chromacity

If that book was titled "hey mentally ill person, you should kill yourself", and if I was handing it out in front of a clinic, then yes, I'd probably bear some blame.

Normal, well-adjusted people have genuine difficulty understanding the boundaries of this tech specifically because it's designed to be sycophantic and human-like. They ask AI for life and career advice, use it for therapy, ask it to interpret dreams, develop romantic relationships with AI "girlfriends", etc. I had two friends who believed they are "exploring the frontiers of science" with ChatGPT while spiraling into the depths of quantum multidimensional gobbledygook.

I'll give you that some on this is on us because we just don't know how to deal with a "human-shaped" conversation partner that isn't human and has no trouble praising Hitler if you prompt it the right way. But if you're building a billion- or trillion-dollar empire on top of it, you don't get to wash your hands clean.

Public schools are public schools. They're more or less compulsory and are just meant to try and get you to a point where you can contribute meaningfully to the society.

Princeton is very much optional and is a school for future elites. They're supposed to produce CEOs, politicians, and Nobel prize winners. So the standards should be different.

Of course, expectations are a part of the problem. Many kids go to Princeton or Stanford or MIT because they had wealthy parents who really wanted their kids to go there. And many of these kids are mostly interested in computer games, weed, and the opposite sex. A combination of unmotivated students and high academic standards lead to predictable outcomes.

But that's precisely the evolution we've seen in the past 20+ years. For the sake argument, let's say that Fox News started it by more overtly embracing a specific political alignment for stories and opinion programming. Then, MSNBC noticed and went the other way round. Then, "new age" outlets such as Breitbart News and HuffPo took that to its logical conclusion, not even pretending to describe reality and just focusing on portraying the other side as evil and dumb.

The end result isn't that we're more informed and enlightened as content consumers. It's that everyone has their own version of reality. The boring neoliberal consensus of the old had many downsides, but at least it provided some social cohesion in that everyone was more or less reading the same news.

I continue to be impressed by our collective willingness to engage with obvious AI slop, as long as it also talks about AI. Sincere question for any of the nearly 300 folks seem to be arguing about the article: why? The author couldn't be bothered to present their case, so they probably don't care about our opinion. They just want traffic and search ranking with the least amount of effort. The community is literally being played for clicks.

Is it just that the subject line alone is a springboard for casual discussion? If so, maybe that's fine, but then, it feels like we'd be better off cultivating these discussions as "ask HN" posts instead of boosting this kind of web content.

The usual explanation in these threads are "chargebacks", but come on. Payment processors could deal with chargebacks and disputes just fine. They suck for the seller, not the credit card company.

What US companies are afraid of more is PR and regulatory risk. Zelle has no chargeback process, but still bans the sale of automatic knives, fireworks, ammo, and firearm parts. Venmo bans a nebulous category of "products that present a risk to consumer safety". You better not be buying any vintage lawn darts for your collection.

The chargeback rate on knives or firearm optics is probably not any higher than on anything else. What's higher is the likelihood of a headline along the lines of "kid dead / injured because of Paypal". And so, we end up with digital payment processors as the arbiters of morality.

If humans can find bugs, why can't humans write flawless code?

Whatever the answer to that conundrum might be, LLMs are trained on these patterns and replicate them pretty faithfully.

My reaction to the first demo (recipe) is that it was slower than typing the same thing on your keyboard.

The second demo seems to be a wash: there's no time saved in saying "move this" versus "move crab". And an app-specific contextual menu would probably be faster.

The third demo doesn't seem to warrant the use of a pointer at all, since there is only one way to interpret the prompt.

None of this means that this approach will not be successful, but there's a reason why so many attempts to revolutionize user interfaces ended up going nowhere. Talking to your computer was always supposed to be the future, but in practice, it's slower and more finicky than typing.

In fact, the only new UI paradigm of the past 28+ years appears to have been touchscreens and swipe gestures on phones. But they are a matter of necessity. No one wants to finger-paint on a desktop screen.

The main thrust behind their foray into hardware was that they feared being cut off. Whoever controls the terminal has the power to push users toward their own platforms (Bing, Microsoft 365, etc), and I guess they could see the writing on the wall and wanted to have a platform they control.

As for this project, I think part of it is just the conclusion of internal power plays between Chrome and Android. The other half is probably the same fear as before: if Microsoft puts their own AI closer to the user, Google will have a hard time keeping up. So the best defense is to have your own "AI-first" OS.

Keep in mind that Microsoft doesn't need to win to hurt Google's bottom line. For example, if Bing captures 5% of search through OS- and browser-bundling strategies, that's still a 5% that Google can't have.

I think this is an odd article. It mixes together a variety of technologies that have little in common (gas discharge tubes, CRTs). It doesn't really say anything about the operation of vacuum tubes, their advantages, or disadvantages. And doesn't even really support its own thesis. The reign of vacuum tubes lasted for less than the reign of the transistor and is in no way unusual in the world of electronics.

There are quite a few interesting stories to tell here. Probably the most interesting one is that transistors still underperform vacuum tubes in many respects that would matter to purists, but that don't matter in real life because we learned to compensate for it. Well, except for niche audiophile audiences who don't believe in negative feedback or digital signal processing and want a very linear amplifying component... that they then connect to op-amps, DACs, and ADCs on both sides because that's the only practical way to do it, but there's a performative tube somewhere in between.

Another cool story: there were some "integrated circuit" vacuum tubes!

> I wonder what gives them that "high confidence", as opposed to this being just a traditional zero-day?

Google, Cloudflare, and Microsoft are a trio of companies that get to see most of what's going on the internet. I imagine that if they see you attacking them, they can work back from that and get remarkably far, even against sophisticated actors. If it's their LLM, they presumably keep transcripts. If you searched for the affected API function via a search engine, they almost certainly know. Even if you used a competing search product, you probably went to a site that has Google Analytics. Oh, and one of these companies probably has your DNS lookups. And a good chunk of the world's email traffic. And telemetry from your workstation. And auto-uploaded crash reports... And if it's bad, they can work together behind the scenes to get to the bottom of it.

So, when their threat intel orgs say they have high confidence in something, I'd be inclined to believe it.

> LLMs are really good at translating to different programming languages.

...for which ample training data is available.

> This makes sense, given that they are derived from text translation systems.

...for languages with ample training data available.

Yes, LLMs can combine information in novel ways. They are wonderful in many respects. But they make far more mistakes if they can't lean on copious amounts of training data. Invent a toy language, write a spec, and ask them to use it. They will, but they will have a hard time.

No, come on. Have you really tested all VPNs in 2026 and picked the best one? You're posting 100% AI-slop articles and the internet is already overflowing with this content.

This is an AI-generated article on an obvious spam blog that also features such bangers as "Best VPNs in 2026 for privacy and security", "Best crypto hardware wallets in 2026", etc. I'll still engage because I guess that's what we do on HN right now. If you have a single, stable online identity, it doesn't matter how much noise you inject, simply because you can't avoid linking that identity to yourself - through the social graph, through photos, through interests, etc.

Your best defense is to use stable identities only for the things where keeping a historical record of your interactions is important to you. So sure, your GitHub portfolio (in the pre-LLM era, I guess), your research papers, maybe LinkedIn. But political flame wars on Reddit? Change accounts and delete comments aggressively, the only value of keeping it around is helping the bad guys.