camkego

How has no one mentioned the Sealand micro nation off the UK?

Someone downvoted you, but if you do look at the sweatshirt sales webpage, it does say this

"Licensor: Bundesnachrichtendienst (BND), the German Foreign Intelligence Service

The BND logo is a registered trademark of the Bundesnachrichtendienst in Berlin, Germany. The BND is not involved in the operation, production, or sale of these products and accepts no liability. The BND does not receive any revenue from the BND Shop."

Which does seem a little bizarre.

Maybe I’m missing something, but it seems to me, the performance numbers on the main results charts are meaningless without any units or other ranges or indicating they are percentages. It’s also surprisingly non quantitative for basic quantitative type writing and work. Is that a 9 point gain on a range of 0 to 1,000? 9 percent gain?

This is great! Thank you!

When this happens, how often does it cause us to lose our cached pricing? (when we should be getting the cached price)

This seems like a very surprising point of what happened here, sure, I wouldn’t be surprised to hear a $40 million award by a jury, but that’s kind of unusual from an arbitration judge isn’t it? The whole reason companies mandate arbitration in their EULAs (or equivalent) is so the can avoid 40 million judgments.

I’ve often thought that single threaded architectures that can eliminate whole classes of bugs are often undervalued.

For example, the command execution design of Redis is purely single threaded. (Redis does have other threads for slower activities)

“Our competitors are our friends. Our customers are the enemy."

This great quote was brought to us by executives in the 90s at Archer Daniel Midland, an agricultural company.

That’s what comes to mind as I hear about the AI companies talk about pacing themselves.

Yeah, yeah, yeah, they want to reduce the risk of powerful AI doing bad things.

Ideally that would be the case that all ad-spend can be tracked through end conversions, and for many businesses it can be. But for much of the corporate world, you don't know where your end conversions come from. (Think Nike shoes, etc) It's estimated about that 35% to 45% of all digital ad spend goes to brand awareness, video reach, and other upper-funnel methods where direct conversion tracking isn't possible.

I honestly think the article misinterpreted the Git mailing list email.

The first line of the article says:

"People at Git has started to work on a proposal to make the Rust programming language mandatory."

This sounded to me like all future code would need to be Rust.

But the Git mailing list email says:

"Announce that Git 3.0 will make Rust a mandatory part of our build infrastructure."

Also, the original Git mailing list email says:

"[author is porting to Rust the...] "varint.c" subsystem, mostly because it is trivial and does not have any dependencies."

So, the email on the Git list says they are testing changing a small piece of C code to Rust, and Rust build tools will be mandatory [to build] (which is not surprising if a non-optional part of the code base is Rust).

If Anthropic really wants to make a statement they could independently pace their own model development, and ask others to make the same pledge.

Somehow, I suspect that won't happen.

I would say it's not really a "rando anecdote", but the whole basis of the relationship of the first actual study in the paper.

To quote the paper:

"Our first two studies were naturalistic field studies, and examined whether upper-class individuals behave more unethically than lower-class individuals while driving. In study 1, we investigated whether upper-class drivers were more likely to cut off other vehicles at a busy four-way intersection with stop signs on all sides. As vehicles are reliable indicators of a person's social rank and wealth (15), we used observers’ codes of vehicle status (make, age, and appearance) to index drivers’ social class."

If the marketer is an employee or a consultant, is it in their interest to show that the ad-spend they are controlling is high ROI, or low ROI.

Maybe this is a cynical take, but, if they get to the bottom of things, and show their boss/client that the ad-spend is not returning so much, it seems it would portend bad things for the marketer.

I really don't know, and it seems like a very hard problem.

Maybe this is the time for that Upton Sinclair quote: "It is difficult to get a man to understand something, when his salary depends upon his not understanding it,"

The final paragraph says this, among other things:

"The court ruled on a preliminary injunction request, so it’s not the final word on the merits. Still, it seems highly likely that the TWEET term and the bird logo have been freed from X’s trademark clutches. If so, it’s nice to get some cultural assets back into the public domain"

Seems kind of dubious to say the least.

This really does seem to call into question the credibility of this study.

Calculus can get pretty heavy, but I really value the comfort it gave me of the concepts of velocity and acceleration, (not to speak of higher orders) of which I am sure I wouldn’t understand nearly as well without the calculus background. I’m sure for most of HN velocity and acceleration, etc seem like super basic concepts, but I just don’t think I could apply the mental models as easily as before I took calculus.

The Bank of Canada at 234 Wellington Street. If you try standing around taking photos for over fifteen minutes or so, let us know how that works out.

I find this very interesting, I wonder if there is a public benchmark that reflects this “red team coding critique” aspect of the current SOTA model that reflects what you have observed.

It would be really useful to observe this in a benchmark vs. the more common “go implement this, or fix this bug” type benchmarks that seem to be prevalent.

Honestly, TL;DR

I wrote a summary for you...

"Because they receive a rebate, credit rewards-card users often effectively pay less than the posted or cash register price for equivalent goods or services."

> So they _are_ going to train on them, no matter how many checkboxes you tick to stop them.

This is the part that is truly scary.

Nadella the CEO of MSFT wrote that post “ A frontier without an ecosystem is not stable”

It seems to me that the unspoken assumption in that post is that no matter what happens they’re gonna be training on your data.

He’s the CEO of Microsoft, he knows how these decisions go down, he knows how the world works, he is sending a warning.

I just tried this with Fable, and so far, it look fantastic, thank you so much.

The web page doesn't seem to load correctly in the Safari browser for macOS 26. Seems like something they might want to fix.

Slop city, it felt like I was having an LLM chat.

Your app asks people if they would like to upload their contacts? That’s a massive dark pattern. I was interested until now.

Sorry to pile on, but yeah, I wanted to use etcd during 2021 and 2022, around v3.5, but etcd had serious issues including silent data corruption. If you are curious, ask gemini flash "there were a number of etcd releases years ago where it seems a new wave of developers came in and started breaking everything"

The article says "A new Arizona law that took effect in late July makes deed fraud a felony", does this mean deed fraud has been a misdemeanor ? (Link from rawgabbit below)

With a median lifespan of 7.35 years, although I doubt that 9% per year remains constant as the number of years increases.

Does this article really compare a single well defined LLM model "Kimi K3" vs. a family of LLM models including Haiku x.x, Sonnet x.x, Opus x.x, Fable x.x without actually revealing what Claude-family model was being compared?

(Fable has been restricted somewhat, but the article uses Fable pricing as a comparison point, so it worth including it in the list of possible Claude family LLMs)

It's hard to know what to take away from the post with this ambiguity.

It's also worth noting the range of pricing for the Claude family ranges from $1/$5 a million in/out to $10/$50 a million in/out, so the ambiguity of which particular model the comparison is against spans a 10x range of model fees.

I've got to give the author credit, it seems like this is written without an LLM. But, there seems to be a lot that is arguable.

For example, the article says "Natural language is the interface of last resort."

But, is that actually true? Isn't the AI boom happening because N/L is truly available as an interface?

Anyway, please keep writing and asking tough questions.

This project desperately needs a rewritten introduction, hopefully with outside feedback.