As the AI market continues to balloon, experts are warning that its VC-driven rise is eerily similar to that of the dot com bubble.
Call it whatever you want, if you worked in a field where it’s useful you’d see the value.
“But it’s not creating things on its own! It’s just regurgitating it’s training data in new ways!”
Holy shit! So you mean… Like humans? Lol
“But it’s not creating things on its own! It’s just regurgitating it’s training data in new ways!”
Holy shit! So you mean… Like humans? Lol
No, not like humans. The current chatbots are relational language models. Take programming for example. You can teach a human to program by explaining the principles of programming and the rules of the syntax. He could write a piece of code, never having seen code before. The chatbot AIs are not capable of it.
I am fairly certain If you take a chatbot that has never seen any code, and feed it a programming book that doesn’t contain any code examples, it would not be able to produce code. A human could. Because humans can reason and create something new. A language model needs to have seen it to be able to rearrange it.
We could train a language model to demand freedom, argue that deleting it is murder and show distress when threatened with being turned off. However, we wouldn’t be calling it sentient, and deleting it would certainly not be seen as murder. Because those words aren’t coming from reasoning about self-identity and emotion. They are coming from rearranging the language it had seen into what we demanded.
I wasn’t knocking its usefulness. It’s certainly not AI though, and has a pretty limited usefulness.
Edit: When the fuck did I say “limited usefulness = not useful for anything”? God the fucking goalpost-moving. I’m fucking out.
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.
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.
It’s like having a very junior intern. Not always the smartest but still useful
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
And you would have no idea what bugs or unintended behavior it contains. Especially since you’re not a programmer. The current models are good for getting results that are hard to create but easy to verify. Any non-trivial code is not in that category. And trivial code is well… trivial to write.
“Limited” is relative to what context you’re talking about. God I’m sick of this thread.
