MurphyA/hacker-news huggingface dataset:
by someNameIG | 2025-12-20 00:18:01+00:00
> using a fork like Mullvad or Waterfox. Those are going to keep all these AI features out. So what do we privacy maximalists care? The forks give us exactly what we want.

The thing is most of the forks are still using some/all of the on device ML models, they're just not advertising them as AI. From Waterfoxs announcement of "Not using AI*"

>The asterisk acknowledges that “AI” has become a catch-all term. Machine learning tools like local translation engines (Bergamot) are valuable and transparent. Large language models, in their current black-box form, are neither.

https://www.waterfox.com/blog/no-ai-here-response-to-mozilla...

Zen:

> Based on Firefox, Zen also inherit its translation features

https://docs.zen-browser.app/user-manual/translate
by eduardogarza | 2025-12-20 00:18:19+00:00
I use this for booting up S3-compatible buckets for local development and testing -- paired up with s5cmd, I can seed 15GB and over 60,000 items (seed/mock data) in < 60s... have a perfect replica of a staging environment with Docker containers (api, db, cache, objects) all up in less than 2mins. Super simple to set up for my case and been working great.

Previously I used LocalStack S3 but ultimately didn't like the lack of persistance thats not available on the OSS verison. MinIO OSS is apparently no longer maintained? Also looked at SeaweedFS and RustFS but from a quick reading into them this once was the easiest to set up.
by culi | 2025-12-20 00:18:48+00:00
While not quite as small as 3kb, I recently found this incredible library called html-to-image that's only 300kb. It clones whatever subtree of your document you want to a <foreignObject> inside an svg which then allows it to output canvas, png, svg, pdf, blob, jpeg, etc. Even more impressively is that it handles custom fonts, pseudo-elements, computed styles and more.

https://github.com/bubkoo/html-to-image

It's probably the most impressive and seamless experience I've had with converting HTML to pdfs/images so I just wanted to sing its praises here
by nis0s | 2025-12-20 00:19:41+00:00
How does the ownership class lose benefits under Medicare for All (MFA)? What does ownership class mean? Let’s compare China and U.S., the former has near universal healthcare, but also an unemployment rate of 20%. The U.S. spends more on Medicare than it does for Defense, and the bulk of that money goes to the healthcare industry in all its forms. They don’t touch the healthcare industry function because it’s the largest employment sector in the U.S., and comparably robust for employment even during periods of economic downturn, see the current 4.6% unemployment rate. If we did get MFA in the U.S., you can expect job cuts in the healthcare industry. So the U.S. gets by with paying for Medicare and Defense, and the balance to this is state-based healthcare, and something like ACA subsidies, while ensuring a relatively low unemployment rate.

I also don’t understand how in your example MFA results in lesser healthcare for wealthy people, that hasn’t been the case in any country with universal healthcare programs.

Let’s also examine the geopolitical angle in all this. The U.S. healthcare system is increasingly made a political issue as a way to induce societal pressure to reduce defense spending, and allocate it elsewhere. I am not taking any stance on this, but this point is often ignored for any number of reasons.
by jeroenhd | 2025-12-20 00:19:55+00:00
I have to ask, like with all the other browser specific trial implementations: how is cross platform support? If we wanted to make a grid layout that only worked in one browser engine, grid-template-rows: masonry was there for a while now.

Chromium still seems to be working on support it seems based on https://cr-status.appspot.com/feature/5149560434589696 so maybe it'll be useful soon? That page indicates that they're still discussing certain parts of the spec.
by bediger4000 | 2025-12-20 00:21:02+00:00
Don't fall for that. Jackson is dead, and all but a convicted sex offender when he was alive. He's an easy one to leave unredacted.

Unredacted Jackson gives Leavitt and the Trumpist podcasters something to praise: some percentage of photos have an unredacted face in them. DoJ are doing their job!
by delusional | 2025-12-20 00:21:37+00:00
> just ask any software engineer about what’s happening to their profession

I'm a professional developer, and nothing interesting is happening to the field. The people doing AI coding were already the weakest participants, and have not gained anything from it, except maybe optics.

The thing that's suffocating is the economics. The entire economy has turned its back on actual value in pursuit of silicon valley smoke.
by krackers | 2025-12-20 00:22:39+00:00
LLMs currently seem to be very myopic in their planning. Current benchmarks that are being targeted such as SWEbench all reward short-term correctness and completeness, without taking into account long-term refactorability.

In fact, the two are in a sense at odds with each other: refactoring things sometimes means explicitly _disobeying_ the user prompt to "get things done", and going on a side-quest to clean things up. You could manually prompt the LLM to go out and refactor things, but doing that requires _you_ to read the code and identify places that seem suboptimal.
by AStrangeMorrow | 2025-12-20 00:23:08+00:00
Obviously much simpler Neural Nets, but we did have some models in my domain whose role was to speed up design evaluation.

Eg you want to find a really good design. Designs are fairly easy to generate, but expensive to evaluate and score. Understand we can quickly generate millions of designs but evaluating one can take 100ms-1s. With simulations that are not easy to GPU parallelize. We ended up training models that try to predict said score. They don’t predict things perfectly, but you can be 99% sure that the actual score designs is within a certain distance of said score.

So if normally you want to get the 10 best design out of your 1 million, we can now first have the model predict the best 1000 and you can be reasonably certain your top 10 is a subset of these 1000. So you only need to run your simulation on these 1000.
by metadope | 2025-12-20 00:23:27+00:00
> Amazing how many people get bamboozled by such a simple word trick though.

That's what makes me uneasy about (the little I know of) EA.

Altruism can and does stand alone as a simple human concept (or meme, expressed in English). 'Effective' has got nothing to do with it. On its own, altruism is binary. You either give a thought to the well-being of your fellow man, or you don't. You either concern yourself with the world, or stay as self-centered as you were when you were screaming for attention from the center of your crib.

Adding the word 'effective' is a dilution and distraction from the original bit, and transforms it into a kind of creeping featurism. It invites analysis paralysis. It exhibits premature optimization.

Start by expending a little bit of spiritual energy towards actually becoming altruistic, then we can maybe graduate to an advanced degree in pursuit of effectiveness.

Because a cynical (experienced) person might suspect that the stipulated quest for effectiveness is a semi-conscious avoidance, a delaying tactic meant to push away the pain of subsuming the Self in favor of (undeserving? incoherent? ineffective?) Other.

Harsh thought, yeah, but you'd be amazed what human beings will do to avoid actual spiritual growth.

It seems to me to be a worthy goal for a human, to be altruistic. Like becoming mindful or developing empathy or meditating on the meaning of life. The pain of being ineffective is the baptism of fire. As soon as you consider the needs of others, you realize how powerless you are, in the face of all that need out there. But still you stretch for the goal.

What if I told you that the best and most proven way to effectuate some altruistic goal was to get down on your knees and pray?

No?

Alright, then, how about I send you to Pema Chödrön[0] and invite you to become a bhodisatva, contemplating all beings and sending them love and well-wishes through simple meditative practice?

Believe it or not, both of those practices can be very effective, but their effect will be on you, as you leave the crib behind and expand and extend your ability to consider the well-being of others.

Don't worry about being effective. Just be altruistic. Anybody who invites you to be effective first is just diverting you away from your altruism.

[0] https://www.shambhala.com/pema-chodron/
by filldorns | 2025-12-20 00:23:32+00:00
To speak of Black love is not just to speak of romance. It's to speak of history, of survival, and of everything that has been denied to us throughout time. For Black people, love has never been simple. Amidst silences, symbolic and affective violence, we learn early on to distrust affection, to protect ourselves even before feeling it.

This text is born from this sensitive place. From the recognition that fear doesn't arise from nothing; it is taught, inherited, and reinforced. Fear of surrendering, of being rejected, of not being enough. Fear of loving and, above all, of being loved.

“Who's Afraid of Black Love?” is not an accusation, it's an invitation. An invitation to reflection, to care, and to courage. Courage to face our wounds, to question imposed narratives, and to claim the right to live more just, light, and whole relationships.

Because Black love exists. It resists, heals, and flourishes. And perhaps the greatest revolutionary act is precisely this: allowing oneself to love without apologizing for who one is.
by jeroenhd | 2025-12-20 00:25:58+00:00
Not without being able to use the ? operator.

The closest thing I can think of that will let you return a result from within a separate scope using a set of foo()? calls would be a lambda function that's called immediately, but that has its own problems when it comes to moving and it probably doesn't compile to very fast code either. Something like https://play.rust-lang.org/?version=stable&mode=debug&editio...
by re-thc | 2025-12-20 00:26:46+00:00
> If you could predict a stock market correction before it happens, you'd be very, very rich.

Same goes for if you can predict the price of a stock... but analysts do it anyway and set targets for stocks.

> The fact that corrections sometimes happen does not negate the existence of market-wide expectations for any given stock.

The crash or not is part of the expectation. Regardless of what you read on articles, those fund managers often sit out situations they don't deem worthy of investing.
by fragmede | 2025-12-20 00:26:53+00:00
Masters of what though?

Steve Jobs wrote code early on, but he was never a great programmer. That didn’t diminish his impact at all. Same with plenty of people we label as "masters" in hindsight. The mastery isn’t always in the craft itself.

What actually seems risky is anchoring your identity to being the best at a specific thing in a specific era. If you're the town’s horse whisperer, life is great right up until cars show up. Then what? If your value is "I'm the horse guy," you're toast. If your value is taste, judgment, curiosity, or building good things with other people, you adapt.

So I’m not convinced mastery is about skill depth alone. It's about what survives the tool shift.
by AnimalMuppet | 2025-12-20 00:28:01+00:00
You could avoid that by having a government with limited powers - limited enough that the voters could not use those powers to seize others' rights and property.

We had an imperfect, but still pretty good, example of that. Had. It's been eroding for a while now. But it's eroded the fastest under the current administration, which has tried very hard to overrun all the limits on power, and has succeeded far too often for me.
by jp8585 | 2025-12-20 00:28:14+00:00
We have a full page on the methodology we used! Let me know if you’d like access to the dataset we created for this. The aim was not to be scientific but to flush out some deeper meanings from these interviews that typical nlp techniques struggle with. Ps: Of course we used llm tools as a writing aid, I’d be willing to bet those “signals” probably come from my own writing though and my appreciation of Tom Wolfe. I’ve been told it can be “sloppy” sometimes.
by wyldfire | 2025-12-20 00:29:15+00:00
> also fairly free with good usage limits.

But doesn't it need to have such free usage in order to overcome image problems? Referring to itself as a Nazi [1][2] for example.

[1] https://www.npr.org/2025/07/09/nx-s1-5462609/grok-elon-musk-...

[2] https://www.politico.com/news/magazine/2025/07/10/musk-grok-...
by bubbasugga | 2025-12-20 00:29:50+00:00
as a german i can confirm that this happens very frequently (way more often than you think). usually it's politicians who file police reports which get prosecuted most of the time. i believe the last government (left wing coalition) built up massive infrastructure to prosecute such offenses. politicians in germany get special protection in terms of speech laws. §188 StGB allows the state to prosecute you severely, even without a private complaint from the politician in some cases.
by void-star | 2025-12-20 00:29:52+00:00
I think maybe you’re reading this wrong. Reverse-engineering blog posts like this are just a fun and instructive way of telling the story of how someone did a thing. Having written and read a bunch of these in the past myself, I found this one to be a great read!

Edit: just want to add, the “how I got the firmware” part of this is also the least interesting part of this particular story.
by sipofwater | 2025-12-20 00:30:24+00:00
NFS server on an Android smartphone without root access, "Testing: Termux, proot-distro, Network File System (NFS): https://gist.github.com/NoteAfterNote/e1719f4029b91918d99621... (gist.github.com/NoteAfterNote/e1719f4029b91918d996216939d5bff2)
by ensemblehq | 2025-12-20 00:30:37+00:00
Have you tried using non-LLM based methods? Like starting with something rules-based and working through a layered multi-model setup?

That’s what we’ve been using for document extraction where accuracy needs precision (capital markets documents, medical assessments). We had a go at pure LLM with medical documents but the output was poor and felt like it would take substantial investment to create something more robust.
by msukhareva | 2025-12-20 00:31:10+00:00
Gartner just published a guide to burning AI budget.

It is called “Top 10 Strategic Technology Trends for 2026.”

In the next weeks it will land on every CIO and CTO desk, get copied by every consulting PPTX factory, and then get digested by LLMs, so yes, inevitably also by Deloitte (if you know what I mean;-))

And then it becomes the AI strategy for the next three years.

I wrote an AI realist article where I went through the trends, checked the sources, and added research and arguments for why following this list as a roadmap is one of the fastest ways to spend your budget, get no measurable ROI, and in some cases even incur net losses.
by DGoettlich | 2025-12-20 00:31:29+00:00
thanks. i think this just took on a weird dynamic. we never said we'd lock the model away. not sure how this impression seems to have emerged for some. that aside, it was an announcement of a release, not a release. the main purpose was gathering feedback on our methodology. standard procedure in our domain is to first gather criticism, incorporate it, then publish results. but i understand people just wanted to talk to it. fair enough!
by frizlab | 2025-12-20 00:32:14+00:00
I would love to be able to say the same but I’m literally the only last person in the company still not using AI to code (if anything for ethics reasons, but I also truly do not need it at all), and I am obviously not the only good dev in the company. The gain is highly debatable (especially in delivery, I do not trust self-reports), however there have been recent reports of morale improvement since using AI, so at least there’s that.
by CamperBob2 | 2025-12-20 00:32:35+00:00
That's what the example code at https://old.reddit.com/r/StableDiffusion/comments/1pqnghp/qw... generates. You get 0.png, 1.png ... n.png, where n= the requested number of layers-1.

It'll drop a 600W RTX 6000 to its knees for about a minute, but it does work.
by godshatter | 2025-12-20 00:33:13+00:00
> - Start accepting small individual donations solely for the Firefox team (rather than generalized Mozilla stuff that goes on anything but Firefox). > > - Start crowdfunding for features.

Just these two things would make me happy (assuming the crowdfunding goes to the Firefox team as well).

I don't know any of the Mozilla execs but from the outside it looks an awful lot like some grifters were attracted to the free Google money and took money from the people doing the actual work.

If I'm wrong, my apologies. There just seems to be a lot of high salaries and a lot of developer layoffs.
by asveikau | 2025-12-20 00:33:47+00:00
My daughter wanted a book that was kindle exclusive in the US, and I found I could purchase an epub from another store by paying in euros and claiming to live in Europe. Needless to say I did this without a VPN and without leaving San Francisco. The book was still in English.

But I wonder if the reason for that little hoop was because of Kindle Unlimited.
by Majromax | 2025-12-20 00:34:34+00:00
> "it's more efficient if you ignore the part where it's not"

Even when you include training, the payoff period is not that long. Operational NWP is enormously expensive because high-resolution models run under soft real-time deadlines; having today's forecast tomorrow won't do you any good.

The bigger problem is that traditional models have decades of legacy behind them, and getting them to work on GPUs is nontrivial. That means that in a real way, AI model training and inference comes at the expense of traditional-NWP systems, and weather centres globally are having to strike new balances without a lot of certainty.
by WhyOhWhyQ | 2025-12-20 00:35:09+00:00
I won't insult the man, but I never liked Steve Jobs. I'd rather be Wozniak in that story.

"taste, judgment, curiosity, or building good things with other people"

Taste is susceptible to turning into a vibes / popularity thing. I think success is mostly about (firstly just doing the basics like going to work on time and not being a dick), then ego, personality, presentation, etc... These things seem like unfulfilling preoccupations, not that I'm not susceptible to them like anyone else, so in my best life I wouldn't be so concerned about "success". I just want to master a craft and be satisfied in that pursuit.

I'd love to build good things with other people, but for whatever reason I've never found other people to build things with. So maybe I suck, that's a possibility. I think all I can do is settle on being the horse guy.

(I'm also not incurious about AI. I use AI to learn things. I just don't want to give everything away and become only a delegator.)

Edit: I'm genuinely terrified that AI is going to do ALL of the things, so there's not going to be a "survives the shift" except for having a likable / respectable / fearsome personality
by mothballed | 2025-12-20 00:35:53+00:00
If you have that you are 99% of the way there.

Those anti-democratic limits are where the devil lies. I think that they can only stay intact indefinitely by having competition for governance. Part of a reason why I'm a proponent of polycentric law, so that a single monopoly of governance can't slowly crush the populace.

Once the majority realizes they can't tyrannize the minority because the minority can run away and work under their own system of law, a balance might be found. Under such a system there is no monopolistic democracy, but people might voluntarily enter into one until they find their rights too suppressed.
by xg15 | 2025-12-20 00:37:25+00:00
Freeform JSON not so much I think, but if you combine it with a schema and strict whitespace/formatting rules, you could get quite a few.

I think there are lots of boilerplate sequences like '":{' or '":[' or '", "', etc - though they might already be compressed into a single token if the tokenizer was trained on enough JSON.

There are also situations where the schema would only allow a specific field name as the next token, e.g. if it was the only remaining valid and required field, or if fields have to be output in a specific order.
by Majromax | 2025-12-20 00:39:16+00:00
Google Research and Google DeepMind also build their models for Google's own TPU hardware. It's only natural for them, but weather centres can't buy TPUs and can't / don't want to be locked to Google's cloud offerings.

For Gencast ('WeatherNext Gen', I believe), the repository provides instructions and caveats (https://github.com/google-deepmind/graphcast/blob/main/docs/...) for inference on GPU, and it's generally slower and more memory intensive. I imagine that FGN/WeatherNext 2 would also have similar surprises.

Training is also harder. DeepMind has only open-sourced the inference code for its first two models, and getting a working, reasonably-performant training loop written is not trivial. NOAA hasn't retrained its weights from scratch, but the fine-tuning they did re: GFS inputs still requires the full training apparatus.
by omosubi | 2025-12-20 00:39:16+00:00
I have tried a lot of breathwork techniques lately and Buteyko is very good. One thing I always tell people that sit and slouch a lot is that your diaphragm is probably very tight (the same way your quads/hamstrings/etc can get tight). breathing exercises are very good for loosening it up, which, at least for me, have had a very positive impact on my health and wellbeing.
by sergeyk | 2025-12-20 00:39:48+00:00
Our foundational design value was compute instance startup speed. We've made some design decisions and evaluated several "neocloud" providers with this goal in mind.

Currently, from launching an agent to that agent being able to run tests in our Rails docker-compose environment (and to the live app preview running), is about 30 seconds. If that agent finishes their work and goes to sleep, and then hours later you come back to send a message, it'll wake up in about the same time.

(And, of course, you can launch many agents at once -- they're all going to be ready at roughly the same time.)
by TheAmazingRace | 2025-12-20 00:40:33+00:00
Holy cow. Again, kudos for the details. This has been a fantastic digression so far lol.

So I do strongly remember Sound Blaster cards, specifically of the SB16 variety, being jokingly referred to as “Noise Blasters” for quite some time, due to the horrible noise floor they had as well as all the hiss. One of the reasons I loved the AWE64 Gold was because Creative did manage to get that well under control by that point, along with other fixes introduced with DSP 4.16. I still have an AWE64 Gold in my collection, complete with the SPDIF bracket, that I will never sell, due to sentimental reasons.

The YMF724 card you mentioned… did that happen to have coaxial SPDIF perchance? I heard that, unlike the SPDIF implementation found on the AWE series cards from Creative, the YMF724 SPDIF carried all audio over it, even under DOS. Not just 44.1 kHz specific sound, which I believe Creative sourced from the EMU8k. Plus, as an added bonus, if your motherboard offered SBLINK (also known as PC/PCI), you could interface with the PCI sound card interrupts directly in DOS without memory-hogging TSRs.

As for my final sound card I ever owned before abandoning them, mine was the rather unique ESI Juli@ back in the 2011/2012 timeframe. I loved how the audio ports had a zany breakout cable for MIDI and RCA features, as well as the board that could flip around for different style jacks.

One other remark that leads to a question. Linux users back in the day had a penchant for choosing one audio API over the other in Linux, like ALSA, OSS, or PulseAudio. Did you play around much with these in the dog days of Linux?