Lab-grown human neurons now control a violent video game, raising alarms about unchecked biotech experiments that could erode human dignity and invite government overreach into life itself.
Story Highlights
- Cortical Labs’ CL-1 chip fuses 200,000 human neurons with silicon to play 1993’s Doom at beginner level, seeking enemies and learning via electrical signals.
- Independent researcher Sean Cole ported the game in under a week using the CL-1 API, marking a leap from 2021’s Pong success to complex 3D gaming.
- Dr. Brett Kagan confirms neurons detect foes and shoot, fueling bioethics debates on sentience and potential weaponization of wetware.
- CL-1 costs $35,000 per unit, with open-source code on GitHub, accelerating commercial biocomputing amid AI efficiency races.
Biocomputing Breakthrough: Neurons Master Doom
Cortical Labs, an Australian biotech firm, integrated 200,000 lab-grown human neurons into their CL-1 biocomputer chip. Independent researcher Sean Cole adapted the 1993 first-person shooter Doom using the CL-1 API in under one week. The system translates game visuals into electrical stimuli for neurons, which respond with spikes controlling movement and shooting. This achieves real-time processing without traditional programming, building directly on the firm’s 2021 DishBrain Pong milestone.
From Pong to Chaos: Demonstrating Adaptive Learning
The CL-1 launched commercially in 2025 at $35,000 per unit, featuring biOS and Cortical Cloud for Python-based programming. Neurons on the chip exhibit beginner-level Doom play, frequently dying yet showing enemy detection and shooting patterns. Dr. Brett Kagan, Cortical Labs’ lead scientist, stated the neurons seek out enemies amid the game’s chaos and display learning over sessions. The open API enabled Cole’s rapid implementation, with code released under GPL-3.0 on GitHub.
Kagan emphasized the interface challenge: Doom’s 3D complexity required precise encoding of sensory data into neuron-compatible signals. Prior DishBrain used up to 800,000 neurons for Pong after 18 months of development. CL-1 standardizes at 200,000 neurons, proving scalability for wetware applications beyond gaming.
Ethical Red Flags in Wetware Revolution
This fusion of organic neurons and silicon challenges silicon AI dominance by offering superior energy efficiency—neurons consume far less power than GPUs. Short-term, it validates bio-silicon input-output for complex tasks, boosting R&D. Long-term implications include robotics and drug testing uses, but ethicists question neuron welfare and emerging sentience as cells “learn” to shoot virtual demons.
Socially, the demo fuels fears of cyborg futures and weaponized biology, evoking conservative concerns over transhumanist agendas that blur human boundaries. Politically, it invites regulations on induced pluripotent stem cell use and biocomputing, protecting traditional values from radical experiments. Cortical Labs invites developers: “Neurons are ready. What will you teach them next?”
Stakeholders and Future Trajectory
Cortical Labs controls CL-1 hardware and cloud access, empowering independents like Cole through open tools. Key figures include Kagan for scientific oversight, and team members like Dr. Alon Loeffler for demos. Economic impacts favor wetware market growth via unit sales. Optimists see adaptive bio-AI proof; skeptics note only beginner play, urging caution on hype. No post-February 2026 updates reported, with neuron count verified at 200,000 for CL-1.
Sources:
Scientists get Doom running on chips powered by 200,000 human neurons (PCGamesN)
Gigazine: Bio-computer CL1 plays Doom
BoingBoing: Living human brain cells are now playing Doom
Abit.ee: Cortical Labs CL1 live neurons Doom biocomputer
