[rhetocj23]

Yes. The people who had low standards in the first place find it transformative.

If you have high standards, its regurgitating info in an ill disciplined fashion. Because its input isn't really of the highest standard upon which the model is trained on.

[kraftman]

It regurgitates info in a way that is very specific to what and how you requested it. If you ask it a question already having an estimate of how accurate its answers will be, you can get a lot of value from it.

[rhetocj23]

Nope, Ive tested its understanding on things like corporate finance which I know very deeply.

It touches surface level stuff - which makes sense, most stuff on the internet is surface level. Good enough to pass an exam (since exams are essentially memorisation and regurigation of that nowadays) but not enough depth of understanding to be able to apply it in a wide range of contexts.

The application is where all the value is in the real world.

[kraftman]

Surface level is where you can find the most day to day value. Just today I've used it to get advice about putting up a treehouse, rough price ranges and differences between fridges, common fridge widths, adding second accounts to microG, command flags to identify slow tests, poe support for my wifi router, differences in laser measurement devices, french translation, medication storage, different types of olive, and drafting 3 emails in another language. All of this would have taken me way longer without these tools, I'm confident it gave good results because I know that the information exists and is common.