FutureHouse Spins Out Edison Scientific for AI Research
Kosmos automates research by analyzing 1,500 papers and coding 42,000 lines per run, with 79.4% of its claims validated by PhD experts, Edison says.
- Edison Scientific, the US-based firm, has been building Kosmos for about two years, a collection of AI agents Edison claims produced seven discoveries, four of which were novel.
- By processing pre-prepared datasets, a typical Kosmos run lasts up to 12 hours, searches around 1,500 papers, writes 42,000 lines of code, but Edison says Kosmos `actually has completed probably 10 per cent of the task`.
- On specific claims, PhD evaluators found that 79.4 supported overall, including 85.5 for data claims and 82.1 for literature, but critics dispute the SOD2 finding's novelty.
- Responses have been mixed, with Sam Rodriques, Edison spokesperson and leader, saying Kosmos should collaborate with scientists and admitting some findings may be flawed, while the team has engaged with social media queries.
- Experts warn Kosmos could speed research—20 cycles equal around six months of human work—but Ben Glocker, Imperial College London, and Noah Giansiracusa, Bentley University, urge human oversight.
22 Articles
22 Articles
Sam Altman lauds Kosmos, the AI scientist who finds new disease clues and does months of work in a day
Sam Altman lauded Kosmos, a next-gen AI Scientist by Future House, for accelerating scientific discovery. This advanced system overcomes limitations of traditional AI by utilising structured world models and can produce six months of research in a single run.
AI scientist claimed to do six months of research in just a few hours
Could an AI scientist help researchers come up with breakthroughs by analysing data and searching the existing scientific literature? That's the claim of the inventors of Kosmos, but not everyone is convinced
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