The future of AI may lie at the intersection of deep learning, computational neuroscience, and cognitive science.The closer we understand the brain, the closer we may get to building truly adaptive intelligence.
We're still a long way from truly understanding intelligence.
Modern AI borrowed inspiration from the brain, but biological learning is far more complex than today's neural networks.
The next breakthrough may come from studying neuroscience—not just scaling models.
#AI
The brain doesn't rely on backpropagation. It learns through spikes, local plasticity, neuromodulators, hierarchical memory, and continuous adaptation.We're beginning to replicate some patterns, but we've only scratched the surface.
Long way to go in AI.
We've made remarkable progress by borrowing ideas from the brain, but today's neural networks are only rough abstractions of biological intelligence.What if the next breakthrough doesn't come from scaling models but from understanding neuroscience more deep
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