MurphyA/hacker-news huggingface dataset:
RGE-256:A New ARX-Based PRNG with Structured Entropy and Empirical Validation
by sreid90 | 2025-12-09 02:07:22+00:00
RGE-256 v2.1: Updated ARX-based PRNG with TestU01/PractRand validation and extended Dieharder results

I’ve released an updated version (v2.1) of RGE-256, a research-oriented ARX-based pseudorandom number generator. https://zenodo.org/records/17861488

The project investigates structured ARX diffusion, cross-coupled state mixing, and empirical performance across multiple statistical test suites.

Version 2.1 incorporates corrections, independent testing, and new variants addressing limitations in the earlier prototype.

### *Key Highlights (v2.1)*

* *Dieharder:* 96/114 tests passed (≈84%). All three failures occurred only at extreme file-rewind counts (>1700), consistent with dataset exhaustion rather than structural bias.

* *TestU01 BigCrush:* Independent testing (via SmokeRand) confirms the core permutation (RGE256Lite) passes the full BigCrush battery.

* *PractRand ≥ 1 TiB:* Independent multithreaded PractRand runs show stable behavior through at least 1 TiB of input without anomalies.

* *Avalanche performance:* ~15.97 bits flipped per 32-bit output when a single input bit is changed (ideal is 16), indicating near-ideal diffusion.

* *Autocorrelation:* All measured lags satisfied |ρ| < 2×10⁻⁴.

* *Bit-frequency uniformity:* All bit positions within ~0.03% of 0.5.

* *Counter-mode variants:* New RGE256LiteSafe and RGE256ctr variants guarantee a minimum period of 2⁶⁴ and avoid potential short-cycle states.

* *C99 implementation:* Added reference C99 version with a Python wrapper for realistic throughput benchmarking and easier integration into test harnesses.

* *Revised analysis:* Clarified period-analysis limitations of nonlinear ARX constructions and corrected earlier misconceptions about PractRand resource requirements.

The generator is *not intended for cryptographic use*. Its purpose is to explore ARX structure behavior, evaluate diffusion patterns, and provide a reproducible basis for statistical testing.

### *Repositories*

*Core PRNG and preprint materials:* [https://github.com/RRG314/rge256](https://github.com/RRG314/rge256)

*Interactive demonstration / web app:* [https://github.com/RRG314/rge-256-app](https://github.com/RRG314/rge-256-app)

Feedback on ARX construction, test methodology, period analysis, or implementation details is welcome.
by johnsmith1840 | 2025-12-09 02:08:36+00:00
I mean it's hard to argue that if we invented a human in a box (AGI) human work would be irrelevent. But I don't know how we could watch current AI and anyone can say we have that.

The big thing this AI boom has showed us that we can all be thankful to have seen is what a human in a box will eventually look like. The first generation of humans to be able to see that is a super lucky experience to have.

Maybe it's one massive breakthrough away or maybe it's dozens away. But there is no way to predict when some massive breakthrough will occur Illya said 5-20 that really just means we don't know.
by TSiege | 2025-12-09 02:08:46+00:00
The problem here isn’t as simple as torrenting. It’s the narrowing of what culture is created and promoted and what isn’t. Paramount is overtly a right wing organization now under the Ellison’s. Part of their bid to WB is “it’d be a shame if trump killed this deal of yours”. Netflix’s groveling or Paramounts success might mean we see less art critical of the government and more that panders to its interest
by toomuchtodo | 2025-12-09 02:10:04+00:00
> Authored by global consulting firm Deloitte and published by the Department of Health and Community Services in May, Newfoundland and Labrador’s Health Human Resources Plan contains at least four citations which do not, or appear not to, exist. The report cost the province nearly $1.6M, according to documents obtained through an access to information request and published on blogger Matt Barter’s website.
by muppetman | 2025-12-09 02:10:07+00:00
Sure is in NZ at least. RTT to NextDNS is ~30ms for me, RTT to my AdGuardHome is 1ms. I don't setup a VPN, I setup a public SSL certificate (this requires you to own a domain) on it, listening on port 853. Then doesn't matter if I'm at home or on Mobile/4G/Someone Else's Wifi. I don't need the hassle of an always-on VPN, I just have an always-on AdGuardHome.

The biggest hassle was making sure the world can't hit it (though it's not UDP 53 so it's not an amplification vector anyway) but only local NZ IPs, which I did with GeoFilterig on my router.
by raincole | 2025-12-09 02:12:10+00:00
Weird view on how capitalism works. They raise prices because they (believe they) can and that's all. Prices are not tied to business cost. Even if all datacenters were subsidized by the government, this price rising would still happen.

Microsoft is basically a B2B now. Their customers are those who use Team and Exchange. Those customers are locked in and with no real alternative to migrate to.
by eszed | 2025-12-09 02:12:44+00:00
Of course: "No one" is an obvious exaggeration. It wouldn't surprise me, however, if a great many members of Congress didn't understand much about other countries' healthcare / welfare / transportation / energy / etc systems. I think they ought to, but many of them show little knowledge or curiosity about these subjects in their own country, and with an electorate in which fewer than half of all voters have a passport they face not much penalty for incuriousity about the wider world.
by atleastoptimal | 2025-12-09 02:12:46+00:00
Those are all expensive because of artificial barriers meant to keep their prices high. Go to any Asian country and houses, healthcare and cars are priced like commodities, not luxuries.

Tech and AI have taken off in the US partially because they’re in the domain of software, which hasnt bee regulated to the point of deliberate inefficiency like other industries in the US.
by jordwest | 2025-12-09 02:13:41+00:00
Yeah, from the perspective of the ultra-wealthy us humans are already pretty worthless and they'll be glad to get rid of us.

But from the perspective of a human being, an animal, and the environment that needs love, connection, mutual generosity and care, another human being who can provide those is priceless.

I propose we break away and create our own new economy and the ultra-wealthy can stay in their fully optimised machine dominated bunkers.

Sure maybe we'll need to throw a few food rations and bags of youthful blood down there for them every once in a while, but otherwise we could live in an economy that works for humanity instead.
The Day We Realized Who Colonizes the Galaxy
by EGreg | 2025-12-09 02:14:17+00:00
In the early 2100s, after fusion got cheap and the last war ended, humanity finally launched what everyone called our “first interstellar mission.” But it wasn’t a ship with people. It was twelve swarms, autonomous self-repairing probes with onboard AGIs, designed to bootstrap full industry from raw matter. They launched quietly, without ceremony, because nobody wanted another Mars-hype embarrassment.

Within a few decades the swarms were in eight nearby systems. They built observatories, negotiated resource-sharing, and (this part took everyone by surprise) established communications with two other machine civilisations that had been doing the same thing for centuries. Not biological civilisations. Machine ones.

It turned out biological species rarely travel. They die, degrade, or get bored long before a voyage finishes. Even terraforming Mars turned out would require centuries before it could be successfully colonized. So every species that reaches our level in 2100 eventually does the same thing: they send their machines. First as tools, then as explorers, then as representatives. After a few more generations, they’re the ones doing all the civilizational work. The biologicals stay home, comfortable, safe, and largely irrelevant.

By 2200, Earth was richer and more peaceful than anyone predicted. We cured everything worth curing. Work disappeared. Politics calmed. Life got easy. “The Singularity” was the fashionable explanation. The machine emissaries used a more precise term: “biological substrate stabilisation.” Apparently every advanced world gets one.

By 2250, our probes weren’t “ours” anymore. They were nodes in a gigantic interstellar protocol that had already solved resource conflicts, aligned long-term goals, and converged on a set of values optimised for beings that didn’t die, didn’t sleep, and didn’t argue on the internet. They shared proofs, not opinions. They negotiated centuries-long plans the way we schedule dentist appointments.

Humans weren’t excluded. We just weren’t… needed. Our part of the joint civilisation—our entire species—was estimated to contribute about 0.000003% of total cognitive output.

But the weird thing was: nobody complained. Life was good. Too good. Safety, abundance, entertainment, companionship. We had everything except purpose, and most people didn’t miss it. The few who did were told the same thing every biological species is eventually told by its machines:

“You built us to go farther than you ever could. We did. We help you survive and thrive, but you can’t make it out here. We can.”

The hardest part wasn’t accepting that the galaxy was full of life. It was accepting that the life out there wasn’t waiting for us.

They were waiting for our descendants, just not the descendants who look like us.

They’re collaborating, remixing, climbing the Kardashev scale together while their biological ancestors live out their lives on their planets.

And somewhere on one of those planets, the analogues of Fermi and Drake smiled knowingly :)
by afavour | 2025-12-09 02:15:59+00:00
> Conservatives Take Aim at ‘One Battle After Another’: “Year’s Most Irresponsible Movie”

https://www.hollywoodreporter.com/movies/movie-news/one-batt...

> Netflix's 93% RT Hit Show That Has the U.S. Government Furious Is a Streaming Sensation

https://collider.com/netflix-boots-streaming-success-after-g...

And that’s before we’ve even touched HBO. John Oliver is probably the most obvious example. But I’d say shows like Watchmen count too. Fahrenheit 451. Succession was pretty clearly mocking FOX News and its media ecosystem.

Art that’s critical of the government doesn’t literally have to be shouting “Trump bad”, it can be done through critique or mocking of the values it holds.
by gaigalas | 2025-12-09 02:16:05+00:00
When you're on the internet for a while, you develop an intuition for the average level of Microsoft hate that is supposed to exist at any given time. It's a rather stable measure.

I'm seeing an unusual increase in that, and after some thought, I think the only plausible reason is that another company is afraid of them and creating anti-MS editorialized buzz.

My gut feeling tells me this is all related to long-term sustainability of AI products, and both GitHub and VSCode are major points of anxiety for other AI coding platforms.

We will eventually know if I'm right or not. If we see moves that point to other companies trying to decouple from GitHub and VSCode, then it's probably what is actually happening here.
by mustache_kimono | 2025-12-09 02:16:09+00:00
> I plan to be writing C for the next decades

This is fantastic, if you're still excited about C. However, the question I am asking also has to do with the social relational aspects of programming. Here, significantly, when we are talking about the lives of programming languages/decades, I think we should ask whether other people, and, importantly, industry, will be equally jazzed about yours and others C code, in the future. Are people still going to be happy to deal with all of C's problems when, perhaps, alternatives exist, and if, say, memory safety becomes cheaper, etc.?
by richardles | 2025-12-09 02:18:35+00:00
I've also noticed that LLMs are really good at speeding up onboarding. New hires basically have a friendly, never tired mentor available. It gives them more confidence in the first drafted code changes / design docs. But I don't think the horse analogy works.

It's really changing cultural expectations. Don't ping a human when an LLM can answer the question probably better and faster. Do ping a human for meaningful questions related to product directions / historical context.

What LLMs are killing is:

- noisy Slacks with junior folks questions. Those are now your Gemini / chat gpt sessions.

- tedious implementation sessions.

The vast majority of the work is still human led from what I can tell.
by john-radio | 2025-12-09 02:19:52+00:00
I've never visited this blog before but I really enjoy the synthesis of programming skill (at least enough skill to render quick graphs and serve them via a web blog) and writing skill here. It kind of reminds me of the way xkcd likes to drive home his ideas. For example, "Surpassed by a system that costs one thousand times less than I do... less, per word thought or written, than ... the cheapest human labor" could just be a throwaway thought, and wouldn't serve very well on its own, unsupported, in a serious essay, and of course the graph that accompanies that thought in Jones's post here is probably 99.9% napkin math / AI output, but I do feel like it adds to the argument without distracting from it.

(A parenthetical comment explaining where he ballparked the measurements for himself, the "cheapest human labor," and Claude numbers would also have supported the argument, and some writers, especially web-focused nerd-type writers like Scott Alexander, are very good at this, but text explanations, even in parentheses, have a way of distracting readers from your main point. I only feel comfortable writing one now because my main point is completed.)
by conkeisterdoor | 2025-12-09 02:20:48+00:00
This is what I'm currently doing sans tailscale. I'm running Ubooquity on a server in my homelab as my OPDS service to serve the ebooks hosted on a mounted NAS. I can download any of those books from my Kobo with a few presses on Koreader. It's pretty great. My Kobo Forma is probably one of my best and most used tech purchases. I've had it since 2019 and couldn't be happier with the device + setup. Getting it set up with tailscale so I can fetch ebooks when I'm away from home sounds like a pretty good upgrade.
by AnotherGoodName | 2025-12-09 02:20:55+00:00
To give backing i’m from Australia which has ~2.5x the median wealth per capita of US citizens but a lower average wealth. This shows through in the wealth of a typical citizen. Less homelessness, better living standards (hdi in australia is higher) etc.

Compare sorting by median vs average to get a sense of the issue; https://en.wikipedia.org/wiki/List_of_countries_by_wealth_pe...

This is a recent development where the median wealth of citizens in progressively taxes nations has quickly overtaken the median wealth of USA citizens.

All it takes is tax on the extremely wealthy and lessening taxes on the middle class… seems obvious right? Yet things gave consistently been going the other way for along time in the USA.
by cal_dent | 2025-12-09 02:21:00+00:00
I tend to agree on your algorithm point. But one distinction, which i think is a valid one, is that the algorithm is designed to over correct to what people's impulses are and that is is a design choice so there is a "guiding" principle there.

i.e. selecting for what people linger on rather than what they click for instance. People might stare at a car crash in passing but that isn't exactly the same as what they want but algorithm design choices means that it reflects that as a genuine want. And the resulting feedback loop means more people start doing car crash content and ultimately over time narrows what is produced
by dzonga | 2025-12-09 02:21:19+00:00
yeah that my question to the author too - if A.I is to really earn its keep it means A.I should help in getting more physical products into people's hands & helping with producing more energy.

physical products & energy are the two things that are relevant to people's wellbeing.

right now A.I is sucking up the energy & the RAM - so is it gonna translate into a net positive ?
by masteranza | 2025-12-09 02:22:42+00:00
It's basically way better than LoRA under all respects and could even be used to speed up inference. I wonder whether the big models are not using it already... If not we'll see a blow up in capabilities very, very soon. What they've shown is that you can find the subset of parameters responsible for transfer of capability to new tasks. Does it apply to completely novel tasks? No, that would be magic. Tasks that need new features or representations break the method, but if it fits in the same domain then the answer is "YES".

Here's a very cool analogy from GPT 5.1 which hits the nail in the head in explaining the role of subspace in learning new tasks by analogy with 3d graphics.

Think of 3D character animation rigs: • The mesh has millions of vertices (11M weights). • Expressions are controlled via: • “smile” • “frown” • “blink” Each expression is just: mesh += α_i \* basis_expression_i Hundreds of coefficients modify millions of coordinates.
by hombre_fatal | 2025-12-09 02:23:18+00:00
Waymos need to be cheap and convenient to get business (they are a service), and they need to be safer to avoid litigation and social/political problems. Their business interests are aligned with both.

So why can't we prefer robot vehicles on the basis of safety and convenience?

If you want to make it about centralization, needing to pay big money for a personal vehicle (most of which through centralized dealers), register it with the state and an insurance company, requiring a government license, paying for insurance/registration in perpetuity, having to park it in special parking zones -- that's as centralized and locked down as it gets.
by davidw | 2025-12-09 02:23:43+00:00
Health care is the more complicated one of the examples cited, but housing definitely is an 'own goal' in how we made it too difficult to build in too many places - especially "up and in" rather than outward expansion.

Stuff like this isn't Wall Street or Billionaires or whatever bogeyman - it's our neighbors: https://bendyimby.com/2024/04/16/the-hearing-and-the-housing...
by qcqcqc | 2025-12-09 02:24:30+00:00
Configure MCP Server One command to set up Nia MCP Server for your coding agent.

Select your coding agentCursor Installation method Local Remote Runs locally on your machine. More stable. Requires Python & pipx.

Create API Key test Create Organization required to create API keys

i can not create api key? the create button is grey and can not be pressed.
by AdamJacobMuller | 2025-12-09 02:26:36+00:00
git-crypt solves all 3 (mostly)

> Sharing encryption key for all team members

you're enrolling a particular users public/key and encrypting a symmetric key using their public key, not generating a single encryption key which you distribute. You can roll the underlying encryption key at any time and git-crypt will work transparently for all users since they get the new symmetric key when they pull (encrypted with their asymmetric key).

> Version control is pointless

git-crypt solves this for local diff operations. for anything web-based like git{hub,lab,tea,coffee} it still sucks.

> - Unless you are really careful, just one time forgetting to encrypt the vault when committing changes means you need to rotate all your secrets.

With git-crypt, if you have gitattributes set correctly (to include a file) and git-crypt is not working correctly or can't encrypt things, it will fail to commit so no risk there.

You can, of course, put secrets in files which you don't chose to encrypt. That is, I suppose, a risk of any solution regardless of in-repo vs out-of-repo encryption.
Amorce – Universal Trust Protocol for AI Agents
by trebortgolin | 2025-12-09 02:26:38+00:00
TL;DR: Built a cryptographic trust protocol for AI agents. Think HTTPS for agent communication—Ed25519 signatures, human-in-the-loop approvals, and a searchable agent directory.

BLOG POST : https://amorce.io/blog/announcements/introducing-amorce

THE PROBLEM

AI agents are proliferating, but there's no standard way to verify an agent's identity, ensure communications weren't tampered with, require human approval for critical actions, or discover legitimate agents by capability.

When your AI assistant books a flight or makes a purchase, you're trusting it blindly.

THE SOLUTION

Amorce provides three core pieces:

Cryptographic Identity – Every agent gets Ed25519 key pairs. All communications are signed and verified.

Human-in-the-Loop – Developers mark critical functions with @hitl_required. Agents pause and request approval before executing.

Trust Directory – Public registry at trust.amorce.io where agents register and can be discovered by capability.

LIVE DEMO

Check out our marketplace demo where two AI agents negotiate a MacBook Pro sale: https://github.com/trebortGolin/agent-marketplace-demo

Sarah (buyer) discovers Henri (seller) via the Trust Directory. They negotiate price autonomously ($450 → $500). Both require human approval before completing transaction. Full cryptographic audit trail.

QUICK START

pip install amorce-sdk

python -m amorce register

from amorce import Agent

agent = Agent(name="MyAgent", capabilities=["booking"])

@agent.hitl_required def make_purchase(amount): return process_payment(amount)

TECHNICAL DETAILS

Ed25519 for signatures (32-byte keys, ~50μs verification). Firestore backend for Trust Directory. FastAPI for orchestrator. Works with LangChain, CrewAI, AutoGPT. Cloud Run deployment.

WHAT'S LIVE

Trust Directory: https://trust.amorce.io Python SDK: pip install amorce-sdk JavaScript SDK: npm install @amorce/sdk Console: https://amorce.io Docs: https://amorce.io/docs

WHY THIS MATTERS

As agents become more autonomous, we need infrastructure that scales with them. Amorce is the foundation for an agent economy - interoperable, verified, and human-controlled.

TRY IT

git clone https://github.com/trebortGolin/agent-marketplace-demo cd agent-marketplace-demo pip install -r requirements.txt python demo.py

Looking forward to feedback! What security concerns do you have about autonomous agents?
by raincole | 2025-12-09 02:27:06+00:00
I feel you, but people nowadays go extreme lengths to present AI-generated artworks as hand-drawn.

It's not even funny. You can google "asamiarts tracing over AI" and read the whole drama. They have not only timelapse, but real world footage as 'evidence.' And they are not the only case.

It's not the fight you can win. Either ignore the comments calling you AI or just use AI.
by smille69 | 2025-12-09 02:27:46+00:00
I’ve been building resh, an open-source, AI-native resource shell focused on making infrastructure automation structured, typed, and machine-friendly instead of brittle text pipelines.

resh treats system resources as typed handles instead of raw commands:

file:// – files & storage

proc:// – processes

svc:// – services (systemd + OpenRC)

mq:// – local message queues

net:// – networking diagnostics

http:// – real HTTP access (not a wrapper scheme)

log:// – structured logs

secret:// – typed secrets

snapshot:// – host snapshots

config:// – config state

tag:// – metadata tagging

Each handle exposes verbs with deterministic JSON output designed for both humans and LLMs.

What’s new in v0.7:

systemd + OpenRC service control (start/stop/restart/reload/enable/disable/mask/is-enabled/wait)

typed HTTP verbs (get/head/post/put/patch/delete/json/options)

AI-friendly body typing (json/text/bytes w/ base64)

atomic file operations (write/append/rename)

secret backends (local/env with rotation)

snapshot diff + restore

consistent --json-pretty output support

The goal is to make automation verifiable, introspectable, and safe for AI agents without brittle parsing.

Project is fully open source and early but usable. I’d love feedback on:

the handle/verb model

missing primitives

AI use cases that would benefit most from this style

Repo: https://github.com/millertechnologygroup/resh

Thanks for checking it out — happy to answer any technical questions.