Can you elaborate on this? I thought that the Nazis were pretty obviously the "bad guys" due to committing genocide and mass casualties (combatant and civilian) while trying to expand their borders.

> It doesn't make any sense to try to judge morality based on casualty ratios.

Really, even the ratio of civilian casualties, or ratio of civilian casualties to combatant casualties? Those seem pretty relevant to morality in my book, but I might be misunderstanding.

Certain communications, especially technical writing, are "expensive" both in terms of the effort of the author(s), and in terms of the person-hours of people reading them to gain understanding. Like mission-critical code, they should be written and reviewed with care, and at the very least heavily edited from an automated LLM output to be unrecognizable as such.

I personally don't use LLMs at all in my designs and I remain skeptical of the value proposition for those who do.

Another obvious ChatGPT-ism. The fact that people are using AI to write these security posts doesn't surprise me, but the fact they use it to write a verbose article with spicy little snippets that LLMs seem to prefer does make it really hard to appreciate anything other than the simple facts in the article.

Yet another case in point for "do your own writing" (https://news.ycombinator.com/item?id=47573519)

I cannot think of a more important skill than surgery to continue training humans to do and to be wary of AI robotics replacing. Sure, some surgeries could likely be automated, but the entire point of specialist surgeons is to make choices and act in a timely manner in ambiguous situations with extremely high stakes.

What happens when the robot messes up? What happens when the internet is down, or the hospital is operating under abnormal circumstances? How do you teach, train, and collaborate with human medical workers and caregivers in a world where surgeons have been replaced by robots?

Most of the excess costs for healthcare and surgery aren't the humans doing the work. I think there's a lot of other areas we can optimize first, chief among those in healthcare being the cost structure around private businesses and insurers bloating the bill with administrative costs. There's a reason every other developed nation has a single-payer healthcare system and better outcomes, and I don't think an AI breakthrough is the only plausible solution to improving costs in the US. In fact, under the current system, an AI breakthrough in medicine would likely hurt the workforce more than it would improve costs.

I've seen enough GPT-generated slop that I find its style of writing very off-putting, and find it hurts the perceived competence or effort of the author when applied in the wrong context. I'm not sure if direct translation tools serve a better purpose here, but along with the other commenters, I personally find imperfect speech that was actually written "by hand" by the author easier and more straightforward to communicate with despite the imperfections. Also, non-ESL speakers make plenty of mistakes with grammar, spelling, etc. that humans are used to associating with "style" as authentic speech.

It can also become a crutch for language learners of any age / regardless of their primary language, that inhibits learning or finding one's own "style" of speech

Also,

> I do my best to boycott bad things. And I fail pretty often. I still use Amazon on occasion and I can’t get off Spotify. I use Uber and DoorDash a lot more than I’d like. And I have too many Apple products/services.

OK, I can intuit why most of those are bad, but can somebody give me a good-faith interpretation on what's bad about Apple?

I'd assume it's the working conditions and material extraction processes in China, parts of Africa, and elsewhere, but isn't that true of every piece of consumer technology? The only better companies for consumer hardware that come to mind are Framework and Google for recycling parts and raw materials, but the whole point of the article is about de-googling and Framework's products are relatively niche and at a much lower price and performance / market category.

Edit: the true "test" will really be can Anthropic maintain their AI lead _while_ holding to ethical restrictions on its usage. If Google and OpenAI can surpass them or stay closely behind without the same ethical restrictions, the outcome for humanity will still be very bad. Employees at these places can also vote with their feet and it does seem like a lot of folks want to work at Anthropic over the alternatives.

[1] https://www.wired.com/story/google-responsible-ai-principles... [2] https://classroom.ricksteves.com/videos/fascism-and-the-econ...

I know this is somewhat a joke site, but I think admitting this really proves Apple's dominance and doesn't really help in making your case. So long as the walled garden / "platform" approach still works, enshittification will continue

I've noticed ChatGPT is rather high in its praise regardless of how valuable the input is, Gemini is less placating but still largely influenced by the perspective of the prompter, and Claude feels the most "honest" but humans are rather easy poor at judging this sort of thing.

Does anyone know if "sycophancy" has documented benchmarks the models are compared against? Maybe it's subjective and hard to measure, but given the issues with GPT 4o, this seems like a good thing to measure model to model to compare individual companies' changes as well as compare across companies.

Naive question, but isn't this relatively safe information to expose for this level of attack? I guess the idea is to find systems vulnerable to 0-day exploits and similar based on this info? Still, that seems like a lot of effort just to get this data.

I do think it can be a double-edged sword that often leads to burnout. Respecting your limits and occasional therapy seem to help, as does ensuring you're in as stable and supportive environment as possible so your efforts are sustainable and "heroics" don't get normalized in your org. I wish I had a full solution but have yet to find one in my career that works :)

Yep, here it is: https://kibty.town/blog/mintlify/

Also linked in his guide (which I missed) and [here in a separate HN post](https://news.ycombinator.com/item?id=46317546). I think this other author's post is a lot more detailed and arguably more useful to folks reading on HN.

I found this a bit silly given the headline: "well duh, that's the theoretical limit barring fancy quantum entaglement nonsense or similar!"

TIL all electromagnetic waves, including radio which Voyager 1 [uses](https://en.wikipedia.org/wiki/Voyager_1#Communication_system), travel at the speed of light. For some reason I always thought we had satellites doing some slower process or needing to somehow "see" light photons coming back from the probe to achieve near-lightspeed communication.

I think Premium users tend to be the most affluent desirable group for ad targeting (similar to iOS users on other platforms) and even though YT Premium lets you avoid ads on YouTube, I suspect one's activity feed/"algorithm" on YouTube factors a lot into Google (and others'?) ad targeting. The same eerily effective feedback loop for getting TikTok and YouTube suggestions works better with short-form video, so even if users aren't seeing ads, YouTube still has an incentive to have people use it. So, there's money to be made in dialing in your "algorithm" from using YT Shorts even if you're a premium user.

I'm sure the other stuff about KPIs for increasing usage of shorts to compete with other media sites is accurate too

Furthermore, heroin != vodka in terms of how addictive it is for the average user, and that's partly why only one of them is legal for recreational use.

Controversies about decriminalization aside, harm reduction exists as a studied component in addiction, public health, and psychology circles for a reason.

My leading theory is that the pandemic supercharged a lot of folks' individualist tendencies and/or nihilism, and we're seeing the decline in real time. To claim that the author is simply missing the incentives, bureaucracy, or other structural mechanisms behind enshittification, is missing the point, and they even allude to these towards the bottom of TFA!

Poking holes in the examples is similarly missing the point, but I know we love correcting people on the internet. Cunningham's law and all that...

I found it an interesting read and hadn't heard the term before, but it's exactly the kind of nerdy serendipity I come to this site for!

Maybe a co-op (https://en.wikipedia.org/wiki/Cooperative)? There are also "for-profit" like businesses that are oriented around a different goal than just profits, https://good.store/pages/good-store-about-us comes to mind.

I can't say I use it as often these days, but it's still installed on my PC at home and it's a reliable tool that I think back on fondly. Without it, I might not have "leveled up" to more advanced tools later on.