Combining LLMs with Bayesian methods could automate scientific discovery more efficiently
heghbalz · x · 2026-08-17
Discussion on combining LLMs with Bayesian methods to provide a path towards more efficient and principled automation of scientific discovery. It references the Model Discovery Agent (MDA), emphasizing mechanistic models over curve fitting to answer interventional questions and address data efficiency challenges.
Related event: LLM Hypotheses Plus Bayesian Inference Speed Up Scientific Discovery(3 posts)→
More from Research
- Ben Recht Proposes "Microconferences" to Replace Mega Academic Meetings — beenwrekt · 2026-08-17
- hipocampus: drop-in 3-tier memory for AI agents, 21.6x over no memory — tom_doerr · 2026-08-17
- Visual guide: How AI text watermarking works by hiding in choices — ArtificialOther · 2026-08-17
- MIT: Modular Cognitive Architecture Emerges in Large Language Models — MIT · 2026-08-17
- CMU: Reasoning Training Amplifies Self-Correction Over Confidence Calibration — CarnegieMellonU · 2026-08-17
- Apodex Discovery: Verifiable Framework for Evaluating Discoverative AI — apodex · 2026-08-17