> 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
