(Replying to PARENT post)
Define AI first.
One of the first few lines on Wikipedia about AI: The scope of AI is disputed: as machines become increasingly capable, tasks considered as requiring "intelligence" are often removed from the definition, a phenomenon known as the AI effect, leading to the quip, "AI is whatever hasn't been done yet."
(Replying to PARENT post)
"...Expert systems are really slightly dumb systems that exploit the speed and cheapness of computer chips...There are many expert systems in the literature which are nothing more than a series of fast if-then-else rules...you do that a couple of hundred thousand times it can look remarkably intelligent"
The interview above was broadcast in...1984. There have been advances since then of course, but at the same time this 30-year-old quote still has a certain ring of truth to it.
Here's the clip from the TV programme featuring the quote above: https://computer-literacy-project.pilots.bbcconnectedstudio....
(Replying to PARENT post)
What you actually see is that improvements in perceived machine intelligence show diminishing returns to increasing compute capacity which is a good sign that people are on the wrong track to achieve general ai and that future improvements in perceived intelligence will grow at a slower rate, not exponentially increase.
(Replying to PARENT post)
AI is huge. Machine learning definitively is changing how people work and will work. It is not there yet but it'll get there. Some people just want to monetize on the hype.
(Replying to PARENT post)
I'm not saying that silicon/mechanical intelligence isn't possible. I'm unaware of any physical law that precludes it. But what we currently call "AI" is just the pathetic fallacy run wild.
All that said, multidimensional data-driven linear recognizers are pretty impressive.