are the capabilities and prices of tools "most people use every day."
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