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I moved away from mac because of the OS and couldn't be happier. The hardware may be great but non-Apple hardware is fine too, and Linux is significantly better experience than MacOS these days.

No idea, and I don't think anyone does, hence the prediction that it won't happen anytime soon. Either we need perfect simulations (seems almost impossible) for training at scale or fundamental algorithmic breakthroughs in learning from very sparse data that we can collect in the real world.

I fail to understand why 888 KiB matters if it's just a wrapper around a cloud api.

I'd love to see what is being achieved by these massive parallel agent approaches. If it's so much more productive, where is all the great software that's being built with it? What is the OP building?

Most of what I'm seeing is AI influencers promoting their shovels.

It's the same as it has always been, the only difference is that you are being bombarded with these issues because you are terminally online and use social media while previously you were blissfully ignorant. The solution is to touch grass and stop worrying about things outside of your control.

Not anytime soon. The big leaps in LLMs don't really carry over to robotics much, aside from some computer vision stuff. I'd say we're still 10+ years out from robots cooking for you. Maybe we'll get some kind of dedicated 'cooking machines' if there's money in it, but not humanoid cooks walking around your kitchen. And even that's being pretty optimistic because right now there's no clear way to get there, and we'd need some real fundamental breakthroughs to make it happen.

"Humans are now writing code in strict specification language so that AI agents have completely context and don't mistakes. This specification language is called C' and has led to a whopping 20% reduction of code. 1000 of C++ code can be expressed in no more than 800 lines of specification C' code written by humans"

Does that mean more issues will show up soon?

I don't know either what the solution is other than human verification, but nobody wants that. Perhaps the times of semi-anonymous online communities are over and the best you can do now is follow real people you trust that can filter content for you.

How is this highly upvoted and on the front page? It's so clearly at least 50% AI written slop, probably closer to 95%. Wow HN these days... this site is dying, completely overrun by bots.

It can schedule stuff and run in a loop, so it's like claude combined with cron. Truly amazing technology.

Where is the detail? Examples? Something concrete? I don't think it is, but it does read like LLM generated content marketing. Lots of generic statements everyone knows. Yes, dev environments are helpful. Have been for 20 years. Yes, context and rules are important for agents. Surprise.

TLDR "look we use AI at Stripe too, come work here"

It depends. If you have an LLM that uses reasoning the explanation for why decisions are made can often be found in the reasoning token output. So if the agent later has access to that context it could see why a decision was made.