Kevin Roose

I tried to build some stuff to help me sort through my emails, and it couldn't do it.

It was mostly useful to professional programmers.

So the big innovation between last year and now is what is called agentic coding.

agentic coding is basically just a fancy way of saying an AI system that can do much more of the process autonomously.

So you still do have to like have the idea for what you want to build.

But then with these new tools, you can just sort of give them a project and they can make a plan.

They can decide what programming languages they want to use.

They can even create their own little team of agents and say, okay, you know what?

This agent's going to go off and do the research.

This agent's going to build the website.

This agent's going to test it.

And so you sort of have a little team of robots working for you to do whatever task you've given it.

Well, because these models are getting much better very quickly and they are now able to do the kinds of tasks that would take humans hours or sometimes even days to do.

And so they are working their way up into the entry level functions in a lot of white collar industries.

The models themselves are also getting much better.

They're not hallucinating as much as they used to.

They're not making as many silly mistakes as they used to.

They are doing better at things like reasoning and solving complex math and science problems than they used to.

So sort of across the board, these things are getting better at a pace that is surprising even the people who are building them.

So this is largely being driven by a handful of companies that are sort of the leaders in this AI race.