Coding with LLMs (Claude Code, OpenAI Codex) is often presented as the ‘killer app’ for Generative AI. But looking at data, it seems the one piece of the puzzle missing is actual cost. …
My CEO (whom I don’t consider a particularly good or bad CEO) spent a day playing with AI then when asked if he’d sign the company up with the service he literally laughed in their faces and said it’s useless. I was honestly shocked because he’s totally into buzzword and popular crap. Gained a lot of respect for him that day.
Published a library doing some very specific data processing. One of the algorithms I implemented was a bit too slow: it would take about a week to process data. I reckon implementation was a little bit sloppy, but I’ve been implementing a bunch of algorithms from research papers and this was pretty much the published implementation.
I asked Claude to analyse the implementation and check whether it could be improved, half an hour later I got a 26,000% improvement in performance with exactly the same results passing all tests.
Of course, I could have done that myself. But optimization had to go down to simd level; I doubt I would have been able to do that in less than a week of work.
My CEO (whom I don’t consider a particularly good or bad CEO) spent a day playing with AI then when asked if he’d sign the company up with the service he literally laughed in their faces and said it’s useless. I was honestly shocked because he’s totally into buzzword and popular crap. Gained a lot of respect for him that day.
An older co-worker seems to ask AI for help during work, we are blue collar. But the Owner of the company does not seem to use it whatsoever.
I ask Claude on occasion, to see if it will say something smart (it was mostly useless as fuck).
Honestly I think Claude it’s good at programming. Way better than ChatGPT.
But I ain’t going to pay for it.
Published a library doing some very specific data processing. One of the algorithms I implemented was a bit too slow: it would take about a week to process data. I reckon implementation was a little bit sloppy, but I’ve been implementing a bunch of algorithms from research papers and this was pretty much the published implementation.
I asked Claude to analyse the implementation and check whether it could be improved, half an hour later I got a 26,000% improvement in performance with exactly the same results passing all tests.
Of course, I could have done that myself. But optimization had to go down to simd level; I doubt I would have been able to do that in less than a week of work.