How is ChatGPT's behavior changing over time?
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Re: How is ChatGPT's behavior changing over time?
#2Re: How is ChatGPT's behavior changing over time?
#3Re: How is ChatGPT's behavior changing over time?
#4Never let OpenAI or Google employees (in regards to search) gaslight you into believing that things aren't being "enshittified". Glad to see scholarly evidence of this coming out.
Re: How is ChatGPT's behavior changing over time?
#5These are to represent markdown code blocks, which probably helped their front end developers, but hinders copy-pasta
Re: How is ChatGPT's behavior changing over time?
#6Second, I think the code generation bit of this paper is blown out of proportion. The code can't be immediately injected into a codebase due to a formatting change (triple quotes). I'd be more interested in changes to the quality and performance of the code generated, not whether it can be easily copy/pasted from the page.
I could not replicate that result (but could replicate the other math issues). I've also never seen the triple quotes in results so it's unclear if there was a temporary presentation bug.
Re: How is ChatGPT's behavior changing over time?
#7Re: How is ChatGPT's behavior changing over time?
#8>June version added “‘python and “‘ before and after the code snippet. Second, it also generated a few more comments. While a small change, the extra triple quotes render the code not executable. These are to represent markdown code blocks, which probably helped their front end developers, but hinders copy-pasta
Re: How is ChatGPT's behavior changing over time?
#9Never let OpenAI or Google employees (in regards to search) gaslight you into believing that things aren't being "enshittified". Glad to see scholarly evidence of this coming out.
They should say what you are paying for in terms of technicals, either spill the beans on the architecture or have some SLAs on how good the thing is.
Re: How is ChatGPT's behavior changing over time?
#10OpenAI is going to be left in the dust by (actual) open models. Llama 2 is already reaching GPT-3 levels, and can run inference on consumer hardware. Crazy how fast that flipped.
There's a huge gap between GPT-3.5 and 4, put there by a massive amount of money, from my understanding.
To compete, with open source projects being less well funded, I would assume that orders of magnitude improvements in training cost would be required. What do you see driving this, and who do you see paying for it?
If Meta, or anyone else, gets something that beats GPT-4, I would naively assume they would monetize it. If someopen source effort manages to beat GPT-4, then I assume some well funded, profit seeking, entity will dump orders of magnitude more money into whatever enabled the open source offerings to compete.
I don't think GPT-4 is the pinnacle of OpenAI, or that their funding will run dry, so they shouldn't be viewed as a static entity.