Firstly, there is absolutely no way anyone could know this. Secondly, no they aren't.
Just as one can say, in response to a perfectly correct answer, "Explain what's wrong with your answer" and it will find something, one can either create a vacuum it feels compelled to fill with hallucinations or ask in a way it stays grounded.
That’s the description of a house of cards rather than some revolutionary new technology.
I used the opportunity to send some queries which GPT-3.5 was bad at, and while GPT4 was better and closer to the correct answers, it still failed to produce them. When I pointed out the problems, it got even closer, but still ended up insisting that its (wrong) answer was correct in the end.
So, yeah, GPT4 is much better than GPT3.5, but it's got a long way to go before it becomes real AI.
Currently, I still use it for 3 cases:
1. When exploring something completely new. It saves time reading and learning because you can ask questions with "layman words" and get to learn the specific terms used in the domain quickly.
2. When google search is swamped by SEO spam or google insists on ignoring some of the keywords
3. When I need some boilerplate code that has been written a thousand times. It saves time which would otherwise get spent on concatenating different code segments from 5 different Stackoverflow threads and reading the docs afterwards to ensure it's correct. Now I just copy/paste from ChatGPT and read the docs afterwards to fix any places where it messed up.
It's not as great a gpt4O, but with gemini and 1M tokens (2M now also avaiable) you can dump in a small library of "writing javascript for X" books before asking it to produce code for X. It dramatically improves output.
ChatGPT also can be front loaded with documents, but the context is much smaller (32K in the web app, I believe?)
I don't disagree. Just wanted to highlight the poor intuition of the guy doing the video.