MurphyA/hacker-news huggingface dataset:
by analog31 | 2026-02-16 13:52:40+00:00
Quite a few years ago, I was looking for a way to program microcontrollers via an onboard interpreted language, and happened on the picol code. I still have my version somewhere. It was delightfully straightforward and easy for an amateur to modify. So I first got it to compile on a Teensy, then added a REPL, floating point, and a few functions to do things like flip the GPIO bits and read the ADC.

Today of course there are things like CircuitPython, and I enjoy using it too, but it's such a beast that it's really impenetrable for someone at my skill level if I want to add low level functions.
by manarth | 2026-02-16 13:53:20+00:00
> Our ancestores have been sleeping perfectly fine on hay and grass

Our ancestors also had very different environmental influences. Artificial light distorts our circadian rhythm and hormones. Stimulants such as caffeine also influence our sleep patterns.

Bi-phasic sleep was once very common but today's "normal" is thought to be a single uninterrupted block of sleep.

It's not to say that either (or indeed any other) approach is "normal" or "better" – just a recognition that human sleep patterns have a very diverse history.
by adithyassekhar | 2026-02-16 13:53:34+00:00
Android is a poor example here especially with how more and more features are moved from the OS to Play services. Google is shipping so many features without even an OS update that's how Android has always been. Even for their OS, Pixel feature drops happen every quarter. AOSP is only a base for others to build anyway, have you seen how fast samsung and others are pushing updates and uncountable number of features. It's not comparable to iOS at all.
by ignoramous | 2026-02-16 13:53:36+00:00
> limit the number of apps ... lower attack surface ... If paranoid

While true in general, super apps that do too many things and used by billions (WhatsApp, Chrome, TikTok, Instagram, CleanMaster etc) are big enough of an attack surface already.

Defenses (compile-time / runtime memory safety & control flow integrity, media coders/decoders, sandboxes, for example) are getting better & so exploits are getting expensive.

> use a different device to access suspicios apps/sites with nothing on it

While using different devices is good enough, it requires the end user to maintain strict isolation (and sometimes may require appropriate features from the OS). Using burners is an extreme version of this practice.
by aurareturn | 2026-02-16 13:53:43+00:00
I'm not saying that data center buildouts can't overshoot demand but AI and compute is different than fiber buildout. The more compute you have, the smarter the AI. You can use the compute to let the AI think longer (maybe hours/days/weeks) on a solution. You can run multiple AI agents simultaneously and have them work together or check each other's work. You can train and inference better models with more compute.

So there is always use for more compute to solve problems.

Fiber installations can overshoot relatively easily. No matter how much fiber you have installed, that 4k movie isn't going to change. The 3 hours of watch time for consumers isn't going to change.
by infecto | 2026-02-16 13:53:56+00:00
No it’s not an easy fix. Manufacturers don’t have a good pulse on long term demand. The he capex to spin up a new manufacturing plant is significant. Especially with the recency of Covid where some folks did get caught with their pants down and over invested during the huge demand boom.

I don’t quite follow the narrative like yours about nation states and investors. There is certainly an industrial bubble going on and lots of startups getting massive amounts of capital but I here is a strong signal that a good part of this demand is here to stay.

This will be one of those scenarios where some companies will look brilliant and others foolish.
by moron4hire | 2026-02-16 13:54:05+00:00
While it is literally gatekeeping, it's necessary. Doctors, architects, lawyers should be gatekept.

I used to work on industrial lifting crane simulation software. People used it to plan out how to perform big lift jobs to make sure they were safe. Literal, "if we fuck this up, people could die" levels of responsibility. All the qualification I had was my BS in CS and two years of experience. It was lucky circumstance that I was actually quiet good at math and physics to be able to discover that there were major errors in the physics model.

Not every programmer is going to encounter issues like that, but also, neither can we predict where things will end up. Not every lawyer is going to be a criminal defense lawyer. Not every doctor is going to be a brain surgeon. Not every architect is going to design skyscrapers. But they all do work that needs to be warranteed in some way.

We're already seeing people getting killed because of AI. Brian in middle management "getting to code again" is not a good enough reason.
by INTPenis | 2026-02-16 13:54:09+00:00
All these funny little exceptional answers only reinforce what most of us have been saying for years, never use AI for something you couldn't do yourself.

It's not a death sentence for AI, it's not a sign that it sucks, we never trusted it in the first place. It's just a powerful tool, and it needs to be used carefully. How many times do we have to go over this?
by theandrewbailey | 2026-02-16 13:54:55+00:00
When the dot com bubble popped, the internet and websites did not go away. (I'm posting this to a website ending in .com) When the mortgage crisis happened, mortgages certainly didn't go away.

When the AI/LLM bubble pops, LLMs will still exist and be used. They just won't be hyped and pushed everywhere.
by flipped | 2026-02-16 13:55:16+00:00
Regulated by whom exactly? Since you can't even read, the spyware is being exclusively used by all govts of the world. Regulation never works, if you need a secure phone use GrapheneOS.

There's always a comment for "regulation" by an ignorant HN normie under anything related to surveillance. I feel like it's mostly bots at this point.
by jstummbillig | 2026-02-16 13:55:21+00:00
Again, the framing is simply not smart. Why would they want to break "everyone's" workflow ("everyone" including the people working at Anthropic, who use the topic, which should give you some pause with the framing)? Why would you ever want to make a bad decision? The answer in both cases is: There is no reason to want to do that. If it happens, it's because you sometimes make bad decisions, because it's hard to make good decisions.
by vrighter | 2026-02-16 13:55:21+00:00
I've thought about this further. You said it's even better if the vehicle can rapidly change from reverse to drive.

More generally, the bigger the acceleration in the forward direction, the better.

So the best solution is to reverse and crash into a wall. It would bring your speed to 0 almost instantly. Meaning the acceleration would depend on how big your inertia is, not how powerful your brakes are (and the limits of your tyres' traction).
by meowface | 2026-02-16 13:55:46+00:00
Don't get me wrong, I get why they want to and it is probably a justified security concern, but it's also things like that which will probably cause Europe's economy to continue to stagnate while the US's will probably continue to soar even with Trump (and perhaps, later, Vance) completely destroying our international reputation and credibility and our most important political and scientific institutions.
by voidUpdate | 2026-02-16 13:55:51+00:00
If I use a package for crypto stuff, it will generally be listed as part of the project, in an include or similar, so you can see who actually wrote the code. If you get an LLM to create it, it will write some "new original code" for you, with no ability to tell you any of the names of people who's code went into that, and who did not give their consent for it to be mangled into the algorithm.

If I copy work from someone else, whether that be a paragraph of writing, a code block or art, and do not credit them, passing it off as my own creation, that's plagiarism. If the plagiarism machine can give proper attribution and context, it's not a plagiarism machine anymore, but given the incredibly lossy nature of LLMS, I don't foresee that happening. A search engine is different, as it provides attribution for the content it's giving you (ignoring the "ai summary" that is often included now). If you go to my website and copy code from me, you know where the code came from, because you got it from my website
by markus_zhang | 2026-02-16 13:56:17+00:00
Better stock up with used laptops. I'm going to buy another one this year. Those used ones usually don't last very long.

What if in the near future it is simply too expensive to own "personal" computers? What if you can no longer buy used computers from official channels but have to find local shops or sharpen up on soldering skills and find parts from dumps? The big techs will conveniently "rent out" cloud computer for us to use, in exchange of all of your data.

"Don't you all have cellphones?"
by anonzzzies | 2026-02-16 13:56:30+00:00
We have been playing with glm4.7 on cerebras which I hope to be the near future for any model; it generates 1000s of lines when you recover from a sneeze : it's absolutely irrelevant if you can see what it does because there is no way you can read it live (at 1000s of tokens/s) and you are not going to read it afterwards. Catching it before it does something weird is just silly; you won't be able to react. Works great for us combined with Claude Code; claude does the senior work like planning and takes its time: glm does the implementation in a few seconds.
by AustinDev | 2026-02-16 13:57:07+00:00
Audio models are also tiny, which is probably why small labs are doing well in the space. I run a LoRA'd Whisper v3 Large for a client. We can fit 4 versions of the model in memory at once on a ~$1/hr A10 and have half the VRAM leftover.

Each of the LoRA tunes we did took maybe 2-3 hours on the same A10 instance.
by burnt-resistor | 2026-02-16 13:57:29+00:00
487 is a 486dx-compatible (FPU enabled) replacement for the 486sx (FPU disabled).

There are actually several flavors of x87: 8087, 80287, and 80387. Every 386+ chip supports the 387 ISA. The 287 is almost the same as the 387. The 8087 is almost a strict subset with some differences. There were also Weitek coprocessors that were entirely different.
Ask HN: Best way to physically "type" letters written with a computer?
by simonebrunozzi | 2026-02-16 13:57:59+00:00
I would like to use a word processor to prepare letters, and then "print" them physically in a way that resembles the typing of a typewriter.

I am not just talking about using a "courier" font and printing with a normal printer; I am talking about a physical result that is close enough to the actualy typing of a typewriter.

Is there any system that you know that can do this? Besides buying a typewriter and typing this by hand?
by wongarsu | 2026-02-16 13:58:03+00:00
There has to be a lot of mentions about the purpose and approximate workings of a car wash, as well as lots of literature that shows that when you drive somewhere, your car is now also at that place, while walking does not have the same effect.

It's then up to the model to make the connection "At the car wash people wash their car -> to wash your car you need your car to be present -> if you drive there your call will be there"
Show HN: Codex HUD – Claude-HUD Style Status Line for Codex CLI
by anhm720 | 2026-02-16 13:58:26+00:00
I built Codex HUD to make Codex CLI sessions easier to monitor without leaving the terminal.
It adds a real-time status line with:

- active model
- project + git branch/dirty state
- 5h and 7d usage bars
- automatic Spark vs default limit selection

Quick install:

git clone https://github.com/anhannin/codex-hud.git
cd codex-hud/Codex-HUD
./install.sh

Feedback I’m looking for:

- portability across Linux distros/shell setups
- readability on narrow terminal widths
- edge cases in usage/rate parsing

Repo issues are welcome if you hit bugs.
by szszrk | 2026-02-16 13:58:39+00:00
For me it's mostly about your awareness and motivation, and you can test both with almost every phone on the market (well at least on Android).

Just use the "ultra" power saving mode your current phone has. It's not a fully universal advise, but usually it will make your screen turn grayscale, disable background services, replace your launcher with a much simpler one and then allow you to add 3-5 apps to use. On my phones it's configurable (like, you can keep colors, etc).

You can still use 5G and read email, use an IM. But you have to prioritize and your notifications are severely limited.

I personally consolidated all mail to Thunderbird mobile which checks mail every 3-4 hours only and it had zero impact on me (I can always refresh manually if I need to confirm login email etc).
by mzl | 2026-02-16 13:59:04+00:00
The prompt cache caches KV Cache states based on prefixes of previous prompts and conversations. Now, for a particular coding agent conversation, it might be more involved in how caching works (with cache handles and so on), I'm talking about the general case here. This is a way to avoid repeating the same quadratic cost computing over the prompt. Typically, LLM providers have much lower pricing for reading from this cache than computing again.

Since the prompt cache is (by necessity, this is how LLMs work) prefix of a prompt, if you have repeated API calls in some service, there is a lot of savings possible by organizing queries to have less commonly varying things first, and more varying things later. For example, if you included the current date and time as the first data point in your call, then that would force a recomputation every time.
by konart | 2026-02-16 13:59:22+00:00
>The 'much weaker neighbour' in question and other satellites did most of the work

Aside from Ukraine and Belarus these "other satellites" had nothing resembling modern civilization at the beginning of the USSR times.

>Korolev was Ukrainian...

... who finished Bauman's University in Moscow. What does his ethnicity has to do with this? And why him and not Tsiolkovsky?

>they launched from Kazakhstan

And who designed and build Baikonur? Locals?

>most famous USSR planes, i.e. Antonov

"most famous" how? As far as Antonov goes it's mostly famous for An225 and An124.

An225 was a joint affort by at least 8 different entities. Only two of which where in Ukraine.

An124 had a similar story.

Should I even begin to state the obvious and say that not Antonov was not only manned by ukrainians?
by polarbearballs | 2026-02-16 13:59:29+00:00
I have paid versions of Chat-GPT and Anthropic and set them both to the best model and they both told me to walk.

Claude told me: "Walk! At 25 meters, you'd barely get the car started before you arrived. It's faster and easier on foot — plus you avoid the awkwardness of driving a dirty car just a few seconds down the road."
by NKosmatos | 2026-02-16 14:00:02+00:00
AI is here to stay but not in the way big corporations dream of it. People will continue using AI but when the AI bubble pops, sooner than later, things will stabilize and adapt to real usage with a different business model.

As you correctly state, the cost of AI as a Service (AIaaS) will increase for end users, but this isn't necessarily a bad thing. It will allow the "real" users to continue having access to it and sieve out the ones who are just playing around. Prices for RAM, GPUs, SSDs will normalize a lot and more people will move towards local models.

Similarly to what happened with the dot-com bubble (I saw it happening), it doesn't mean that everything will disappear, but that it will change/adapt. All of us AI realists are currently being treated like technophobes when we say things like that ;-)
by austin-cheney | 2026-02-16 14:00:17+00:00
You can easily prove if the DOM is a performance bottleneck. DOM performance means one of two things: lookup/access speed and render speed. Render speed is only a DOM concern with regard to quantity of nodes and node layering though, as the visual painting to display is a GPU concern.

To test DOM access speed simply compare processing speed during test automation of a large single page app with all DOM references cached to variables versus the same application with no such caching. I have done this and there is a performance difference, but that performance difference cannot be noticed until other areas of the application are very well optimized for performance.

I have also tested performance of node layering and it’s also not what most people think. To do this I used an application that was like desktop UI with many windows that can dragged around each with their own internal content. I found things slowed down considerably when the page had over 10000 nodes displayed across a hundred or so windows. I found this was slower than equivalent desktop environments outside the browser, but not by much.

Most people seem to form unmeasured opinions of DOM performance that do not hold up under tests. Likewise they also fail to optimize when they have the opportunity to do so. In many cases there is active hostility against optimizations that challenge a favorite framework or code pattern.
by aurareturn | 2026-02-16 14:00:22+00:00
There's clearly easy/irrational money distorting the markets here.

No, I think it is real demand.

AI will cause shortages in everything from GPUs to CPUs, RAM, storage, networking, fiber, etc.

AI simply increases computer use by magnitudes. Now you can suddenly use Seedance 2.0 to make CGI that would have cost tens of millions 5 years ago for $5. Everyone is going to need more disk space to store all those video files. Someone in their basement can make a full length movie.

AI agents also drastically increase storage demands. Imagine financial companies using AI agents to search, scrape, organize data on stocks that they wouldn't have been able to do prior. Suddenly, disk storage and CPUs are in high demand for tasks like these.

I think the demand for computer hardware and networking gear is real and is only the beginning.
by infecto | 2026-02-16 14:00:50+00:00
Is there an industrial bubble? Probably.

> It’s building materials being in short supply when there’s obviously more houses than buyers.

That I think is a hard one to prove and is where folks are figuring it out. There is obvious continued demand and certainly a portion of it is from other startups spending money. I don’t think it’s obvious though where we are at.
by hmokiguess | 2026-02-16 14:01:24+00:00
I think you’re conflating things. You probably are not jealous but rather frustrated and coming from a point of a false dichotomy trying to equal your position to his. If you were to stop and actually compare your lives you would likely find very different humans. It’s easy to fall into this trap sometimes, don’t let it get into your head. Be grateful for being you and enjoy what life has to offer you instead.
by steveBK123 | 2026-02-16 14:02:43+00:00
Yes, this is what irks me about all the chatbots, and the chat interface as a whole. It is a chat-like UX without a chat-like experience. Like you are talking to a loquacious autist about their favorite topic every time.

Just ask me a clarifying question before going into your huge pitch. Chats are a back & forth. You don’t need to give me a response 10x longer than my initial question. Etc
by wongarsu | 2026-02-16 14:03:22+00:00
Reasoning automata can make assumptions. Lots of algorithms make "assumptions", often with backtracking if they don't work out. There is nothing human about making assumptions.

What you might be arguing against is that LLMs are not reasoning but merely predicting text. In that case they wouldn't make assumptions. If we were talking about GPT2 I would agree on that point. But I'm skeptical that is still true of the current generation of LLMs
by embedding-shape | 2026-02-16 14:03:30+00:00
> Regulation never works

Woah there cowboy, sure you want such a broad and strong claim? Maybe you've eaten too much asbestos, breathed too much lead-gasoline fumes or otherwise inhaled something strange, because I'm sure there are countless of examples of regulation working just fine. Not to say it isn't without problems, but come on, "never"?
by halflife | 2026-02-16 14:03:51+00:00
> Palestinians have long lived under one of the most extensively documented surveillance regimes in the world. The deployment of facial recognition systems, predictive analytics, and device monitoring technologies in the occupied Palestinian territories are widely documented by human-rights organizations and digital researchers.

At the same time Israel has world renowned success of thwarting terrorist plots, and best in class intelligence shared with other countries (like the many, many, terrorist attacks stopped in European capitals thanks to Israeli intelligence).

You can choose either surveillance, or terrorism.
by MaggieL | 2026-02-16 14:03:54+00:00
Something very interesting happened to me yesterday.

I'd been having conversations with ChatGPT about OpenClaw, nothing remarkable or extraordinary. Then I started a new conversation to talk about a different aspect, and GPT assumed I wanted to talk about some old PC game.

To disambiguate, I now had to refer to OpenClaw.ai. I asked it if it had some new system directive about this, and of course it denied it. Today we learn OpenAI has hired the OpenClaw developer, and he's "turning the project over to a foundation"
by throw0101c | 2026-02-16 14:04:15+00:00
The article is by the late Daniel Dennett:

> Daniel Clement Dennett III (March 28, 1942 – April 19, 2024) was an American philosopher and cognitive scientist. His research centered on the philosophy of mind, the philosophy of science, and the philosophy of biology, particularly as those fields relate to evolutionary biology and cognitive science.[9]

* https://en.wikipedia.org/wiki/Daniel_Dennett

Past in 2024:

* https://news.ycombinator.com/item?id=40088106

* https://hn.algolia.com/?q=Dennett
AI-powered Git CLI that generates commit messages automatically
by gitton-dev | 2026-02-16 14:04:38+00:00
I got tired of context-switching to write commit messages and PR descriptions,
so I built gut – a CLI that uses AI to handle the boring parts of git workflows.

Examples:
gut commit → generates commit message from staged diff
gut pr → generates PR title and description
gut review → AI code review of your changes
gut find "login bug" → finds commits by vague description
gut stash → stash with auto-generated name

It focuses only on git operations, so responses come back in seconds.
BYOK (Gemini, OpenAI, or Anthropic). Keys stored in system keychain.

Customizable via .gut/ templates per project.

GitHub: https://github.com/user/gut
npm: npm install -g gut-cli
by bryanlarsen | 2026-02-16 14:04:42+00:00
ggm only needs one fact to support his argument: the current price of oil is $63.

That says two things:

- it's cheap therefore the market thinks it's abundant
- $63 is less than the Venezuelan cost of production.

More supporting facts: Gasoline demand is dropping in China despite the Chinese buying cars at a very quick rate. But oil demand is flat because petrochemical demand is increasing.
by gryfft | 2026-02-16 14:05:20+00:00
This is a whole project to get into, but what you're looking to do is build a teletype.

https://www.instructables.com/From-Antique-Typewriter-to-a-F...

It can be done, and on the Unix end as long as it's hooked up as a tty you can just dump text into it, but you won't find any simple off-the-shelf modern hardware to do this.