Self-Taught AI May Have a Lot in Common With the Human Brain
wired.com
Saved by Laura Pike Seeley
Self-Taught AI May Have a Lot in Common With the Human Brain
According to an emerging theory, the reason that our brain is still superior to machines is that it acts as a statistician. By constantly attending to probabilities and uncertainties, it optimizes its ability to learn.
Stanislas Dehaene • How We Learn: Why Brains Learn Better Than Any Machine . . . for Now
And look AI is useful. There are 1 billion essays approx about how useful it is (including mine). But my biggest gripe with relying on AI to do something creative—and here I mean, like, literally writing an essay for you, or doing your homework for you, or drawing something for you—is that you’re accepting the map as the territory. You are no longe... See more
Steve Bryant • {D} 141: What did you learn about yourself today?
Anthropic can now track the bizarre inner workings of a large language model
Will Douglas Heaventechnologyreview.com
We’ve been talking so far about neural nets that “already know” how to do particular tasks. But what makes neural nets so useful (presumably also in brains) is that not only can they in principle do all sorts of tasks, but they can be incrementally “trained from examples” to do those tasks. When we make a neural net to distinguish cats from dogs we
... See moreStephen Wolfram • What Is ChatGPT Doing ... And Why Does It Work?
Learning, in this sense, therefore means managing an internal hierarchy of rules and trying to infer, as soon as possible, the most general ones that summarize a whole series of observations.