I saw someone handing out samples of creatine at Costco the other day, spouting all sorts of stuff like it's a wonder drug.
It's definitely becoming mainstream.
I've taken it off and on for the past 15 years, the most noticeable effect is about 5lbs of weight gain. I do think it helps gym performance and the increased water retention mames for better muscle definition.
Ask for output to the user in "simple technical English", let it think how it wants. It is hard to believe all the flowery prose is actually helpful to the model.
The worst thing is that I know there's something interesting in there but I'm too arsed to take the time and decode what data the author must have used to generate that text.
Exactly, it would be so much better if they shared the prompts instead of the output, at least then we'd be able to make some sense of what they were thinking about.
Unfortunately the prompt may have been something like "investigate this bug and file an issue when you think you understand what's going on". The "better just to share the prompt" heuristic falls down when the actual underlying intellectual work was also done by the machine.
(Feel free to pretend that I used some phrase other than "intellectual work" if you dislike seeing it used to describe something done by AI.)
Yeah in that case just closing it and moving on would be better IMO. A sufficiently large fraction of the time the issues with vibeslopped code and/or analysis are bad enough once you start digging into it that it's not worth spending time on. My heuristic would be to simply ignore contributions derived from lazy prompts. I don't think there are very many healthy babies in that bath water.
So having the prompt available would be useful even in the degenerate case.
I encountered that blocker today, so I decided to try Safari's Hide Distracting Items (1) feature, which blocked it once and for all, which I was pretty impressed by.
This works well for jobs that are long-ish. You need another process to sweep for orphaned jobs and requeue or fail them. Add a timestamp of when it got picked up to keep track
LLM's can help with all of the above. Deployed an app with a backend, frontend, docker database and more with gitea on my NAS just yesterday. Have little knowledge about how it did it. Now I have a git remote to which I push and the app updates itself.
I guess it works well until you hit a stateful failure. My concern would be Day 2 operations—debugging a database issue or networking partition without a mental model of the underlying architecture seems pretty painful.
It's definitely becoming mainstream.
I've taken it off and on for the past 15 years, the most noticeable effect is about 5lbs of weight gain. I do think it helps gym performance and the increased water retention mames for better muscle definition.