Yeah I think you’re right on about the students not being able to afford GPT4 (I don’t blame them. The API version gets expensive quick). I agree though that it doesn’t seem super well put together.

Oh ok! Got it. I read it as you saying ChatGPT doesn’t use GPT 4. It’s still unclear what they used for part of it because of the bit before the part you quoted:

For each of the 517 SO questions, the first two authors manually used the SO question’s title, body, and tags to form one question prompt3 and fed that to the Chat Interface [45] of ChatGPT.

It doesn’t say if it’s 4 or 3.5, but I’m going to assume 3.5. Anyway, in the end they got the same result for GPT 3.5 that it gets on HumanEval, which isn’t anything interesting. Also, GPT 4 is much better, so I’m not really sure what the point is. Their stuff on the analysis of the language used in the questions was pretty interesting though.

Also, thanks for finding their mention of 3.5. I missed that in my skim through obviously.

Yes available to anyone in the API or anyone who pays for ChatGPT subscription.

If we are talking Copilot then that’s not ChatGPT. But I agree it’s ok. Like it can do simple things well but I go to GPT 4 for the hard stuff. (Or my own brain haha)

Hmm that’s incorrect. ChatGPT (if you pay for it) does both.

Wait a second here… I skimmed the paper and GitHub and didn’t find an answer to a very important question: is this GPT3.5 or 4? There’s a huge difference in code quality between the two and either they made a giant accidental omission or they are being intentionally misleading. Please correct me if I missed where they specified that. I’m assuming they were using GPT3.5, so yeah those results would be as expected. On the HumanEval benchmark, GPT4 gets 67% and that goes up to 90% with reflexion prompting. GPT3.5 gets 48.1%, which is exactly what this paper is saying. (source).

The one I like to give is tool use. I can present the LLM with a problem and give it a number of tools it can use to solve the problem and it is pretty good at that. Here’s an older writeup that mentions a lot of others: https://www.jasonwei.net/blog/emergence

Yeah, I think that’s a big part of it. I also wonder if people are getting tired of the hype and seeing every company advertise AI enabled products (which I can sort of get because a lot of them are just dumb and obvious cash grabs).

At this point, it’s pretty clear to me that there’s going to be a shift in how the world works over the next 2 to 5 years, and people will have a choice of whether to embrace it or get left behind. I’ve estimated that for some programming tasks, I’m about 7 to 10x faster when using Copilot and ChatGPT4. I don’t see how someone who isn’t using AI could compete with that. And before anyone asks, I don’t think the error rate in the code is any higher.

I’ve been making the same or similar arguments you are here in a lot of places. I use LLMs every day for my job, and it’s quite clear that beyond a certain scale, there’s definitely more going on than “fancy autocomplete.”

I’m not sure what’s up with people hating on AI all of a sudden, but there seems quite a few who are confidently giving out incorrect information. I find it most amusing when they’re doing that at the same time as bashing LLMs for also confidently giving out wrong information.

You should check out the short story Manna. It’s maybe a bit dated now but explores what could go wrong with that sort of thing.