How to Evaluate AI for Science: Fix the Experiment Budget and Measure Questions Resolved
krishnan · x · 2026-11-01
krishnan lays out a pragmatic framework for evaluating AI in biotech R&D:
- Hold the experimental budget fixed and compare AI-ranked leads against the team's usual selection process;
- Measure the share of experiments that resolve a predefined scientific question, counting useful negative results;
- Choose the experiment, not just generate the lead—a good AI product should help customers resolve more scientific questions with the same experimental budget.
A directly applicable yardstick against "we generated X candidates" marketing claims.
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