I'm scared about biological computing
kuber.studio
May 5, 2026
2 min read
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53/100
Summary
Biological computing applies mathematical concepts and probabilities used in AI to human neurons. This intersection raises concerns about the ethical implications and potential dystopian outcomes of merging biological systems with computational processes.
Key Takeaways
- A company has successfully grown human neurons in a lab and trained them to play the video game DOOM.
- The development raises ethical concerns about the potential consciousness of biological computers, as the neurons interpret visual data similarly to human perception.
- The number of neurons used in these experiments exceeds that of simple organisms like jellyfish or worms, complicating the definition of consciousness.
- There are commercial incentives to continue developing biological computing technologies, despite ethical implications and potential risks.
Community Sentiment
Positives
- The discussion around biological computing raises important ethical questions about consciousness and our treatment of biological systems, paralleling debates in AI ethics.
- The exploration of biological computing could lead to new insights into consciousness, potentially reshaping our understanding of both biological and artificial intelligence.
Concerns
- Concerns about the feasibility of biological computing highlight the uncertainty surrounding its potential, especially when compared to the established capabilities of AI models like LLMs.
- Skepticism about the claims of biological computing's capabilities suggests that current demonstrations may lack rigorous validation, raising doubts about their significance.
