Call for Contributions
Contribute closed-loop experimental tasks from your cloud lab to Autonomous Science Bench.
Autonomous Science Bench 0.1Deadline TBD
- 01ProposeTask proposal form (coming soon)
- 02ImplementPlaceholder: task specification and experiment interface.
- 03VerifyPlaceholder: review, reference method, and independent verifier.
About
PlaceholderWhat Autonomous Science Bench is, the network of programmable cloud lab nodes behind it, and how contributed tasks feed back into better scientific agents.
PlaceholderHow domains are organized and which fields are open to new tasks.
- BiologyFieldFieldField
- ChemistryFieldFieldField
- MaterialsFieldFieldField
- SemiconductorsFieldFieldField
- Other sciencesFieldFieldField
Contribute
What we're looking for
PlaceholderThe kinds of experimental workflows that make good tasks.
- Closed-loop
Placeholder: the task rewards learning from each round's results.
- Experimentally verified
Placeholder: success is checked against measurements, not a proxy.
- Fully budgeted
Placeholder: rounds, batch sizes, costs, and compute are fixed up front.
What each node supplies
- 01Task specificationPlaceholder
- 02DataPlaceholder
- 03Experiment interfacePlaceholder
- 04Reference methodPlaceholder
- 05Independent verifierPlaceholder
Why contribute?
PlaceholderWhat nodes and contributors gain: influence on frontier AI, evaluation experience, and authorship.
How to contribute
PlaceholderThe propose → implement → verify process in detail, with review stages and timelines.
Credit and responsibilities
PlaceholderAuthorship policy and what contributors maintain after their task is merged.
Resources
PlaceholderLinks to the task format, contributing guide, example tasks, and the proposal board.