If you think it’s usefulness is limited you don’t work on a professional environment that utilizes it. I find new uses everyday as a network engineer.
Hell, I had it write me backup scripts for my switches the other day using a python plugin called Nornir, I had it walk me through the entire process of installing the relevant dependencies in visual studio code (I’m not a programmer, and only know the basics of object oriented scripting with Python) as well as creating the appropriate Path. Then it wrote the damn script for me.
Sure I had to tweak it to match my specific deployment, and there was a couple of things it was out of date on, but that’s the point isn’t it? Humans using AI to get more work done, not AI replacing us wholesale. I’ve never gotten more accurate information faster than with AI, search engines are like going to the library and skimming the shelves by comparison.
Is it perfect? No. Is it still massively useful and in the next decade will overhaul data work and IT the same way that computers did in the 90’s/00’s? Absolutely. If you disagree it’s because you either have been exclusively using it to dick around or you don’t work from behind a computer screen at all.
match@pawb.social 10 months ago
okay, you write a definition of AI then
sxan@midwest.social 10 months ago
I’m not the person you asked, but current deep learning models just generate output based on statistic probability from prior inputs. There’s no evidence that this is how humans think.
AI should be able to demonstrate some understanding of what it is saying; so far, it fails this test, often spectacularly. AI should be able to demonstrate inductive, deductive, and abductive reasoning.
There are some older AI models, attempting to similar neural networks, could extrapolate and come up with novel, often childlike, ideas. That approach is not currently in favor, and was progressing quite slowly, if at all. ML produces spectacular results, but it’s not thought, and it only superficially (if often convincingly) resembles such.