Organoid Intelligence
Organoid Intelligence
What if the most powerful computer you could build wasn't made of silicon, but of neurons?
Brain organoids—miniature self-organizing neural tissue grown from stem cells—are already being trained to play Pong, control robots, and recognize patterns. They're not conscious (probably), but they are computational. And they're orders of magnitude more energy-efficient than any artificial neural network we've built.
This isn't science fiction. It's the emerging field of organoid intelligence: using biological neural tissue as a computational substrate. The hardware of the future might not be chips at all. It might be wetware.
Why This Matters for Coherence
Biological systems achieve coherent computation through mechanisms we still barely understand. Growing neural tissue and teaching it to compute gives us unprecedented access to how coherence maintenance actually works in biological substrates—how networks learn, self-organize, maintain stability, and generalize.
Organoid intelligence isn't just about building better computers. It's about understanding what coherence looks like when implemented in the same substrate that gave rise to minds in the first place.
Articles in This Series
Comments ()