zlacker

>>tablet+(OP)
I’d love to see the authors of effusive praise of generative AI like this provide the proof of the unlimited powers of their tools in code. If GAI (or agents, or whatever comes next …) is so effective it should be quite simple to prove that by creating an AI only company and in short order producing huge amounts of serviceable code to do useful things. So far I’ve seen no sign of this, and the best use case seems to be generating text or artwork which fools humans into thinking it has coherent meaning as our minds love to fill gaps and spot patterns even where there are none. It’s also pretty good at reproducing things it has seen with variations - that can be useful.

So far in my experience watching small to medium sized companies try to use it for real work, it has been occasionally useful for exploring apis, odd bits of knowledge etc, but overall wasted more time than it has saved. I see very few signs of progress.

The time has come for llm users to put up or shut up - if it’s so great, stop telling us and show and use the code it generated on its own.

>>grey-a+ba
I build tools all the time using AI tools that would have taken me 10x longer before. A couple examples below. The first example was a literal one shot of my dumping the full page html into cursor and asking it for the feature I needed. In using it today it already saved me over an hour of analysis time across the refunds I analyze. The second example includes using AI for better classifying text and having our support people better use their time to help customers. I could have probably made the second thing without LLMs but I didn’t have the skills. Here I was able to provide concrete value to our company and our customers.

https://github.com/Atlas-Authority/mpac-ui-improved https://moduscreate.com/blog/forum-monitoring-is-essential-b... (Pardon how marketing keyword stuffed the final post)