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🕸️ Why AI's Next Breakthrough Isn't About More Data:
Multifidelity Kolmogorov–Arnold Network

🧠 Just discovered AI that learns from "imperfect" data—like us humans do. Turns out the future isn't about perfect info, but smart partnerships. 🤖✨

We've been sold a lie about artificial intelligence. Not maliciously—more like the kind of well-intentioned fiction we tell ourselves when reality gets uncomfortable. The lie is this: that AI needs massive, perfect datasets to work miracles. That somewhere in the cloud, if we just feed enough pristine information into our neural networks, they'll emerge as digital prophets, predicting everything from stock prices to climate disasters with godlike precision.

But here's what they don't tell you in the glossy tech presentations: perfect data is a myth. And the pursuit of it is bankrupting scientific progress.

The future of scientific AI isn't about feeding machines more perfect information. It's about teaching them to be better partners in the messy, uncertain, gloriously imperfect process of understanding our world. And that future, thankfully, doesn't require us to wait for perfect data that may never come.

Sometimes the most profound revolutions are the quiet ones—the ones that work with what we have rather than demanding what we wish we had.

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