/Tech2h ago

AI Researchers Apply Philosophy of Science Criteria to Advance Prediction and Control

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Stella Biderman@BlancheMinerva#218inTech

We ground discussion in the history and philosophy of science. What did it take for other fields to move from cataloging phenomena to predicting and controlling them? AI can learn from that playbook.

Stella Biderman@BlancheMinerva

Post hoc analysis can certainly be useful, especially if you’re primarily concerned with the behavior of a specific deployed model. But looking at a static model will not tell you why the model developed a behavior. The real causal story must go back to the training process.

12:08 PM · Jun 10, 2026 · 286 Views
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Stella Biderman@BlancheMinerva

A test for progress: a science of AI should support progressively stronger forms of understanding: 1. Predict outcomes from early training signals 2. Intervene to correct trajectories on undesirable paths 3. Design training procedures that reliably produce desired properties

Stella Biderman@BlancheMinerva

We ground discussion in the history and philosophy of science. What did it take for other fields to move from cataloging phenomena to predicting and controlling them? AI can learn from that playbook.

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