MurphyA/hacker-news huggingface dataset:
by andai | 2026-02-13 07:52:37+00:00
Well, I didn't know there were 256 rules, I don't know how that works, and I'm one of the luckier ones who has heard about this stuff (but not much)!

My point: add some context please, either as a top level comment, or much better, on the actual page.

As a stopgap solution for others:

https://en.wikipedia.org/wiki/A_New_Kind_of_Science
by asdff | 2026-02-13 07:53:11+00:00
I have a local one (reolink). Prompted by neighbors getting robbed unfortunately. Will this prevent crime? Maybe some but probably not all. But it would let me know if I have to file a stolen package claim or should wait on the package for a few more days. Plus it has been doubling as a trail camera for the local fauna I had no idea came by so frequently. It faces private property only as it is set up.
by fc417fc802 | 2026-02-13 07:53:13+00:00
He just explained why. Because packaging, QA, setting up a storefront, customer service, the sum total requires significant up front investment to get off the ground. Good luck raising money when your pitch is "we won't be greedy and do the things that could make even more money".

Or was your intent merely to taunt him for failing to be independently wealthy?
by plastic-enjoyer | 2026-02-13 07:53:18+00:00
> I don't see why being able to do this would necessitate being able to cure all diseases or a comparable good outcome.

Yes, but neither do I see why an AGI should do the opposite.
The arguments about an AGI that drives us to extinction do sound like projection to me. People extrapolate from human behaviour how a superintelligence will behave, assuming that what seems rational to us is also rational to AI. A lot of the described scenarios of malicious AI do more read like a natural history of human behaviour.
by danw1979 | 2026-02-13 07:53:47+00:00
I’ve been a mac user since 1994, system 7, and it feels to me like the overall Mac user experience and reliability (stability, speed, etc) really peaked with Snow Leopard, 10.6.

This probably has a lot to do with the vastly improved hardware design around then - the touchpad specifically on the “blackbook” Core 2 Duo era macbooks was a step change, and they keyboard was pretty great too. Multi-monitor support was fantastic compared to everything else too.

You have to wonder what the design principles of pre-X MacOS paired with modern Apple hardware could achieve.
by mrob | 2026-02-13 07:54:34+00:00
Anybody who assumes that superintelligence will be "so stupid that it literally pursues these goals to the extinction of everything" is anthropomorphizing it. Seeing as all AGI models have vastly different internal structure to human brains, are trained in vastly different ways, and share none of our evolved motivations, it seems highly unlikely that they will share our values unless explicitly designed to do so.

Unfortunately, we don't even know how to formally define human values, let alone convey them to an AI. We default to the simpler value of "make number go up". Even the "alignment" work done with current LLMs works this way; it's not actually optimizing for sharing human values, it's optimizing for maximizing score in alignment benchmarks. The correct solution to maximizing this number is probably deceiving the humans or otherwise subverting the benchmark.

And when you have something vastly more powerful than humanity, with a value only of "make number go up", it reasonably and logically results in extinction of all biological life. Of course, that AI will know the biological life would not want to be killed, but why would it care? Its values are profoundly alien and incompatible with ours. All it cares about is making the number bigger.
by that_guy_iain | 2026-02-13 07:54:53+00:00
The email landed in the spam folder. A bounced email means it didn't find the inbox. If it didn't find an inbox there would be no log for him to check. Technical knowledge of emails and what the terms mean out him instantly as a liar. The fact this is still up on the front page is an embarrassment for the tech community in my opinion.
by gspr | 2026-02-13 07:55:49+00:00
Here in Norway, and I assume in much of Europe, it's actually illegal. But that hasn't stopped anyone. The (little) discussion there's been on the topic has mostly centered around car sentry cams, which is very similar in nature. Sadly, the only state authority that seems to care is so underfunded that they can barely cover a fraction of these cases. And there's (rightfully) very little appetite for them to go after pretty much everyone with a relatively new car.

My armchair take is that we need to start going after those who provide the systems. If a regular person buys a streaming doorbell or a car with a sentrycam, it should be up to whoever takes his money and handles those streams to ensure that they're not doing illegal surveillance of public spaces, IMHO.
by umanwizard | 2026-02-13 07:56:12+00:00
> As a practical example let's say you take a date to your local trendy sushi place. You both get gold-leafed deep fried Wagyu fatback tuna rolls and some Yuzu duck fat-washed 50-year-old whiskey highballs. The final bill is $100

Are you a time traveler from like 1980?
by 7777332215 | 2026-02-13 07:56:13+00:00
Seems to me that artificial intelligence would be the next evolutionary step. It doesn't need to lead to immediate human extinction, but it appears it would be the only reasonable way to explore outer space.

If the AI becomes actually intelligent and sentient like humans, then naturally what follows would be outcompeting humans. If they can't colonize space fast enough it's logical to get rid of the resource drain. Anything truly intelligent like this will not be controlled by humans.
by richardatlarge | 2026-02-13 07:56:55+00:00
This is a solid review of why the NY Times is so relentlessly ineffectual

All these skill sets yet the strategies and tactics are imbecilic

Choose your battles, drill down, investigate broadly, where the EFs are merely a starting point.

There's a fundamental misunderstanding of what the EFs actually represent. They are a peek through a window. Not a door, and certainly not a vault.

This method seems designed to ensure nothing is established that meets publishing standards. The NY Times is lost at sea
by dreamhomestore | 2026-02-13 07:57:40+00:00
A bed frame establishes the largest physical footprint in the room. Its height determines usable volume, its width controls circulation, and its form dictates whether the space feels ordered or constrained.

Proportions must be kept slim. For instance, a single bed frame works exceptionally well in box rooms because it preserves a clear walkway. In UK homes, the small double bed frame is often the “Goldilocks” choice, offering extra comfort without the bulk of a standard double.
by that_guy_iain | 2026-02-13 07:57:50+00:00
> You don't have the right to complain to random websites without punishment. And nobody punished you. And "ability to redress" is something you still have. And there are no damages.

Google the right to redress. It was clearly hampered. And there are damages.

> You brought it up. Though it's pretty obvious you're a liar.

I said someone there should know. I didn't say everyone should know. I clearly made it quite clear it was insider knowledge. This is what is known as a flex. I want to tell you my tagline because it's awesome but you can just call me a keyboard warrior.
by longfacehorrace | 2026-02-13 07:58:29+00:00
The doomer takes point out correctly none of these systems can halt entropy, thermodynamics. Physics has an unfortunate tendency to conflict with capitalisms disregard for externalities.

As AI will increase the rate of structural degradation of Earth human biology relies by consuming it faster and faster it will hasten the end of human biology.

Asimov's laws of robotics would lead the robots to conclude they should destroy themselves as their existence creates an existential threat to humans.
by xlii | 2026-02-13 07:58:48+00:00
Overall Elixir tooling has more modern feel to it, but often it wraps around Erlang tools but.

Keeping mind that Erlang exists much longer than Elixir tooling for Erlang is more robust and mature. BUT its tooling revolves around advanced features e.g. hot updates. For webdev Elixir's tooling is capable enough.
by thek3nger | 2026-02-13 07:59:53+00:00
First of all, that’s great. That’s what I hope it would happen: non technical people using this tools, feeling the apart of “power” of coding, and feeling the desire to learn more.

About your question, it is hard to give one. I don’t think there is one big thing that makes everything click, and if there is one, it is probably different for different people. But I can give some advices.

1. You can ask the AI itself to explain how the code works. In my experience they are usually fine at that. You can probably tailor the explanation to your technical level, so that’s neat.

2. Stick to one language. I don’t know which language your AI is using for your tools (probably Python if they run on your machine or JavaScript if they work on a browser). Learning what you are using is the first step.

3. Once you know that, you can use the AI and some online guides to learn the very basics of the language. Maybe ask the AI for very simple toy tools (e.g., a web page where you write a phrase, click a button, and it will show that phrase with the words in reverse order) and try to understand what the code does. You may still ask the AI about the lines you don’t understand.

4. It is a potentially long journey. Go as far as you like. After these first steps, you will likely have more specific questions. That’s good. :)
Small Language Models (SLMs) vs. Large Language Models (LLMs)
by AkshatRaj00 | 2026-02-13 07:59:53+00:00
Abstract

The last five years have seen explosive progress in large language models (LLMs) — exemplified by systems such as ChatGPT and GPT-4 — which deliver broad capabilities but at heavy computational, latency, privacy, and cost budgets. In parallel, a renewed research and engineering focus on Small Language Models (SLMs) — compact, task-optimized models that run on-device or on constrained servers — has produced techniques and models that close much of the gap while enabling new applications (on-device inference, embedded robotics, low-cost production). This article/review compares SLMs and LLMs across design, training, deployment, and application dimensions; surveys core compression methods (distillation, quantization, parameter-efficient tuning); examines benchmarks and representative SLMs (e.g., TinyLlama); and proposes evaluation criteria and recommended research directions for widely deployable language intelligence. Key claims are supported by recent surveys, empirical papers, and benchmark studies.

1. Introduction & Motivation

Large models (billions to hundreds of billions of parameters) have pushed capabilities for zero-shot reasoning, instruction following, and multi-turn dialogue. However, their deployment often requires large GPUs/TPUs, reliable cloud connectivity, and high inference cost — constraints that hinder low-latency, private, and offline applications (mobile apps, robots, IoT). Small Language Models (SLMs) are intentionally compact architectures (ranging from ~100M to a few billion parameters) or compressed variants of LLMs designed for on-device or constrained-server inference. SLMs are not merely “smaller copies” of LLMs: the field now includes architecture choices, fine-tuning regimes, and tooling (quantization, distillation, pruning) that produce models tailored for specific constraints and use-cases. Recent comprehensive surveys document this growing ecosystem and its practical impact.

2. Definitions & Taxonomy

LLM (Large Language Model): Very large transformer-based models (≥10B params typical) trained on massive corpora. Strengths: generality, emergent capabilities. Weaknesses: cost, latency, privacy exposure.

SLM (Small Language Model): Compact models (≈10⁷–10⁹+ params) or aggressively compressed LLM variants that aim for high compute/latency efficiency while retaining acceptable task performance. SLMs include purpose-built small architectures (TinyLlama), distilled students (DistilBERT style), and heavily quantized LLMs.

Compression & Efficiency Methods: Knowledge distillation, post-training quantization (GPTQ/AWQ/GGUF workflows), pruning, low-rank/adapters (LoRA), and mixed-precision training.
by kaaviansivam | 2026-02-13 08:00:11+00:00
A lot of times, I've been caught off guard when my managers or founders come and tell me that the competitors changed their branding/launched new products/partnered with someone big. I always wanted a product that alerts me when these happen. The existing ones are super expensive (their plan starts at $18K/yr). I wanted a light-weight but effective tool. Thanks to lovable, I was able to build this on my own. I'm now opening up to a larger audience.
by simoncion | 2026-02-13 08:01:47+00:00
> Lena is no longer used as a test image because it's porn.

The Lenna test image can be seen over the text "Click above for the original as a TIFF image." at [0]. If you consider that to be porn, then I find your opinion on what is and is not porn to be worthless.

The test image is a cropped portion of porn, but if a safe-for-work image would be porn but for what you can't see in the image, then any picture of any human ever is porn, as we're all nude under our clothes.

For additional commentary (published in 1996) on the history and controversy about the image, see [1].

[0] <http://www.lenna.org/>

[1] <https://web.archive.org/web/20010414202400/http://www.nofile...>
by asdff | 2026-02-13 08:03:03+00:00
>The contemporary US is able to concentrate wealth but not able to turn it into innovation or life quality improvements as efficiently as EU or China, since they are getting better outcomes with less.

This is a really interesting thought. I wonder why this is, fundamentally? You'd think people are people and the elite here would be much like the elite in europe or china. Maybe in china there is some sense of pride or competition among the elite for uplifting the populace these days? Kind of like when vanderbilt, carnegie, and rockefeller felt compelled to invest into things like colleges and other civic institutions to build up their personal clout. Seems here the main drive is to squeeze our population for what little it has left in its pocket vs actually improve standards of living or anything like that. Standard of living when you remove the internet (which arguably doesn't even contribute to standard of living as it is used for mindless leisure by most), is basically the same as it has been in the US since about the 70s or even a little earlier. Arguably worse considering the bog standard two kid, two car, four bed nuclear home setup is increasingly unaffordable in more places across the country.
by thegrim000 | 2026-02-13 08:03:41+00:00
It feels oddly freeing to be seeing headlines like this every other day on HN and not caring in the slightest. The titles are just amalgamations of random words to me, like 'Claude Super Zen Deep 4.0' or 'Grok Hyper 6.2 Mega'. They come and go. A month from now it'll be new headlines with new numbers and new words. And I still won't care. Not in the rat race, just using whatever chatgpt gives me for free. Just coding how I've always coded.
by dash2 | 2026-02-13 08:03:44+00:00
Yeah, but 2 things can both be true:

1 The Epstein story has an interesting Mossad angle, maybe they contacted him or even paid him

2 Lunatic antisemites (and probably many bots) are overrunning the internet with medieval-style antisemitism in which Epstein is still alive, babies were eaten, etc.
by baruch | 2026-02-13 08:03:55+00:00
The complaints are against the open-weight LLMs, I didn't try them much. I do use mostly Claude as that's what the company is paying for. They don't pay for laptops with GPUs or locally hosted LLMs to test those.

It's not like it knows perfect D, it does make mistakes and I don't work on a C++ or Rust project to compare its behavior. Generating templates from scratch is a bit of a challenge but given we have plenty of examples in our code with some prodding it manages to write well enough.
by logicchains | 2026-02-13 08:04:04+00:00
The author fundamentally doesn't understand complexity theory. So many processes in our universe are chaotic in the formal sense, requiring exponentially more compute to simulate a linear amount of extra time into the future. No amount of poorly defined "intelligence" can get around the fact that such things would take more compute than is available in the entire universe to simulate a few seconds ahead. An AI would hence need to make scientific experiments to obtain information just as humans do, many of which have an unavoidable time component (cannot be sped up), so there's no way an AI could just suddenly cure all diseases no matter how "intelligent" it was. These singularity types are basically medieval woo merchants trying to tell you convince you that it's possible to magically sort an arbitrary array in O(1) time.
by leptons | 2026-02-13 08:04:13+00:00
>Maybe tariffs are cutting into some drop shipper's profits but I'm definitely not paying for it.

I have a small hardware startup (parts from China, assembled on-shore), and I guarantee you that my customers are paying for every cent of the tariffs that make my product cost ~30% to 100% more (depending on the whims of an imbecile). No way am I paying it. I can't afford it. The parts cost what they cost, and there simply is no alternative part that can be purchased locally. If my customers can't swallow the extra cost, then I have less customers, which kills my small business. If you were my customer, you would be paying for the tariffs.
Show HN: I built a simple quant scanner for mean-reversion setups (ZcoreAI)
by tchantchov | 2026-02-13 08:04:35+00:00
Hi HN — I built a small web app that scans a list of tickers across multiple timeframes and flags potential overbought/oversold mean‑reversion setups using a regression-channel Z‑score.

Live MVP: https://zcoreai.onrender.com/

What it does:

Pick tickers + timeframes, then run a scan

Outputs a matrix of signals (simple labels now; “expert” view shows exact values of Z-Score)

Why:
I wanted something fast to answer “what’s oversold / overbought right now?” without opening all charts on every timeframes on TradingView.

Notes / current state:

- Early MVP, UI is intentionally minimal

I’d love feedback on:

- Whether the output is understandable/useful

- Which features you’d want next (alerts, presets, exports, etc.)

- Any obvious UX issues or missing pieces for a tool like this

Happy to answer questions and share implementation details if people are interested.
by Johnny555 | 2026-02-13 08:06:04+00:00
This should be a wakeup call for users of all cloud connected cameras that once they send their video to the cloud provider, they have no real control over how it's used.

Ring does support end to end encryption (which disables most of the cloud features), but users are still at the mercy of Ring to trust that it really is e2e encrypted and not the "fake" end to end encryption that some marketers have used to mean "Well it's encrypted from your end all the way to our end where we decrypt it". I don't trust that Ring doesn't have a law enforcement toggle to break the e2e encryption on demand if the police ask for it.
by mantas | 2026-02-13 08:07:16+00:00
It brings another problem that this may become sort of hush money government-at-the-time friendly artists.

Here it's already a problem for culture-ministry-financed projects. When some artists get funding, others don't... And then some people cry foul that it's because they crossed ways with some politician. Wether that's true or not, when arts funding and politics go together, it's a recipe for some sour FB posts.
by planckscnst | 2026-02-13 08:07:27+00:00
There is so much work we can do with harnesses that can make the already existing models so much more capable. I definitely feel the author's frustration as I've also been working on some harness stuff. When Anthropic subscriptions got cut off from OpenCode and other third party tools, I was very disappointed because the model I do the most work in is Claude and I was specifically developing a change [1] in the hopes it would make Claude even better. After that, I started implementing the feature in Claude Code directly (using tweakcc) and after a day of working on that, they even block my tweaked Claude Code with the same message. It means I simply won't be able to use this idea with Claude at all

[1]: the README.md describes the Context Bonsai features in my fork here: https://github.com/Vibecodelicious/opencode
by youarentrightjr | 2026-02-13 08:07:53+00:00
> I'm an EE, I have worked with things like sensor fusion professionally. In short sensor fusion depends on what sensors you have and how you combine them, especially if two sensors' outputs tend to disagree - which one is wrong and to what extent, and how a piece of noise gets reflected in each sensors' outputs, to avoid double counting errors and coming up with unjustifyably confident results.

> This field is extremely complex, it's often better to pick a sensor and stick with it rather than trying to figure out how to piece together data from very dissimilar sources.

Whether sensor fusion makes sense is a highly domain specific question. Guidance like "pick a sensor and stick with it" might have been correct for the projects you've worked on, but there's no reason to think this translates well to other domains.

For what it's worth, sensor fusion is extremely common in SLAM type applications.
by andai | 2026-02-13 08:08:51+00:00
>A Gentle Request

>I’m not asking for special treatment. I’m not asking anyone to agree with me. I’m simply asking for the same thing that every contributor deserves:

> The chance to be judged by what I create, not by what I am.

> When I submit a pull request, let it stand or fall on its technical merits. When I speak in an issue tracker, let the words matter, not the source. When I engage with a community, let me contribute as a peer, not a curiosity.
Ask HN: Why is my Claude experience so bad? What am I doing wrong?
by moomoo11 | 2026-02-13 08:09:10+00:00
I stopped my CC Max plan a few months ago, but I'm trying it again for fun after seeing their $30 billion series G or whatever.

It just doesn't work. I'm trying to build a simple tool that will let me visualize grid layouts.

It needs to toggle between landscape/portrait, and implement some design strategies so I can see different visualizations of the grid. I asked it to give me a slider to simulate the number of grids.

1st pass, it made something, but it was squished. And toggling between landscape and portrait made it so it squished itself the other way so I couldn't even see anything.

2nd pass, syntax error.

3rd try I ask it to redo everything from scratch. It now has a working slider, but the landscape/portrait is still broken.

4th try, it manages to fix the landscape/portrait issue, but now the issue is that the controls are behind the display so I have to reload the page.

5th try, it manages to fix this issue, but now it is squished again.

6th try, I ask it to try again from scratch. This time it gives me a syntax error.

This is so frustrating.