I think you may have that impression based on GPT3.5. GPT4 is already being used to generate working non-trivial computer programs based only on a brief text description.
On Wed, Mar 29, 2023 at 3:58 PM Alexandre Loomis <[email protected]> wrote: > > given some of the other impressive things it can do > > I think that's been exaggerated. It's very good at generating > plausible-sounding text responses to prompts, everything else looks > cherry-picked. > > On Wed, Mar 29, 2023 at 3:54 PM Nate <[email protected]> > wrote: > >> Hah yes. It once said \begn{music} and i said "are you making this up?" >> "I'm sorry, you're correct. The start tag should be \begin{lilypond}. >> >> Its super handy but you have to watch it. It can be a pathological liar. >> I asked it how to do something on the Akai Mini Play and it said to use >> this button On the upper left corner. when i asked for clarification >> instead of admitting it was mistaken it said it was white and next to >> another button. Twice it doubled down before admitting it was wrong. >> >> On Wed, Mar 29, 2023, 6:44 PM Saul Tobin <[email protected]> >> wrote: >> >>> I've seen some examples of other people succeeding in getting ChatGPT >>> with GPT4 to compose simple music in other text based music formats. I've >>> had limited success getting it to output Lilypond code. It is able to >>> correctly structure the code with a score block, nested contexts, and >>> appropriately named variables, and bar checks at the end of each measure. >>> It seems to struggle to create rhythms that fit within the time signature >>> beyond extremely simple cases. It also seems to struggle a lot to >>> understand what octave pitches will be in when using relative mode. >>> >>> It also seems to have a lot of trouble keeping track of the relationship >>> between notes entered in different simultaneous expressions. Just asking it >>> to repeat back which notes appear in each voice on each beat, GPT4 >>> frequently gives stubbornly incorrect answers about the music it generated. >>> This makes it very difficult to improve its output by giving feedback. >>> >>> I'm curious whether anybody else has tried playing with this. I have to >>> imagine that GPT4 has the potential to produce higher quality Lilypond >>> output, given some of the other impressive things it can do. Perhaps it >>> needs to be provided with a large volume of musical repertoire in Lilypond >>> format. >>> >>
