If your competitor use ChatGPT to compete with you and they're 10x productive than yours, are you still willing to insist? If the productive is 100x, will you?
It might be just as likely that ChapGPT will cause a mistake like Knight Capital because no one bothered to thoroughly verify the AI's looks-good-but-deeply-flawed answer, and the two aren't mutually exclusive possibilities.
Humans are a lot better at "I don't know how to do this; hey Alice, can you look this over if you've got a sec and tell me if I'm making a noob mistake"
Perhaps the actual phenomenon is that humans are much better at saying "Alice wrote this code, she's pretty good at scripting but she might have made a noob mistake, better check it", or even "I wrote this code.." than they are at saying "ChatGPT wrote this code, but that application is not guaranteed to have correctly identified my problem, but may have just returned something that seems right both to the statistical model and to me, but which is actually deeply flawed, better check it".
This isn't an argument of ChatGPT vs nothing. This is an argument of "external" ChatGPT vs some other AI sitting on your own secured hardware, maybe even a branch of ChatGPT.
> Think about how long it's taken tools like pandas to reach the point that it is now. That entire package can be built to the level it is now in a couple of days.
I am having trouble parsing this statement. You're saying a person equipped with chatGPT trained on data prior to December 2007 (the month before the initial pandas release) could have put together the entire pandas library in a couple of days?
That seems obviously wrong, starting with the fact that one would need to know "what" to build in the first place. If you're saying that chatGPT in 2023 can spit out pandas library source code when asked for it directly, that's obvious.
Somewhere between the impossible statement and the obvious statement I made above, there must be something interesting that you were trying to claim. What was it?
> Think about how long it's taken tools like pandas to reach the point that it is now. That entire package can be built to the level it is now in a couple of days.
I don't think that is true at all. Do you have an example of a significant project being duplicated in days, or even months, with ANY of these tools?
By significant, I mean something on the order of pandas which you claimed.
And this is completely ignoring the fact, that the real hard problem is the design. Spitting boilerplate code is not. How pandas could be designed perfectly in one afternoon (and generated with GPT) is beyond my comprehension.
Cool, please provide a link to a library of similar size and complexity to pandas which was written using ChatGPT in the span of a few days. We'll be waiting.
> Think about how long it's taken tools like pandas to reach the point that it is now. That entire package can be built to the level it is now in a couple of days.
Let me hand you a mirror: You're absolutely and completely wrong
Security and privacy should be table stakes. Speaking for my country, we needs privacy laws with teeth to punish bad actors from shitting people's private information where ever they want in the name of a dollar.
