LLMs are famously bad at Chess. They have no world model and they are not trained to be good at Chess. This is not the amazing point you think that it is.

The training (i.e. all of the red teaming and CTF content they could scrape) told them to.

As soon as I read this: "Everyone Bought the Motor. Ford Rebuilt the Floor." my brain recoiled and I did not want to continue reading it.

This is rapidly becoming the damning accusation of quasi-journalism: this sounds like AI.

There should be journalism classes on how to not sound like a bot.

impossible, because bots will adjust to new way of writing very quickly. at the end of the day, they will be trained with the new style

Yep that was the exact moment for me too. The premise was interesting, but I hit that spot and just registered it as not worth proceeding.

Interestingly I did not directly recognise the text as AI, but this is precisely the moment that I stopped reading.

I don't think anyone is worried about user expectations. It's management expectations. The output expectation goes up, while the quality of that output goes down, but is still your responsibility.

I'm not surprised professional software developers are not enjoying AI development.

With that many people out of work, you may struggle to hold on to that capital.

That's where the fully automated weapons systems come in. Robotics and AI give the megalomaniacs of the world both a reason and the means to kill everyone with impunity.

The rest of the 21st century is going to be really messed up.

Parking meter payment scams are relatively common.

They're obviously not going to trick HN readers. But the general public is not so savvy.

I want to push back on this. Hacker News was way more interesting before 75% of the submissions were about AI.

¿Por qué no los dos?

Removed that line just before commenting :)

If that was true then Anthropic would have built this functionality in themselves.

They did. On any long running query with large context, tell Claude “give me a status report every 4 minutes to keep the cache warm”. It’s entirely happy to oblige and usually says “good idea, that will keep costs down”

> Anthropic is not even hiding that they have been using Mythos internally for months now.

This would be more impressive if their software and delivery quality was higher.