this post was submitted on 10 Jul 2026
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Personally I’ve found the way to use it is to get it to do the work of processing documents I could never be bothered to process myself, and to transform large volumes of information into an indexed and cross referenced dynamic index. It does both of these things well, because that’s what language models are good at.
The end result is that I am more informed. The downside is that I spend less time going off into the weeds, which does mean picking up less esoteric information.
It’s also more mentally exhausting to have to be constantly second guessing your sources of information.
But I’ve found well prompted LLMs to be a force multiplier if used in the background to do the things you previously just didn’t bother doing at all.
I use it to manage my task list. I have Codex hooked up to Obsidian and it manages the tedious stuff that would be onerous to do by hand. Organization is by far my greatest weakness. I would be so much worse at my job if I had to spend my mental energy doing menial shit.
The smaller and more procedural the task, the better AI is at it.
How do you feel about all your personal notes being sent to OpenAI?
What personal notes? That Sathyaraj has managed to turn about 3 weeks of work into three months? That I have to remember to hound the platform team to review a change request? Or that I requested a production change so I have to remember to go to the approval board today to get it approved?
OpenAI can have all that.