So, how much was hand-written after the initial 6 hours? It sounds like quite a bit. My experience has been very different. I haven't gotten to the point of releasing anything from AI yet, but I'll spend a weekend throwing prompts, then I'll have an application that does the thing that I asked it to do. I'll use the application over the next week or so keeping a task list of things that I'd want to tweak, bugs, or features that are missing, then I share that document with the AI and tell it to clear the list. If I'm building something with AI, I really don't touch the code. If there is a bad pattern the code, I flag it in my task list and tell the AI to fix it.
Typing. The thought of talking to a computer, beyond "set a timer for X minutes" just doesn't work for me, and that is only used with my watch while cooking.
The models themselves, like GPT from ChatGPT, Opus from Anthropic, etc. are just the "brands" of LLMs. But there are local models, that run on your own hardware as well like Qwen from Alibaba and Kimi K from Moonshot.
Kind of like how Pepsi and Coke are brands of cola.
domain/llms.txt is like a robots.txt for telling LLMs how to best interact with the site. The majority of "LLM" discussion on HackerNews has nothing to do with these instruction files though. LLM, or Large Language Model, is what people outside of the tech community are calling "AI". A lot of discussion is happening on HN about LLMs because they are the hot new technology. If they can fulfill their promises, the could revolutionize the world. Currently they are pretty good at producing decent looking text and code, but if you really dig into the outputs you'll find it is often quite sloppy.
I built out battlellmrobots.com[1], it's a platform for battling bots written by LLMs. The documentation explains how the engine works, what information is available to the bots as they fight, and gives a couple example of example bots. Currently only have 3 users, including myself. Hopefully some more people submit bots and then it'll be more fun fighting a range of bots.
Start? We're well past that. If your SaaS is just a fancy wrapper on some CRUD it's already been cloned by AI a dozen times. Even if it has some level of sophistication, unless there is a trove of data that only you have access to, it's already been cloned.
It's obviously hard to say how accurate these numbers[1] are, but it looks like Twitter has doubled their workforce from its lowest following their mass layoffs. It might be stable again now because they hired the workforce required to actually keep it running.
I think Elon pretended to notice it. Instead of taking his time and doing it right, he was performative in his own actions causing unnecessary problems. In doing so got rid of the important pieces as well as the bloat.
That is likely what it will be. The iPhone Air was probably just a test to see if all the super-thin components could work. Now they'll throw a hinge in the middle and a screen on the back. It'll end up being 2 or 3mm thicker, because of the bonus screen.
j <dot> curcio <at> me <dot> com