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France's homegrown open source online office suite

https://github.com/suitenumerique
376•nar001•3h ago•181 comments

British drivers over 70 to face eye tests every three years

https://www.bbc.com/news/articles/c205nxy0p31o
106•bookofjoe•1h ago•86 comments

Start all of your commands with a comma (2009)

https://rhodesmill.org/brandon/2009/commands-with-comma/
417•theblazehen•2d ago•152 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
80•AlexeyBrin•4h ago•15 comments

Stories from 25 Years of Software Development

https://susam.net/twenty-five-years-of-computing.html
28•vinhnx•2h ago•4 comments

Leisure Suit Larry's Al Lowe on model trains, funny deaths and Disney

https://spillhistorie.no/2026/02/06/interview-with-sierra-veteran-al-lowe/
13•thelok•1h ago•0 comments

OpenCiv3: Open-source, cross-platform reimagining of Civilization III

https://openciv3.org/
772•klaussilveira•19h ago•240 comments

First Proof

https://arxiv.org/abs/2602.05192
33•samasblack•1h ago•19 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
49•onurkanbkrc•4h ago•3 comments

The Waymo World Model

https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simula...
1021•xnx•1d ago•580 comments

Coding agents have replaced every framework I used

https://blog.alaindichiappari.dev/p/software-engineering-is-back
158•alainrk•4h ago•202 comments

Vocal Guide – belt sing without killing yourself

https://jesperordrup.github.io/vocal-guide/
160•jesperordrup•9h ago•58 comments

Software Factories and the Agentic Moment

https://factory.strongdm.ai/
11•mellosouls•2h ago•11 comments

72M Points of Interest

https://tech.marksblogg.com/overture-places-pois.html
9•marklit•5d ago•0 comments

Unseen Footage of Atari Battlezone Arcade Cabinet Production

https://arcadeblogger.com/2026/02/02/unseen-footage-of-atari-battlezone-cabinet-production/
103•videotopia•4d ago•26 comments

A Fresh Look at IBM 3270 Information Display System

https://www.rs-online.com/designspark/a-fresh-look-at-ibm-3270-information-display-system
17•rbanffy•4d ago•0 comments

StrongDM's AI team build serious software without even looking at the code

https://simonwillison.net/2026/Feb/7/software-factory/
8•simonw•1h ago•2 comments

Ga68, a GNU Algol 68 Compiler

https://fosdem.org/2026/schedule/event/PEXRTN-ga68-intro/
35•matt_d•4d ago•9 comments

Making geo joins faster with H3 indexes

https://floedb.ai/blog/how-we-made-geo-joins-400-faster-with-h3-indexes
152•matheusalmeida•2d ago•42 comments

Show HN: Look Ma, No Linux: Shell, App Installer, Vi, Cc on ESP32-S3 / BreezyBox

https://github.com/valdanylchuk/breezydemo
261•isitcontent•19h ago•33 comments

Monty: A minimal, secure Python interpreter written in Rust for use by AI

https://github.com/pydantic/monty
275•dmpetrov•20h ago•145 comments

Show HN: Kappal – CLI to Run Docker Compose YML on Kubernetes for Local Dev

https://github.com/sandys/kappal
15•sandGorgon•2d ago•3 comments

Hackers (1995) Animated Experience

https://hackers-1995.vercel.app/
545•todsacerdoti•1d ago•263 comments

Sheldon Brown's Bicycle Technical Info

https://www.sheldonbrown.com/
417•ostacke•1d ago•108 comments

Show HN: I spent 4 years building a UI design tool with only the features I use

https://vecti.com
361•vecti•21h ago•161 comments

What Is Ruliology?

https://writings.stephenwolfram.com/2026/01/what-is-ruliology/
61•helloplanets•4d ago•64 comments

Show HN: If you lose your memory, how to regain access to your computer?

https://eljojo.github.io/rememory/
333•eljojo•22h ago•206 comments

An Update on Heroku

https://www.heroku.com/blog/an-update-on-heroku/
456•lstoll•1d ago•298 comments

Microsoft open-sources LiteBox, a security-focused library OS

https://github.com/microsoft/litebox
371•aktau•1d ago•195 comments

Female Asian Elephant Calf Born at the Smithsonian National Zoo

https://www.si.edu/newsdesk/releases/female-asian-elephant-calf-born-smithsonians-national-zoo-an...
61•gmays•14h ago•23 comments
Open in hackernews

Show HN: Learn LLMs LeetCode Style

https://github.com/Exorust/TorchLeet
181•Exorust•6mo ago

Comments

only-one1701•6mo ago
> Avoid using GPT. Try to solve these problems on your own. The goal is to learn and understand PyTorch concepts deeply.

I mean...this entire project appears to be mostly GPT-generated?

mumbisChungo•6mo ago
One time my teacher used a computer to make a math test for me, but then told me I couldn't use my computer during the exam. I dropped out of school immediately.
only-one1701•6mo ago
Great analogy my brother there’s minimal difference between a word processing software and an LLM
YeBanKo•6mo ago
Why do you think it I GPT generated?
notathinker•6mo ago
The purpose of the project is learning. The author believes that avoiding GPT will help you learn more effectively and offers that as upfront guidance. In this case, “avoid using GPT” isn’t an ethical directive but simply a learning recommendation. The value of that advice isn’t tied to which tools were used to create the question set.
only-one1701•6mo ago
Did GPT write this?
gerroo•6mo ago
Cool idea, will try. Since it seems mostly llm generated you could publish the process and prompts for transparency.
Exorust•6mo ago
I'll do that. I'll also add a disclosure that I did use Gpt to generate it.
arnab_optimatik•6mo ago
super helpful, thanks for sharing!
oezi•6mo ago
Is it just me or does anyone else find the red squiggly lines under Pytorch and Leet hilarious in the heading picture?
Exorust•6mo ago
Ah god damn it.
pj_mukh•6mo ago
What are people's other "go try to build this thing, perfectly aligned to your noob-level" ways of learning lower-level ML Tools (PyTorch, CUDA etc.)?
janalsncm•6mo ago
This is decent for what it is. Some of the problems are pretty open ended which has pros and cons, but that is very different from leetcode, which has very specific data and test cases.

For example, implement linear regression but the example solution uses a random number generator without a fixed seed. It’s fine, reproducibility isn’t the point, but leetcode problems are more structured.

In leetcode they usually don’t tell you exactly what data structure you must use, only that it must pass certain test cases. By analogy this might not tell you which architecture to use but require that it passes certain eval metrics.

Exorust•6mo ago
I hoped that it would be a little open ended as most questions in ML in real life are open ended.
janalsncm•6mo ago
Most ML problems in real life don’t constrain you to use linear regression or a CNN either. But there will be some metric you need to optimize.

What would take this repo to the next level is to have a reproducible data generation function for each exercise as well as a reasonable metric which must be passed. I don’t see anything that requires my classification auc to be over 0.5 which would be a basic criteria of bug-free code.

Exorust•6mo ago
It's also what most people ask when they go for interviews.

I was reverse engineering the ML interview pipeline for myself and that's how I stumbled upon all this.

I think the data aspect does make sense tho. I might add that as the next thing to do

cwlcwlcwlingg•6mo ago
It helps me a lot!!