From blood vessels to neurons, physical networks are modeled as wires optimized for length. In @Nature we how surface minimization, via a surprising link to string theory, explains brain and vascular architecture, including neuronal sprouting. Paper:
researchers started by seeking a 1:1 mapping between neurons and concepts, like a neuron that always fired when the AI was thinking about cats, but quickly learned that nothing like that existed.
it's it's literally we're looking at neurons in the model's brain that light up when prompt injection happens. So the model won't even tell you but we can actually see those neurons and we can figure out and diagnose that it's happening. And then you combine that with the auto mode classifier and with these three layers we just cannot demonstrate prompt injection anymore.
But just because we have a fixed relatively fixed number of cells doesn't mean that we can't change the connections between those cells. And that's happening all the time. And that is, you know, the main principle of neuroplasticity.
Yesterday, I spoke with Mike Solana of the excellent newsletter Pirate Wires, one of the best places anywhere to find some truly heterodox takes about the relationship between tech and politics.
I think to the extent that it can predict the next frames in a coherent way, that is a form of understanding, not in the anthropomorphic version of, it's not some kind of deep philosophical understanding of what's going on, I don't think these systems have that, but they certainly have modeled enough of the dynamics, put it that way
the current situation in Iran shows that even if an "IAEA for AI" is necessary for some purposes, it won't be sufficient for resolving the tricky geopolitical issues raised by AI.
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