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Conference Presentation

AI-Native Discovery Engines

Y Combinator
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  • Frontier models are projected to transition from co-pilot research assistants to intelligent systems capable of executing closed discovery loops.
  • These systems are expected to run the full "design, make, test, analyze" cycle in specific domains, including drug discovery, material science, and protein engineering.
  • Operational workflows will involve models proposing candidate molecules while automated labs synthesize and test them to feed iterative results for candidate improvement.
  • Entities contributing to scientific progress are predicted to evolve into AI-native discovery engines that validate hypotheses alongside researchers, shifting away from purely selling research co-pilots.
AI-Native Discovery Engines — Outlook