MurphyA/hacker-news huggingface dataset:
by iamnothere | 2025-12-31 01:38:31+00:00
Yes, that’s a great example and it’s unfortunate for the French that France has been steadily moving away from it.

I think that part of the problem is that holding firm against international capital, domestic opportunists, currency speculators, and so on requires an iron political will and a certain tolerance for short term pain. Postwar France was able to manage this but later generations don’t have the same perspective. It may be a cyclical political problem without a good solution, other than documenting the problem for future generations whenever it arises.
by D13Fd | 2025-12-31 01:38:50+00:00
Because every unit of electricity causes climate change and burns resources (even renewable sources of electricity - they just burn them slower). From a societal point of view we are dumping huge amounts of electricity and resources into a hole to accomplish nothing that couldn’t be accomplished with a database and a trusted third party at a billionth of the cost (or less).

The vast majority of transactions are speculation on what other people might pay for a bitcoin (i.e., a line on a spreadsheet). And even then, that speculation and trading often occurs on secondary markets which rely on trusted third parties - thus rendering the entire ordeal even more pointless.
by mark_l_watson | 2025-12-31 01:38:57+00:00
> in 5-10 years, most entry-level laptops will be able to manage a local 30B sized model

I suspect most of the excitement and value will be on edge devices. Models sized 1.7B to 30B have improved incredibly in capability in just the last few months and are unrecognizably better than a year ago. With improved science, new efficiency hacks, and new ideas, I can’t even imagine what a 30B model with effective tooling available could do in a personal device in two years time.
by scuff3d | 2025-12-31 01:39:13+00:00
Something not mentioned by the article is that the gains seen by "AI native startups" and green field projects are going to be paid for later. Anyone who's worked in software for a bit will tell you that last 20% of a project is a bitch, and it's gonna be worse when you don't understand how anything actually works.

Interestingly, I've worked both ends of the spectrum simultaneously over the last year. I've spent most of my time on a (mostly) legacy system we're adding capabilities too, and I've spent some over time working on an R&D project for my company. In the first, AI had been of limited use. Mostly good for generating helper scripts and data generators, stuff where I don't care and just need a couple hundred lines of code. In the R&D project on the other hand we probably got a years worth of work done in 2 months, but I can already see the problems. We are working in a space none of us are experts in and with a complex library we don't understand. AI got us to a demo of an MVP way quicker then we could have ourself, but actually transitioning that to something useful is going to be a LOT of work.
by btschaegg | 2025-12-31 01:39:36+00:00
Came here to comment on Gothic, too. I'd have picked the original Gothic even more as an example, though -- there, you are in a prisoner colony, even if you are in a settlement. Anger the wrong people and you won't survive the experience for most of the game.

Also the swamp camp is really close to some rather deadly creatures if you're not careful in the early game.
by OutOfHere | 2025-12-31 01:40:34+00:00
I fully understand that various articles, even peer-reviewed ones, are bogus, and some reviews are bogus too when they demonstrate an unfair bias in selecting articles. Even so, it has been my experience that reviews over the long term converge to the truth.

As for individual studies, if a study is important, it often gets tested by others, although sometimes it doesn't, and then it's a decision theoretic play.

Cochrane in my estimation examines things from very narrow angles, and this can miss wide-ranging applicability to the real world.
by johnnyanmac | 2025-12-31 01:40:34+00:00
The OP link feels like a list you scroll until you see something that interests you, and you jump on that. An ideaboard.

The link in this chain feels like a mini-curriculum. AKA "you do all these 7 things and you'll probably become very good at any job". a decent university will probably have you do 4-5 out of these projects (making a spreadsheet program is truly a huge feat, though).

They both have some use, but different use cases in my eyes.
by PaulHoule | 2025-12-31 01:41:24+00:00
Look, I go to the only church that has a sacrament proven to induce more spiritual experiences than a placebo and I still think the drug references are cringe. And who's to say that

College graduation < Male Orgasm < Female Orgasm < LSD < 5-Meo-DMT

is in the right order. Seems like it was written by somebody who doesn't have a lot of experiences to compare with each other.
by jibal | 2025-12-31 01:42:47+00:00
Certainly some people know better than some other people, and I see nothing in the guidelines that say otherwise, or say that one cannot say so ... expertise is a thing. OTOH, I think there are several aspects of your comment that go against the guidelines. (Perhaps my pointing that out does as well.)

Of course, one can dispute specific claims, with facts and argumentation.
by phyzome | 2025-12-31 01:43:41+00:00
This is bad advice:

« Do not wash your hands in the bathroom; use alcohol-based hand sanitizer containing at least 60% alcohol instead. »

Alcohol only kills some pathogens. Notably, it does not kill norovirus. If the water has coliform bacteria, you should wash your hands with soap and water and then use the alcohol hand sanitizer
by airstrike | 2025-12-31 01:43:44+00:00
> One could say that the introduction of the personal computer became a "race to the bottom." But it was only the start of the dot-com bubble era, a bubble that brought about a lot of beneficial market expansion.

I think the comparison is only half valid since personal computers were really just a continuation of the innovation that was general purpose computing.

I don't think LLMs have quite as much mileage to offer, so to continue growing, "AI" will need at least a couple step changes in architecture and compute.
by dh2022 | 2025-12-31 01:44:10+00:00
I now understand what you mean. This is how post-WW1 Germany tried to pay its WW1 "fines" which were pegged to gold [0]. The result was hyper-inflation - and 2 years later when this scheme was thrown out the currency stabilized. Most likely the same would happen in your scenario - the retirees would come ahead for a while, but only for a short time. So I do not think this is a solution for retirees (no matter their large political power)

These days currencies have no real assets behind them. One cannot expect to be able to purchase real goods / services indefinitely with a fictional construct (fiat currency)

[0] https://en.wikipedia.org/wiki/Hyperinflation_in_the_Weimar_R...
by cebert | 2025-12-31 01:44:30+00:00
I don’t know you personally, but I think humility matters a lot. You mentioned that you’re “pretty smart,” and this may very well be true. I’m involved in interviewing at my work, and one thing I’ve learned is that raw intelligence alone isn’t what stands out most.

I consider myself a hard worker, but realistically fairly mediocre in terms of pure skill or ability (and that’s okay, I’m doing fine). What matters more to me is that I’m always trying to learn and grow. I tend to find it offputting when candidates describe themselves as “experts” or “highly skilled” in technologies or languages. It’s possible to be an expert, but usually that comes with very narrow depth. These self-declared experts are often a red flag.

I’ve been coding in C# for nearly 20 years and have been using AWS technologies for nearly a decade, and I still wouldn’t call myself an expert. I find it a bit amusing when self-declared experts cannot confidently explain the inner workings of the garbage collector or the CLR in great detail. There’s nothing wrong with not knowing those things, but declaring yourself an expert sets a high bar that often doesn’t hold up.

Personally, I much prefer candidates who are humble, honest about their strengths and gaps, and clearly motivated to keep learning.
by XorNot | 2025-12-31 01:45:02+00:00
But the competition isn't carrier-based aviation, it's VLS cells on other platforms.

If you have more of them, then your ships can engage from further ranges meaning they can shoot sooner and faster while dealing with less incoming threats in response.

Because to defeat those incoming missiles you're going to need your own - which is what the Navy does now.

It's a comparative benefit problem: what's the floating gun platform doing thats worth the purchase price compared to just having more VLS cells which can do air defense, land attack, anti-missile defense and ballistic missile defense? Buying the gun platform is coming at the expense of that. If you can find more money to also have a gun platform, why not just buy more missiles?

The practical adversary the US Navy is facing is China which has large numbers of hypersonic ground launched anti-ship weapons. The fight never gets to shore bombardment, because either you deal with those threats or your ships get killed.

The problem is you're presuming that the adversary has a relatively few long range missiles - but the problem is, you have relatively much fewer ships then anyone has missiles. Killing the munitions ship is one option, killing the battleship - particularly at $15 billion a piece - also just takes the threat off the board. And you can do it before it possibly even gets in range.
by LegionMammal978 | 2025-12-31 01:45:21+00:00
But to link against an old glibc version, you need to compile on an old distro, on a VM. And you'll have a rough time if some part of the build depends on a tool too new for your VM. It would be infinitely simpler if one could simply 'cross-compile' down to older symbol versions, but the tooling does not make this easy at all.
by bigbadfeline | 2025-12-31 01:46:01+00:00
As accounting goes, Social Security is a separate fund and that's good. At some point during the Clinton admin, while the fund was in surplus, money from it was included in the budget to be used for purposes other than Social Security - it had never happened before that point. This is what I called "raiding".

Technically, the money is borrowed and replaced by gov bonds but that's a way of transferring the liabilities to general tax collection.
by WD-42 | 2025-12-31 01:46:43+00:00
This is from codecrafters.io which is a platform that facilitates working on projects like these while essentially providing integration tests to keep you honest, as well some community. You work through well defined requirements to reach the full implementation. I’m currently working on their build your own redis project. It’s quite fun.

I don’t think this is AI generated. They ask the community for new project ideas, this list is probably made up of those they’ve received while plugging the challenges they already have implemented.
by aprilthird2021 | 2025-12-31 01:47:22+00:00
I'm genuinely curious. Why do you do this instead of Google Searches which also have an AI Overview / answer at the top, that's basically exactly the same as putting your search query into a chat bot, but it ALSO has all the links from a regular Google search so you can quickly corroborate the info even using sources not from the original AI result (so you also see discordant sources from what the AI answer had)?
by wtallis | 2025-12-31 01:47:40+00:00
https://osuosl.org/blog/osl-moving-to-state-data-center/ mentions several major, famous services/projects that OSUOSL either has hosted in the past or is still hosting: kernel.org, Debian, Gentoo, Drupal, OpenWRT, OSGEO. https://osuosl.org/blog/osl-future/ also mentions hosting Mozilla at the time of the Firefox 1.0 release, and having previously hosted Apache Software Foundation. Closer in relevance to F-Droid, OSUOSL hosts the GitLab instance used by postmarketOS: https://postmarketos.org/blog/2024/10/14/gitlab-migration/
by Analemma_ | 2025-12-31 01:47:54+00:00
Most startups have big upfront capital costs and big customer acquisition costs, but small or zero marginal costs and COGS, and eventually the capital costs can slow down. That's why spending big and burning money to get a big customer base is the standard startup methodology. But OpenAI doesn't have tiny COGS: inference is expensive as fuck. And they can't stop capex spending on training because they'll be immediately lapped by the other frontier labs.

The reason people are so skeptical is that OpenAI is applying the standard startup justification for big spending to a business model where it doesn't seem to apply.
by IgorPartola | 2025-12-31 01:48:20+00:00
The weird thing is that it seems like some people are almost addicted to buying these boxes and I am not sure if the use cases. It almost has a feeling of gambling.

I used to get boxes from there for a specific product I had (ability to ping from multiple places around the globe to see what your latency was like) and one provider did burn me but the rest were pretty great.

I just wish more of them provided a proper native IPv6 stack. Still can’t understand why this isn’t standard for all.
by irjustin | 2025-12-31 01:48:22+00:00
Isn't this the 2021 paper?

I can't find the 2025 which this article is supposed to be improving upon that work?

Or are we just resurfacing 2021 work all together?

[Edit]

Yes that is the 2021 paper, but this new announcement is supposed to improve that process but I can't find any sort of paper other than the Spark Award 2025 announcement[0]

[0] https://www.youtube.com/watch?v=NcMTOI25yb8
by thrdbndndn | 2025-12-31 01:48:47+00:00
Is the article itself written by the manufacturer or a 3rd party? It keeps saying "we ..." but then also "[i]t seems that ...".

Edit: apparently the site is translated from its original Japanese version, which explains these weird wordings.

The original article is here, which has more pictures too: https://audio-heritage.jp/DIATONE/diatonesp/d-160.html
by johnnyanmac | 2025-12-31 01:49:36+00:00
yes, but it's not necessarily the same kind of repetitiveness in every industry.

In the tech space, Leetcode is repetitive by design, because after a while you realize the core problems are focusing on a half dozen different concepts. After getting good at throwing in a table, or whipping up a dynamic programming approach, you pull them out like you would a multiplication table that you memorized back in elementary and build from there.

There's questions on if this is a valuable skill in practice, where you'll be thrown into the weeds of many unfamiliar problems constantly. But it sure will make you look competent when at the interview stage. And maybe feel confident as a craftsman when you don't need to refer to documentation every 5 minutes.
by bccdee | 2025-12-31 01:49:50+00:00
Splitting one big codebase into 100 microservices always seems tempting, except that big codebases already exist in modules and that doesn't stop one module's concerns from polluting the other modules' code. What you've got now is 100 different repositories that all depend on each other, get deployed separately, and can only be tested with some awful docker-compose setup. Frankly, given the impedance of hopping back and forth between repos separated by APIs, I'd expect an LLM to do far worse in a microservice ecosystem than in an equivalent monolith.
by AkshatJ27 | 2025-12-31 01:50:13+00:00
The youtuber MegaLag released part 1 of his investigation roughly 1 year ago: https://youtu.be/vc4yL3YTwWk

Recently, he released 2 more parts with more new information that paints Honey in a pretty bad light: https://youtu.be/qCGT_CKGgFE https://youtu.be/wwB3FmbcC88
by Waterluvian | 2025-12-31 01:50:18+00:00
> what the engineers thought when doing design reviews for a "selective stand down" feature.

Possibly a version of, “I lack the freedom to operate with a moral code at work because I’m probably replaceable, the job market makes me anxious, my family’s well-being and healthcare are tied to having a job, and I don’t believe the government has my back.”
by ajb | 2025-12-31 01:50:49+00:00
As of the time of writing the first hundred or so comments are on tangents, so TLDR: this is about making a "Linux distribution" of which all the userland software is win32 software running on Wine. The idea, among others, is to recreate the experience of '90s..'10s versions of Windows.
It's at an early stage.
by fooker | 2025-12-31 01:51:34+00:00
Okay, get outraged. Not sure about the strawman ballroom argument but:

Let me repeat, shouting "stupid Trump is horrible for the economy" from rooftops is not a great political strategy.

In the case it turns out to be false, (and there is a credible chance of that - read the article) it will seem incredibly dishonest.
by Aurornis | 2025-12-31 01:52:08+00:00
> The goal is to be too big to fail and get bailed out by US taxpayers

I know this is the latest catastrophizion meme for AI companies, but what is it even supposed to mean? OpenAI failing wouldn’t mean AI disappears and all of their customers go bankrupt, too. It’s not like a bank. If OpenAI became insolvent or declared bankruptcy, their intellectual property wouldn’t disappear or become useless. Someone would purchase it and run it again under a new company. We also have multiple AI companies and switching costs are not that high for customers, although some adjustment is necessary when changing models.

I don’t even know what people think this is supposed to mean. The US government gives them money for something to prevent them from filing for bankruptcy? The analogy to bank bailouts doesn’t hold.
by CodingJeebus | 2025-12-31 01:52:43+00:00
I personally believe that AI is going to render a lot of “outbound” personal marketing obsolete as resumes all start to look the same.

I’ve shifted more towards cultivating relationships with coworkers and using those connections to find work when those coworkers move on. It’s way less effort than trying to generate content and has gotten me two decent jobs since 2023.

I consider myself to be an A- talent. I’m very hardworking but there are much more talented developers than myself looking for work.
by raw_anon_1111 | 2025-12-31 01:53:35+00:00
We don’t need anecdotes. We have data. Google has been announcing quarter after quarter of record revenues and profits and hasn’t seen any decrease in search traffic. Apple also hinted at the fact that it also didn’t see any decreased revenues from the Google Search deal.

AI answers is good enough and there is a long history of companies who couldn’t monetize traffic via ads. The canonical example is Yahoo. Yahoo was one of the most traffic sites for 20 years and couldn’t monetize.

2nd issue: defaults matter. Google is the default search engine for Android devices, iOS devices and Macs whether users are using Safari or Chrome. It’s hard to get people to switch

3rd issue: any money that OpenAI makes off search ads, I’m sure Microsoft is going to want there cut. ChatGPT uses Bing

4th issue: OpenAIs costs are a lot higher than Google and they probably won’t be able to command a premium in ads. Google has its own search engine, its own servers, its own “GPUs” [sic],

5th: see #4. It costs OpenAI a lot more per ChatGPT request to serve a result than it costs Google. LLM search has a higher marginal cost.
by reilly3000 | 2025-12-31 01:54:04+00:00
codex cli with gpt-5.2-codex is so reliably good, it earns the default position in my book. I had cancelled my subscription in early 2024 but started back up recently and have been blown away at how terse, smart, and effective it is. Their CLI harness is top-notch and it manages to be extremely efficient with token usage, so the little plan can go for much of the day. I don’t miss Claude’s rambling or Gemini’s random refactorings.
by sod22 | 2025-12-31 01:54:53+00:00
I personally know people that used ChatGPT a lot but have recently moved to using Gemini.

There’s a couple of things going on but put simply - when there is no real lock in, humans enjoy variety. Until one firm creates a superior product with lock in, only those who are generating cash flows will survive.

OAI does not fit that description as of today.
by debian3 | 2025-12-31 01:55:10+00:00
True, just happened to one of my friend. 10 years old gmail account got suspended because he supposedly sent phishing emails. Which is completely false (he didn’t even understood what pishing was, he had google authenticator for totp). Ofcourse the appeal process was useless as no one reply to those. It’s been 2 months now. Own your domain.
by Aurornis | 2025-12-31 01:55:37+00:00
> from some large portion of the US population

What a silly calculation.

OpenAI’s customer base is global. Using US population as the customer base is deliberately missing the big picture. The world population is more than 20X larger than the US population.

It’s also obvious that they’re selling heavily to businesses, not consumers. It’s not reasonable to expect consumers to drive demand for these services.
Show HN: ClearTok – a small tool to remove reposted videos from TikTok
by auroroa | 2025-12-31 01:56:16+00:00
I built ClearTok after helping friends clean up old reposts on their TikTok accounts.
Manually unreposting dozens of videos was tedious, so I built a small browser-based tool
that automates the process.

It runs locally in the browser and doesn’t require uploading videos or credentials
to a server. The goal is to make account cleanup simple and fast.

I’d really appreciate any feedback, especially from people who’ve built
creator tools or browser extensions.
by pas | 2025-12-31 01:56:47+00:00
if you are a US citizen you can have US bank account

HSBC UK also is available (and the account can be opened from the US remotely)

in the EU there's Santander (OpenBank), and Wise, Revolut

debanking is IMHO when simply being too poor or otherwise disadvantaged results in having no viable pathway at all for having a normal account, which here is not the case.

(and this is something the EU could/should fix by negotiating with the US, and/or by helping banks to bear the costs of compliance, etc.)
by w10-1 | 2025-12-31 01:56:52+00:00
This is the 2002 law article, before the 2006 book on networks that reflected early interest in network effects, arguing that open-source is an emergent mode of production. The same analysis could arguably be applied to the creator or influencer economy. It aged well.

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

But he adopting the techniques of transaction cost economics (TCE) while at the same time posing straw man TCE claims (e.g., that TCE says there are only integrated firms and markets). TCE says transaction costs matter most in determining economies of transactions at high scale, and its methods can show how a broad variety of costs end up shaping activity and institutions. It also explains which innovations are disruptive (surprise: they change the transaction costs) and thus how digitalization has had such a huge impact so quickly.

The TCE analysis has become second nature in business strategy, but surprisingly rare in policy circles, its intended audience.

And his analysis in hindsight is a bit wishful. Roughly speaking, while open-source reduces coordination costs, it doesn't reduce the underlying complexity. The big open-source projects get that way through major corporate sponsorship, and they run with very clear dictatorial/oligarchic or bureaucratic decision-making if they evolve.

One of the principles of TCE methodology is to compare not ideal with real, but two actual and viable forms of organization. In this case he's projected ideal benefits without any of the real costs. That was forgivable in 2002 or even 2006, but it would be malpractice now.