MurphyA/hacker-news huggingface dataset:
by hirako2000 | 2025-12-30 19:41:26+00:00
Nature already solved that and implemented it. It's all around us with relationships. Not just among humans. They typically last over a single interaction. Especially if you don't ignore the rules of the game.

But the game theory of nature also leaves room for other sort of players to somehow win over fair play. I thought this was a bug but over time realised it is a feature, critical to making players as a whole stronger. Without it there would be no point for anyone to be creative.

If you can solve the issue and make a playbook so that everyone do tic for tac, it won't take long for a bad actor to exploit it, then more, then you are back to where we are now.
by m132 | 2025-12-30 19:41:51+00:00
Yes.

There are AppContainers. Those have existed for a while and are mostly targeted at developers intending to secure their legacy applications.

https://learn.microsoft.com/en-us/windows/win32/secauthz/app...

There's also Docker for Windows, with native Windows container support. This one is new-ish:

https://learn.microsoft.com/en-us/virtualization/windowscont...
by throwaway894345 | 2025-12-30 19:41:55+00:00
Smaller than containers seems unlikely since a container doesn't have any kernel at all, while these microvms have to reproduce at least the amount of kernel they would otherwise need (e.g., a networking stack). I'm sure some will be inclined to compare an optimized microvm to an application binary slapped into an Ubuntu container image, but that's obviously apples/oranges.

Faster might be possible without the context switching between kernel and app? And maybe additional opportunities for the compiler to optimize the entire thing (e.g., LTO)?
by Alconicon | 2025-12-30 19:41:56+00:00
My personal bet is on nvidia. They always show advanced selfdriving capabilities based on ML.

They are also forefront of ml simulation. 3D, weather pattern etc.

Tesla also had plenty of missshapes like Dojo or cybertruck and the sitll not finished FSD.

My Car OS from Ford Mustang Mach-e works completly fine. No clue why this is some advantage Tesla should have? BMW just launched their new Gen 6 incl. their new os.

All the advantages of that fully integrated 'platform' also just works in my car?

BMW is very good in lane keeping, Mercedes can drive more km in germany autonomes than BMW and BMW can drive more km than Tesla.

I of course focus on german brands because i'm from germany. But XPeng and others working on all of that too.
by geiser | 2025-12-30 19:42:27+00:00
I produced https://lynxprompt.com as an IDE/tool-agnostic AI config rules generator & catalog, via CLI & WebUI. There is a lot of love (and $$$) put in the Wizard generator, you can check it both via CLI or WebUI.

I've got some users and the stuff I can do each time I start doing vibecoding is astounding. Obviously 50% the work is just fixing what the AI didn't understood or imagined too much, but having a good AGENTS.md is key (and patience from me) - so that's why I'm buidling LynxPrompt indeed, for having a good AGENTS.md for my next projects... and hopefully you too.
by andrekandre | 2025-12-30 19:43:01+00:00
> We use code rabbit and it's better than practically any human

code rabbit does find things occasionally, but it also calls things 'critical' that arent and flags issues that dont actually exist and even lies in replies sometimes...

it also is extremely verbose to the point of being slog to go through... and the haikus: they are so cringe and infantilizing...

maybe its our config, but code rabbit has been underwhelming...
by Imustaskforhelp | 2025-12-30 19:43:57+00:00
> The foreseeable future of software development is one where perhaps “AI” – in a much more modest form (e.g., a Java coding assistant built atop a basic language model) – is used to generate prototypes, and maybe for inline completion on production code and those sorts of minor things.

This...

I have said this in multiple other comments and I 100% agree with the author's take.

I feel like AI can be good for prototyping sometimes but that's about it.

The reason is simple but I just don't trust AI system from not breaking given their volatile nature and I wouldn't expect to be paying for AI generated code that much/zero to be honest

And I will treat other people the same way I wish to be treated (golden rule) so why would I use AI when I can do things by my hand? (There are also 1000's of other discussions I can point in the moral,financial,even technological impacts of the whole situation)

That being said, prototyping as author pointed out feels the only good use to me because at that point you are building it for yourself or a small community. I think a good use of AI can be to build open source prototypes of softwares and if you really like something, one can rebuild it or build it the way they like it as an example.

Prototyping can be similar to the drag n drop and other things and honestly wordpress did reduce the number of programmers needed to maintain a website and for good measure, I think AI is similar to this then anything else and even then small models will win as author states and so the financial point of these companies training these usually becomes moot.

So till the time being, I use these free/subsidized websites to get prototypes to be generated but I feel as if long term, I can find projects which heavily resonate with me and I can build them/learn languages catered to them and build my mental model of thinking around them

Although I must admit, prototyping using AI models definitely gives me Imposter syndrome and I sometimes feel that perhaps its a learning opportunity and that I can perhaps instead spend hours but I don't really know too much about it so its something that I am figuring out as we speak

Like there is this feeling that I can spend more hours and feel more "proud" of what I did if I did it without AI than if I did with AI since perhaps the journey matters too. I really don't know but just weighing all my thoughts on the matter as I thought about it really closely once.
by kmeisthax | 2025-12-30 19:44:32+00:00
Taking that as true, that doesn't address the actual problem. The US tax code has so many loopholes and specific rules that only ever apply to a handful of people that we might as well be talking about two different sets of laws.

Even calling them "the 1%" is not particularly helpful, because 1% of America is still, like, three and a half million people. These are small business owners and the like; the kinds of people who are well off but still actually doing real productive work. Like, of course they pay the most taxes.

Once you start getting into the 1% of the 1% - "the 0.01%" - then you can afford to hire an accountant who can engineer you a favorable tax situation. And so your tax share starts falling.

But at the level of the 1% of the 0.01% - "the 0.0001%" - you can get custom-designed tax loopholes to favor you and you alone. Because at this level, you're talking about around 348 Americans, all with astronomically high wealth, paying almost no taxes. At this level, the amount of material wealth doesn't even matter; it's all bound up in hypotheticals and illiquid assets. Some of them might be CEOs, or interlocking directors, or politicians. But their real value is all in social capital - their connectedness to other 0.0001%ers who collectively own the economy and can move mountains in their favor.
by svieira | 2025-12-30 19:44:45+00:00
This is the premise of The Napoleon of Notting Hill by G. K. Chesterton. In 1984 (100 years after the writing of the book), the King of England is now selected by lottery. Much wildness ensues.

https://www.gutenberg.org/files/20058/20058-h/20058-h.htm
by Alconicon | 2025-12-30 19:44:48+00:00
Honestly, i know a few Tesla users and at least for them their Tesla is more than just a car. Its like a gimmick.

Driving to tesla meetups, adding certain accessories for led light stuff, its (sry to say) just weird.

I get the basic idea of telling the internet about some issue and getting faster feedback than from the manufacturer, but I never had the feeling i needed any of this for my non Tesla EV.

And as i mentioned in my comment: I would hate all the regular updates. As long as everything works as expected, pls do not change anything.
by miki123211 | 2025-12-30 19:45:04+00:00
I think this idea (which is properly called sortition) would work even better if combined with the normal kind of democracy.

Most western democracies already have a two-chamber system (commons/lords, congress/senate etc), but those two chambers are elected in very similar ways. Instead, we could make one of them elected by sortition, while keeping the other one a traditional democracy.

I'd personally split the sortition part into per-area committees. There'd be a main committee with members taken from the general populace, whose only job would be to create the rules of who can be chosen for which committee (e.g. only qualified doctors for medicine). That main committee would also manage inter-committee disputes, in cases where it's not obvious whether a particular committee should be given the right to vote on a particular bill.
by neilv | 2025-12-30 19:45:13+00:00
Interesting. That sounds like the trade for a very credentialed AI person. For random hackers, it's a little different...

There's the job ($250K+ in a VHCOLA, and probably worthless stock options), or their own startup.

I'd distinguish the kitchen table bootstrap startup, from the courting funding and playing the VC game startup.

The bootstrapped startup lets you do whatever product or tech demo you can do, and only that, and then eventually you have deal with M&A courting.

The VC track startup, you have to focus on jumping through the hoops of all sorts modern VC investors throughout the process. And among their criteria will be things like what your socioeconomic class is, and which school did you go to, bro. But it's otherwise easy, because you just have to go through the motions and burn VC money and hit their milestones while the hype wave musical chairs music is playing, and worst case is that you're a serial entrepreneur.

Either kind of startup is valid, but bootstrapped is could have you spending most of your time on actual AI product work, if you can scope it to be viable with your resources. But you have to work smart and energetically, and worst case is that you run out of personal and revenue money, and then have to do a bunch of job interviewing to beg for a job from the previous category of founder.

This reminds me of when YC seemed to be a response to the dotcom boom environment, a bit "by hackers, for hackers", to help hackers start Internet businesses. Rather than mostly only the non-hackers starting dotcoms (such as with affluent family angel investors and connections). Or rather than hackers having to spend their energy jumping through a lot of hoops, while dealing with disingenuous and exploitative finance bro types.
by verisimi | 2025-12-30 19:45:18+00:00
> You're either outright refusing or unable to see the point I've been making about the breeds: The traits are physically programmed in, whether individual or familial, not "already inside" the individual's soul. You aren't tracking that part of our conversation properly.

I don't dispute traits. But the traits idea fails to address the unique characteristics of each dog.

It seems I'm not tracking the things you want me to track, terminology, science, traits. But then, as I said in the first place:

> For me 'intelligence' would be knowing why you are doing what you are doing without dismissing the question with reference to
'convention', 'consensus', someone/something else.

I can tell you are sincere with your investigations, but I can't help wondering whether direct observations of reality, the development of a personal outlook on reality, use personal experience as primary source, is ultimately more valuable than familiarity with a corpus. But then I would say that. And you would disagree.
by JumpCrisscross | 2025-12-30 19:45:27+00:00
> they can withstand a US embargo

We were never debating if Europe could survive an American embargo.

You said “most money won't buy you much resources in a decade.” This was about America surviving a European freeze-out. The simple truth is, there are more resources in America and within its military’s undisputed reach than there are in Europe.

Your UNEP report doesn’t show why America alone couldn’t extract its way out of an embargo. (While it puts its military to use.)
by nosianu | 2025-12-30 19:46:30+00:00
You are looking at it from the individual's PoV, but the OP is using the bird view from high above. It is the total amount of effort deployed today already to provide all the existing AI services, which is enormous. Data centers, electricity, planning/attention (entities focused on AI have less time to work on something else), components (Nvidia shortage, RAM shortage), etc.

This is not about finance, but about the real economy and how much of it, and/or its growth, is diverted to AI. The real economy is being reshaped, influencing a lot of other sectors independent of AI use itself. AI heavily competes with other uses for many kinds of actual real resources - without having equally much to show for it yet.

Just an example: https://www.technologyreview.com/2025/05/20/1116327/ai-energ... (it is worth skip-reading it all, the headline on its own is useless)
Show HN: Apache TacticalMesh – Open-source tactical mesh networking for defense
by pp10 | 2025-12-30 19:46:32+00:00
Hi HN!

I built an open-source tactical mesh networking platform for military and first responders.

THE PROBLEM:
Soldiers and firefighters lose communications when infrastructure fails (jammed, destroyed, or non-existent). Current solutions cost $50K per radio and create vendor lock-in.

THE SOLUTION:
Apache TacticalMesh - automatic message relay through mesh peers. When you can't reach base, your radio finds someone who can and routes through them. Like Waze for military comms.

TECH STACK:
• FastAPI backend (Python)
• React/TypeScript frontend
• UDP mesh with Level 2 multi-hop routing
• Smart path selection (hop count, RTT, reliability)
• JWT auth, RBAC, audit logging
• Docker deployment, 75% test coverage

WHY IT'S DIFFERENT:
Most "mesh" systems are hub-and-spoke. This is true multi-hop - Node A → Node B → Node C → Controller with automatic failover.

OPEN SOURCE:
Apache 2.0 licensed - free forever, no vendor lock-in. Built this to solve a real problem, not to start a company.

LOOKING FOR:
• Technical feedback (especially on agent/mesh/routing.py)
• Pilot partners (military units, National Guard, disaster response)
• Contributors (Python/React devs interested in defense tech)

Happy to answer questions about the routing implementation or real-world deployment scenarios!
by josephg | 2025-12-30 19:47:02+00:00
I think he still considers this to be the case. He was interviewed on Linus tech tips recently. And he bemoaned in passing the terrible application ecosystem on Linux.

It makes sense. Every distribution wants to be in charge of what set of libraries are available on their platform. And they all have their own way to manage software. Developing applications on Linux that can be widely used across distributions is way more complex than it needs to be. I can just ship a binary for windows and macOS. For Linux, you need an rpm and a dpkg and so on.

I use davinci resolve on Linux. The resolve developers only officially support Rocky Linux because anything else is too hard. I use it in Linux mint anyway. The application has no title bar and recording audio doesn’t work properly. Bleh.
by snickerbockers | 2025-12-30 19:47:36+00:00
Thats only really a problem if this and that are coming from an external source and have not been truncated. I really don't see this as any more significant of a problem than all the many high level scripting languages where you can potentially inject code into a variable and interpret it.

There are certainly ways in which the c library could've been better (eg making strncpy handle the case where the source string is longer than n) but ultimately it will always need to operate under the assumption that the people using it are both competent and acting in good faith.
by phil21 | 2025-12-30 19:47:57+00:00
The Celeron 300A was the one most folks would go after for this. I don't recall the exact retail pricing at the time, but they were more or less guaranteed to overclock to 450mhz and be fully stable. Typically retail pricing could be had at discount to the published wholesale pricing within a couple months of release due to how quickly the market moved back then.

These were competing with PII processors in 1998, and for folks who wanted to go dual CPU it was the way to go.

There was a whole cottage industry of folks modding these CPUs as a small side hustle for people who were not comfortable with soldering onto CPU pins if you wanted to put these into a SMP system.

Performance really did mostly scale linearly with clock speed back then - but for a single CPU. The dual CPU setups were not nearly as efficient due to software not being as multi-threaded as it is today. The big win were folks with two monitors (rare!) who could run apps on their second monitor while playing games on the first. Typically you would only see frame-rate increases with CPU clock - and of course the very start of the serious 3D accelerator (3dfx, nvidia, ATI) scene back then.

It was certainly the golden age of enthusiast computing - especially for gaming.
by Imustaskforhelp | 2025-12-30 19:48:09+00:00
Writing my comment on this post, I kind of feel like LLM's are like similar to wordpress/drag and drop tool although its more inconsistent too perhaps not sure

I 100% share the codependent path too and had written a similar comment some 2-3 days ago but these AI companies which provide are either seriously negative/loss making subsidizing or they are barely net zero. I doubt that it will continue and so the bubble will burst I guess and prices of these will rise perhaps

We will see perhaps something like google which can feed on advertising can perhaps still provide such subsidies for a longer time but the fact of the matter is that I have no alleigance to any model as some might have and I will simply shift to the cheapest thing which can still provide me / be enough for my queries or prototypes mostly I suppose.
by Alconicon | 2025-12-30 19:48:16+00:00
I would argue that Tesla didn't lose its way, it used it way to get were they are and now you see the deficits of it.

They started without all the legacy and worries. Like existing suppliers, existing things, existing image. Fresh market, modern software development etc. brought them a proper market share.

Now the olds had to update themselves, which they did and now they are stuck with tesla.

But thats it. Tesla doesn't has that much innovation. Plenty of things did not materialize at all.
by guiriduro | 2025-12-30 19:48:52+00:00
The diagnosis I largely agree with. To the point I no longer identify as a (small-d) democrat, it is the tyrrany of the mob's choice of (usually reprehensible) representative, who will have lied and pacted with corrupt elites to obtain his/her position, and been nominally elected by the ignorant. Anyone who wants power should by that fact be excluded. The solution however (lottery-election) is absurd. We should instead restrict the franchise by exam to provably non-ignorant, non-evil critical thinkers so that we get representatives who are non-sociopaths that we can respect.
Ask HN: My multi-agent financial sentiment architecture
by CLCKKKKK | 2025-12-30 19:49:00+00:00
Hello HN,

I’m a college student building a financial intelligence terminal for personal use. The goal is to capture "whisper numbers" and sentiment shifts in social media before they hit mainstream headlines.

I would love your feedback on the architecture and logic.

The Stack:

Backend: Python (PM2 managed)

LLM: OpenAI GPT 5.2 for high level analysis + GPT-5-mini for news filter and market data collection (via API)

Frontend: Next.js + Tailwind + Recharts

The Architecture (The interesting part):

1. The Collector

Instead of hitting the LLM immediately, I run a raw scraper every 30 minutes targeting:

- Nitter instances (for Twitter/X data without API limits).

- GNews RSS (for official headlines).

- DuckDuckGo (for general forum chatter).

- 1-min OHLC Data (via yfinance) to monitor price micro-structure.

2. The Agentic System

I split the analysis into two roles:

- Market Agent: Analyzes the 30-minute window of 1-min candle data. It looks for patterns like "V-shape recovery," "Flash crash," or "Volume exhaustion" (things a simple % change metric misses).

- News Agent: Analyzes the messages and events from the scrapper, and it can determine whether to wake up on-call senior agent for "emergency" during market open time.

- Senior Agent: Receives the cleaned news stream + the Market Agent's technical summary. It produces a Sentiment Score (-10 to +10) and a rationale. It creates a "red alert" if the price will probably be changing a lot in the next several hours.

- On-call Agent: Analyzes the news and search the internet for proofs and determine whether to send alert to users or not.

3. The Frontend

To better display information, I vibe coded a Next.js + Tailwindcss frontend. An updated version with i18n will soon be published.

My Questions for HN:

Latency vs. Depth: Currently, the AI analysis cycle takes ~3 minutes. For "swing trading" this is fine, but will it help if there's a better pattern to stream partial updates to the frontend without waiting for the full analysis to complete?

Hallucination Risks: I force the LLM to verify dates, but sometimes it still treats a "re-posted old news" as a new event. How do you guys architect verification layers for news agents?

Practicability: I just finished this agentic system, and it's my first day trading according to the info from the agentic system and it's currently +0.8% profit. I'd love advice from someone with more trading experience. Also, feel free to reach out to me if you want a preview of the system's output.

Some screenshots here: https://x.com/CLCKKKKK/status/2006085046269337799?s=20

My email: yiz29@illinois.edu

Thanks!
by observationist | 2025-12-30 19:49:28+00:00
TV's are on their way to free, and are thoroughly enshittified. The consumer is the product, so compliance with consumer preferences is going to plummet. They don't care if you know what you want, you're going to get what they provide.

They want a spy device in your house, recording and sending screenshots and audio clips to their servers, providing hooks into every piece of media you consume, allowing them a detailed profile of you and your household. By purchasing the device, you're agreeing to waiving any and all expectations of privacy.

Your best bet is to get a projector, or spend thousands to get an actual dumb display. TVs are a lost cause - they've discovered how to exploit users and there's no going back.
by MagicMoonlight | 2025-12-30 19:49:29+00:00
This is the kind of naive nonsense that children come up with. Anyone who has done jury service knows how thick and incompetent a random sampling of the population is.

If you want effective rulers, you need Roman democracy. Each position is held only for a year, and you either win election to the next rank, or you’re out.

Corbyns and Bernies can’t just sit in the same seat for 50 years without ever doing anything. Morons can’t get to be ruler. Every step is an intense competition, encouraging boldness in public service.

They also had an amazing system for war declarations… only those eligible to fight were eligible to vote whether to declare war. The old and the weak were not allowed to vote in those specific ballots.