Optimizing Information Gain: Model Discovery Agent for Scientific Exploration
burny_tech · x · 2026-08-14
Discusses solving open-ended discovery problems via a hard-coded harness. Predicting interventional "what if?" questions requires a mechanistic model rather than a curve fit, which can only be learned through costly experiments, making data efficiency the core game. Introduces the Model Discovery Agent (MDA), which optimizes for information gain, demonstrating the power of mathematically grounded harness design in driving autonomous research agents.
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