3 ms·
I asked ChatGPT to create some 6502 assembly to multiply two numbers. It generated an iterative approach (add A to itself B times for A*B) but didn't include t
by wvenable 4y ago
I asked ChatGPT to create some 6502 assembly to multiply two numbers. It generated an iterative approach (add A to itself B times for A*B) but didn't include the actual addition.
I told it that "hey, you forgot to do the addition in that code" and it promptly corrected itself.
Personally, I don't consider that terrible given what I was asking it.
- moffkalast 4y agoYeah it feels like it performs really well if you know what needs to be done and how. Spare no detail from the description of how exactly it should do it and it'll usually get most of it right and save some of the time spent messing around with initial setup and boilerplate.
- dicknuckle 4y agoThat's were I've had my best luck with it.
- deleted 4y ago[deleted]
- Cardinal7167 4y agoThe most mind blowing thing to me is how it’s responsive to feedback like this. It’s like pair programming with a junior. It might be faster for me to just type it myself, but it’s doing what I tell it and filling in a fair amount of blanks itself.
- undersuit 4y agoBut is it responsive? If I gave ChatGPT the same 6502 prompt now that it's done it once would I also have to correct it about the addition as well?
- des1nderlase 4y agoYou are not asking for something impossible, its just not there yet. The speed of progress in the field is something few can extrapolate well over next 5 years.
- fnordpiglet 4y agoIt “remembers” the context of prior prompts so the answer is, in the same chat, “sometimes.” Other it doesn’t seem to bring enough weighting.