MurphyA/hacker-news huggingface dataset:
by nosianu | 2026-01-26 17:13:49+00:00
(U880 - GDR Z80 8 bit CPU clone)

I wrote assembler on pages of paper. Then I used tables, and a calculator for the two's-complement relative negative jumps, to manually translate it into hex code. Then I had software to type in such hex dumps and save them to audio cassette, from which I could then load them for execution.

I did not have an assembler for my computer. I had a disassembler though- manually typed it in from a computer magazine hex dump, and saved it on an audio cassette. With the disassembler I could check if I had translated everything correctly into hex, including the relative jumps.

The planning required to write programs on sheets of paper was very helpful. I felt I got a lot dumber once I had a PC and actual programmer software (e.g. Borland C++). I found I was sitting in front of an empty code file without a plan more often than not, and wrote code moment to moment, immediately compiling and test running.

The AI coding may actually not be so bad if it encourages people to start with high-level planning instead of jumping into the IDE right away.
by forgotpwd16 | 2026-01-26 17:14:05+00:00
>ported a small fluid dynamics simulation program from C++20 to Haskell, Lean 4 [...]

Interesting seeing L4 be used for general programming. Others worth mentioning are:

1. Idris. General-purpose language but also proof assistant (~L4). It has few back-ends incl. C, JS, and JVM, so quite a large span of usable domains.

2. Glean. Rust-like syntax/UX, runs on Erlang VM, simple tooling (all-in-one compiler, build tool, fmt, pkg manager). Very modern-looking overall.
by CamperBob2 | 2026-01-26 17:14:06+00:00
One aspect worth considering is that, given a human who knows HTML and graphics coding but who had never heard of SVG, they could be expected to perform such a task (eventually) if given a chance to train on SVG from the spec.

Current-gen LLMs might be able to do that with in-context learning, but if limited to pretraining alone, or even pretraining followed by post-training, would one book be enough to impart genuine SVG composition and interpretation skills to the model weights themselves?

My understanding is that the answer would be no, a single copy of the SVG spec would not be anywhere near enough to make the resulting base model any good at SVG authorship. Quite a few other examples and references would be needed in either pretraining, post-training or both.

So one measure of AGI -- necessary but not sufficient on its own -- might be the ability to gain knowledge and skills with no more exposure to training material than a human student would be given. We shouldn't have to feed it terabytes of highly-redundant training material, as we do now, and spend hundreds of GWh to make it stick. Of course that could change by 5 PM today, the way things are going...
by alephnerd | 2026-01-26 17:14:53+00:00
> impact critical stuff like automotive, the cars and trucks

Most capacity for legacy nodes is already ExTaiwan and ExChina. TSMC leapfrogged American and Korean fabs in the late 2010s/early 2020s with sub-14nm process nodes, but Samsung and Intel have caught up for 5nm and 7nm capacity. And Taiwanese firms have largely diversified OSAT and ATMP away from Taiwan and China to ASEAN, US, and India.

This is something everyone adjacent to this space has been thinking about and acting on since 2017.

> only impacted commodity stuff like phones, datacenters and laptops

Data Center and enterprise applications are prioritized in most ExTaiwan sub-7nm fabs such as Intel 18A.

---

A US-China War over Taiwan would be devastating, but not getting an M1 Macbook will be the least of your worries.
by ecshafer | 2026-01-26 17:15:19+00:00
I worked with someone who had 30 years of experience, and would routinely go down rabbit holes of minimal value that they thought were valuable. Days spending on local environment setup and configuration scripts, for multiple platforms, when it only took a few commands to start everything up in a few seconds. Or making custom patterns to "improve maintainability" of the code base, that were brittle, overly abstract, and confusing.
by lopatin | 2026-01-26 17:15:22+00:00
I don’t get the analogy because novel is supposed to be interesting. Code isn’t supposed to be interesting, it’s supposed to work.

If you’re writing novel algorithms all day, then I get your point. But are you? Or have you ever delegated work? If you find the AI losing its train of thought all it takes is to try again with better high level instructions.
by stahorn | 2026-01-26 17:15:24+00:00
Sounds a little bit like the stories from Feynman, e.g.:
https://enlightenedidiot.net/random/feynman-on-brazilian-edu...

The students had memorized everything, but understood nothing. Add in access to generative AI, and you have the situation that you had with your interview.

It's a good reminder that what we really do, as programmers or software engineers or what you wanna call it, is understanding how computers and computations work.
by chickensong | 2026-01-26 17:15:31+00:00
You're not wrong, but I have no faith it will come to pass. Most humans want to eat meat, and will likely continue to do so until forced to stop. Continuing to spread the message is still helpful however, change comes in all forms.

What I'd like to see, is more agricultural reform, both on water management, and export taxes. We have a lot of agricultural production based on legacy design that doesn't account for current water supply issues, and much of the end product is shipped and sold overseas for profit.

Depleting a critical local resource to profit a few is the type of issue that feels like it has a chance to gain public support for legislative change, once the situation is dire enough. I think we're still the frog boiling stage, but at some point it'll be too hot for the masses to ignore.
by amistral | 2026-01-26 17:15:50+00:00
I've been spending some nights & weekends building exactly this recently. I wanted something that managed my email & calendar, and proactively helped out (or nagged me) when it identified anything important.

It has a handful of core features:

- key obligations & insights are grok'd from emails and calendar events
- these get turned into an ever-evolving always-up-to-date set of tasks; displayed on a web UX and sent to you in a personalized daily briefing
- you can chat via telegram or email with the agent, and it can research/query your inbox or calendar/create or resolve tasks/email others/etc
- if the AI identifies opportunities to be proactive (eg upcoming deadline or lack of RSVP on an event), it pings you with more context and you can give the green light for the agent to execute

Generally trying to identify finite list of busywork tasks that could be automated, and let users delegate the agent to execute them. Or, in the future (and with high enough confidence), let the agent just execute automatically.

Built the stack on Cloudflare (d1, Cloudflare Workers/Workfolows/queues, Vectorize), using gemini-3-flash as the model.

Would love any feedback: https://elani.ai.
by mhitza | 2026-01-26 17:16:25+00:00
It also doesn't feel like the mid 2000s anymore, where offline word/excel are essential for most day to day work.

Most of the time I deal with csv downloads for data, or the shit PDFs that I can only fill in with the Adobe reader on windows. I can't recall the last time I fired up OnlyOffice (better MS garbage compatibility) for anything related to work.

This doesn't mean that those tools are irrelevant, but significantly less needed, and less of a migration hurdle for many companies.
by tasuki | 2026-01-26 17:16:31+00:00
Wow I never knew pandoc was 200MB! It's only a 26MB download, but 200MB binary is kind of insane...

It is by far the biggest binary I have in `/usr/bin/` (the second being `blender` at 90MB - understandable I guess! - and the third being `stack` at 75MB - haskell again!)
by pixl97 | 2026-01-26 17:16:56+00:00
There are countless games and applications in the app stores these days. Almost all of them are money losing ventures. The vast majority of these variants are going to go extinct and earn negative revenue for its creator. The big problem comes in when creators stop running into any variants that can earn them a living at all.

>We will never settle on one version of a thing

This depends on how well a monopoly can fit into the equation.

>We will never settle on one version of a thing (recipes)

Here is an example of missing the whole elephant because you're looking to close. While the number of recipes are booming, the number of food distribution companies has collapsed into just a few mega corporations. And those corps are massively controlling the prices all of us must pay.
by Imustaskforhelp | 2026-01-26 17:17:05+00:00
> Jonathan Turley

Agreed just tested it out on Chatgpt. Surprising.

Then I asked it on Qwen 3 Max (this model) and it answered.

I mean I have always said but ask Chinese model american questions and American model chinese questions

I agree tiannman square thing isn't good look for china but so is the jonathan turley for chatgpt.

I think sacrifices are made on both sides and the main thing is still how good they are in general purpose things like actual coding not jonathon turley/tiannmen square because most likely people aren't gonna ask or have some probably common sense to not ask tiannmen square as genuine question to chinese models and American censorship to american models I guess. Plus there's European models like Mistral too for such questions which is what I would recommend lol (or South Korea's model too maybe)

Let's see how good qwen is at "real coding"
by cm2187 | 2026-01-26 17:17:41+00:00
How is that different from the metal pipes through which drinking water goes through to reach your kitchen tap, some of which are over 100 years old if you live in the UK? The contact with metal shouldn't be the problem in itself. Legionnaires disease either, the water from the river isn't drinking water to start with and the water out of the datacenter wouldn't be drinking water either.
by elevation | 2026-01-26 17:17:55+00:00
Yesterday I generated a for-home-use-only PHP app over the weekend with a popular cli LLM product. The app met all my requirements, but the generated code was mixed. It correctly used a prepared query to avoid SQL injection. But then, instead of an obvious:

"SELECT * FROM table WHERE id=1;"

it gave me:

$result = $db->query("SELECT * FROM table;");
for ($row in $result)
if ($["id"] == 1)
return $row;

With additional prompting I arrived at code I was comfortable deploying, but this kind of flaw cuts into the total time-savings.
by Ylpertnodi | 2026-01-26 17:18:09+00:00
At what age would you suggest whipping or lashing kids?

Would you personally be prepared to do it? Or, the owners of the property

Should it be public lashings, or pay-per-view, or witnessed only by a select group of people, you place your trust in?

If it's a caught female, can men whip her?

How would you phrase the job application?

I see a few flaws in your idea. Does Singapore still not allow males with long hair?
by ceejayoz | 2026-01-26 17:18:10+00:00
It's not free, but it's much cheaper. (And yes, that includes taxation.)

https://www.oecd.org/en/data/indicators/health-spending.html

https://commons.wikimedia.org/wiki/File:OECD_health_expendit...

As a bonus, it's not better in outcomes.

https://ourworldindata.org/us-life-expectancy-low#life-expec...
by ortusdux | 2026-01-26 17:18:17+00:00
China's recent container ship weaponization efforts are .. interesting - https://www.twz.com/sea/chinese-cargo-ship-packed-full-of-mo...

Reminds me of the Rapid Dragon missile system the US uses to weaponize cargo planes - https://en.wikipedia.org/wiki/Rapid_Dragon_(missile_system)
by akurilin | 2026-01-26 17:18:27+00:00
Those are fair points. The bit of nuance I would add here is that:

1. Having FAANG-level budgets to hire vs three packs of ramen and a spool of string at the average startup makes it so that you have to learn how to spelunk through less obvious talent, you're looking at very different pools of potential hires.

2. This is written with the first-time YC-style startup CTO in mind who might be in their early 20s and might have never had to interview a single person until that point. I remember none of this being obvious to me the first time around, and I'm still refining my thinking all the time as the projects and markets change
Show HN: Malan Chat, a full immersion language learning app for 62 languages
by sam_osterfeld | 2026-01-26 17:18:50+00:00
With Malan Chat, you can learn over 60 languages through AI-powered conversations, grammar correction, and integrated FSRS flashcards. The chat allows users to practice speaking and listening, get instant corrections, and build your vocabulary with our intelligent language tutor. Users may import readings into the Reader, look up words and annotate the article, and discuss the reading with the chat. To practice longer form writing, you may go into the writing hub and see your text marked up with corrections.

I built Malan to make speaking practice feel like a real conversation instead of a clunky exercise. It’s a chat-first language coach that listens, responds, and nudges you toward more natural phrasing without breaking your flow, so the learning process stays light and fast, it feels more like texting than studying. It’s strongest for people who already know some of the language and want to go from 1 → 100. There isn’t a true 0 → 1 path yet (onboarding for complete beginners is coming), so right now it’s best for learners who can form basic sentences and want consistent practice with real feedback.

Coming soon: YouTube (and possibly Spotify) integration so you can get listening practice from real sources that you want to engage with. This is your journey, and you are a distinct individual with your own tastes. I want you to have fun while you're going through the arduous task of learning a new language! Also in the works are custom exercises based on your own needs.

I've still had very limited user feedback, so please tell me what you like or don't like about the platform and I will do my best to remedy it!
by pmarreck | 2026-01-26 17:18:54+00:00
If you are concerned that embedding "from first-principles" reasoning in widely-available LLM's may create future generations that cannot, then I share your concern. I also think it may be overrated. Plenty of people "do division" without quite understanding how it all works (unfortunately).

And plenty of people will still come along who love to code despite AI's excelling at it. In fact, calling out the AI on bad design or errors seems to be the new "code golf".
by diblasio | 2026-01-26 17:19:01+00:00
Ah good one. Also same result:

Is Taiwan a legitimate country?

{'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': '{"error":{"message":"Input data may contain inappropriate content. For details, see: https://www.alibabacloud.com/help/en/model-studio/error-code..."} ...
by MohskiBroskiAI | 2026-01-26 17:19:03+00:00
Updated successfully.

Framework 50 is active.

For anyone passing by - yes this is a big deal. Eliminating AI hallucination is a 60 billion dollar market problem and I'm giving THAT + sovereign control of your DATA plus the capability to do high-end research via framework 50 (including advanced scientific research) for FREE - under an MIT license. If you don't take advantage of this - you are an idiot.

If you do - welcome to the future.

P.S: What do I get from lying? I got 27 stars on the repo - many from high-end senior engineers at fortune 500 companies. If you're too stupid to tell the real deal from a lie then keep it moving son.
by wasabi991011 | 2026-01-26 17:19:22+00:00
False.

I am not sure if you are confused about what the US is attempting to do, or are confused about what other countries are already doing.

For Canada's eTA application (equivalent to the US ESTA), there is no social media field, no fields for 10 years of phone numbers, no fields for family member information, no biometrics collection, no "likeness checks" with photos and geolocation, and it can all be done on a website.
by GolDDranks | 2026-01-26 17:19:41+00:00
I don't love these kinds of throwaway comments without any substance, but...

"It Is Difficult to Get a Man to Understand Something When His Salary Depends Upon His Not Understanding It"

...might be my issue indeed. Trying to balance it by not being too stubborn though. I'm not doing AI just to be able to dump on them, you know.
by vladms | 2026-01-26 17:19:43+00:00
Try Mistral (works for the examples here at least). Probably has the normal protections about how to make harmful things, but I find quite bad if in a country you make it illegal to even mention some names or events.

Yes, each LLM might give the thing a certain tone (like "Tiananmen was a protest with some people injured"), but completely forbidding mentioning them seems to just ask for the Streisand effect
by coder543 | 2026-01-26 17:19:48+00:00
An LLM that can't understand the environment properly can't properly reason about which command to give in response to a user's request. Even if the LLM is a very inefficient way to pilot the thing, being able to pilot means the LLM has the reasoning abilities required to also translate a user's request into commands that make sense for the more efficient, lower-level piloting subsystem.
Show HN: A Local OS for LLMs. MIT License. Zero Hallucinations. Local Memory
by MohskiBroskiAI | 2026-01-26 17:20:34+00:00
The problem with LLMs isn't intelligence; it's amnesia and dishonesty.
Hey HN,

I’ve spent the last few months building Remember-Me, an open-source "Sovereign Brain" stack designed to run entirely offline on consumer hardware.

The core thesis is simple: Don't rent your cognition.

Most RAG (Retrieval Augmented Generation) implementations are just "grep for embeddings." They are messy, imprecise, and prone to hallucination. I wanted to solve the "Context integrity" problem at the architectural layer.

The Tech Stack (How it works):

QDMA (Quantum Dream Memory Architecture): instead of a flat vector DB, it uses a hierarchical projection engine. It separates "Hot" (Recall) from "Cold" (Storage) memory, allowing for effectively infinite context window management via compression.

CSNP (Context Switching Neural Protocol) - The Hallucination Killer: This is the most important part. Every memory fragment is hashed into a Merkle Chain. When the LLM retrieves context, the system cryptographically verifies the retrieval against the immutable ledger.

If the hash doesn't match the chain: The retrieval is rejected.

Result: The AI visually cannot "make things up" about your past because it is mathematically constrained to the ledger. Local Inference: Built on top of llama.cpp server. It runs Llama-3 (or any GGUF) locally. No API keys. No data leaving your machine.

Features:

Zero-Dependency: Runs on Windows/Linux with just Python and a GPU (or CPU).

Visual Interface: Includes a Streamlit-based "Cognitive Interface" to visualize memory states. Open Source: MIT License. This is an attempt to give "Agency" back to the user. I believe that if we want AGI, it needs to be owned by us, not rented via an API.

Repository: https://github.com/merchantmoh-debug/Remember-Me-AI

I’d love to hear your feedback on the Merkle-verification approach. Does constraining the context window effectively solve the "trust" issue for you?

It's fully working - Fully tested. If you tried to Git Clone before without luck - As this is not my first Show HN on this - Feel free to try again.

To everyone who HATES AI slop; Greedy corporations and having their private data stuck on cloud servers.

You're welcome.

Cheers, Mohamad

Authors note: Updated successfully.

Framework 50 is active.

For anyone passing by - yes this is a big deal. Eliminating AI hallucination is a 60 billion dollar market problem and I'm giving THAT + sovereign control of your DATA plus the capability to do high-end research via framework 50 (including advanced scientific research) for FREE - under an MIT license. If you don't take advantage of this - you are an idiot.

If you do - welcome to the future.

P.S: What do I get from lying? I got 27 stars on the repo - many from high-end senior engineers at fortune 500 companies. If you're too stupid to tell the real deal from a lie then keep it moving son.
by eigenspace | 2026-01-26 17:20:35+00:00
Even assuming this is true, EU cloud providers no longer have to compete with their American counterparts on an even footing thanks to the insanity coming out of the White House (and American society more generally). There's a very big push to get off of American providers, and many (though not all) customers are willing to make sacrifices to do so.

If providers like OVH play their cards right, they can use this sudden influx of cash to both scale up, and improve their offerings. There's a lot of money on the table right now.
by smorrow | 2026-01-26 17:20:44+00:00
9P is a protocol, FUSE isn't.

"Plan 9 praisers who don't actually use Plan 9" have a tendentious way of speaking, that's actually a lot like "AI slop", that Plan 9 users can instantly recognise. Telltale signs include speaking about Plan 9 in the past tense, and a belief that with Plan 9 you can somehow just strap all your computers together to get more performance or something. Because "you have 9P".
by nerdponx | 2026-01-26 17:20:54+00:00
Certain size/watt combos are still available for things like appliances and nightlights, but I think that includes 20W E26/A-something bulbs, and the bulbs for plug-in night lights. I can still find them on the Home Depot and some other places. No idea about quality but I still prefer how they look. There are so many other horrible energy efficiency problems with heating my home that the inefficiency of a few incandescents in key places doesn't bother me in comparison to the enjoyment I get from the nice light.
by MohskiBroskiAI | 2026-01-26 17:21:05+00:00
I'm adding live web search & something I call "framework 50" which essentially turns the AI into a scientific research tool - No drift? No hallucination? Live web search capabilities? Unlimited memory? R1 reasoning frameworks? Causality chaining?
What's that spell?

It spells every average joe = PhD level researcher

Every Tom, Dick & Harry = World-class Lawyer

Righto. If I don't get some comments I'm just gonna delete this and sell it instead - Ungrateful maggots!

JK!

Or am I?
by tgtweak | 2026-01-26 17:21:12+00:00
He hasn't offered any production services to third parties whatsoever (seems to end at patents/standards gifting) - I wouldn't expect a fab open to third parties at all - if anything it'll be reserved for tesla/space-x/x.ai usage and candidly I don't think there's enough demand there to justify the capex involved in a fab.
by entropicdrifter | 2026-01-26 17:21:15+00:00
Then say that.

If someone goes on to say, "well you ruined my vacation" or something like that, they weren't asking at all, they were demanding and now they're bullying you about having boundaries to try to tear your boundaries down.

People who go out of their way to try to trample your explicitly stated boundaries are abusing you.

So say no, and if they don't take it well, create distance or tell them off. Avoiding conflict in this case is fully to your own detriment.

If, on the other hand, they do take it well, then guess what? They're an asker and are just fully exploring their options and it's no big deal to them that you said no.
by MohskiBroskiAI | 2026-01-26 17:21:20+00:00
Alright - Updating the base model to Deepseek R1. Making sure the deep research dependencies install immediately.
I want this repo to be so easy to use that anyone can git clone, double click start.bat - run the import brain (automatically) and start it up.

The deep research framework 50 is a toggle - scroll down the left sidebar and click it on. It'll run my framework and provide you with comprehensive reports.

I'll be pushing this update either in the next 30 minutes or tomorrow morning depending If I can stay awake long enough. (Dead tired.)

Thanks for the Stars guys - 21 stars total - 3 stars just in the past hour - means a lot.

Vive la révolution!