[setopt]

Not exactly the same… But recently I wanted to pick a library in Python or Julia for simulating differential equations using a GPU. So I asked ChatGPT which libraries exist for this (JAX, CuPy, etc.), asked it to generate code to solve e.g. the 2D heat equation on a 1000x1000 grid for 100 time steps using each of those frameworks. Then I stepped in and verified that each code appeared to do the same thing, and proceeded to benchmark their performance on my hardware. Afterwards I had an informed choice of which framework to use for my project, even though ChatGPT gave me the benchmark code instead of the answer.

[nuancebydefault]

Similarly I find Bing copilot very handy for exploring problem spaces and their solution spaces. Then i dig/ask deeper and deeper until i understand the solution. It is a quick way to brainstorm without diverting too much, and hence converging, since that tech knows a lot details about a lot of things.