AI Scientist Kosmos links every conclusion to code and citations

OpenAI chief Sam Altman has praised Future House’s new AI Scientist, Kosmos, calling it an exciting step toward automated discovery. The platform upgrades the earlier Robin system and is now operated by Edison Scientific, which plans a commercial tier alongside free access for academics.

Kosmos addresses a key limitation in traditional models: the inability to track long reasoning chains while processing scientific literature at scale. It uses structured world models to stay focused on a single research goal across tens of millions of tokens and hundreds of agent runs.

A single Kosmos run can analyse around 1,500 papers and more than 40,000 lines of code, with early users estimating that this replaces roughly six months of human work. Internal tests found that almost 80 per cent of its conclusions were correct.

Future House reported seven discoveries made during testing, including three that matched known results and four new hypotheses spanning genetics, ageing, and disease. Edison says several are now being validated in wet lab studies, reinforcing the system’s scientific utility.

Kosmos emphasises traceability, linking every conclusion to specific code or source passages to avoid black-box outputs. It is priced at $200 per run, with early pricing guarantees and free credits for academics, though multiple runs may still be required for complex questions.

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