Another interesting finding which I've heard others corroborate is that even though the per-token cost was higher, it seemed to orchestrate the work efficiently and burn through fewer tokens, roughly evening out to approximately the same per-prompt token usage as Opus.

I suspect productivity will massively increase, the complexity and cognitive load of our work will similarly multiply, and yet we'll still being doing the now-more-complex work in some capacity for a similar number of hours.

My guess is that Google sees some kind of trend in a contingent of users preferring non-AI content and that surfacing AI content misleadingly has a negative effect on retention / watch time, and/or they're trying to get ahead of long-standing creators taking issue with the platform surfacing AI content disproportionately on account of it being excessively easier to upload in large quantities.

The much broader version of people getting a bit too full of themselves or trusting an LLM's sycophantic nature as validation that they are right or uniquely smart with their ideas seems to be the version I'm seeing more of in tech news sites and places like HN

[1] https://www.psychologytoday.com/us/blog/urban-survival/20250...

That said, I find it really hard to believe that they can't provide better specs and feature set for the cost. User-available memory of 3.5MB is incredibly low, especially with Python support. These could be really cool handheld computers if TI put more effort into their devices that already have a massive install base.

Currently, most of their popularity in my experience is "lock in" effect from teachers who are familiar with TI calculators and lab / curriculum materials that are specifically built around teaching through TI calculators. At this rate they're charging a lot and resting on their near monopoly status in education, which I'm sure is very profitable for TI.

There used to be a great app called WabbitEmu that emulated these devices on Android. I think they got a cease and desist but it was pretty neat to have back in the day

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.