Columbus-1 Agent Discovers Bluetooth Vulnerability and Designs Rocket
EXM7777 · x · 2026-08-01
Traditional reinforcement learning encourages convergence, which contradicts the divergence needed for scientific discovery. To solve this, Autopoiesislab built a new Judgment Model.
- Core Mechanism: The scientific process involves countless decisions (what to pursue, what to abandon), but final papers only show the results. The team specifically recorded these erased "3.5 hours of scientific judgment" and trained a model on them, rather than just relying on final outputs.
- Columbus-1 System: An autonomous research system built on this judgment engine.
- Actual Results: The system successfully discovered a previously unknown zero-click Bluetooth RCE vulnerability and led the design of a 10-foot, self-landing rocket.
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