@gajmal.base.eth
New research from Johns Hopkins shows that the right AI architecture can mirror human brain activity even before training. This shows that intelligence isn’t built by brute-force data and compute alone.
But architecture is only half the equation. These models still need real-world, diverse, human-grounded data to learn efficiently.
This is the gap Perceptron fills.
Our decentralized data mesh provides the high-quality global signal these next-generation models depend on.
Brain-like models need brain-like data, and Perceptron delivers the data foundation that makes them truly intelligent.
Do you think with the right data AI will ever be able to think like the human brain?
Source: scitechdaily.com/johns-hopkins-…
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