StackOverflow is almost never wrong at the top answer and again has many coherent responses for many use cases with contextual help, where GPT is often subtly incorrect with no real context (precision struggles). The whole iterative thing is maybe good for learning tools. Just not seeing a revolution, yet.
The struggles for SEO are less than those for GPT, both have to deal with spam and weird data, but GPT you’re also out of date, don’t have much explainability, and basically trust one giant black box of bias that requires higher input-foo whereas Google is also a giant black box of bias but at least you land at SO or Reddit or something where things are concrete and easy to understand.
Again, if this was some iPhone level revolution I’d have no comparable. It’d be way better at something clearly. But it’s not even clearly equal to any of the examples, and imo worse than basically all except “draw me a dragon in a tutu”, caricature artists should be worried!
On second thought, caricature artists are pretty safe since much of that experience is the whole human drawing you thing and also the generative models don’t really do caricature well as of now.
It’s very distinguishable from a human in that you can trivially make it contradict, say nonsense, and it still makes all sorts of errors especially past a few paragraphs.
Very few people are using it. AI therapy is really a great counterexample - it’s not just not up to the task, also highly dangerous. Last thing anyone needs in therapy is to talk to a computer that has no long term memory and will say whatever you want it to - pure demoralization.
As far as code - also not really compelling. I’ve tried it and don’t use it, because:
1. It’s worse than Google. Google + stack overflow finds 100% of the same answers, but also gives me many alternatives, verifies they are correct, and adds lots of context.
2. It’s incorrect in subtle ways, often.
3. It’s actually actively bad at programming beyond the simplest smallest isolated problems, which are about 1% of the daily tasks of a software dev.
I did say in the loop it has some value, but it’s truly far from an iPhone in terms of value. About 0% rounded of the population is even aware of it, let alone getting value from it. I have no idea what I’d use it for, its proneness to blunders and bullshit is a real dealbreaker for every application besides illustrations and maybe summarization - and the latters been solved forever, and is a marginal industry.
Again there’s a weird need to hype it up it seems, we’re at some peak of the hype curve and people are buying it. I think one reason that happens is because it’s mediocre at a lot of things, so people think it’ll do everything. But it’s got major reasons why it’s mediocre that haven’t changed from gpt3 or earlier.
It’s a cool thing certainly, but Google is like 1000x more valuable and idk if even Google was a revolution or just a somewhat big improvement.
Four fundamental limiting factors: it’s imprecise (can’t rely on it for unsupervised or technical things), it’s average (not very valuable to art or creative innovation), it’s a liar (not great for many things), and it’s a panderer (therapy, etc).