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papersTODAY 04:00 UTC

arXiv paper argues foundation models should move toward open-ended discovery

A new arXiv preprint proposes "Discovery Foundation Models," framing open-ended discovery as the next stage for AI systems. The authors argue that models have moved from recalling and reasoning over existing knowledge to acting with tools and learning from outcomes, and that the next step is generating genuinely new findings. The paper is a position piece rather than an experimental release.

arXiv Discovery Foundation Models ai-research foundation models open-ended-discovery scientific-discovery

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arXiv cs.CLDiscovery Foundation Models: Toward Open-Ended Discovery Intelligence ↗TODAY 04:00 UTC