LLMs are getting better at a rapid pace and in a year or two, Chinese LLMs should easily catch up with the best of the models. Models have kind of reached a saturation point and that’s why OpenAI and Anthropic are doing an IPO now. Because a year down the line when their lead diminishes even more, they would be worth lesser money.

SpaceX has clients to put payloads into space, but those clients have always looked for good low cost alternatives. It is going to have competition in the future and will lose customers.

Is there some code or results from experiments where we can see the speed up?

Your title is clickbait

If you meant American citizen human rights, then you’re correct.

This would be a game changer, currenly Voice Readers do not work very well with websites and a11y is a clunky set of tags that you provide to elements and users need to move around elements with back/tab and try to make a mental model of what the website looks like. With MCP and Voice chat, it is like talking to a person.

But ever since LLMs have released, I do find myself writing long prompts and then waiting for LLM to do the implementation. They are not perfect by any means and make a lot of mistakes, but I have found that verbose prompting does usually get the job done.

Now these sessions usually last a few hours due to how slow LLMs are and I usually work on larger pieces of work. I am used to working long hours and typing for a long time, but this is new. I find myself waiting for 70% of the time for an operation to happen.

I find myself watching tv shows or youtube videos or even doing some creative writing on the side while LLMs do their work.

So I was just wondering what other creative things the HN crowd has come up with to do while LLMs are doing the grunt work for you.

Comments URL: https://news.ycombinator.com/item?id=45913245

Points: 8

# Comments: 13

Use the tool which is appropriate for the job, it is trivial to write code to use them with LLMs these days and these software are mature enough to rarely cause problems and tools built for a purpose will always be more performant.