RISE OF THE TEST TUBE BRAINS
In early 2026, researchers at the Australian biotech startup Cortical Labs successfully trained a network of roughly 200,000 lab-grown human brain cells to play a simplified version of the classic 1993 first-person shooter, DOOM.
Key Details of the Experiment:
The Subject: The cells are living human neurons grown on a microelectrode array called the CL1 biological computer, which translates game data into electrical signals the cells can "feel".
Goal-Directed Learning: Scientists used the Free Energy Principle to train the cells. When the neurons performed "correct" actions (like shooting an enemy), they received structured, predictable electrical feedback. Incorrect actions or "dying" resulted in chaotic, unpredictable noise, which the neurons naturally reorganized to avoid.
Progression: This follows a famous 2022 experiment where a larger group of 800,000 neurons (nicknamed DishBrain) learned to play the 2D game Pong.
Performance: While the neurons can navigate, aim, and fire, they are currently described as playing like a "complete beginner" and are not yet competitive with human players.
This breakthrough is considered a major milestone in synthetic biological intelligence (SBI), showing that biological matter can process complex 3D environments in ways silicon chips cannot easily replicate.
Would you like to explore the ethical implications of this technology or how it might be used to treat neurological diseases?
1. Ethical Implications
The primary ethical debate centers on moral status and the potential for sentience as these systems scale.
Consciousness and Suffering: While researchers at Cortical Labs state that the current 200,000-neuron cultures lack the complex architecture required for consciousness, ethicists worry that future, larger systems could eventually cross a threshold where they are capable of experiencing pain or distress.
Donor Consent: Most neurons are grown from human induced pluripotent stem cells (hiPSCs) derived from adult skin or blood. This raises questions about whether donors originally intended for their cells to be used in "intelligent" systems or biocomputers.
The "Subject vs. Object" Dilemma: There is a growing philosophical tension regarding whether these "brains-on-a-chip" should be treated as biological tools (objects) or as living entities with inherent rights (subjects).
Ethical Superiority to Animal Testing: Conversely, Cortical Labs argues that their technology is ethically superior to animal testing because it provides human-relevant data without using sentient living animals.
2. Treating Neurological Diseases
This technology acts as a "live, learning system" that mimics human cellular behavior, providing a unique platform for medical breakthroughs.
Personalized Medicine: Scientists can grow neurons from a specific patient's cells to test how their particular brain might react to a certain drug before it is administered.
Modeling Neurodegeneration: Unlike static cell cultures, these "thinking" neurons allow researchers to study how diseases like Alzheimer’s, dementia, and epilepsy disrupt real-time information processing and learning.
Drug Discovery and Toxicity: The CL1 biocomputer is being used to screen new pharmaceutical compounds for efficacy and toxicity more accurately than traditional animal models.
Understanding Neural Plasticity: By observing how neurons "rewire" themselves to get better at DOOM or Pong, researchers gain insights into synaptic plasticity, which is critical for recovering from strokes or brain injuries.
The ability of human neurons to play DOOM signifies a shift towards biological hardware, offering revolutionary potential for drug discovery and cognitive research. This breakthrough simultaneously challenges current ethical frameworks by raising questions about the rights of potential biological machines.
Perhaps some day not too far in the future the fact DOOM was chosen may have its own terrible punchline.
