This, and if you add in a voice mode (e.g. ChatGPT's Advanced Mode), it is perfect for brainstorming. Once I decide I want to "think a problem through with an

This, and if you add in a voice mode (e.g. ChatGPT's Advanced Mode), it is perfect for brainstorming. Once I decide I want to "think a problem through with an LLM", I often start with just the voice mode. This forces me to say things out loud — which is remarkably effective (hear hear rubber duck debugging) — and it also gives me a fundamentally different way of consuming the information the LLM provides me. Instead of being delivered a massive amount of text, where some information could be wrong, I instead get a sequential system where I can stop/pause the LLM/redirect it as soon as something gets me curious or as I find problems with it said. You would think that having this way of interacting would be limiting, as having a fast LLM output large chunks of information would let you skim through it and commit it to memory faster. Yet, for me, the combination of hearing things and, most of all, not having to consume so much potentially wrong info (what good is it to skim pointless stuff), ensures that ChatGPT's Advanced Voice mode is a great way to initially approach a problem. After the first round with the voice mode is done, I often move to written-form brainstorming.