MurphyA/hacker-news huggingface dataset:
by claythedesigner | 2026-03-07 00:47:09+00:00
The piece hit differently, reading it as someone who is autistic. The anxiety the author describes, having your natural way of communicating flagged as wrong and being pressured to sand down the parts of yourself that are most distinctly you, that's not a new problem for a lot of us.

Neurodiverse people have been running this gauntlet forever. Your pacing is too flat or too intense. Your vocabulary is too formal or too casual. You don't make eye contact correctly. You're either masking so hard you're invisible, or you're visibly yourself, and people assume something is broken.

The bitter irony the author lands on: the only way to seem human is to pass your writing through an LLM. That maps onto something a lot of us already live. The only way to seem normal is to perform a version of yourself that isn't quite you.
by sfRattan | 2026-03-07 00:47:10+00:00
> perceiving entirely new UIs

I think this experience is now rare if you are computer-adept, though it was more common even just a few decades ago. But the first thing I do when I see a totally unfamiliar UI is stare at it for a bit until I think I understand the information hierarchy. And then try to verify that understanding by clicking things. Eventually I acquire that "perceiving the screen as a whole feeling", but I still suspect that it's something resembling the human vision process generally, under the hood of conscious perception.
by sho_hn | 2026-03-07 00:47:26+00:00
Just to manage expectations: Big Screen is a fairly old project at this point, that has always had a relatively small number of people showing it some love (though I understand recently there's been an uptick again). This is not a new product announcement from us, nor a key focus of the community. That is not the disparage the work being done there in any way, but this most likely isn't quite Kodi just yet.
by ynac | 2026-03-07 00:48:46+00:00
Same here - it's like programming with a couple of buddies. Occasionally they goof off and wreck everything, but we put it back together and end up with a finished project. I'm literally going through my backlog of projects from the early 80s! There are parts of each of these projects that were black holes for me - just didn't know enough to get a toe hold. With Karl (that's my agent) he explains everything I don't understand, does stuff, breaks stuff, and so on. It's really a blast.
by JuniperMesos | 2026-03-07 00:48:56+00:00
Basically no one has been made poorer by the existence of Amazon, a company that mainly sells cheap consumer goods (or cloud compute) to the masses. The small number of people who have been made poorer by the existence of Amazon are people in the upper 5% or so of American wealth who owned a consumer-facing business that got out-competed by Amazon, and by definition that means that a much larger number of generally-poorer people benefitted because Amazon fulfilled their wants and needs better than the other business did.
by 20k | 2026-03-07 00:49:12+00:00
The problem with these long videos is that what I really want to see is what questions were asked of it, and the accuracy of the results

Every time I ask LLMs questions I know the answers to, its results are incomplete, inaccurate, or just flat out wrong much of the time

The idea that AI is an order of magnitude superior to coders is flat out wrong as well. I don't know who he's talking to
Show HN: I wrote an LLM inference engine in pure Go – 48 tok/s zero dependencies
by computerex | 2026-03-07 00:49:20+00:00
dlgo is a pure Go deep learning inference engine. It loads GGUF models and runs them on CPU with no dependencies beyond the standard library (SIMD acceleration is optional via CGo).

I built this because I wanted to add local LLM inference to a Go project without shelling out to Python or linking against llama.cpp. The whole thing is go get github.com/computerex/dlgo and you're running models.

It supports LLaMA, Qwen 2/3/3.5, Gemma 2/3, Phi-2/4, SmolLM2, Mistral, and Whisper speech-to-text. Architectures are expressed as a declarative per-layer spec resolved at load time, so adding a new model family is mostly just describing its layer structure rather than writing a new forward pass.

Performance on a single CPU thread with Q4_K_M quantization: ~31 tok/s for LLaMA 3.2 1B, ~48 tok/s for Qwen3 0.6B, ~16 tok/s for Qwen3.5 2B (which has a hybrid attention + Gated Delta Network architecture). Not going to beat llama.cpp on raw speed, but it's fast enough to be useful and the ergonomics of a native Go library are hard to beat.

Supports 25+ GGML quantization formats (Q4_0 through Q8_0, all K-quants, I-quants, F16, BF16, F32). The GGUF parser, dequantization, tokenizer, forward pass, and sampling are all implemented from scratch.

Code: https://github.com/computerex/dlgo
by Ajakks | 2026-03-07 00:51:02+00:00
Your point #4 is whats wrong here.

Millenials have aged.

We dont care enough to be bleeding hearts - so there best be no political conversation, bc we don't want to care.

There is a slice of us that refuse to even like interact with AI -> bc they are afraid of it, either taking their jobs or becoming Skynet - I have no idea.

If more interacted with AI they would realize AI is - maybe we would have more startups again, more personal projects - the majority of people on this platform have access now to something that renders solo/small team projects much, much more plausible -> so, where are they?

That you think AI is such a limiting thing is exactly what I mean.

HN is not more close minded - the People here are. Slowly becoming the boomers for Gen Alpha/Beta to hate.
by sfRattan | 2026-03-07 00:51:26+00:00
There's also The Lost Regiment[1] series, about a Maine regiment from the American Civil War transported to an alien planet. They discover that medieval Russian peasants were previously transported there and now live as serfs/peasants under nomadic alien warlords (IIRC the aliens periodically cull the humans there for food). The Union boys, in tremendously fun if a bit predictable style, lead a peasant rebellion against the aliens.

[1] https://en.wikipedia.org/wiki/The_Lost_Regiment
by _heimdall | 2026-03-07 00:52:44+00:00
Is it really? Electric vehicles require a lot of resources to produce, and those resources are produced globally and shipped overseas multiple times. The batteries are only expected to hold up for 7-10 years, ask my 2014 Volt how the hybrid battery pack is doing.

I get that a change in lifestyle is more difficult for the individual than a change in what we are buying. My point, though, was that only the former is going to have a much greater impact.
by mullingitover | 2026-03-07 00:52:48+00:00
That's a lot of contortions to go through to avoid the clear Occam's Razor conclusion that these people are simply evil scumbags doing evil scumbag things. Bombing hospitals because they thought they contained wounded troops isn't a defense, that's a whole war crime of its own!

They have an extremely long track record of committing atrocities. You don't need to go out of your way to give them the benefit of the doubt, unless you're literally in Russia where they'll imprison you for telling the truth about what they're doing.
by godelski | 2026-03-07 00:53:07+00:00
This is really cool and I'd love to see TVs ship with it. There's a lack of innovation these days and I think the only way to bring it back is to recognize that computers are environments and people need to be able to build on them. With TVs becoming more powerful this could be a big win.

Make it easy so my aging tech illiterate parents can use it (looks like it does the job, at least as well as any other) but also hackable for people like us, to fix bugs and drive innovation.

My TV is currently a monitor for my computer, so something like this even works for me in the same way steam big picture does. For work, I ssh in. One thing that helps is I use ydotool and my phone and laptop can easily be a keyboard
by 20k | 2026-03-07 00:54:34+00:00
This mentality is fundamentally why I think AI is not that useful, it completely underscores everything that's wrong with software engineering and what makes a very poor quality senior developer

I'll write an application without AI that has to be maintained for 5 years with an ever evolving featureset, and you can write your own with AI, and see which codebase is easiest to maintain, the most productive to add new features to, and has the fewest bugs and best performance
by hcmhcs0 | 2026-03-07 00:55:51+00:00
That's a really cool use case — OCR on emulated RPGs for language study! I didn't know Tesseract could handle pixel fonts. How well did it work?

I went with Apple's Vision and Translation frameworks since they were the easiest path for me, but the downside is it requires macOS 15+. I'm thinking about adding Tesseract as an alternative OCR engine to support older versions — sounds like it could work well enough!
by overgard | 2026-03-07 00:56:22+00:00
My feeling is that the code it generates is locally ok, but globally kind of bad. What I mean is, in a diff it looks ok. But when you start comparing it to the surrounding code, there's a pretty big lack of coherency and it'll happily march down a very bad architectural path.

In fairness, this is true of many human developers too.. but they're generally not doing it at a 1000 miles per hour and they theoretically get better at working with your codebase and learn. LLMs will always get worse as your codebase grows, and I just watched a video about how AGENTS.md actually usually results in worse outcomes so it's not like you can just start treating MD files as memory and hope it works out.
by jeffwass | 2026-03-07 00:56:25+00:00
I did a bunch of research on similar Tc superconductors back during my
PhD.

7K is considered “warm” from a cryogenics point-of-view because you can just dunk your sample into a dewar of liquid helium at 4.2K. You can even get it cooler, down to about 1K, using evaporative cooling techniques. [1]

It’s getting to lower temperatures than this when things start getting complicated. Eg a closed-cycle evaporative He3 system can get you down to 200 mK, or you can bite the bullet and use a dilution fridge down to around 10mK.

[1] https://en.wikipedia.org/wiki/1-K_pot
by socalgal2 | 2026-03-07 00:57:17+00:00
This sounds awesome but reading the comments it sounds not quite there yet?

Right now I use an AppleTV with Kodi installed via developer account. Unfortunately, Kodi on AppleTV is not well supported so it crashes a ton. I'm not much of an Apple dev. After much gnashing of teeth I managed to get a from source build running so I could maybe look into why it crashes and contribute but I've never debugged an AppleTV app and even trying to switch to using the simulator which I suspect is better for debugging, I couldn't figure it out.

But, quite often I just wish to get some other small box for Kodi. Except I don't want 2 boxes, one for Kodi and one for other proprietary apps (Crunchyroll, Twitch, Netflix, ...)

Any suggestions?
by theendisney | 2026-03-07 00:57:17+00:00
The soft sensitive people today have no idea how hard a condesending asshole has to work to live up to his own standards. When they do, one should still find something to troll them with. If you cant find it you complaint about the excessive border radius creating a child friendly fisherprice kind of environment. If that is the worse you can find they should agree and confess they have a fear of sharp edges.

How times have changed
by lumost | 2026-03-07 00:58:01+00:00
It's more about the size of the task I try to do, it's quite possible to get opus4.6 to one shot a "good" 30k loc change with the right planing doc. I'm not confident I could get similar results handholding. I also tend to want to know the major decisions and details in such a change up front rather than discovering them post-hoc.

This could simply be a matter of style however.
by D-Machine | 2026-03-07 00:58:27+00:00
> "ablation studies", by which it means removing random layers of an already-trained model, to find the source of the refusals(?)

This is not what an ablation study is. An ablation study removes and/or swaps out ("ablates") different components of an architecture (be it a layer, activation function, backbone, some fixed processing step, or any other component) and/or in some cases other aspects of training (perhaps a unique / different loss function, perhaps a specialized pre-training or fine-tuning step, etc) in order to attempt to better understand which component(s) of some novel approach is/are actually responsible for any observed improvements.

That being said, the "Ablation Strategies" [1] the repo uses, and doing a Ctrl+F for "ablation" in the README does not fill me with confidence that the kind of ablation being done here is really achieving what the author claims. All the "ablation" techniques seem "Novel" in his table [2], i.e. they could easily not work at all. From later tables, I am not convinced I would want to use these ablations, and they probably do result in massively broken models, as some commenters have noted in this thread elsewhere.

[1] https://github.com/elder-plinius/OBLITERATUS?tab=readme-ov-f...

[2] https://github.com/elder-plinius/OBLITERATUS?tab=readme-ov-f...
by vicchenai | 2026-03-07 00:58:48+00:00
We kept all our post-seed cash in a basic MMF for like a year before realizing how much yield we were leaving on the table. Honestly the hardest part wasn't finding better options, it was convincing our board that slightly less liquid != risky. Curious how you handle the liquidity communication with founders who might need to pull funds on short notice.
by alwillis | 2026-03-07 00:59:13+00:00
> So if your phone is infected, you have no way of knowing this, because there is no software that can scan it. You cannot trust it.

Not true. There are commercial apps that can scan your iPhone for vulnerabilities and exploits [1]. Apple goes through ridiculous lengths regarding security on their platforms [2].

> Memory Tagging Extension (MTE) Apple has implemented, but they have not released the specification.

It's based on the Memory Tagging Extension (MTE) added to the ARMv8.5 architecture in 2019, co-designed by ARM and Google [3]. MTE support has recently been added to Android 12+ and some Linux distros like recent Fedora and Ubuntu 24.04.

Apple's Memory Integrity Enforcement (MIE) is based on MTE. Now that Apple designs its own ARM-based processors, they used MTE as a starting point for Apple Silicon. The iPhone 17 series and the iPhone Air shipped with MIE enabled in September.

The point of these technologies is to enable software that hasn't been written in memory-safe languages (many millions of lines of C, C++, etc. that will never be rewritten) to run safely.

Although it's starting to change, the vast majority of the rendering engines used by Safari, Chrome, and Firefox are written in C/C++; so it makes sense to address potential browser vulnerabilities at the hardware level.

[1]: https://iverify.io/products/enterprise-protection

[2]: https://support.apple.com/guide/security/toc

[3]: https://www.usenix.org/system/files/login/articles/login_sum...
by jandrese | 2026-03-07 00:59:14+00:00
More commonly these days is the message that CO2 is plant food, and climate change is a nefarious plot to kill off the plants by starving them in order to reduce the Earth's population. I can dig up several tweets this week pushing that message.

It is a shame that Twitter's algorithm is so damn easy to manipulate that it's basically owned by propaganda firms now. Elon doesn't even care, more outrage == more engagement and that's what feeds the system. It's a feedback loop of crap.
by vicchenai | 2026-03-07 00:59:15+00:00
Anecdotally seeing this play out in SF right now. We're hiring for our fintech startup and getting 500+ applications per role, many from people at companies I would've assumed were stable. A year ago we struggled to get anyone to even look at us. The talent pool is incredible but man it feels weird benefiting from other people's misfortune.
by overgard | 2026-03-07 00:59:43+00:00
I'm using Claude every day, and it definitely makes me faster but.. I'm also able to give it a lot of very specific instructions and correct a lot of mistakes quickly because I look at the code and understand what it's doing; and I'm also asking it to write code in domains I understand. So I don't think these skills are obsolete at all. If anything, keeping them sharp is the only differentiator we have. "Agentic Engineering" is as much as joke as "Vibe Coding" is in my mind. The tools are powerful, but they don't make up for knowing how to code, and if you're just blindly trusting it it's going to end badly.
by jasonjayr | 2026-03-07 01:00:18+00:00
I'm on Debian bookworm, and a screenshot is one Meta-Shift-S -- I just highlight the region I want to capture, and I get a dialog prompting me to (with one click) copy to clipboard, save to file, or annotate. There's a handful of out-of-the-way options as well, depending on what exactly you want to do. What's --- so abominable about that?
by mgraczyk | 2026-03-07 01:00:37+00:00
Sure let's do it. I am pretty confident mine will be more maintainable, because I am an extremely good software engineer, AI is a powerful tool, and I use AI very effectively

I would literally claim that with AI I can work faster and produce higher quality output than any other software engineer who is not using AI. Soon that will be true for all software engineers using AI.
by hunterpayne | 2026-03-07 01:01:39+00:00
What you write is true but it is also a bit dishonest. You are culling the questionable ideas being signaled out of your explanation. Really no different from MAGA folks who claim Trump is playing 4D chess or people who defended Hans Reiser because he wrote a really great filesystem. People don't tend to believe things that they don't want to be true (even if they are). Specifically, the fact that people who use this jargon actively oppose meritocracy (and thus aren't actually liberals) but instead want a demographically based quota system for all jobs and positions. This is why they abuse statistics and reasoning so badly in their analysis.

If these people weren't able to influence local governmental policies, then it would be fine to leave out the details. However, they are and so leaving out the bad parts of the policies they push is just dishonest and why the other side's propaganda is working so well right now. The biggest problem with that is that it makes politics more extreme (in both directions) and this is generally bad for the rest of us. So next time, don't leave out the actual practical effects of this type of politics and its messaging.
by hcmhcs0 | 2026-03-07 01:01:48+00:00
Hi, I'm the author — a student developer. I've been really into AI agents lately and spend a lot of time reading system instructions and source code on OpenClaw. Problem is, my English isn't great, so I constantly needed to translate.

Switching to a Google Translate tab every time or asking an AI to translate broke my flow completely. So I built this to translate right where I'm working — no tab switching, no copy-paste.

Built with Claude Code over a weekend. Happy to answer any questions!
by exclipy | 2026-03-07 01:01:58+00:00
The specs are inscrutable agent slop. I want it to tell me what it does and instead it just lists database fields. It mentions a state machine and then proceeds to not describe the state machine.

If I wasn’t so attuned to agent slop, I’d be thinking I’m just too dumb to get it but no, whatever GPT model wrote this is not good enough (and the fact this was published by OpenAI suggests this is not an operator skill issue).
by ValentineC | 2026-03-07 01:02:11+00:00
> The biggest recording artist in the world right now had to re-record her early albums because she didn't own the copyright, imagine how many artists don't get that big and never have that opportunity.

Not only that, but Taylor Swift only could do so because she wrote the songs herself, and therefore had the composition copyright to her songs.

Most artists that were put together by the label don't have such a luxury.
by lazarus01 | 2026-03-07 01:02:14+00:00
< I enjoy writing code. Let me get that out of the way first.

< I haven’t written a boilerplate handler by hand in months. I haven’t manually scaffolded a CLI in I don’t know how long. I don’t miss any of it.

Sounds like the author is confused or trying too hard to please the audience. I feel software engineering has higher expectation to move faster now, which makes it more difficult as a discipline.

I personally code data structures and algorithms for 1 - 2 hrs a day, because I enjoy it. I find it also helps keeps me sharp and prevents me from building too much cognitive debt with AI generated code.

I find most AI generated code is over engineered and needs a thorough review before being deployed into production. I feel you still have to do some of it yourself to maintain an edge. Or at least I do at my skill level.
by vunderba | 2026-03-07 01:02:16+00:00
Thanks! Honestly? Initially very poorly.

What I ended up doing was generating around a dozen versions of a screenshot in realtime (all with different combinations of thresholding, segmentation parameters, resolution scaling, and denoising) behind the scenes. Then it would fire Tesseract off on all of them in parallel threads and let them “vote” on the result.

After I set that up, the accuracy improved significantly.

If you're looking for an alternative rather than Tesseract - I'd actually recommend Surya. I've had a lot of success with it out of the box with doing OCR on comics.

https://github.com/datalab-to/surya
by ziml77 | 2026-03-07 01:02:32+00:00
This is not at all just an LLM thing. I've been working with C# and MS SQL Server for many years and never even considered this could be happening when I use Dapper. There's likely code I have deployed running suboptimally because of this.

And it's not like I don't care about performance. If I see a small query taking more than a fraction of a second when testing in SSMS or If I see a larger query taking more than a few seconds I will dig into the query plan and try to make changes to improve it. For code that I took from testing in SSMS and moved into a Dapper query, I wouldn't have noticed performance issues from that move if the slowdown was never particularly large.
by overgard | 2026-03-07 01:02:59+00:00
> We can in fact just NOT do things!

100% this. I don't know why we think that pouring trillions of dollars into something we barely understand to create an economic revolution that is almost certainly awful is at all "inevitable". We just need leaders that aren't complete idiots. I'm generally cynical, but I do see that normies (ie not in tech) are waking up a bit. I don't think the technology is inherently a bad thing, but the people that think that we should just do this as fast as possible to win "the race" should be shot into space as far as I'm concerned. To start with, we need a working SEC that can actually punish the grifting CEO's that are using fear to manipulate markets.
by Paracompact | 2026-03-07 01:03:06+00:00
I'm not saying the author is self-important. I'm saying that their narrator comes across as self-important, independent of the subject matter. This is valuable feedback for a creative writer, and it depends on nothing more than my own impression as a reader. Although if I were to back it up, I would point to instances of melodramatic and murky language like, "You must cloak yourself with another’s guise, your true self never to shine forth."

> Not long ago we considered writing an art and its meaning was up to the reader to decided.

"Not long ago"? Not everyone in the past ascribed to death of the author, and not everyone in the present rejects it. But even so, evaluation of meaning is different from evaluation of merit. If an author only wants praise for their work, they would be advised not to post it publicly.