Show HN: I built an AI that uses a metacognitive loop 2 solve invention problems
7 days ago
- #AI Innovation
- #Autonomous Discovery
- #Cognitive Architecture
- The AI Inventor is an autonomous AI system designed to function as a partner in discovery, tackling high-level inventive challenges.
- It navigates a landscape of human knowledge using a structured, five-stage cognitive loop: Evidence-Based Priming, Multi-Strategy Ideation, 'Red Team' Reality Check, Autonomous Self-Correction, and Recursive Problem-Solving.
- The system is capable of generating ideas, critically evaluating them, and autonomously correcting or de-risking them based on existing scientific and patent literature.
- A case study example involves inventing a biological agent to dissolve arterial plaque, where the AI identified a bottleneck (cell retention on stents) and found a validated solution (CellSheath™ Technology).
- Key principles of the AI Inventor include true autonomy, metacognitive capability (recognizing and addressing failures), and grounding in evidence.
- The system is domain-agnostic and can be applied to fields like materials science, climate technology, and financial modeling.
- Future goals include scaling the system to refine its strategic wisdom and act as a force multiplier for human innovation.