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Scientists are now combining living human brain cells with silicon chips to build biological computers that can learn in real time. Cortical Labs has neurons playing Pong and Doom, while researchers at UC San Diego and Johns Hopkins are growing brain organoids that learn, remember and raise some uncomfortable questions about consciousness.
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📌 What You’ll See:
0:00 — Intro
1:17 — UC San Diego grows brain organoids with baby-like electrical activity
SOURCE: https://today.ucsd.edu/story/machine-learning-algorithm-cant-distinguish-these-lab-mini-brains-from-preemie-babies
4:24 — Cortical Labs combines living human neurons with silicon chips
SOURCE: https://spectrum.ieee.org/biological-computer-for-sale
6:19 — Living human brain cells learn to play Doom
SOURCE: https://www.theguardian.com/games/2026/mar/16/petri-dish-brain-cells-playing-doom-cortical-labs
7:01 — Johns Hopkins pushes human brain organoids toward biological computing
SOURCE: https://hub.jhu.edu/2023/02/28/organoid-intelligence-biocomputers/
🚨 Why It’s Important:
Biological computing takes a completely different path from today’s AI, using living neurons that naturally learn, adapt and consume little energy. Cortical Labs is already putting neurons onto chips, while researchers are scaling brain organoids for learning, memory and drug testing. As these systems become more capable, the line between computing, biology and consciousness gets much harder to define.
#ai #biocomputing #cl1



