pgwhalen

It would be genuinely shocking at this point if any of the frontier models weren't well exposed to the problem.

I see this as more of a cute historical artifact than anything. There was a time when models/harnesses behaved like this, but we are well past it for frontier (or not so frontier) models.

As someone raised as a light packer, I've come to the opposite conclusion a little: I'd prefer packing "medium" to have a lot of flexibility to be dressed well for whatever may come up. A small half-full duffel bag isn't that much better than a full one, so if I'm on a short trip I've found that I'll often appreciate having the extra options.

That being said, I literally do not own a roller bag, and am quite happy taking the stairs.

Indeed this is my source for the claim!

I think you say “as good as they can get with [the] hard manual work that goes into compiling them” as a way to respect the challenge of the BLS and say they’re doing the best with their resources, but it’s worth pointing out they could be better with more resources.

From experience I can say that traders prefer extraordinarily little whitespace in their UIs.

I’m no UI expert - what’s wrong with the margins?

Could you not send a message that pointed to the state that changed in a non-row-specific way?

As someone not good at identifying this myself, what about this post indicates AI editing?

So if the matters to you, run the LTS release, right? I'm not sure I follow the concern.

Distinguished version: write the outline of the slide deck for the talk you plan to give at conferences about it, without having shipped anything or even written code yet.

These takes Arne necessarily incompatible. It can be a great tool for helping you do this kind of big picture design, but still need you as a guide and taste-maker to get to a good end result.

It’s worrisome, but it’s also worth pointing out that no one else has succeeded at it, or even gotten close. It’s easy to forget that there are not good well-integrated person AI solutions yet, it’s just chat bots. I think it’s just harder than a lot of people think it is.

If it helps, I could have written this comment just about word for word, and you can check my account and see that I’m clearly human.

I would probably add that I’m nervous about AI search results and how it affects the future of the internet and content creation in general, but from the perspective of a user, I’m pleased with the direction.

Oh I'm sorry, I didn't see you were different than the commenter I was responding to.

Can you link to it? Your comment history does not show such a comment.

Can you explain why? I'm getting better at detecting some kinds of AI writing, but I constantly seem comments like this on HN for things I'm much less suspicious of, and I want to understand why people make them.

Did you read the article? They did not believe that the token the agent had access to had the ability to delete production data using it.

Who is building an artificial wall? Maybe I skimmed the post too fast, but it doesn't seem like this information is being presented as "you have to know/do this before you start agentic engineering", just "this is some stuff to know."

As not a shill myself, who comments on a variety of stuff regularly, I could totally see why the mention of a product someone loves is the thing that pulls them out of lurking.

It’s just how discussion on the internet works, for basically anything at all worth discussing. It’s exhausting, but I can hardly blame HN specifically.

You could break it down further if you like, yes.

Everything is complicated by money. I wish we were better about shielding politics from money. So much about society in general is about money, it ain’t easy.

Lobbying is literally half of what representative democracy is. First, you elect representatives to office. Then, you try to get them to do what you want. The latter is lobbying.

Of course, when money becomes a significant portion of how the second one happens, things can get complicated.

Isn't this post an announcement of time-based billing? Just in a kind of indirect way (not billing, rather than billing).

Also, my (extremely naive) understanding is that at the cutting edge, hardware is diverging for training vs inference. That might not be true for Anthropic though.

While it may not have “agency” it definitely doesn’t necessarily do what you tell it. I’d put it as “it may do what you let it.”

I really am quite in awe of Claude Code recently, so definitely not a naysayer, but this is a really important point. It’s so easy to create code, but am I shipping that much to prod than I used to? A bit.

Obviously this highly depends on your company and your setup and risk tolerance and what not.

I’m a heavy user for about four months now, and it’s definitely getting better for me. How would you say it’s getting worse?

What is that spend compared against though? They already spend hundreds of billions of on various things in a year, but what is the marginal spend?

When you present these numbers alongside each other, you imply that they will go from making ~$20b/quarter to losing ~$30b/quarter, which is not plausible to me.

> They literally don’t have the cash to do it.

I don’t understand this? Amazon is a profitable company, on the scale of tens of billions of dollars per quarter. They very literally do have the cash.

Am I missing some subtlety in their financial reporting?