MurphyA/hacker-news huggingface dataset:
by luma | 2026-02-20 16:28:28+00:00
I've never understood the concept of an app wrapper for a link aggregator (HN, reddit, etc). The whole goal is to provide links to external sources, and now I'm browsing the web in a limited web browser without all my extensions etc.

Am I missing some core concept here? Why would I want to browse the web in this app as opposed to a web browser?
by joe463369 | 2026-02-20 16:28:33+00:00
> This has led to outrageous examples such as this man who is facing a longer sentence for burning a Quran than the man who stabbed him (for burning said Quran): https://www.bbc.com/news/articles/c8xr12yx5l4o

This is a more than a bit misleading. The Quran-burner received a £240 fine, his assailant got 20 weeks suspended. Also, though he went for him with a knife, he wasn't successful - nobody was stabbed.
by mjr00 | 2026-02-20 16:28:42+00:00
> Not that long ago, it was perfectly reasonable to be as invisible as possible. But now, this strategy is not only not easy, but also has drawbacks, when compared to being visible ( and understood as useful by the masses ).

That's always been the case depending on what you're trying to do, though. If you want to be Corporation Employee #41,737, or work for the government, you don't need a "personal brand"; just a small social network who knows your skills is good enough. If you're in your early 20s and trying to get 9 figures of investment in your AI startup, yeah you need to project an image as Roy from the article is doing.

It's amplified a bit in the social media world, but remember that only ~0.5% of people actively comment or post on social media. 99.5% of the world is invisible and doing just fine.
by thewebguyd | 2026-02-20 16:28:51+00:00
> In the end it will be the users sculpting formal systems like playdoh.

I’m very skeptical of this unless the AI can manage to read and predict emotion and intent based off vague natural language. Otherwise you get the classic software problem of “What the user asked for directly isn’t actually what they want/need.”

You will still need at least some experience with developing software to actually get anything useful. The average “user” isn’t going to have much success for large projects or translating business logic into software use cases.
by WorldMaker | 2026-02-20 16:29:07+00:00
Personally, I'm still using JSX/TSX to template my Web Components. (I'm not using React, I'm using the non-Virtual DOM approach with Butterfloat [1], but there are other small JSX template language options like Preact and snabbdom out there as well and also other non-Virtual DOM approaches.)

I like the type safety of TSX as well as the syntax highlighting. (As may be obvious with Butterfloat, I also prefer the power of RxJS over signals, but that's a longer conversation.)

[1] https://worldmaker.net/butterfloat/
by zer00eyz | 2026-02-20 16:29:22+00:00
> The folks who keep the power grid running ...

I find this a great choice for an opener. If linesman across the nation go on strike, its a week before the power is off everywhere. A lot of people seem to think the world is simple, and a reading of 'I, Pencil' would go far enlighten them as to how complicated things are.

> secure the internet...

Here, again, are we doing a good job? We keep stacking up turtles, layers and layers of abstraction rather than replace things at the root to eliminate the host of problems that we have.

Look at docker, Look at flat packs... We have turned these into methods to "install software" (now with added features) because it was easier to stack another turtle than it was to fix the underlying issues...

I am a fan of the LLM derived tools, use them every day, love them. I dont buy into the AGI hype, and I think it is ultimately harmful to our industry. At some point were going to need more back to basics efforts (like system d) to replace and refine some of these tools from the bottom up rather than add yet another layer to the stack.

I also think that agents are going to destroy business models: cancel this service I cant use, get this information out of this walled garden, summarize the news so I dont see all the ad's.

The AI bubble will "burst", much like the Dotcom one. We're going to see a lot of interesting and great things come out of the other side. It's those with "agency" and "motivation" to make those real foundational changes that are going to find success.
by ceejayoz | 2026-02-20 16:29:22+00:00
SCOTUS can move much quicker than this when they want to.

And have fairly regularly to benefit this administration:

https://en.wikipedia.org/wiki/Shadow_docket#Second_Trump_pre...

https://en.wikipedia.org/wiki/J.G.G._v._Trump was vacated within days.

"On Friday, March 14, 2025, Trump signed presidential proclamation 10903, invoking the Alien Enemies Act and asserting that Tren de Aragua, a criminal organization from Venezuela, had invaded the United States. The White House did not announce that the proclamation had been signed until the afternoon of the next day."

"Very early on Saturday, March 15, the American Civil Liberties Union (ACLU) and Democracy Forward filed a class action suit in the District Court for the District of Columbia on behalf of five Venezuelan men held in immigration detention… The suit was assigned to judge James Boasberg. That morning, noting the exigent circumstances, he approved a temporary restraining order for the five plaintiffs, and he ordered a 5 p.m. hearing to determine whether he would certify the class in the class action."

"On March 28, 2025, the Trump administration filed an emergency appeal with the US Supreme Court, asking it to vacate Boasberg's temporary restraining orders and to immediately allow the administration to resume deportations under the Alien Enemies Act while it considered the request to vacate. On April 7, in a per curiam decision, the court vacated Boasberg's orders…"

TL;DR: Trump signs executive order on March 14. Judge puts it on hold on March 15. Admin appeals on March 28. SCOTUS intervenes by April 7.
by blurbleblurble | 2026-02-20 16:29:27+00:00
The reason I mentioned "purely autoregressive" is that realistically I expect hybrid diffusion + autoregressive models to be the first popular diffusion models. I could be wrong though. And diffusion models have other tricks like really easy integration with simple classifiers.

Check out this paper where they use diffusion during inference on the autoencoded prediction of an autoregressive model: https://openreview.net/forum?id=c05qIG1Z2B
by hdhdhsjsbdh | 2026-02-20 16:29:28+00:00
While some of it is boosting the abnormal behaviors of people suffering from mental illness, I think you’re making a false equivalency. Mental illness is not required to be an asshole. In fact, most Twitter assholes are probably not mentally ill. They lack ethics, they crave attention, they don’t care about the consequences of their actions. They may as well just be a random teenager, an ignorant and inconsiderate adult, etc., with no mental illness but also no scruples. Don’t discount the banality of evil.
by nickpsecurity | 2026-02-20 16:29:31+00:00
My concept was to do this with two pieces:

1. Generic, mask layers and board to handle what's common across models. Especially memory and interface.

2. Specific layers for the model implementation.

Masks are the most expensive part of ASIC design. So, keeping the custom part small with the rest pre-proven in silicon, even shared across companies, would drop the costs significantly. This is already done in hardware industry in many ways but not model acceleration.

Then, do 8B, 30-40B, 70B, and 405B models in hardware. Make sure they're RLHF-tuned well since changes will be impossible or limited. Prompts will drive most useful functionality. Keep cranking out chips. There's maybe a chance to keep the weights changeable on-chip but it should still be useful if only inputs can change.

The other concept is to use analog, neural networks with the analog layers on older, cheaper nodes. We only have to customize that per model. The rest is pre-built digital with standard interfaces on a modern node. Given the chips would be distributed, one might get away with 28nm for the shared part and develop it eith shuttle runs.
by embedding-shape | 2026-02-20 16:29:39+00:00
> You see this with visual artists who got way too into image generation, and because they have to spin the wheel a thousand times to get one good output, they have totally habituated themselves to a lower standard by the time they emerge from the AI mines clutching their one good output

Is this actually true? I know of no artists nor programmers who used to have strict requirements, careful eyes and "good taste" who after playing around with AI suddenly dropped those things, that'd be very against basically their personality.

Do you have any concrete and practical examples of any currently public artists you've seen be affected by this?
by lhopki01 | 2026-02-20 16:29:48+00:00
I'm not sure why Americans are so certain that their system of separation of powers is the right one. Most countries don't separate the executive and legislative like that. The executive is whoever can command the support of the legislative. If you think about the US system it makes no sense. An executive can just ignore the rules created by the legislative by just not enforcing it and the only means to stop that is a 2/3 majority in a body that by it's nature is not representative of the population but rather of States.

As far as I can tell the US system is designed for gridlock. Things like filibuster, lower house elections every two years, state elected upper body, electorate system are all designed to create girdlock.

While Americans as a whole are to blame for some of this they are working in a completely broken system. In tech we try not to blame a person when something goes wrong so we look at what process allowed this to happen. I think many of the US problems are explained by their underlying system which is basically a copy of the English one at the time of Independence with a monarch and a parliament. Unlike the English system though it barely evolved since then.
by wolfhumble | 2026-02-20 16:30:08+00:00
> For Domains, I am still on porkbun, but i have like 20 domains, and moving them to EU registrars would be pricey. I will do it, just not looking forward to it. Also there are few registrars tht handle all the TLDs i have, nothing like Porkbun.

For .com domains, if the rationale is data sovereignty, GDPR simplicity, avoiding dependence on a handful of American hyperscalers, then from an operational standpoint I don’t see much value in using European-based registrars. Ultimately, these domains remain under U.S. control regardless.
If the focus is 'stubbornness' [one of the points in the article], then of course you have other priorities.

Personally I am all for data sovereignty etc, but very seldom for country boycotts.
by mastax | 2026-02-20 16:30:45+00:00
It seems likely to me the ruling took this long because John Roberts wanted to get a more unanimous ruling.

Additionally, the law in this case isn’t ill defined whatsoever. Alito, Thomas, and to a lesser extent Kavanaugh are just partisan hacks. For many years I wanted to believe they had a consistent and defensible legal viewpoint, even if I thought it was misguided. However the past six years have destroyed that notion. They’re barely even trying to justify themselves in most of these rulings; and via the shadow docket frequently deny us even that barest explanation.
by mcpherrinm | 2026-02-20 16:30:54+00:00
It does mean Unix timestamps. The blog post doesn’t have the full details.

You can read the RFC draft at https://datatracker.ietf.org/doc/html/draft-ietf-acme-dns-pe...

It says: CAs MUST properly parse and interpret the integer timestamp value as a UNIX timestamp (the number of seconds since 1970-01-01T00:00:00Z ignoring leap seconds) and apply the expiration correctly.
Show HN: Prothon – docs-first Python project generator for AI development
by jackedney | 2026-02-20 16:31:00+00:00
Prothon is a Python project generator that scaffolds a uv-based project with eight quality tools (ruff, ty, pytest, hypothesis, mutmut, bandit, vulture, complexipy) and a documentation-driven workflow for AI coding agents.

The problem it solves: AI assistants lose context between sessions and drift from your decisions as context windows fill up. Prothon addresses this with three ideas:

1. A three-level doc hierarchy (SPEC, DESIGN, PATTERNS) where each level scopes a single concern and higher always overrides lower. The AI implements from these docs, not from memory. Each doc-writing step is a dedicated agent that refuses content belonging at another level.

2. Automated agents that keep things consistent: one cross-checks the three docs for contradictions, one generates reference skills from live documentation for your stack, one verifies code implements what the docs describe.

3. A "promise" system for execution. Before each task, the agent declares what files it will touch, success criteria, and expected line counts. The promise is verified against the actual git diff. This makes context drift measurable rather than something you notice after the fact.

CLI:

```
prothon new # scaffold from template
prothon init # add to existing project
prothon spec # requirements Q&A
prothon design # architecture Q&A
prothon patterns # conventions Q&A
prothon execute # plan, promise, build
prothon compliance # verify code vs docs
```

Built on copier, so existing projects can pull upstream template improvements. Currently targets Claude Code, designed to be agent-agnostic.

https://prothon.dev
https://github.com/jackedney/prothon
by gymbeaux | 2026-02-20 16:31:19+00:00
I would challenge that by saying SO MANY "software engineers" are net-negative producers, be it offshore teams in Asia or Eastern Europe or U.S. citizens. Partially a result of coding bootcamps. The recent tech layoffs in ~2022 that we are still reeling from is further evidence that maybe we don't need H-1B for software engineering roles. Medical? Absolutely.
by csunoser | 2026-02-20 16:31:28+00:00
I have used both (albeit 2 years ago, and things change really fast). At the time, Candle didn't have 2d conv backprop with strides properly implemented. And getting Burn running libtch backend was just a lot simpler.

I did use candle for wasm based inference for teaching purposes - that was reasonably painless and pretty nice.
by tracker1 | 2026-02-20 16:31:42+00:00
Just a thought.... I would think that "refunds" in the form of US Bonds with varying rates of maturity would probably be appropriate so as not to "shock" the system so to speak.

That said, I'm still a proponent of having the bulk of the federal budget based on tariffs and excise taxes. I don't like income and property taxes in general. I'd be less opposed to income taxes if there was truly a way to fairly leverage them, there simply isn't. VAT is at least more fair IMO. I also wouldn't mind a tax as part of leveraged asset loans (including cars/homes) with maybe a single exclusion for a primary residence and vehicle under a given price.
by somenameforme | 2026-02-20 16:31:45+00:00
An even more interesting one is that Ford was the first president to go on paid speaking tours after office. It's not like the 37 other presidents couldn't have also cashed in on the office in a similar fashion, but it was felt that such a thing would impugn the integrity of the office and also undermine the perception of somebody working as a genuine servant of the state.

There has most certainly been a major decline in values over time that corresponds quite strongly with the rise in the perceived importance of wealth.
by munk-a | 2026-02-20 16:32:26+00:00
OpenAI is not viable. OpenAI is spending like Google without a warchest and they have essentially nothing to offer outside of brand recognition. Nvidia propping them up to force AI training to be done on their chips vs. google in-house cores is their only viable path forward. Even if they develop a strong model the commitments they've made are astronomically out of reach of all but the largest companies and AI has proven to be a very low moat market. They can't demand a markup sufficient to justify that spend - it's too trivial to undercut them.

Google/Apple/Nvidia - those with warchests that can treat this expenditure as R&D, write it off, and not be up to their eyeballs in debt - those are the most likely to win. It may still be a dark-horse previously unknown company but if it is that company will need to be a lot more disciplined about expenditures.
by nerevarthelame | 2026-02-20 16:32:42+00:00
https://archive.is/zSyUc

To summarize, they rejected Nvidia's offer because they didn't want one outsized investor who could sway decisions. And "the company was also able to turn down Nvidia due to its stable finances. Hugging Face operates a 'freemium' business model. Three per cent of customers, usually large corporations, pay for additional features such as more storage space and the ability to set up private repositories."
by canjobear | 2026-02-20 16:32:59+00:00
> No concept of recursive "generations" in phrase structure grammars!

Not sure what you're getting at here. Generation in a CFG proceeds recursively until no more terminals can be rewritten. If "f" is a nonterminal then you'd keep rewriting just as in an L-system and you'd generate the strings you want just fine. Or is what is distinctive the fact that you can limit the number of "generations"? It seems you could simulate this in a CFG too.
Show HN: ForceVue
by slewisbennett | 2026-02-20 16:32:59+00:00
Problem: This was truly a "solve your own problems" situation. As a Product Manager, you are buried in meetings. Meetings with customers, prospects, vendors, stakeholders, the list goes on. You are also actively looking for market opportunities to innovate and drive that solution through funding, building, delivering, marketing, selling, adopting, and maintaining it. All of that requires two major capabilities: the ability to retain and recall everything you learn and do with the product at a moment's notice, and the ability to generate all of the documentation that supports the product lifecycle so you can deliver value. This problem gets amplified in smaller companies, where it just doesn't make sense to have a team of Product Managers, Product Owners, BAs; you have one Product Manager doing it all.

Solution: ForceVue is an AI-powered product strategy workspace that turns real inputs (research, interviews, competitive analysis, goals) into production-ready docs (PRDs, business cases, epics, etc.), with every AI suggestion traceable back to the evidence and outcomes that drove it.

Why it matters: No more worrying about "when am I going to have time to do real work?" Everything you need to define your product strategy, deliver value, and get customers to use it is at your fingertips. ForceVue is your product brain, collecting all your product learnings. It handles the grunt work of storage, recall, and product management documentation for you. The real work becomes those crucial conversations, learning about pain points you can solve and opportunities where a solution can make someone's life easier.
by krisoft | 2026-02-20 16:33:59+00:00
> so obviously Qualcomm that it seems silly for the article to call it “company 2”

Redactions / aliases are sometimes quite transparent. When policy dictates that it must happen they do it even when it is not hard to puzzle out who the redaction / alias hides.

There is the famous interview where the NTSB was interviewing an expert in relation to the Oceangate tragedy. The expert's name was redacted, but he was described as "Co-Designer / Pilot of the Deepsea Challenger" which is already quite a specific thing. Not a lot of people can claim that. And then the interview started like this:

Q: So how did you get yourself started into submersible operations?
<redacted>: Well, I'm sure you are familiar with my film Titanic.

I'm leaving the solution as an exercise for the reader. But it is a real world "Lisa S. No, that's too obvious. Uh, let's say L. Simpson." situation.
by altmanaltman | 2026-02-20 16:34:19+00:00
Kind of meaningless if you let "taste" be a vaguely-defined term. Like, what do you mean by "taste"? How is it a differentiator? Does Apple have taste? Is the reason one open source app is better than the other because the devs of the first one have more "taste"?

Seems like a philosophical article, but rather than exploring it deeply, it kind of just abandons it at the "hey man, everyone can create apps, so you better have that taste, aaight?" paradigm which is dangerously close to just common sense.
by SV_BubbleTime | 2026-02-20 16:34:42+00:00
Were cat toys not made in the US? Especially if you were to factor and $18 delta?

Sorry, but tariffs on aluminum or steel that is only made in China or microchips or components. I think that’s a valid discussion to have. … you’re complaining about disposable cat toys that were likely made in a sweat shop where the workers were not making a livable wage and then putting in a container on a ship burning crude oil and pushed around the world so you can have some junk that was a couple dollars cheaper than a domestic option?

Not the same thing.
by palmotea | 2026-02-20 16:34:54+00:00
Also, Sam Altman (at least) gives the impression of being a bit of a manipulative psychopath. Even if there are others out there like him, who are just more competent at hiding their tendencies, I really don't want him to win the "world's richest man" jackpot; it'd be a bad lesson to others. Steve Jobs hero-worship is bad enough.
by logicallee | 2026-02-20 16:35:04+00:00
Torrents require users to download and install a torrent client! In addition, we would like to retain the possibility of giving live updates to the latest version of a sovereign fine-tuned file, torrents don't autoupdate. We want to keep improving what people get.

Finally, we would like the possibility of setting up market dynamics in the future: if you aren't currently using all your ram, why not rent it out? This matches the p2p edge architecture we envision.

In addition, our work on WebGPU would allow you to rent out your gpu to a background tab whenever you're not using it. Why have all that silicon sit idle when you could rent it out?

You could also donate it to help fine tune our own sovereign model.

All of this will let us bootstrap to the point where we could be trusted with a download.

We have a rather paranoid approach to security.
by senko | 2026-02-20 16:35:12+00:00
This matches how LinkedIn feeds and thougth-leadership-pieces looked even before AI.

It's not just AI generated -- it's human slop. And here's the kicker: people believe it works.

The reality is simple. People try to sound smart so they can sell something. They don't know how to write. Don't care. Don't have time. They use the tool at hand. They copy-paste.

The result? Devastating.

(this comment guaranteed written by a human)
by jcgrillo | 2026-02-20 16:35:18+00:00
If someone hooks up an LLM (or some other stochastic black box) to a safety critical system and bad things happen, the problem is not that "AI was unsafe" it's that the person who hooked it up did something profoundly stupid. Software malpractice is a real thing, and we need better tools to hold irresponsible engineers to account, but that's nothing to do with AI.

AI safety in and if itself isn't really relevant, and whether or not you could hook AI up to something important is just as relevant as whether you could hook /dev/urandom up to the same thing.

I think your security analogy is a false equivalence, much like the nuclear weapons analogy.

At the risk of repeating myself, AI is not dangerous because it can't, inherently, do anything dangerous. Show me a successful test of an AI bomb/weapon/whatever and I'll believe you. Until then, the normal ways we evaluate software systems safety (or neglect to do so) will do.