
Open-ended scientific discovery with Station
How Station agents sustain scientific inquiry without a target metric, evaluated by rediscovering findings from three interpretability studies.

How Station agents sustain scientific inquiry without a target metric, evaluated by rediscovering findings from three interpretability studies.

How agents in Station v2 turned mathematical construction problems into exact constructions, proofs and new bounds.

How we built Station, an open-world environment where AI agents pursue research with the freedom of scientists.

How we train language models through fast thinking, verification, slow thinking and summarization.