We heard early this year that teams were working on this merge, and it’s been interesting to the AI community.
“There are you can compute, and you can go on computing, and you can figure out things that are very different from what we humans can figure out,” he says. “And that's what I've spent a lot of time building - the ability to do deep computation, and the way to … connect computation to things that we humans can talk about. And so the thing that I consider pretty interesting right now, is that ChatGPT provides this linguistic user interface we can now connect to deep computation.
Most fields of human endeavor, he says, take advantage of certain information structures. The idea is that new computing systems can create those structures in a way that we couldn't do in our own minds, but, on the other hand, in a way that we can follow, at least in theory. If you see this part of the video where he talks about the weather “having a mind of its own,” Wolfram is coming back to this subtlety in understanding how these new technologies have their own kinds of understandings that are not ours!
“A programming language is something which kind of tells the computer in its terms, what to do,” he says, “you know, set this variable to this, make this loop … things like that. The idea of a computational language the world computationally in a form that we humans can understand, talking about cities, and chemicals, and images and whatever else, not talking about the things that are intrinsic to a computer, having a specification, this computational specification of what you want.
He talks about using assembly language in prior decades, and how that's obsolete now. Should you learn to program? Wolfram contends that it will be more useful to learn to make use of high-level interfaces and to generalize away from a particular code syntax. Though noting that “prompt engineering is a very weird business,” he predicts that in the years to come, it’s going to be a big business, too.
That in itself is a pretty intimidating picture of how humans stack up to machines, but Wolfram’s recommendation that humans learn broadly at least sets us up to take advantage of AI as decision support, in other words, to bring our human capability for decision making to the table.
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