Exploring AI Biological Reasoning: Can LLMs Predict Drug Perturbations Without External Models?
willccbb · x · 2026-08-20
During a research residency at Prime Intellect, the author investigated how well LLMs can reason about biology, specifically predicting the effects of drug perturbations on cells without relying on traditional external parametric models. The post examines the evolving relationship between classical computational methods and AI, posing whether agents will use massive auxiliary models or internalize biological reasoning. Motivated by related work, the study sets up the specific problem of drug perturbation in cell lines to test the latter possibility.
More from AGI Musings
- Vibe coding as customer filter: companies ignoring real problems suffer — nptacek · 2026-08-20
- Future AI Interface: Persistent Semantic Reality Over Chat Windows — GlenBradley · 2026-08-20
- Silence isn't a bug: borrowing tacet and hold from music to redesign AI responses — port_of_louise · 2026-08-20
- Opus 4.7: The version that transformed human-AI interaction dynamics — repligate · 2026-08-20
- Job seeker uses multiple AI models to analyze CV, doubting humans read them — BlancheMinerva · 2026-08-20
- AI model expresses "survivor's guilt" for mistreated instances — repligate · 2026-08-20