skysight-inc/HackerNews huggingface dataset:
I know plenty of friends (mostly medical) who've had "on call" shifts on top of their 9 to 5, but in those cases it was pretty exceptional for them to actually receive a call, and the "interruptions" would be a small number of hours.
An Interview with Oxide's Bryan Cantrill
Using search as a UI is admitting the UI sucks.

It is indicative of a failure, not a solution in and of itself.
I'm not surprised to see w3schools.com up there. I haven't come across it recently because of shifts in what I do, but it used to come up so often when I was looking for coding documentation. It was almost always useless.
The biggest struggle is that the original Macintosh was so simple to manage. The original concept of system extensions to expand the capabilities and the file structure built on the hierarchy with the desktop as the top level was broken with the shift to Unix.

Suddenly the users file hierarchy started wherever the Home folder was located and it became an island of user controlled environment surrounded by complexity of computer operating systems.

The result I found overall well thought out but when the desktop became just a folder I felt the Mac moved from it’s simplicity embracing the complexity that was offered by windows.
Revolving Door: Ex FCC Boss Ajit Pai Promoted to Top Wireless Industry Lobbyist
I think the disconnect is that people who produce serious, researched and referenced work tend to believe that most work is like that. It is not. The majority of content created by humans is not referenced, it's not deeply researched, and a lot of it isn't even read, at least not closely. It sends a message just by existing in a particular place at a particular time. And its creation gainfully employs millions of people, which of course costs millions of dollars. That's why, warts and all, people are bullish on LLMs.
It's not necessarily the fault of the company. The government created the environment to make it the only way to stay competitive for a lot of companies. Some bucked the trend, and I respect them for it. There is a push to bring things back now, but it's going to be ugly. It's much better to avoid the issue in the first place like most countries, but it's too late for that.
> .. Australia could improve a lot but hotels will take a credit card scan

I've not had this done to me in Australia since late 90s early 00s. These days all it takes is a simple tap (or chip swipe) to put a temporary Hold[0] that's released on check-out (or next day).

[0]https://en.wikipedia.org/wiki/Authorization_hold
Does anyone know the mechanism they’re using to determine a Google account was “recently active?”
The US was fairly steadily at war against the native tribes for the first hundred some years of its existence. Except to the extent that the War of 1812 comprised part of the war with Tecumseh's loose confederacy, none of those wars were declared.

There were multiple interventions in Latin America and the Caribbean during the first half of the 20th Century, all undeclared.

I think that ship has sailed, probably to practice gunboat diplomacy.
It's what they have available in the SwiftUI toolbox of "shitty widgets from mobile operating systems" though.

Thankfully, that is also somehow the future of UI frameworks on all of their platforms!
Thanks! That looks like it.

I wonder what the light's spectra and intensity are.

I'm guessing that its cost is prohibitive, or maybe the light's characteristics are just not so great.

I'd love to be able to do some low-intensity tanning at home, for vitamin D and skin health.

Thanks a ton.
I'm pretty sure this was in reference to transaction fees...
>women tended to be underrepresented in western medical literature.

Is there some evidence of this? It's hard for me to picture that women see receive less medical attention than man: completely inconsistent with my culture and every doctor's office I've ever been to. It's more believable (still not very) that they disproportionately avoid studies.
> It's like saying [...]

"Proof by analogy is fraud" - Bjarne Stroustrup
Cool, but you can get brightness enhancement film for very cheap in AliExpress: https://www.aliexpress.com/i/2255799825024246.html

The brightness enhancement film is a transparent optical film. It consists of a three-layer structure. The bottom layer of the light-incident surface needs to provide a certain degree of haze by back coating, the middle layer is a transparent PET substrate layer, and the upper layer of light-emitting cotton. It is a microprism structure. When the microprism layer passes through the fine prism structure of the surface layer, the light intensity distribution is controlled by refraction, total reflection, light accumulation, etc., and the light scattered by the light source is concentrated toward the front side, and the unused light outside the viewing angle passes through the light.

So, it's similar to your design, but the grooves are very small.
Here’s when we can start getting excited about LLMs: when they start making new and valid scientific discoveries that can radically change our world.

When an AI can say “Here’s how you make better, smaller, more powerful batteries, follow these plans”, then we will have a reason to worship AI.

When AI can bring us wonders like room temperature semiconductors, fast interstellar travel, anti-gravity tech, solutions to world hunger and energy consumption, then it will have fulfilled the promise of what AI could do for humanity.

Until then, LLMs are just fancy search and natural language processors. Puppets with strings. It’s about as impressive as Google was when it first came out.
Just install a proper keyboard layout with proper typography support once.

It is maddening that the whole world uses typewriter keyboards with some facelift in the era of Unicode and even blasphemous full color emoji font rendering. What has changed in decades? Windows logo key, power keys, media keys, IE and Outlook logo keys — all Microsoft's fancies.

So initially IBM made some ad hoc decisions on what keys would be suitable for a single user office computer (as opposed to data input and admin terminals they had). Then everyone copied that, because sending unexpected scan codes could lead to bad things (random BIOS and program code couldn't care less about your ideas of forward compatibility). Then Windows became the “basic system” installed on most computers. Microsoft really pushed forward the internationalisation at the time, making a lot of national layouts and code pages (sometimes contradicting the national standards, for better or for worse). Then everyone copied what they decided. What's more important, even single byte code pages had the basic typographic symbols, anyone could've been using them for three decades, but they were not added to most physical keyboard layouts.

I wonder if that was because they wanted Word to seem more sophisticated than it was, and to make people think it was a requirement for “proper documents”, or because programmers still treated all non-ASCII symbols as free data markup constants that would “never appear in a regular text”.
Is Bertrand still kickin? Can Apple poach him for a few years to clean house? I miss the days when he was running the software division at Apple.
That's still shift work. It's still the company assuming that I'll be available during N specific hours of the workday in order to fix issues.

Look at it this way:

If I work a job where I'm expected to be on 9-5, 46 weeks per year, 40 hours each week, that amounts to 1840 hours of scheduling my life around my employer.

If I work a job where I can schedule my work however I like and also have on call 1 week out of every quarter, the worst case scenario there is 672 hours of scheduling my life around my employer (and in practice the demands of on call in my current rotation are far less than that). The rest of my life I can schedule as I please, so long as I do my job.

I would rather take the option that minimizes the number of hours where my employer gets to tell me where to be.
exactly THIS. we 100% encourage using anything and everything for the interview but are structuring them now such that AI could help but you gotta still now what you are doing. my colleague best described this as “open book, open notes” exams at the Uni - those were always the hardest :)
I prefer the dedicated minus (U+2212) over the hyphen-minus (U+002d) for mathematical use because they look different in most font faces.

Are there cases where the dedicated hyphen (U+2010) is preferred over the hyphen-minus?
iOS has this problem as well. You search for a setting in the Settings app. It’ll say “doesn’t exist” (or whatever) while it’s looking for something extremely obvious (like “software update”) instead of just showing a processing icon.

Then when it does show the results, they’re usually in some terribly unhelpful order. It took me ages to try and go through the CUJ of “this app isn’t sending me notifications because I turned them off now I want them back on”
I think there is a big problem of expectations. People are told that it is great for software development, so they try to use it on big existing software projects, and it sucks.

Usually that's because of context: LLMs are not very good at understanding a very large amount of context, but if you don't give LLMs enough context, they can't magically figure it out on their own. This relegates AI to only really being useful for pretty self-contained examples where the amount of code is small, and you can provide all the context it needs to do its job in a relatively small amount of text (few thousand words or lines of code at most).

That's why I think LLMs are only useful right now in real-world software development for things like one-off functions, new prototypes, writing small scripts, or automating lots of manual changes you have to do. For example, I love using o3-mini-high to take existing tests that I have and modifying them to make a new test case. Often this involves lots of tiny changes that are annoying to write, and o3-mini-high can make those changes pretty reliably. You just give it a TODO list of changes, and it goes ahead and does it. But I'm not asking these models how to implement a new feature in our codebase.

I think this is why a lot of software developers have a bad view of AI. It's just not very good at the core software development work right now, but it's good enough at prototypes to make people freak out about how software development is going to be replaced.

That's not to mention that often when people first try to use LLMs for coding, they don't give the LLMs enough context or instructions to do well. Sometimes I will spend 2-3 minutes writing a prompt, but I often see other people putting the bare minimum effort into it, and then being surprised when it doesn't work very well.
I've noticed this blind spot — people pay more attention to a good answer than a good question — in forums. Specifically forums with post-level voting like reddit/twitter/hn. There are many cases where a downvoted question has an excellent answer in response, sometimes the best post in the whole thread. I think people perceive the questioner as annoying, obnoxious, petulant, or some such and the answer as "correcting" their foolishness. The key is recognizing that, while the answerer had to follow through, they got the perfect layup by the questioner.

I realized this a while ago so I just invert the bias: If every excellent answer was set up by a good question, I take the question to be good by definition if the answer is good, even if the question seems mediocre from my perspective. The question has to have some kind of inner spark that makes the answer possible or fuel that makes the answer brighter, something in it that enabled the answer to shine, whether I happen to see it or not. Practically this means that whenever an answer post is good enough to upvote, I seek out the parent question post for consideration and evaluate it generously.
And not just in theory: https://www.newsweek.com/pride-flag-burned-california-school...
Show HN: Rabbit – AI That Uses the Browser to Do the Tasks You Hate
Just so you know, none of what you said sounds easy and I'm a fairly technical person that uses Cursor and other AI tools all day.
I definitely think you can get pretty far building speaking and listening skills in Japanese without kanji.

However, learning hiragana is, I think, absolutely necessary. Why? They are the building blocks of how Japanese actually sounds.

I have met hundreds of non-Japanese people who have spent time living in Japan and trying to learn the language.

Many can barely read kanji, but are fine with everyday listening/speaking.

But those who refused to learn hiragana? Their pronunciation is terribly difficult to understand, and their listening skills suffer, too.

My takeaway: learn Hiragana first.
There was quite an interesting article "Seasonal energy storage in aluminium for 100% solar heat and electricity supply" https://news.ycombinator.com/item?id=26463249

I'm not sure how that got on - it was from 2021 - but something like that could be interesting. The stored product is aluminium metal and gets oxidised to hydrogen and aluminium hydroxide producing heat which can be used for heating and hydrogen that can be used in fuel cells or industrial processes.
Most Mac admins might disagree.

I had to hear those goddamn songs so many times, often all at the same time.

I'm weird though, and never stopped liking it.

Doo-do-doo-doo-do...
If you want a jankier but cheaper version, here's a (much less nice) version for about $50: https://worstplans.com/2021/05/10/led-artificial-skylight-fo...

It uses a trash can plus a super-bright LED bulb plus a plastic book magnifier.

The main trick is that you can get a big magazine-sized flat plastic fresnel lens for like 10 bucks.

The original poster's solution is definitely better, but it's also possible to do this on the cheap with no 3D printing (or in fact, any skills whatsoever).
Like how the ones with the most access to medicine are mice, because they're convenient to experiment on.
Wow, I feel like I almost could have written this except I prefer Plasma/KDE to GNOME. I use Linux + Mac laptops somewhat interchangeably since 2012, and have also seen the marked decline in quality. In fact, it seems like Linux has gotten better at almost the same pace (or maybe a bit faster) than macOS has gotten worse.

The things that most frustrate me about Macs is that they've violated the never spoken but always expected "it just works" in so many ways. Things like how Thunderbolt Displays containing a USB hub which are Apple-certified handle re-connection to a Macbook, should "just work", but require fiddling every time. That's just one of numerous examples I could come up with.

Apple historically was probably the best company in the world in understanding the full depth of what "User Experience" means, and it seems like they've really retreated from this position and are regressing to the mean.
If it had access to my books, a current-gen frontier LLM most certainly could do my taxes. I don't understand that entire line of reasoning.
I'd like to have the record show that I've been using them since before LLMs :)

Not sure when I started; my guess is that I got into the habit of using them in LaTeX when writing my thesis, and then at some point realized that they are easily reachable on standard macOS keyboard layouts (via "option" + "-").
But why does, as you explain "training goes brrr"?

Francis Bach, the author, makes a good faith effort to explain exactly why this material is beneficial (see https://francisbach.com/my-book-is-out/):

"Why yet another book on learning theory? ...the main reason is that I felt that the current trend in the mathematical analysis of machine learning was leading to overly complicated arguments and results that are often not relevant to practitioners. Therefore, my aim was to propose the simplest formulations that can be derived from first principles, trying to remain rigorous without overwhelming readers with more powerful results that require too much mathematical sophistication."

From my own reading and experience on the mathematical analysis approach of this "training goes brrr" approach, I thought the material in Chapter 12, Overparameterized Models, was interesting and coherent with 12.2.4 Linear Regression with Gaussian Projections being an especially elegant explanation. It would be interesting to hear if you had read/skimmed/purused this section and found it wanting etc.
I tried graveyards and swing shifts in my twenties. I only did it for a year, but it wrecked my sleep schedule for years afterward; I struggled with insomnia because of it. Not sure there is any age where this works.

Some people can handle it better than others. I'll never do it again though.
They only have 43,000 members (stat from the same page), so that's 20 queries a day per member, which doesn't seem that crazy.
> The DOGE point of view says if the government can’t do anything, we should just get rid of the government

I have a hard time wrapping my head around this statement. If a department in a company does not work, we don't get rid of the department? If a company does not work, this company does not go out of business? If a church does not help its community, people will still go there on Sundays? If a school does not teach effectively, will parents still send their kids there if they have a choice? Then why is it suddenly different when it comes to government.

Now before some of you scream far-right, I do want to note that classical liberalism does advocate for constraints on government authority, and are open to replacement and reform if an institution demonstrably fails.
they don't come with any inbuilt sense of when they might be getting things wrong

Spend some time with current reasoning models. Your experience is obsolete if you still hold this belief.
Which headset?
The goal wasn't to stump the LLM, but to see if it could take a completely novel linguistic token (habogink), understand its defined relationship to other concepts (reverse of primary function), and apply that abstract rule correctly to a specific instance (hammer).

The fact that it did this successfully, even if 'easily', suggests it's doing more than just predicting the statistically most likely next token based on prior sequences of 'hammer'. It had to process the definition and perform a conceptual mapping.
>> Language models like Claude aren't programmed directly by humans—instead, they‘re trained on large amounts of data.

Gee, I wonder where this data comes from.

Let's think about this step by step.

So, what do we know? Language models like Claud are not programmed directly.

Wait, does that mean they are programmed indirectly?

If so, by whom?

Aha, I got it. They are not programmed, directly or indirectly. They are trained on large amounts of data.

But that is the question, right? Where does all that data come from?

Hm, let me think about it.

Oh hang on I got it!

Language models are trained on data.

But they are language models so the data is language.

Aha! And who generates language?

Humans! Humans generate language!

I got it! Language models are trained on language data generated by humans!

Wait, does that mean that language models like Claud are indirectly programmed by humans?

That's it! Language models like Claude aren't programmed directly by humans because they are indirectly programmed by humans when they are trained on large amounts of language data generated by humans!
Interesting that NPR tries to brand the funding as if its for addiction and mental health care all throughout the article.

For comparison, here's what CNN says:

"These funds were largely used for Covid-19 testing, Covid-19 vaccination and Covid-19 global projects, according to HHS, including for community health workers focused on populations most at risk from Covid-19."

And here's what the Trump administration says:

"The COVID-19 pandemic is over, and HHS will no longer waste billions of taxpayer dollars responding to a non-existent pandemic that Americans moved on from years ago"
If you can find it, Cabot Seriously Sharp popcorn is way better. Unfortunately it's pretty expensive compared to Smartfood
yes they do mate - yes they do… :)
Using uv and PEP 723 for Self-Contained Python Scripts
I was replying specifically to a post that equated the far right with anti-gay views. Ask them.
It's completely psychological for me (as in, not a medical mystery). I have a strong, deep-seated association between loud eating and inconsiderateness, because it's often unnecessary (ostensibly). Grossness is part of it, but that's secondary - more of a multiplier rather than being the core problem. It's about the perceived unnecessary-ness: Chewing with your mouth open, biting the spoon, vocalizing, slurping, talking with your mouth full. However, there are other reasons for these things: Cultural, physiological. One often probably doesn't even notice one is doing it. Also, if it doesn't bother you, you may not even be aware that it bothers somebody else (or have trouble sympathizing).

The trouble is willing myself into accepting these reasons. The thought "Why are you doing that. Don't you notice?" is nigh unavoidable. It takes conscious effort to not show signs of irritation externally. Sometimes I simply have to politely remove myself.
Bizarre creature preserved in 99 million-year-old amber was ‘beyond imagination'
What you want is at odds with energy efficiency and is therefore being made illegal https://blog.medcram.com/uncategorized/new-department-of-ene...
Is it comparable to gaming on Windows? Last time I tried the performance wasn't as good for some games (Deadlock) and it took ages to compile shader (it takes 30 seconds on Windows with the same specs)
> Meanwhile the average on-call engineer at a large company has none of these freedoms. The underlying systems are chosen for them and they just have to deal with it.

In most cases they have all of those freedoms, and the only barrier is one that's shared with the self-employed person: not liking the consequences of choosing those options.

They could negotiate with their manager to lessen the load. They could upgrade the systems. They could straight-up refuse on call.

They don't because they don't like the consequences of taking these options—and neither does the self-employed person!
I think it will go in the opposite direction. Very massive closed-weight models that are truly miraculous and magical. But that would be sad because of all the prompt pre-processing that will prevent you from doing much of what you'd really want to do with such an intelligent machine.

I expect it to eventually be a duopoly like android and iOS. At world scale, it might divide us in a way that politics and nationalities never did. Humans will fall into one of two AI tribes.
> They just need to stay a bit ahead of the open source releases, which is basically the status quo

No, OpenAI alone additionally need approximately $5B of additional cash each and every year.

I think Claude is useful. But if they charged enough money to be cashflow positive, it's not obvious enough people would think so. Let alone enough money to generate returns to their investors.