Discovery Foundation Models: Toward Open-Ended Discovery Intelligence
Paper defines Discovery Foundation Models with seven coupled capabilities for open-ended discovery, demonstrated via Zetema and GALILEO systems.
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Stories tagged #position-paper
Transfer Learning for Evolving Domains
TrED formalizes transfer learning for domains whose data availability evolves over time, arguing classical settings are regimes along one trajectory, and remains unsolved.
The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement
Position paper defines recursive self-improvement for AI, introduces the Headroom-Closed Index and an autonomy roadmap toward genuine recursive meta-improvement.