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I'll give you a science corner example. There's this EVO2 model that they published at the Ark Institute, which
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Patrick Collison, you know, is the main funer and chairman. So that EVO2 model, they just ingested all the DNA data they
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could find in the world. Trillions and trillions of base pair of data that they ingested and then they looked at
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patterns in DNA and that's it. They had no context for what the DNA represented.
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They had no context for the concept of genes. None of the structured understanding of what that DNA does,
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what it is. And you know what it did? They fed in the BA gene variant and the thing output a warning saying I think
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that this is a pathogenic variant to DNA without having any context. This is the
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the breast cancer alil and it didn't have any knowledge and it did it wasn't trained on that at all. It had no
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knowledge that there are pathogenic variants for cancer and it identified that this was a genetic variant that can
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cause some sort of pathogenic outcome in the organism. That's a great example where there's a lack of understanding at
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the human level on what really drives some of the patterns in nature. the patterns in society, the patterns in
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behavior that are kind of emergent phenomena perhaps that these AI models are starting to identify.
