MurphyA/hacker-news huggingface dataset:
by MASTER_shivam | 2026-02-12 20:42:51+00:00
A high-precision numerical framework for solving non-equilibrium ALP cosmology. Implements exact momentum-dependent Boltzmann equations for lepton/photon couplings, calibrated against Planck, ACT, and DESI DR2 datasets EREBUS-ALP: NEURAL-KINETIC Framework Advanced Numerical Solver for Non-Equilibrium Axion-Like Particle (ALP) Cosmology Technical Synopsis EREBUS-ALP is a high-fidelity scientific framework designed to solve the momentum-dependent Boltzmann Equation for light Axion-Like Particles (ALPs) coupled to the Standard Model (SM) leptons and photons. The core sub-system, NEURAL-KINETIC, moves beyond the standard "Fluid Approximation" (thermal equilibrium) by implementing an exact treatment of non-thermal phase-space distributions.
by lm28469 | 2026-02-12 20:43:02+00:00
Let's come back in 12 months and discuss your singularity then. Meanwhile I spent like $30 on a few models as a test yesterday, none of them could tell me why my goroutine system was failing, even though it was painfully obvious (I purposefully added one too many wg.Done), gemini, codex, minimax 2.5, they all shat the bed on a very obvious problem but I am to believe they're 98% conscious and better at logic and math than 99% of the population.

Every new model release neckbeards come out of the basements to tell us the singularity will be there in two more weeks
by dang | 2026-02-12 20:43:23+00:00
Related ongoing thread:

Gemini 3 Deep Think - https://news.ycombinator.com/item?id=46991240 - Feb 2026 (212 comments)

(I've added https://twitter.com/fchollet/status/2021983310541729894 to the top text there since it's an interesting addition.)
by mrtksn | 2026-02-12 20:43:37+00:00
Theoretically Apple can spend just as much. What are the outcomes though? All those giants have their own business that are established and profitable.

It’s the new kids in the block that will make the difference.

You know those lists on twitter about how many companies US has in top 10 and are presented as a win? Those are actually lists of capital concentrations blocking innovation. It looks like US is winning but for some reason life is better in EU and innovation is faster in China.

It’s companies like OpenAI Anthropic that will move US ahead. Even if some core innovation or and capital comes from the establishment.
by rahulroy | 2026-02-12 20:43:40+00:00
Correct. They sounded like human. The pacing was natural, it was real time, no lag. It felt human for the most part. There was even a background noise, which made it feel authentic.

EDIT: I'm almost tempted to go back and respond to that email now. Just out of curiosity, to see how soon I'll see a human.
by raahelb | 2026-02-12 20:43:52+00:00
Interesting to note that the reduced latency is not just due to the improved model speed, but also because of improvements made to the harness itself:

> "As we trained Codex-Spark, it became apparent that model speed was just part of the equation for real-time collaboration—we also needed to reduce latency across the full request-response pipeline. We implemented end-to-end latency improvements in our harness that will benefit all models [...] Through the introduction of a persistent WebSocket connection and targeted optimizations inside of Responses API, we reduced overhead per client/server roundtrip by 80%, per-token overhead by 30%, and time-to-first-token by 50%. The WebSocket path is enabled for Codex-Spark by default and will become the default for all models soon."

I wonder if all other harnesses (Claude Code, OpenCode, Cursor etc.,) can make similar improvements to reduce latency. I've been vibe coding (or doing agentic engineering) with Claude Code a lot for the last few days and I've had some tasks take as long as 30 minutes.
by godelski | 2026-02-12 20:43:57+00:00
> users need to act for themselves and optimize their own privacy.

In some sense I agree, but I also think you've oversimplified things.

Even when you're highly technically skilled it can be extremely difficult to impossible to regain the level of privacy the average person had just 50 years ago (probably even just 20). This is a bar too high. One should not need years or decades of expertise to take back what is a broad/universal desire.

It comes down to consent. The users aren't technologically sophisticated enough to know how their data is being weaponized against them. Let's be honest here, even on places like HN we often see claims about "ads don't affect me" and "I don't care if they want to sell me a better product". As if 1) you aren't affected, 2) it doesn't matter if your friends/family/peers are affected, and 3) that ads are just there to sell you products and exclusively ones that make your life better. How the information is being leveraged is too abstract for most people and it takes time to process it.

The advertisers literally take advantage of this fact.

But where I do agree is that we need to make our voices heard. The barrier is too high for most to achieve. "Install a pihole" may be acceptable on HN[0] but not for the broader public and certainly is far from being a strong defense alone[1].

Where I do agree is that we as developers need to make these tools easier to use and help lead those conversations and help educate people.

But if you are saying the solution is "git gud, protect yourself" then I think you are on the wrong side and even harming yourself. Unfortunately internet privacy is like vaccinations, we require herd immunity. Without those around you protecting their privacy, your privacy is at risk. It is not a personal decision, it is a social one.

[0] And is the average HN user actually going to implement encrypted DNS and know how to pick better DNS servers? Or are we just going to argue about the trustworthyness of 1.1.1.1 vs 9.9.9.9? Are we even going to talk about things like 1.1.1.2 or base.dns.mullvad.net? These are still the basics!

[1] How many people know you need to change your browser settings? That your browser is likely picking a DNS server for you.
by FloorEgg | 2026-02-12 20:44:03+00:00
I disagree. The whole point of it is to shift the frame of reference away from the product and into the customer's job to be done. Ironically, we call it the milkshake example instead of the eating breakfast on the way to work example. But the lesson embedded in it is there all the same.

Personally, I found this example really helpful to wrap my head around jobs to be done theory.

It switched their frame from trying to innovate on the milkshake itself to the whole experience. Instead of making the milkshake chunky or thick or sweet or whatever they move the milkshake machine up closer to the door so people can be in and out faster.

I'm curious why you didn't see it this way. Did you miss something, or am I missing something?
Show HN: ZkzkAgent – a self-hosted AI assistant for Linux
by zkaria-gamal-11 | 2026-02-12 20:44:15+00:00
I built zkzkAgent, an open-source AI assistant that runs entirely on Linux locally.

It lets you manage your system with natural language instead of memorizing commands. Features include:

Search files and directories intelligently

Manage processes and services

Monitor internet/Wi-Fi and auto-reconnect

Optional voice interface (Whisper + TTS)

Human confirmation before risky commands

I made this because I wanted a privacy-first AI sysadmin that actually executes commands safely.
by HarHarVeryFunny | 2026-02-12 20:44:24+00:00
Yeah, up from $1B a year ago.

Two years ago, I considered investing in Anthropic when they had a valuation of around $18B and messed up by chickening out (it was available on some of the private investor platforms). Up 20x since then ...

It was always obvious that Anthropic's focus on business/API usage had potential to scale faster than OpenAI's focus on ChatGPT, but the real kicker has been Claude Code (released a year ago).

It'd be interesting to know how Anthropic's revenue splits between Claude Code, or coding in general, other API usage, and chat (which I assume is small).
by palata | 2026-02-12 20:45:02+00:00
I can try with fewer words. You say:

> It is tired and lazy to argue that just because some Big Tech has the capability of doing something bad therefore they must already be doing it.

Irrelevant. The comment never said it was "doing something bad", they just said "they know already". Which is most likely to be true. When the user sends a list of nearby WiFis to Google and Google responds with a location, then Google knows where the user is.
by varispeed | 2026-02-12 20:45:13+00:00
Shipping MTE doesn’t refute my point.

MTE is an Arm architectural feature. Apple integrated it, fine. That’s engineering work. But the implementation in Apple silicon and the allocator integration are closed and non-auditable. We have blog posts and marketing language, not independently verifiable source or hardware transparency.

So yes, they deploy mitigations. That doesn’t negate the fact that the trust model is opaque.

Hardening a class of memory bugs is not the same thing as opening the platform to scrutiny. Users still cannot independently verify kernel integrity, inspect enforcement logic, or audit allocator behaviour. Disclosure and validation remain vendor-controlled.

You’re treating ‘we shipped a mitigation’ as proof against ‘the system is closed and PR-heavy.’ Those are different axes.
by necovek | 2026-02-12 20:45:22+00:00
Thanks for the explanation: I disagree with both, though.

Yes, it is hard for customers to understand the determinism behind some software behaviour, but they can still do it. I've figured out a couple of problems with software I was using without source or tools (yes, some involved concurrency). Yes, it is impractical because I was helped with my 20+ years of experience building software.

Any hardware fault might be unexpected, but software behaviour is pretty deterministic: even bit flips are explained, and that's probably the closest to "impossible" that we've got.
by skydhash | 2026-02-12 20:45:34+00:00
Lisp does not have that much syntax for highlighting to be a problem.

Lisp is also a symbolic language. Meaning the code work on symbols, not data, only at evaluation the value of the symbol is known. There’s a lot of symbols manipulation routines like macros, intern, package loading,… that prevent to statically know the code.

It’s why people use the REPL flow.
by renato_shira | 2026-02-12 20:45:34+00:00
the "slowing down" part is the real value imo. i've noticed that the physical friction of writing (even just typing in a plain text file instead of a fancy tool) forces you to compress your thinking in a way that just staring at the problem doesn't.

there's a weird thing where the act of writing "i'm stuck because X" often makes the solution obvious before you finish the sentence. it's like rubber duck debugging but with yourself. i think that's what makes notebooks work for engineering specifically: the bottleneck usually isn't remembering what you did, it's noticing what you're actually thinking while you're doing it.
by espeed | 2026-02-12 20:45:48+00:00
To improve the Claude model, it seems to me that any time Claude Code is working with data, the first step should be to use tools like genson (https://github.com/wolverdude/GenSON) to extract the data model and then create why files (metadata files) for data. Claude Code seems eager to use the /tmp space so even if the end user doesn't care, Claude Code could do this internally for best results. It would save tokens. If genson is reading the GBs of data, then claude doesn't have to. And further, reading the raw data is a path to prompt injection. Let genson read the data, and claude work on the metadata.
by jillesvangurp | 2026-02-12 20:46:16+00:00
Addressing desertification of land is actually pretty smart. It's not pure charity. The land is actually more valuable when it isn't a desert anymore. If the land can support soil and hold water again, it becomes suitable for farming. If you don that sustainably (i.e. don't allow it to turn it back into desert), that adds to the economy.

There's a lot of degraded land all over the world that with a little bit of focus and attention could be upgraded back to something more valuable.

Some example:

- centuries of overgrazing by sheep and goats has turned much of the middle east into a waste land. Simply keeping sheep off the land with some fences can actually restore land within a few years.

- Places like the UK and Ireland used to be covered in Atlantic Rain forest. Forestry and overgrazing has turned much of both countries into land with very low bio diversity. Restoring forests would be a lot of work. But like the middle east, keeping the sheep from destroying new trees before they have a chance to establish themselves would help. Places like Dartmoor are effectively so barren that the only thing that grows there is a type of grass that even sheep don't like.

- Scotland has a lot of planted pine forests that have drowned out native species. Bio diversity is low.

- Parts of Germany have similar issues with lots of production forests having no bio diversity. There's a crisis in parts of Germany where insects are destroying parts of those forests now. The solution is actually just ripping out the production forests and re-introducing native species.

- Prairies in the US used to be kept in check by herds of bison that no longer exist and are no longer able to migrate around. Continuous cattle overgrazing of the same land destroyed much of the land. It no longer recovers in between grazing. And mono culture of low value crops like corn and soy beans isn't helping either.

There are many more examples around the world. The problems vary from area to area but they have in common that local farmers abuse the land and the land then degrades. Soil erosion, problems with water retention, vastly reduced bio diversity, etc. are the result. The other thing they have in common is that putting a stop to the negative behavior tends to revert some of the effects. In some cases fairly quickly even. And as the Chinese show, putting some effort in can actually work. There's no one size fits all solution. But there are plenty of things that can work.
by MarleTangible | 2026-02-12 20:46:28+00:00
I think the initial plan was to introduce lost-kid/elderly plan, but they thought people will be more willing to accept a pet version (pun indented) first.

Also the implementation is quite strange as well. I can imagine a version where the camera itself compares the recorded footage against a well-known database of lost children, just like the milk cartons.
by rayiner | 2026-02-12 20:46:40+00:00
You need to enforce it because illegal immigration is harmful in and of itself, even if the immigrants aren’t criminals or national security threats. Why do we enforce speed limits even when the person doesn’t cause a serious accident? Because the point of the law is to create a deterrent effect that compels people to follow a certain process.

Obama had an easier time deporting people because, at the time, most people in his party accepted the view that illegal immigration is harmful even without some other crime: https://www.foxnews.com/media/2010-obama-clip-goes-viral-whe.... Back then, even most Democrats embraced requiring immigrant to assimilate. If you think assimilation is important, then it naturally follows that we have to control the number of immigrants at a level where America changes them before they change America. Today, many of them reject assimilation in favor of multi-culturalism. If you embrace multi-culturalism, it’s hard to justify any limit on the number of immigrants. And at that point, illegal immigration just becomes a technicality.
by tardis_thad | 2026-02-12 20:47:18+00:00
Hi, i'm on codex pro plan and it silently routes to 5.2 today, WTF? Anyone else gets similar behaviour? I was working with it since morning (UTC) and afternoon sudenly it became much slower and got very different feeling, so I started digging and enabled codex logs and got:

2026-02-12T20:41:12.751950Z TRACE codex_api::sse::responses: SSE event: {"type":"response.completed","response":{"id":"resp_0fc56e20d02a6b5701698e3ae51fac8191a5bae8fc9962662c","object":"response","created_at":1770928869,"status":"completed","background":false,"completed_at":1770928872,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":"...personality.\n...","max_output_tokens":null,"max_tool_calls":null,"model":"gpt-5.2-2025-12-11","
by kmansm27 | 2026-02-12 20:47:20+00:00
Replying to your latest comment here:

What do you mean by syncing? Happy coder syncs sessions between all my happy coder clients. I can even see in real time how happy coder in my browser's conversations progress as well as on my phone, in parallel.

Omnara also displays realtime conversations between all Omnara clients. What I mean by syncing is syncing your conversation and code changes to a cloud sandbox, which is useful if you're using Omnara on your laptop and you close your computer (as explained in the original post). If you run your agents on a persistent cloud VM, then this is less of a value add.

I can voice chat with Happy coder.

We use https://docs.livekit.io/agents/ which runs the voice agent in the cloud (to enable the above use case, and a better experience when you're using your phone when it's off), whereas I believe happy runs a client-side voice agent.
by zozbot234 | 2026-02-12 20:47:36+00:00
All 1T models are not equal. E.g. how many active parameters? what's the native quantization? how long is the max context? Also, it's quite likely that some smaller models in common use are even sub-1T. If your model is light enough, the lower throughput doesn't necessarily hurt you all that much and you can enjoy the lightning-fast speed.
by advisedwang | 2026-02-12 20:48:02+00:00
From the article:

> What if I actually did have dirt on me that an AI could leverage? What could it make me do? How many people have open social media accounts, reused usernames, and no idea that AI could connect those dots to find out things no one knows? How many people, upon receiving a text that knew intimate details about their lives, would send $10k to a bitcoin address to avoid having an affair exposed? How many people would do that to avoid a fake accusation? What if that accusation was sent to your loved ones with an incriminating AI-generated picture with your face on it? Smear campaigns work. Living a life above reproach will not defend you.

One day it might be lose-lose.
by mchusma | 2026-02-12 20:48:16+00:00
Hey, my 9 year old son uses modelrift for creating things for his 3d printer, its great! Product feedback:
1. You should probably ask me to pay now, I feel like i've used it enough.
2. You need a main dashboard page with a history of sessions. He thought he lost a file and I had to dig in the billing history to get a UUID I thought was it and generate the url. I would say naming sessions is important, and could be done with small LLM after the users initial prompt.
3. I don't think I like the default 3d model in there once I have done something, blank would be better.

We download the stl and import to bambu. Works pretty well. A direct push would be nice, but not necessary.
by FloorEgg | 2026-02-12 20:48:44+00:00
The thing I find the most hilarious about all these companies jamming llms in all over the place is that they don't ever put it where it makes the most sense to me - to manage the settings.

They could do away with all these mazes of settings and configurations and just have a little chat thing. You pop open and then tell the AI hey I want to change the background and then it just does it. You could have a huge and complex array of settings that would be a headache to navigate in a typical form format, but a breeze with an llm that has an API into them.

As an aside, another one that I just find hilarious is the LLM implementation into Google sheets. I'll ask it. "Hey how do I do this?" and then it goes "I don't know" and I'm like WTF why is this here
by jvanderbot | 2026-02-12 20:48:52+00:00
This discussion is mostly slowed down, but I wanted to say I was wrong in framing it as a non-contributing point when I should have just stated it was my opinion that the LLM was operating as intended and part of that intended design was taking verbal feedback into account, so verbal feedback was the right response. Opening with calling it a "semantic quibble" made it adversarial, and I don't intend to revisit the argument, just apologize for the wording.

I'd edit but then follow-up replies wouldn't tone-match.

Anyway! Good points regardless.
by platypii | 2026-02-12 20:49:21+00:00
Sylvain Lesage’s cool interactive explainer on visualizing extreme row counts—think billions—inside the browser. His technical deep dive explains how the open-source library HighTable works around scrollbar limits by:

- Lazy loading
- Virtual scrolling (allows millions of rows)
- "Infinite Pixel Technique" (allows billions of rows)

Hyperparam sponsored Sylvain’s work as part of our broader effort to invest in open-source infrastructure and get ahead of the data-scale problems that are emerging with LLMs. With a regular table, you can view thousands of rows, but the browser breaks pretty quickly. We created HighTable with virtual scroll so you can see millions of rows, but that still wasn’t enough for massive unstructured datasets. What Sylvain has built virtualizes the virtual scroll so you can literally view billions of rows—all inside the browser. His write-up goes deep into the mechanics of building a ridiculously large-scale table component in react.
by deepsun | 2026-02-12 20:49:21+00:00
Far from it. Concept of "country" or a "state" are way less artificial. Up until 1924 USA welcomed almost anyone with any background. Many countries don't care about it today. Australia was populated with literal criminals.

The concept of a "state" and its borders is to determine where its laws apply to. Historically, there was rarely even resources to mark the boundary in any meaningful way. But the problem of two kinds claiming sovereignty over a territory got resolved pretty easily -- whoever has the ability to collect taxes (aka tribute). Immigration was not a major concern at all. If anything, a feudal was more concerned of their tax base moving OUT of their jurisdiction, not preventing movement IN.

As I said above, Spain just gave permanent residency to everyone "overstaying" the visa. Does the concept of Spain as a country stopped "meaning something"?

> The US lets the most people in legally in the entire world, and by quite some measure[0]. If you think it's some xenophobic nightmare of a place then that seems an extremely narrow understanding of the world and the US's place in it.

USA immigration process is very hostile, compared to almost any other country in the world (IMO only UK and Switzerland are comparable). I went through it, as well as in other countries, can compare. Why are you so sure I have the "extremely narrow understanding"? Even paying $700+ for just one form, without any guarantees or money back is already sus.
by goatlover | 2026-02-12 20:49:49+00:00
Turing machines are deterministic. Quantum Mechanics is not, unless you go with a deterministic interpretation, like Many Worlds. But even then, you won't be able to compute all the branches of the universal wave equation. My guess is any deterministic interpretation of QM will have a computational bullet to bite.

As such, it doesn't look like reality can be fully simulated by a Turing machine.