MurphyA/hacker-news huggingface dataset:
by ModernMech | 2025-11-08 15:48:26+00:00
Of course not but explain how I am ever going to pay OpenAI, a for-profit company any dollars? Sam Altman gets explosive angry when he's asked about how he's going to collect revenue, and that is why. He knows when push comes to shove, his product isn't worth to people what it costs him to operate it. It's Homejoy at trillion dollar scale, the man has learned nothing. He can't make money off this thing which is why he's trying to get the government to back it. First through some crazy "Universal Basic Compute" scheme, now I guess through cosigning loans? I dunno, I just don't buy that this thing has any legs as a viable business.
by jhpacker | 2025-11-08 15:49:23+00:00
GSC does filter and threshold what shows, but that doesn't always work 100%. Also those filters are built to work against traditional keyword searches, not prompts. It's also supposed to threshold low volume queries which should have kept a lot of things prompts out of GSC, but for whatever reason that wasn't very effective.

I've worked in many GSC consoles over the years, and I've never seen anything like what I saw in this case. (I'm the original author)
by dmannorreys | 2025-11-08 15:49:24+00:00
> Maybe that’s a good thing?

Definitely, I'd love for that here in the EU as well. With it being pitch black half of the year here in Sweden I'm constantly blinded by LED low beams to the point that high traffic country roads are becoming very difficult.

However, LED matrix / dynamic high beams is also a godsend. On a country road, you can keep your high beams on and they will disable the pixels that would blind the other drivers, but still light up the side of the road where deers and moose appear.

Maybe one day we can have both
by adrian_b | 2025-11-08 15:49:59+00:00
They dropped them only much later, in Coldfire, not in 68030, which was completely compatible with 68020. MC68040 dropped some features, then MC68060 dropped more features, but for user programs they remained binary compatible with MC68020.

They have probably realized quickly that adding memory indirect addressing modes was a mistake, but they could not drop them because that would have broken all programs ported to MC68020.

With Coldfire, they were able to prune the unwanted addressing modes, because Coldfire was intended for embedded computers, where the software is recompiled for every new project and binary compatibility with legacy programs is not necessary.

Both the addressing modes of Intel 80386 (1985) and of Motorola MC68020 (1984) were inspired by the addressing modes of DEC VAX, but in a very rare event in the history of Intel processors the Intel designers have done the right thing by choosing the useful subset of the DEC VAX addressing modes, while the Motorola designers have made a mistake by choosing to implement an even more complex set of addressing modes than that of DEC VAX.
by silexia | 2025-11-08 15:50:01+00:00
Discrimination against men is at epic proportions and is justified by falsified studies showing a wage gap that does not exist.

The American government is picking winners at very high rates. If you are a native American, here's money and jobs and special rights. If you're a black woman, here is a paid for down payment and mortgage, highly paid jobs, etc.

We need to shrink the government dramatically to get back our individual rights and freedoms. Or young men will continue to opt out of the unfair game.
by tinyhouse | 2025-11-08 15:50:08+00:00
Everyone uses AI today for pretty much everything but we're in a bubble... Yeah sure. Big tech with all time revenue and profits, with growing demand for compute quarter after quarter, but we're in a bubble ... Yeah sure.

OpenAI loses billions, that's true. That doesn't mean we're in a bubble. They also make billions. If their losses continue, they will keep losing more and more control. Microsoft already owns 30% of OpenAI. Big tech companies have too much cash on their hands and they cannot acquire their competitors, so instead they invest money in them. Either way, it's called consolidation.
by bee_rider | 2025-11-08 15:50:41+00:00
> "For example, if a benchmark reuses questions from a calculator-free exam such as AIME," the study says, "numbers in each problem will have been chosen to facilitate basic arithmetic. Testing only on these problems would not predict performance on larger numbers, where LLMs struggle."

When models figure out how to exploit an effect that every clever college student does, that should count as a win. That’s a much more human-like reasoning ability, than the ability to multiply large numbers or whatever (computers were already good at that, to the point that it has become a useless skill for humans to have). The point of these LLMs is to do things that computers were bad at.
by Moto7451 | 2025-11-08 15:50:41+00:00
As an aside that absolutely is not intended to detract from your point, Sweetgreen has always had some sort of “This is what we do but also make salads because money.” Like when they were a lifestyle brand with annual concerts. The first time I went into a Sweetgreen I was very confused by the 10 foot tall poster of Kendrick Lamar performing and promotion for that year’s convention and concert.

Could you imagine being offered a ticket to Arbyfest or Jambacon?

Like you said, please just make a good salad.

I got Google’s DPA update email included a number of Uber’s Model training side gigs and analytic products. I’m guessing this all came out of the Self Driving car project, but it’s another - albeit less goofy - data point of “We’re and AI Company but we do X for money.”

I feel like I see a few of these every month.

A few years ago Foresquare realized their business model was less profitable than that of the data aggregator they used so they bought the aggregator and basically became that company given the other hooks they have. I sort of wonder if that’s what is running through some of these companies’ C suite meetings.
by lapcat | 2025-11-08 15:51:04+00:00
What apocalypse, exactly? The stock market has eventually recovered from every "crash." Occasionally a big company crashes and never recovers, e.g., Lehman Brothers, but I wouldn't expect that to happen to Amazon, Meta, Microsoft, or Oracle.

I didn't say that stock price is totally irrelevant, but if you're investing for the long term, short-term fluctuations mostly shouldn't change your strategy.

In any case, the headline is inaccurate. Unsold stock losing market value is not the same as stock sold off.
by hakfoo | 2025-11-08 15:51:10+00:00
I suppose there's an X-factor in wrestling in the live physicality of it. There could be planned story events that can't be delivered due to injury or physical error. If a wrestler breaks a leg or seriously dislocates something mid-performance, it's going to be difficult to justify slapping a belt around them at the end.

With "One Life To Live", that sort of surprise is less likely, and they can reshoot it if necessary.
by octachron | 2025-11-08 15:51:17+00:00
Nearly the same as with positional argument: Partially applying a function to a named argument creates a closure with this argument filled in, and you can apply the argument in whichever order you want:

let f a ~x ~y b = a + x + y + b let g = f ~y:1 (* g is closure with the argument named ~y filled in *) let h = g 2 (* another closure with the first positional argument filled in *) let int_15 = h 8 ~x:4 (* = g 2 8 ~y:4 = f ~y:1 2 8 ~x:4 *)

The more complex interaction is rather with type inference and currying, or the interaction between currying and optional arguments.
by Terretta | 2025-11-08 15:52:14+00:00
It's worse, it's just "let's list some features where we think Maria DB wins, and say why they matter, while pretending to recognize both by saying 'they're both good though'" totally ignoring why Postgres, not MariaDB, eats Oracle's lunch.

// If you don't need Oracle, or Microsoft SQL, or Postgres, Maria DB is great. (See how that works?)
by eldaisfish | 2025-11-08 15:52:48+00:00
all true, but in the vast majority of electricity markets, inertia is not priced.

what does drive the price of electricity is fuel cost, not grid stability.

Solar inverters do not have physical inertia but they can have fast frequency response via capacitors. Many wind turbines have this feature and at scale, it is a decent replacement for electromagnetic inertia.
by ToValueFunfetti | 2025-11-08 15:52:58+00:00
Electricity doesn't remove the need for human labor, it just increases productivity. If we produced AGI that could match top humans across all fields, it would mean no more jobs (knowledge jobs at least; physical labor elimination depends on robotics). That would make the university model obsolete- training researchers would be a waste of money, and the well-paid positions that require a degree and thus justify tuition would vanish. The economy would have to change fundamentally or else people would have to starve en masse.

If we produced ASI, things would become truly unpredictable. There are some obvious things that are on the table- fusion, synthetic meat, actual VR, immortality, ending hunger, global warming, or war, etc. We probably get these if they can be gotten. And then it's into unknown unknowns.

Perfectly reasonable to believe ASI is impossible or that LLMs don't lead to AGI, but there is not much room to question how impactful these would be.
by gadrev | 2025-11-08 15:53:19+00:00
Just like sibling here, hard disagree.

I don't like all toggles to be gone since dark mode quality varies a lot, and also I may want some sites or apps one way and some another way. So removing the choice and slapping all configuration under a single "dark/light" browser toggle really annoys me, especially when sites stop providing the toggles because it's more convenient to just use the CSS property and do less. To me it's another step in the dumbing down of the UIs that I regret.

Perfectly ok with defaulting to that global setting though.

Similar vibes to the relative date infection with no option to opt out and get the full date in most sites nowadays.
by dlcarrier | 2025-11-08 15:53:31+00:00
Great for when you're installing Linux from source.

I hope I'm never working on a project where -j32 on a 5900XT is noticeably faster than than -j16 on a 5700X3D.

Then again, -j1 is nice, when you need to time a break. (https://xkcd.com/303/)
by walterbell | 2025-11-08 15:55:45+00:00
Thanks for the pointer (and first HN comment!) on shadow QE.

July 2024, https://x.com/stealthqe4/status/1818782094316712148

> We’ve all been wondering where all of this liquidity is coming from in the markets. Stealth QE was being done somehow. Now we have the answer! It’s all in the Treasury increased t-bill issuance. QE has now been replaced by ATI.

https://hn.algolia.com/?query=%22shadow%20qe%22&type=all
by dredmorbius | 2025-11-08 15:56:04+00:00
We've lived in a geopolitical world since Britain converted its navy from coal to oil prior to WWI, making itself dependent on Middle East oil (the UK didn't realise its North Sea reserves until the 1960s, they weren't developed until the 1970s/80s, contributing hugely to the Thatcher boom). Choke-points of oil exporters (particularly Iran, OPEC), pipelines (TAPLINE), canals (Suez, Panama, etc.), straits (Hormouz, Malacca, etc.) have all been at the centre of global geopolitics for well over a century.

Solar changes the who and where, but really not the what significantly. Solar is far more distributed and less concentrated, and options for distribution are potentially more diverse (cables, direct power beaming, synfuel production and distribution) in ways that an oil-based economy hasn't been.

Even within national borders, power production and distribution are sufficiently centralised and choke-pointed that they are vulnerable to significant disruption, even by non-targeted accidents and natural disasters. Major national and regional power outages are not especially frequent, but neither are they unfamiliar: <https://en.wikipedia.org/wiki/List_of_major_power_outages>.

During periods of conflict, national and irregular forces routinely target power infrastructure, with significant but rarely absolutely crippling effect. For the past three-and-some years, two major eastern-European adversaries have been directly targeting one anothers' energy infrastructure. Though the results are costly, neither has been bombed back to the stone age, or even the pre-electrical era:

"Resilience Under Fire: How Ukraine’s Energy Sector is Adapting – and What It Means for Europe"

<https://rasmussenglobal.com/wp-content/uploads/2025/06/REPOR...> (PDF)
by bigyabai | 2025-11-08 15:56:47+00:00
Not really. 15 years ago it was "you're holding it wrong" and 50 years ago it was Steve Jobs swindling Woz to close Atari contracts.

"Apple used to mean something" is a postmodern catechism to make you feel better when Apple reveals themselves as a federally-backdoored shoggoth.
by layer8 | 2025-11-08 15:56:47+00:00
I don’t think the fact that LLMs can handle small numbers more reliably has anything to do with their reasoning ability. To the contrary, reasoning ability should enable them to handle numbers of arbitrary size, just as it enables humans to do so, given some pencil and paper.

However:

> Testing only on these problems would not predict performance on larger numbers, where LLMs struggle.

Since performance on large numbers is not what these exams are intended to test for, I don’t see this as a counterargument, unless the benchmarks are misrepresenting what is being tested for.
by acdha | 2025-11-08 15:57:01+00:00
At this point I am struggling to maintain the assumption of good faith. As I’ve said throughout, slavery is bad. That doesn’t change the fact that cheap solar panels are good and will save millions of lives. I have never said that the latter justifies the former, that’s something you invented.

I would suggest a more nuanced understanding that not everything fits into a binary good/bad mentality, especially when talking about decisions made by many people. Even individuals often have decidedly varied track records - Watson is in the news this week, and while his later racism and sexism don’t cancel out his scientific career, you have to know about both to understand how flawed people can still make large accomplishments (repeat for Shockley or Millikan, etc.). Recognizing the conflict helps you understand the whole situation, without detracting from your ability to say certain parts of the story are unambiguously bad.
by almostgotcaught | 2025-11-08 15:57:03+00:00
> There are multiple TPU vendors

There are not - TPU is literally a Google trademark:

> Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google.

https://en.wikipedia.org/wiki/Tensor_Processing_Unit

The rest of what you're talking about is irrelevant
by Aurornis | 2025-11-08 15:57:31+00:00
> so, to test, one of us took a heavily PBO'd 9700X and changed /proc/cpuinfo to be a "9700X3D" and ran a Passmark run to see if the software would be fooled...

The two articles I saw about this both emphasized that the high clock speed (from the PBO) was inconsistent with the name of the CPU that implied it would be lower performance than the 9800X3D.

Most of the sites I check regularly have been pretty good about calling out inconsistent leaks or rumors, contrary to the “all journalism is trash” comments down below. On the other hand, if you were following someone who presented this singular benchmark result as proof of something without looking at the details, it might be a good time to reconsider the quality of your sources. I did see some lazy Twitter personalities parroting the result without any actual thought.
by thesz | 2025-11-08 15:57:50+00:00
I took a look at the Taelin's work [1].

[1] https://github.com/HigherOrderCO/HVM

From my understanding, main problem there is a compilation into (optimal) CUDA code and CUDA runtime, not language or internal representation per se. CUDA is hard to debug, some help can be warranted.

BTW, this HVM thing smells strange. The PAPER does not provide any description of experiments where linear parallel speedups were achieved. What were these 16K cores? What were these tasks?
by 13415 | 2025-11-08 15:58:36+00:00
I'm building an application that allows you to send a file to your colleagues. That's hardly a revolutionary or unusual use case, and it definitely requires network access and full access to the local file system. I also need the ability to lock files, writing file locks anywhere on the system, and I need to be able to index the contents of files.

Not only are all of these functions and corresponding permissions completely standard for all kinds of applications, they belong to the core of what any system that calls itself an "operating system" should deliver to developers and end users.
by fleventynine | 2025-11-08 15:58:43+00:00
Rustc does a good job of removing unused code, especially with LTO. The trick is to make sure the std library main/panic/backtrace logic doesn't call code you don't want to pay for.

IIRC there's also a mutex somewhere in there used to workaround some threading issues in libc, which brings in a bespoke mutex implementation; I can't remember whether that mutex can be easily disabled, but I think there's a way to use the slower libc mutex implementation instead.

Also, std::fmt is notoriously bad for code size, due to all the dyn vtable shenanigans it does. Avoid using it if you can.

Regardless, the only way to fix many of the problems with std is rebuilding it with the annoying features compiled out. Cargo's build-std feature should make this easy to do in stable Rust soon (and it's available in nightly today).
by bena | 2025-11-08 15:59:03+00:00
Only moderately so.

The Jets are not favored to win many of their games. The expectation is that they lose.

There are multiple teams where mediocrity would be seen as an improvement.

However, people buy the jerseys, go to games, etc.

Things like the Combine and draft are becoming events on their own. The games are only there to provide the structure for why we should care about one group over another.

Sports are entertainment.
by skybrian | 2025-11-08 16:00:33+00:00
I didn’t flag it, but it looks like accounting nonsense. These advance commitments probably aren’t assets on the books and there is likely no debt between OpenAI and its vendors. So at most, it’s a stock market bubble.

If OpenAI doesn’t pay, its vendors have whatever data centers that they’ve built so far and can use them themselves or rent them to someone else.
by teslabox | 2025-11-08 16:01:08+00:00
My theory is the manufacturers' marketing departments went to the engineers and said "we can't sell cars with safe headlights anymore, please make the next model's headlights seem brighter than they actually are."

Blue-white headlights are actually much less functional for human vision than yellow/amber headlights, so the engineers had to use the regulatory loophole to exponentially increase the output of their marketing-imposed blue-white lights.
by al_borland | 2025-11-08 16:01:40+00:00
I got one at a tae kwon do tournament when I was in middle school. It was my first time entering something like that, I lost immediately and was not feeling great about it. I just wanted to leave. My dad made me go back to pick up a trophy from this giant table full of participation trophies. I didn’t want it. I don’t know what happened to it. I didn’t understand why anyone would want a memento of an embarrassing loss. Participation trophies are stupid, or for people who are too dumb to realized they lost and it’s a pity trophy. Picking up that trophy was worse than the actual loss, I remember being more upset about that dumb trophy than anything else.

This was back in the 90s.

In something like a foot race, I get it. Most people running a marathon aren’t trying to win, they are just trying to finish, or hit their personal targets. They can still have a “win” without coming in first. But in a sport where there is a clear winner and loser, I felt insulted getting a trophy just for showing up. At 11 or 12 I already felt too old to be treated like that.
by neilv | 2025-11-08 16:01:50+00:00
The article unleashes a burst of expert quotes:

> Experts note chief dealmaker Altman doesn’t have anything to lose. He has repeatedly claimed he does not have a stake in the company, and won’t have a stake even after OpenAI has restructured to become a public benefit corporation. “He has the upside, in a sense, in terms of influence, if it all succeeds,” said Ofer Eldar, a corporate governance professor at the UC Berkeley School of Law. “He's taking all this commitment knowing that he's not going to actually face any consequences because he doesn't have a financial stake.”

> That’s not good corporate governance, according to Jo-Ellen Pozner, a professor of management and entrepreneurship at Santa Clara University’s Leavey School of Business. “We allow leaders that we see as being super pioneering to behave idiosyncratically, and when things move in the opposite direction and somebody has to pay, it's unclear that they're the ones that are going to have to pay,” she said.

> Luria adds: “He can commit to as much as he wants. He can commit to a trillion dollars, ten trillion, a hundred trillion dollars. It doesn't matter. Either he uses it, he renegotiates it, or he walks away.” There are of course more indirect stakes for Altman, experts said, like the reputational blow he’d take if the deals fall apart. But on paper, he’d seemingly be off the hook, they said.

Is an intended takehome message of the article that Altman should invest his own money (with potential loss, or profit), or that he should be given a big compensation deal (maybe like the one Musk just got)?
by JoshTriplett | 2025-11-08 16:02:01+00:00
Fascinating. Different use cases for different people. On GitHub, I use the default dark mode ("dark default") and then enable "high contrast", which makes the background black. (I also get annoyed when light modes are dark grey on light grey, rather than black on white for maximum contrast.)

There's a CSS preference for contrast. It seems easy enough to handle `@media(prefers-contrast: low)` and set a gray background. The contentious part would presumably be the default; I would have thought #000000 was the obvious default for a dark mode but apparently that's not what everyone prefers. Ideally, OSes and browsers would expose controls for this in a straightforward way, the way they handle dark mode. https://developer.mozilla.org/en-US/docs/Web/CSS/Reference/A...
by irchans | 2025-11-08 16:02:50+00:00
Type "Polar plot 6 curves of the form r = (1 + Sin[2^(k - 1) t]/2^(k - 1)) where k =1, 2, .., 6 and t=0 to 2 Pi each curve should be a different color" into ChatGPT5.

https://chatgpt.com/share/690f675d-c340-8013-b598-41fe487b4e...

It has the nice properties that you can do any number of sets (in theory) and all the boundary intersections are either osculating or perpendicular.
by mystraline | 2025-11-08 16:02:56+00:00
Sure does. And it indicates that you're an easy mark.

I found when I went through school, and basically 'in person social network', with trolls, bullies, and the like, that a harsh and swift response is the opposite of victimhood.

Sure, I got kicked out for a few days. But I got a rep that if you bully me, you're going to get a black eye(s) and a broken nose. Now I didn't bully others, but I would defend myself and go all out on someone attacking me. I made sure every one of them regretted it.

Obviously, I dont use that physicality these days, as its unwarranted. But verbally, I will defend myself and "talk back". If you try to throw me under the bus, I'm taking you with me. But I dont throw others under.

Basically its the game theory of tit-for-tat. Works pretty well.
by marcyb5st | 2025-11-08 16:03:18+00:00
There's a limit to that according to: https://www.nature.com/articles/s41586-024-07566-y . Basically, if you use an LLM to augment a training dataset it will become "dumber" every subsequent generation and I am not sure how you can generate synthetic data for a language model without using a language model