How the Human Brain Outperforms AI in Skill transfer
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Despite the rapid advances in artificial intelligence in recent years,the humble human brain still has the edge over computers in its ability to transfer skills adn learn across tasks. A new study reveals how we likely do this.
The Macaque Study: A Window into Human Brain Function
Led by a team from Princeton University,the researchers behind the new study didn’t actually run tests on humans,but rather used animals that are very close to us in terms of biology and brain function: rhesus macaques (macaca mulatta).
These monkeys were asked to identify shapes and colors on a screen,and to look in particular directions to give their answers. While this was happening, brain scans were used to check for overlapping patterns and shared areas of activity in the animals’ brains.
Related: Computers Made From Human Brain Tissue Are Coming.Are We Prepared?
Cognitive Legos: The Building Blocks of Learning
those scans showed the monkey brains using different blocks of neurons – ‘cognitive Legos’,in the words of the researchers – across tasks. Existing blocks can be repurposed and recombined across new tasks, showing a neural adaptability that even the best AI models can’t compete with.
“State-of-the-art AI models can reach human, or even super-human, performance on individual tasks,” says neuroscientist Tim Buschman, from princeton University. “But they struggle to learn and perform new tasks that require combining previously learned skills.”
Why This Matters: The Limitations of Current AI
Current AI systems typically require extensive retraining for each new task. They lack the ability to generalize knowledge and apply it to unfamiliar situations in the way humans do. This is becuase AI models often rely on specialized networks for each task, whereas the human brain appears to utilize a more modular and reusable system.
Key Takeaways:
- humans excel at transferring skills between tasks.
- Rhesus macaque brains demonstrate a similar ability through the reuse of neural “building blocks.”
- current AI struggles with this type of skill transfer, requiring extensive retraining.
- Understanding how the brain repurposes neurons could lead to more flexible and adaptable AI.
The Future of AI: Mimicking the BrainS Flexibility
The findings from this study offer valuable insights into the advancement of more advanced AI systems. By mimicking the brain’s modular and reusable approach to learning, researchers hope to create AI that can adapt to new challenges more easily and efficiently. This could unlock a new era of artificial intelligence capable of true general intelligence.
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