Spatial Web AI Podcast Exclusive Look at CL1: One-on-One with Cortical Labs’ Chief Scientist
Apr 16, 2025
In a captivating conversation, Brett Kagan, Chief Scientist at Cortical Labs, discusses the revolutionary CL1 system, which merges human neurons with silicon computing for synthetic biological intelligence. He shares insights from the DishBrain experiment, which demonstrated neuron-based gameplay and validated Dr. Friston's Free Energy Principle. The podcast delves into the energy efficiency of biological intelligence compared to traditional AI, the ethical implications of using human neurons in research, and the vast potential applications for drug discovery and personalized medicine.
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Neurons Learn by Minimizing Surprise
- Neurons learn through a closed-loop system minimizing surprise, as validated by the free energy principle.
- Random unpredictable inputs cause neurons to adapt behavior to reduce errors, improving task performance like playing Pong.
CL1 Enables Scalable Biological Computing
- CL1 abstracts complexities, enabling broader access to synthetic biological intelligence.
- It lowers cost and latency, and supports cloud access or wet lab use for scalable research.
CL1 Neuron Longevity Supports Research
- Neurons in CL1 can survive over six months, often up to a year or more under proper conditions.
- Most experiments last only weeks or months, so current survival times already meet most research needs.