Amorymeltzer

>Not because any single task is harder. Because there are so many more of them, all at once.

There's a nuance here since the author says "Almost all of this is private work," but this is basically the entire premise of Cory Doctorow's excellent The Reverse Centaur's Guide To Life After AI, which everyone should read. If I may quote:

>>In automation theory (the academic study of automation), a centaur is a person who is assisted by a machine. Think of a clever human's head, arms, and hands atop a horse's strong body. Riding a bicycle or driving a car makes you a centaur; so does using the mute button on your TV remote when an ad comes on. Wearing a hearing aid makes you a centaur, and so does using a calculator to multiply large numbers. Being a centaur can be glorious.... Best of all, I get to choose exactly which of these features I use.... No one expects me to write more pages when I get a new tool.

[snip]

>>A reverse centaur is a human who is conscripted into acting as an assistant to a machine. There's a classic I Love Lucy episode where Lucy and Ethel are working on an assembly line at a chocolate factory, taking bonbons off the belt and wrapping them in paper. As the belt goes taster and faster, Lucy and Ethel have to work at superhuman speed. They're reverse centaurs: the machine can move the chocolates from one place to another, but it needs a human to pack them into the box, and the humans who act as its assistant are made to work at a pace that exceeds all human capacity until calamity ensues.

"More tasks all at once" is exactly the premise of that I Love Lucy episode.

Hard isn’t inherently complicated and simple isn’t inherently easy. A commitment to those ideals is wildly complicated. To pick a child-rearing-relevant example, saying sorry and taking responsibility is simple and easy, but such a difficult thing to achieve, even for adults, and is rife with complicated and complicating emotions and relationships.

Who said don’t have any skills? There are different ways to make the world better, and certainly each takes a different set of skills. If your way of helping the world is advancing biomedical research, you will need those skills. It’s downstream of the top-level prerogative, if you wanna put it that way.

>become a good person

>become a good citizen

>make the world better

That's basically the whole game right there. Or as Hillel might say, the rest is commentary.

I'm reminded of a section of Cory Doctorow's latest non-fiction, The Reverse Centaur's Guide To Life After AI (it is of course an excellent read), where he discusses how the semantic web and having an internet set-up for agents and AI to use won't work:

>It also hasn't happened because there is a reward for cheating. Scammers will label their phone numbers as the customer service number for your cable operator or bank. Counterfeiters will label their batteries or phone cases as official accessories. It's hard enough to get people to correctly label their stuff—but fact-checking billions of labels created by millions of people, none of whom you know personally or whose identities you can verify? That's insurmountable.

There's more he says—the preceding paragraph is below—but that line "there is a reward for cheating" is something I keep thinking about. It's hard not to see in so many of the discussions of LLMs.

>For one thing, there are irreconcilable differences in the ways in which things should be described. A site run by transphobes isn't going to label every story about a trans woman as "a story about a woman," irrespective of what the standard says. Microsoft is never going to label Excel as equivalent to Apple's Numbers, Google Sheets, and LibreOffice's Calc. Hermès is never going to list a $40,000 handbag as being made of the same material and having the same capacity as a $30 leather handbag of the same size and shape.

A few notable previous discussions:

- 2023, 33 comments: <https://news.ycombinator.com/item?id=37368505>

- 2021, 173 comments: <https://news.ycombinator.com/item?id=29734242>

Indeed. And, weirdly, there are items that show up by that 03 standard alongside macOS 26 (e.g. "HP-UX 11i V3 Release B.11.31") that also show on the front page. Is it a latest version kind of thing?

Absolutely!

I've got a large, local library in Apple Music—the application, not the service, they need a naming czar—amassed over decades of purchases. The auto-lookup from iTunes/Music is fine, but I find a real joy in having correct metadata. All those mix CDs from high school!

I care less about high-quality album art than Apple execs do, I think, and I likewise don't bother too much with all the meta tags, but it's surprising how often the CDDB or Gracenotes or whatever Music.app uses are wrong, have typos, miss information, etc. I scrobble listens, so it's a natural progression for anything new or clearly wrong.

I think of it like tending a garden, and find it quite peaceful. It's clearly not for Regular People™ like so much else here. Every other person in my life is happy with "Unknown Artist - Unknown Album - Track 2" or just using a streaming service.

Automatic by HN? Don't think I've seen that one before

Libraries! They often have digital access to various services—e.g. Kanopy—but also often have lots of physical media sources! It involves a little more planning and a little less algorithm, and there are shows and movies that won't ever be available—e.g. things from Netflix, Apple—but there's enough out there already.

They briefly (hah) covered it in TFA:

>Researchers have used cotton strips and specialty tea bags for similar purposes before, but those methods require precise scales and careful handling. A pair of underwear, by contrast, offers something immediate: anyone can look at what came out of the ground and grasp what it means.

The linked manuscript basically says the same:

>Cotton strips have previously been applied (Harrison et al., 1988; Nachimuthu et al., 2007), while the Tea Bag Index (TBI) makes use of commercially available teabags with standardized composition for the same purpose (Keuskamp et al., 2013). Due to the wide availability of the material, the TBI has been employed in a citizen science approach to gather global decomposition data (Sarneel et al., 2024). However, despite being relatively easy to apply and interpret, the method requires careful handling and specific tools, such as a fine scale balance. Moreover, it lacks visual appeal and may struggle to attract broader public attention for soil-related topics. A more playful approach that has occasionally been used to illustrate soil decomposition, though without scientific rigor, is the burial of cotton underpants (Figure 1).

It looks like establishing cotton underwear as a viable method was exactly the point of this study. As they say, "This work demonstrates that underwear decomposition varied widely across land-use types and that buried underwear is a simple and easily interpretable tool to gain a first impression of soil health."

YMMV. I ran Snow Leopard on a couple of machines for years—bought it off CraigsList for $10, handed off in Times Square—and it was far and away the best OSX experience I had, and, at least in my experience, the best/smoothest/most stable until El Capitan, 10.11. And yes, maybe I'm thinking of 10.6.8, but I don't see why that's a problem.

The myth part, is of course, a myth, and good marketing. Snow Leopard was super important for the OS, changing a ton: <https://en.wikipedia.org/wiki/Mac_OS_X_Snow_Leopard#New_or_c...>. Marketing gonna market.

Regardless, I can agree with this:

>People invoke its memory because they’re broadly craving stability and quality of life improvements, something almost everyone has wilfully discarded as they chase the next rung of enshittification.

Not the creator, but I suspect your first block is was in the third row, with a sun on either extreme end: the spots just inside (2nd and 5th) must then be moons, as were one a sun, there would then be three moons in a row. The rest follows from there.

iOS-only, but Callsheet (<https://callsheetapp.com>) is basically "What if the IMDB app didn't suck?" It uses TMDB as the data source. I love the interface, and it has JustWatch info built-in; I use it as my quick access link, so I now only use it to find where things are.

Excellent! That's been on my TBR list for a while. There's a bit about PIE in Lost Worlds, mostly as supporting evidence for movements and connections between ancient (pardon the pun) lost worlds.

Patrick Wyman—of the Tides of History podcast—just put out a new book, Lost Worlds, which is worth a read if this is your bag. The basic premise is that the way ancient history is typically taught, "that we moved linearly from foraging to farming, and then from country farmers to city-dwelling, tax-paying subjects of kings and emperors," is essentially wrong. He goes on:

>All of those developments occurred in an orderly sequence: First farming and village life arrived; then surpluses born of human achievement that created social inequality; then hierarchies with priests and chieftains at the top; then massive monuments, cities, states, and writing to keep track of it all. Geographically, the old story of those developments centered on the Fertile Crescent of western Asia, and to a lesser extent the Nile Valley of Egypt....

>That story is wrong in some respects and incomplete in far more.

It's a constant rise and fall, with innovations and cities/civilizations that both did and didn't succeed often equally valid and appropriate paths to take. Sounds kind of bog-standard, I guess, but it's rife with examples of "Oh yeah here's a 1,500 year-old city, but it was 7,000 years ago and then disappeared so you've never heard of it."

>Slartibartfast: I'd far rather be happy than right any day.

>Arthur: And are you?

>Slartibartfast: No. That's where it all falls down of course.

>Arthur: Pity. It sounded like rather a good lifestyle otherwise.

Adulthood, career, marriage, parenthood, nearly everything since I first read The Hitchhiker's Guide to the Galaxy as a (pre?)teen has been slowly, stubbornly learning that this exchange is basically the key to everything.

That's specifically the secondary, more-powerful model. It was only mentioned in passing in the keynote, but on this page anyway, it seems to be just the improved dictation in Siri and ability to customize pacing, etc.