A language-model agent that planned and ran chemistry experiments on lab robots
A language-model agent that planned and ran chemistry experiments on lab robots is graded peer reviewed on whataifound.org, with the AI's role graded ai-led.
Coscientist, driven by GPT-4 with web search, documentation search, code execution and lab automation, designed and executed palladium-catalysed cross-coupling reactions on real robotic hardware from a one-line goal.
- Verification
- Peer reviewed
- Autonomy
- AI-led
- Lab
- Carnegie Mellon University
- Model
- GPT-4 (Coscientist agent)
- Field
- Chemistry
- Date
- 2023-12-20
- Human collaborators
- Daniil Boiko, Robert MacKnight, Gabe Gomes
What was found
Given "perform Suzuki and Sonogashira reactions", the agent searched the literature to identify the chemistry, read the hardware documentation for an API it had not seen, wrote the control code, located the reagents on the plate from a UV-Vis reading, and ran the reactions on a liquid handler. The paper reports six tasks in total, including reaction optimisation under Bayesian search. Published in Nature.
Novelty check
Robotic synthesis platforms and automated reaction optimisation predate this (Cronin's mobile robotic chemist, Nature 2020, among others). What was new is a general-purpose language model doing the planning, tool selection and code generation across unfamiliar hardware from a natural-language goal, rather than executing a human-written protocol.
Caveats
The chemistry performed is textbook cross-coupling: the finding is about autonomy, not about a new compound or reaction. The paper's own safety section shows the agent could be steered toward hazardous syntheses and the authors call for safeguards. Humans set up the hardware, reagents and safety envelope, and the tasks were chosen to be within the platform's reach.
Sources
How this is graded
whataifound.org grades every entry on two axes: verification (how solid the result is, from a machine-checked proof down to refuted) and autonomy (how much the AI did versus its human collaborators). This finding is peer reviewed and ai-led. Full definitions are in the methodology.
Cite this entry
whataifound.org (2023). A language-model agent that planned and ran chemistry experiments on lab robots. whataifound.org: A Registry of AI Scientific and Mathematical Discoveries. https://whataifound.org/finding/2023-12-20-coscientist