Research
163d agoSynthetic Tasks Train AI Science Agents
Researchers introduce a pipeline that generates machine‑learning challenges for AI agents. The system covers topic sampling, dataset proposal, and code generation, ensuring tasks are grounded in datasets. It produces tasks for the SWE-agent framework.
The Signal
Unlike current LLMs that produce plausible but ineffective ideas, this pipeline trains agents to learn by doing, offering a principled path to autonomous scientific discovery.