I have been wondering how this language-based AI engine could be useful in designing anything.
Today I asked ChatGPT "How to troubleshoot my GSSL" and the answer was a quite comprehensive synopsis of basic troubleshooting -- overall good advise, although rather general and basic . But certainly helpful to beginners.
Also, it knew in answering a second question that the "Turbo board is an "add-on"(!) that needs establishing several wire connections.
And it explained how a 'tilt' filter in the sidechain can be used to alter the sound.
So obviously, I thought, ChatGPT is reading this forum.
However, since design decisions are often a trade-off between different parameters or goals (e.g. op amp gain factor versus noise etc etc), I wonder how far or deep this can go.
Of course, those chat answers are better when the questions are precise. Little-knowledge questions generate little-content answers. But what about high-knowledge questions? Does it generate anything useful?
Anyone around who tried it and is willing to share opinion or experience?
Today I asked ChatGPT "How to troubleshoot my GSSL" and the answer was a quite comprehensive synopsis of basic troubleshooting -- overall good advise, although rather general and basic . But certainly helpful to beginners.
Also, it knew in answering a second question that the "Turbo board is an "add-on"(!) that needs establishing several wire connections.
And it explained how a 'tilt' filter in the sidechain can be used to alter the sound.
So obviously, I thought, ChatGPT is reading this forum.
However, since design decisions are often a trade-off between different parameters or goals (e.g. op amp gain factor versus noise etc etc), I wonder how far or deep this can go.
Of course, those chat answers are better when the questions are precise. Little-knowledge questions generate little-content answers. But what about high-knowledge questions? Does it generate anything useful?
Anyone around who tried it and is willing to share opinion or experience?