this post was submitted on 06 Jul 2025
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Superpowered lying is already a thing, and all we needed was demographic data and context control.
Today, it is possible to get a population to believe almost anything. Show them the right argument, at the right time, in the right context, and they believe it. Facebook and google have scaled up exactly that into their main sources of revenue.
Same goes for attention hacking. AI generated content designed to hook viewers functions in entirely predictable, and fairly well understood ways. And the same goes for the algorithms which "recommend" additional content based on what someone is watching.
As for why doctors can't do things AIs are pulling off, I'd suggest that's because current systems are using indicators we don't know about, which they aren't sentient enough to explain. If they could, I have no doubt a human doctor, given enough time, could learn about, and detect, such indicators.
There is no evidence that what these models are doing, is "beyond our scale of thinking".
But again, I do think the machine will be faster.
Current models display "emergent capabilities", as in abilities we don't know about before the model is created and tested. But once it is created, we can and have figured out what it is doing and how.