MurphyA/hacker-news huggingface dataset:
by chasd00 | 2025-12-08 20:33:56+00:00
this isn't an investing site but Coreweave is what I watch. All those freaking datacenters have to get built, come online, and work for all the promises to come true. Coreweave is already in a bit of a picklye, I feel like they are the first domino.

/not an investing/finance/anything to do with money expert.
by p_l | 2025-12-08 20:34:40+00:00
Since on paper government cares about cost efficiency and you have to consider that in your lobbying materials.

Also it enables getting cheaper programmers who where possible might be isolated from the actual TS materiel to develop on the cheap so that the profit margin is bigger.

It gets worse outside of the flight side JSF software - or so it looks like from GAO reports. You don't turn around a culture of shittiness that fast, and I've seen earlier code in the same area (but not for JSF) by L-M... and well, it was among the worst code I've seen. Including failing even basic requirement of running on a specific version of a browser at minimum.
by bdavid21wnec | 2025-12-08 20:35:03+00:00
Again I’m not in the “AI” industry so I don’t fully understand the economics and don’t run open models locally.

What’s the cost to run this stuff locally, what type of hardware is required. When you say virtually nothing, do you mean that’s because you already have a 2k laptop or gpu?

Again I am only asking because I don’t know. Would these local models run OK on my 2016 Mac Pro intel or do I need to upgrade to the latest M4 chip with 32GB memory for it to work correctly?
by jellyotsiro | 2025-12-08 20:36:09+00:00
Serena is great for semantic code editing and symbol-level retrieval on your own codebase. It gives the agent IDE-like capabilities inside the repo. Nia focuses on a different layer. We target external context: remote code, docs, packages, APIs, research, enterprise knowledge, etc

w nia the agent can dynamically search, traverse, and validate information outside the local project so it never hallucinates against out-of-date or incomplete sources.
by morshu9001 | 2025-12-08 20:36:22+00:00
Parties in an economy don't normally buy something that they sell at the same time. It's hazier than that here, but still looks like Nvidia is buying GPUs from itself via OpenAI and Oracle.

Btw there are examples involving sanctioned economies. Most US saffron comes from Spain, all of whose saffron comes from Iran. Azerbaijan exports way more gas than they produce, cause they also buy from Russia.
by toast0 | 2025-12-08 20:36:34+00:00
> AMD's X3D CPUs have a single SRAM die stacked on top of the regular CPU+SRAM, with TSVs in the L3 cache to connect to the extra SRAM.

Just FYI, the latest X3D flipped the stack; the cache die is now on the bottom. This helps transfer heat from the compute die to the heatsink more effectively. In armchair silicon designer mode, one could imagine this setup also adds potential for multiple cache dies stacked, since they do interpose all the signals, why not add a second one ... but I'm sure it's not that simple, for one: AMD wants the package z-heights to be consistent between the x3d and normal chip.
by freehorse | 2025-12-08 20:37:21+00:00
People cared about money from the beginning, firstmost. You do not create such a new kind of currency if money is not what you care about.

As the original article says:

> The cypherpunk ethos attracted me. I was enamored by the whole idea of Bitcoin being a private bank for wealthy individuals. Being able to walk across the border with a billion dollars in your head is and always will be a powerful idea to me.

People sure had a "cypherpunk ethos" but they built cryptocurrencies, not tor network or signal. The author's dream was to be rich and untouchable. Imo the author is not that far away from the ethos of modern crypto as they think they are.
by baranul | 2025-12-08 20:37:30+00:00
Might want to read up on Ponylang. GC'd FOSS language without the stop-the-world pauses, demonstrating that it's possible. Should also be pointed out, that there are a number of proprietary solutions that claim GC with no pauses. Unfortunately, if coming from more common C-family languages, Ponylang may require more to get used to the actor model and different syntax.
by WorldMaker | 2025-12-08 20:37:45+00:00
It's not that silly of an argument when you factor in Blu-Ray as the other side of "won't be able to watch a WB movie without". Right now the only Netflix "Exclusives" you can find on Blu-Ray are the ones they source from Sony, Warner Brothers, or Paramount. If they own Warner Brothers one of those Blu-Ray sources goes away.

Instead of a one-time Blu-Ray purchase for ~$25 for a movie to watch as many times as you'd like, it's an ongoing subscription for $25/month. If you only want to watch that one movie in two different calendar months, you've easily doubled your spend.

(Yes, it is still apples-to-oranges because you may watch more than one movie in a month, but the flipside is that the $25/month is a variable catalog fee. The movie you want to watch may be "vaulted" that second month you want to go watch it. With Blu-Ray you control your film catalog, with Netflix some finance team does.)

(Also, yes, easy to forget Blu-Ray in this debate because Blu-Ray is dying/dead, especially in physical retail with Target and Best Buy dropping its sections. You can also substitute a lot of the same arguments here with arguments for Movies Anywhere and/or iTunes Store.)
Better email search/contact management?
by jll29 | 2025-12-08 20:38:05+00:00
What do you use - instead of Xobni (R.I.P.), for instance, for better mail search/contact management: Nimble, Mailspring, eM, Mailbird, or something else?

Ideally, I would like to have a cross-platform mail/contacts/calendar client that is small/lean [like Mutt], robust/fast/responsive with a clean/simple UI [as Pine], with a great search [like GMail/Spotlight], good contact management [like Xobni], and controllable by the keyboard or mouse [like Emacs].

Should be able to connect to Exchange/MSFT O365 and IMAP, additional protocol support for RSS, XMPP and NNTP (USENET NEWS) would be considered a plus.
by thethirdone | 2025-12-08 20:38:16+00:00
> The simplest example being that LLM's somehow function in a similar fashion to human brains. They categorically do not. I do not have most all of human literary output in my head and yet I can coherently write this sentence.

The ratio of cognition to knowledge is much higher in humans that LLMs. That is for sure. It is improving in LLMs, particularly small distillations of large models.

A lot of where the discussion gets hung up on is just words. I just used "knowledge" to mean ability to recall and recite a wide range of fasts. And "cognition" to mean the ability to generalize, notice novel patterns and execute algorithms.

> They don't actually understand anything about what they output. It's just text.

In the case of number multiplication, a bunch of papers have shown that the correct algorithm for the first and last digits of the number are embedded into the model weights. I think that counts as "understanding"; most humans I have talked to do not have that understanding of numbers.

> It's just an algorithm.

> I am surprised so many in the HN community have so quickly taken to assuming as fact that LLM's think or reason. Even anthropomorphising LLM's to this end.

I don't think something being an algorithm means it can't reason, know or understand. I can come up with perfectly rigorous definitions of those words that wouldn't be objectionable to almost anyone from 2010, but would be passed by current LLMs.

I have found anthropomorphizing LLMs to be a reasonably practical way to leverage the human skill of empathy to predict LLM performance. Treating them solely as text predictors doesn't offer any similar prediction; it is simply too complex to fit into a human mind. Paying a lot of attention to benchmarks, papers, and personal experimentation can give you enough data to make predictions from data, but it is limited to current models, is a lot of work, and isn't much more accurate than anthropomorphization.
by pinkmuffinere | 2025-12-08 20:38:22+00:00
This is fascinating! At the same time, this wikipedia article is of surprisingly low quality, with sentences like

> It is hard to determine how much spacing should be put in between words, but a good typographer is able to determine proper spacing.[3]

> Since the fifteenth century, the best work shows that text is to be read smoothly and efficiently.[4]

> Two other gentlemen have expressed different opinions on what the space between words should be.
by belindamo | 2025-12-08 20:38:34+00:00
What if you could watch an AI Scientist think?

We built an interface to make Sakana's AI Scientist-v2's interpretable - so you can see every hypothesis, every failed experiment, every "aha" moment. One of its fully AI-generated papers was accepted to an ICLR 2025 workshop — the first time a workshop paper conducted entirely by AI passed peer review.

We hosted it so it is easy to run on your own experiments.

Hosted AI Scientist-v2: https://platform.sundialscientific.com/ More explanation of what it does, including its limitations: https://x.com/belindmo/status/1998122813799190992?s=20
by roadside_picnic | 2025-12-08 20:38:46+00:00
> Unfortunately, I cannot read technical books fast and definitely not fast enough to make the subscription be worth $500 per year.

For me I find the $500 to be a pretty clear win as far as value goes. My shelves are already overflowing with, while not "timeless", much slower aging technical books. But quite often, throughout a year, I'll want a deeper dive into a current topic than I can get from online resources + Claude. Quite often that dive involves wanting to look through multiple books (even if only using a few chapters).

I know I'm a dying breed, but, while I love AI for interactive exploration and learning, I find books more valuable in the era of endless YouTube tutorials and AI slop blog posts. Technical topics benefit from "big picture" thinking that basically doesn't exist in modern short-form web content.
by tims33 | 2025-12-08 20:39:17+00:00
The specifics of the article zero sense. Net Income and Operating Cash Flow are not the same thing so there is no mystery about whey they are different especially in a business with large Capex and long lead times.

NVIDIA's historic DSO figures have also ranged from 41 to 57 over the last 5 years, so again not that crazy.
by Ukv | 2025-12-08 20:39:20+00:00
> I'm really struggling to believe that anyone would consider this a "coding success".

The index_tiled.html version later in the article is what justifies the success claim IMO, and is the version I think it would've made more sense to host.

The currently hosted index.html just feels like a consequence of the author taking a scaled/compressed screenshot and asking Claude to produce an exact match.
by salawat | 2025-12-08 20:39:25+00:00
Why are you trying to maximize dollar extraction from the consumer via taxing something cheaper, rather than, I don't know, doing something about the sector hoovering up those dollars under the guise of "leave no dollar on the table?

And don't tell me it can't work. If that can't work, it makes no sense to harm the electronics with a 10000% tax. At that point you're just drawing a line and saying "Poor people shouldn't have nice things. Let them die."
by rixed | 2025-12-08 20:39:38+00:00
I wholeheartedly agree; But I also understand why, to those failing to change (or to change as fast as they would want), it can sound patronizing to hear that "it's all about your mindset". It's important to start by acknowledging the circumstances that can make it hard to improve before encouraging someone to fight them.

It's not only about personality disorders by the way, as you said it also applies to behavior. I've seen people who were total sociopaths when young (incl jail time) turn into good members of society much later in life. And I don't want to advocate for leniency here, at the contrary I believe it's important to set the expectations straight otherwise it's easy to learn how to game the system.

I wish there were more movies/books showing how much people can change and what can shape those changes. There are a few, but that really goes against the flow of good vs evil in our tradtional story-telling.
by WalterBright | 2025-12-08 20:39:50+00:00
> And you immediately demonstrate why having a conversation with you on this subject is pointless.

That's because my positions are correct.

BTW, rent control in 9 states is statewide, and is commonplace in cities.

Google [does seattle provide free lawyers for tenants?] for more examples.

For more,

In California, over 35 cities and counties have implemented long-term rent control ordinances for residential rental housing. In addition, since Jan. 1, 2020, the California Tenant Protection Act has extended rent caps and eviction restrictions to many properties not governed by local ordinances.

Google also reports:

Tens of thousands of NYC rent-stabilized apartments are vacant, with estimates varying from around 26,000 to over 60,000, often described as "warehoused," because strict rent caps (especially after 2019 laws) make costly renovations financially unviable for landlords, leading to units sitting empty rather than being rented or sold. While some vacancies are for legitimate repairs, many are held off-market as owners await the ability to renovate and raise rents, contributing to the city's housing shortage, say housing advocates and reports.
by YesBox | 2025-12-08 20:39:56+00:00
Thanks for putting this together. Shaders are something I wish I had the time to dive deep into, but since I'm making a game, my time is very limited for the time being. i.e. I only learn what I need to.

Only critique is.. if you're sharing to teach, your compact/one line [460] char GLSL code is a poor delivery mechanism.
by DooMMasteR | 2025-12-08 20:40:01+00:00
they also fixed the issue, SSH is off by default now.

BUT BE WARNED: it runs a web-server by default with no password set from the factory, you have to configure it first run to secure it....

yeah, this article is mostly a no banger, they made some dumb oversights/mistakes with the firmware but fixed them quickly and even documented the issues and concerns. The firmware if open source after all.
by b00ty4breakfast | 2025-12-08 20:40:03+00:00
>It's quite telling that, even in this basic hypothetical, your first instinct is to gesture vaguely in the direction of governmental action, rather than expect any agency at the level of the individual.

When "individuals" (which is a funny way to refer to the global generative AI zeitgeist currently in full binge-mode that is encouraging and enabling this kind of behavior) refuse to regulate themselves, they have to be encouraged through external pressures to do so. Industry is so far up it's own ass wrt AI that all it can see is shit, there is no chance in hell that they will self-regulate. They gladly and indiscriminately slurp up the digital effluent that is currently sliding out the colon of the generative AI super-organism.

And, of course, these "individuals" are more than happy to share the consequences with the rest of the world without sharing too much of the corn that they're digging out of the shit. It does not behoove the rest of the world to not protect it's self-interest, to minimize the consequences of foolish and irresponsible generative AI usage and to make sure it gets it's fare share of the semi-digested golden kernels
by pch00 | 2025-12-08 20:40:08+00:00
Microsoft’s early/rushed attempt at AI (the various things called “Copilot”) does start to feel like how they lost the mobile wars. They had a tech fairly early (Windows Mobile) but utterly failed to execute on it and ultimately, allowed a competitor to dominate with a better product.

It’ll be interesting to see how this plays out. With the sums of money involved it could end up being make or break?
by arcticbull | 2025-12-08 20:40:10+00:00
Burrys critique is that the Nvidia funding deals have them investing money in a company and getting both stock in that company and their own money back to buy the chips. They then book the chip sales in revenue but they don’t show the investment as a cost, since investments are treated separately from an accounting perspective. So it looks like they’re growing revenue organically at no cost, while that doesn’t seem logically consistent with what’s actually happening.
by Havoc | 2025-12-08 20:40:13+00:00
Not a big fan of the circular observation. It's not the gotcha people seem to think.

If the baker sells bread to the butcher, and the butcher sells meat to the baker then they can still both go to bed with a belly full of sandwich (aka actual utility & substance).

Adding a third party to make it look more circle-y doesn't change that logic.

Round trip financing is mostly an issue if it is artificial (e.g. a circle of loans) and between affiliated parties, not when something of substance is delivered. Oracle is a business partner of nvidia but I'd wager they'll still kick up a fuss if they don't get their pallets of GB200s. They'll expect actual delivery...like you know...in a real sale.
by monerozcash | 2025-12-08 20:40:32+00:00
It's neither fantasy, nor a lie. You shouldn't throw around accusations like that without actually familiarizing yourself with the topic.

Banking trojans were doing just that, and receiving that money is obviously far more challenging than ransom payments because the owner will tend to notice pretty quickly and want it back. Ransomware doesn't have this problem, they can just deliver the keys only after they actually have the money in their control.

BEC groups are stealing billions every year via bank transfers right now.

.ru crime forums are absolutely full of people who will handle the logistics for you. They'll provide you bank accounts to send the money to, and deliver you whatever is left after their cut. A regular customer with high volumes will get excellent rates. The logistics aren't a challenge because there is absolutely massive pre-existing infrastructure already available.

Ransomware isn't big because of crypto(currency), Winlockers were popularized well before crypto payments became common. Ransomware just happened to develop at the same time as crypto, not thanks to it.
by tehjoker | 2025-12-08 20:40:35+00:00
“allowed” is doing a hell of a lot of work for monopoly capitalism backed by us state diplomacy

you may want to read this book about the military history of the internet originating in counter insurgency strategy in vietnam.

https://www.amazon.com/Surveillance-Valley-Military-History-...

another way to look at american internet penetration is as “radio free asia dot com”
by ActorNightly | 2025-12-08 20:40:48+00:00
Yes (with caveats)

In todays world, web based exploits are pretty rare. The only time you really see this happen is with full proprietary systems like IPhones because the software stack on those is all intertwined between kernel code and user code, and things like sending a text message with some formatted characters can lead to reboots of phones. But even then, to gain a full command line shell or steal secrets is either impossible due to attack surface, or requires the phone to be in a specific state, like fully factory reset.

The only real danger is chains of trust being compromised, as in some attacker manages to insert malitious code into an already trusted app that uses these exploits.

On a side note i get kick out of reading HN comments about exploitation and hacking. I think people firmly believe that with enough time, a hacker can figure out how to basically take over your phone given any exploit, no matter what it is.
by pixl97 | 2025-12-08 20:41:00+00:00
>Not to pick on the LEOs, but they are supposed to be the best of us, holding the line, and not compromising their integrity for the transient satisfaction of an imagined felony stop.

I mean for the most part this has never been the case. Cops themselves have not been very far about the criminals they are supposed to stop historically. Almost all improvements in policing have been forced upon LEO from outside organizations.

>is the result of a shared fantasy

One hundred percent. When I was younger I was around LEO quite often and they'd sit around and pass stories back and forth on how bad everyone else is, and how everyone was out to get them. Now they have the internet to sit around and feed each other bullshit, and worse, be propagandized to.
by lII1lIlI11ll | 2025-12-08 20:41:44+00:00
> … isn’t this… what you should be doing already?

I still "own" (i.e. I'm the sole user with a root access and can install OS of my choosing) an old machine from the days before everything moved to a cloud and guess no one from IT has got to decommission it yet. I'm have no idea where it is located (besides knowing which office it is assigned to), never saw it, no way in hell am going to attach any tags and waste my time to install enterprise spyware on it or manually encrypt it's data. Do engineers do that for development servers on your job? If yes, name and shame!
by bigyabai | 2025-12-08 20:42:38+00:00
When it comes to AI, there's ~5 trillion dollars of datacenter revenue Apple could be competing for, but isn't. That's not good.

Now, maybe it would be justifiable if there were great local AI experiences on iPhone, or an easy $5 trillion to be made elsewhere. Until then, Apple is bleeding money hand-over-fist by refusing to sign the CUDA UNIX drivers and sell the rackmount Mac as a cutting-edge TSMC inference box. The Grace superchip is absolutely eating Apple's ARM lunch right now.
by johnfn | 2025-12-08 20:42:38+00:00
It does amuse me when you have great, clean writing in some parts of a post, but then you have a sentence like

> As we head into 2026, when looking at Nvidia, openai and Oracle dynamics, it looks like they are squeezing each other balls.

Yeah I don't think there's a snowball's chance in heck that an LLM wrote that one, lol. My best guess is that the author combed over some of their prose with an LLM, but not all.
by hu3 | 2025-12-08 20:42:54+00:00
Interesting. I'm not experienced in data cleaning. About Python vs Excel: Isn't manual cleanning of data in Excel prone to permanent error? Because:

- it's hard to version control/diff

- it's done by a human fat fingering spreadsheet cells

- it's not reproducible. Like if you need to redo the cleaning of all the dates, in a Python script you could just fix the data parsing part and rerun the script to parse source again. And you can easily control changes with git

In practice I think the speed tradeoff could be worth the ocasional mistake. But it would depend on the field I guess.
by uplifter | 2025-12-08 20:43:01+00:00
It is a theorem about what a class of systems will do in general^.

This Apollo Research study[0] result is dubious because it only refers to a small subclass of said systems, specifically LLMs which, as it happens, have been trained on all the AI Alignment lore & fiction on the internet. Because of this training and their general nature, they can be made to reproduce the behavior of a malicious AI trying to escape its box as easily as they can be made to impersonate Harry Potter.

Prompting an LLM to hack its host system is not the slam dunk proof of instrumental convergence which you think it is.

[0] Apollo research study mentioned by parent https://www.apolloresearch.ai/blog/more-capable-models-are-b...

Edit: ^Instrumental Convergence is also a claim for the existence of certain theoretical entities, specifically that there exist instrumental goals which are common to all agents. While it is easy to come up with goals which would be specifically instrumental, it seems very hard to prove that such a thing exists in general, and no empirical study alone could do so.
by Terr_ | 2025-12-08 20:43:13+00:00
While I'd appreciate that facility too, it seems... even-more-fanciful, as one tool would need to somehow incorporate all the logic and quirks of all supported commands, including ones which could be very destructive if anything went wrong.

Kind of like positing a master `dry-run` command as opposed to different commands implementing `--dry-run` arguments.