Earlier quoted context omitted.
GPT and most modern "AI" approaches suffer from the same problem: they're just brute force algorithmic approaches that don't mimic "intelligence" in any way. Since there is no understanding, they can't learn in the same way humans or other living creatures do (in general terms, by extrapolation). The ironic thing is that ML became popular because we didn't have the technology back then to properly model actual neuron…
That's a bold claim to make, given we ourselves don't even understand what understanding, or intelligence is. So how can you support your claim that what GPT-3 does is not intelligence.
So, GPT? I think that's probably a form of intelligence too, but not one that's particularly similar to our own. I also doubt that we'll have much luck getting it to ever perform at near-human levels, when you consider the data and power requirements. I think it's not simply a matter of silicon vs wetware; I think the GPT approach is substantially more different from our own than the hardware it runs on. It's a form of intelligence but that doesn't mean it is like our own.