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SectorC: A C Compiler in 512 bytes

https://xorvoid.com/sectorc.html
95•valyala•4h ago•16 comments

The F Word

http://muratbuffalo.blogspot.com/2026/02/friction.html
40•zdw•3d ago•7 comments

Brookhaven Lab's RHIC concludes 25-year run with final collisions

https://www.hpcwire.com/off-the-wire/brookhaven-labs-rhic-concludes-25-year-run-with-final-collis...
23•gnufx•2h ago•19 comments

Speed up responses with fast mode

https://code.claude.com/docs/en/fast-mode
54•surprisetalk•3h ago•54 comments

Software factories and the agentic moment

https://factory.strongdm.ai/
96•mellosouls•6h ago•173 comments

Stories from 25 Years of Software Development

https://susam.net/twenty-five-years-of-computing.html
99•vinhnx•7h ago•13 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
143•AlexeyBrin•9h ago•26 comments

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

https://openciv3.org/
850•klaussilveira•1d ago•258 comments

I write games in C (yes, C)

https://jonathanwhiting.com/writing/blog/games_in_c/
138•valyala•4h ago•109 comments

Show HN: A luma dependent chroma compression algorithm (image compression)

https://www.bitsnbites.eu/a-spatial-domain-variable-block-size-luma-dependent-chroma-compression-...
6•mbitsnbites•3d ago•0 comments

First Proof

https://arxiv.org/abs/2602.05192
68•samasblack•6h ago•51 comments

The Waymo World Model

https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simula...
1093•xnx•1d ago•618 comments

Al Lowe on model trains, funny deaths and working with Disney

https://spillhistorie.no/2026/02/06/interview-with-sierra-veteran-al-lowe/
64•thelok•6h ago•10 comments

Vocal Guide – belt sing without killing yourself

https://jesperordrup.github.io/vocal-guide/
235•jesperordrup•14h ago•80 comments

Start all of your commands with a comma (2009)

https://rhodesmill.org/brandon/2009/commands-with-comma/
519•theblazehen•3d ago•191 comments

Reinforcement Learning from Human Feedback

https://rlhfbook.com/
94•onurkanbkrc•9h ago•5 comments

Selection Rather Than Prediction

https://voratiq.com/blog/selection-rather-than-prediction/
13•languid-photic•3d ago•4 comments

Show HN: I saw this cool navigation reveal, so I made a simple HTML+CSS version

https://github.com/Momciloo/fun-with-clip-path
30•momciloo•4h ago•5 comments

Coding agents have replaced every framework I used

https://blog.alaindichiappari.dev/p/software-engineering-is-back
256•alainrk•8h ago•424 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
185•1vuio0pswjnm7•10h ago•262 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
48•rbanffy•4d ago•9 comments

France's homegrown open source online office suite

https://github.com/suitenumerique
614•nar001•8h ago•271 comments

72M Points of Interest

https://tech.marksblogg.com/overture-places-pois.html
35•marklit•5d ago•6 comments

We mourn our craft

https://nolanlawson.com/2026/02/07/we-mourn-our-craft/
344•ColinWright•3h ago•411 comments

Unseen Footage of Atari Battlezone Arcade Cabinet Production

https://arcadeblogger.com/2026/02/02/unseen-footage-of-atari-battlezone-cabinet-production/
124•videotopia•4d ago•39 comments

Where did all the starships go?

https://www.datawrapper.de/blog/science-fiction-decline
98•speckx•4d ago•113 comments

Learning from context is harder than we thought

https://hy.tencent.com/research/100025?langVersion=en
211•limoce•4d ago•119 comments

History and Timeline of the Proco Rat Pedal (2021)

https://web.archive.org/web/20211030011207/https://thejhsshow.com/articles/history-and-timeline-o...
20•brudgers•5d ago•5 comments

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

https://github.com/valdanylchuk/breezydemo
287•isitcontent•1d ago•38 comments

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

https://github.com/sandys/kappal
32•sandGorgon•2d ago•15 comments
Open in hackernews

1ML for non-specialists: introduction

https://pithlessly.github.io/1ml-intro
37•birdculture•1mo ago

Comments

Y_Y•4w ago
1ML, not 1M
abetusk•4w ago
Title is "1ML for non-specialists: introduction".

From the article:

> 1ML is a type system designed by Andreas Rossberg and described in a ollection of papers by him

randomNumber7•4w ago
> communication barrier between academics who are in a position to discuss 1ML in depth and people who are in a position to write new compilers

I think there is s.th. wrong when people working on type systems can't write compilers.

mgaunard•4w ago
Academic types are often not interested in practical things and getting their hands dirty.
ux266478•4w ago
As a pragmatic type, I find it endlessly disappointing how many other pragmatic types have absolutely zero familiarity or grounding in even surface level theoretic stuff that academic types are doing.
cap11235•4w ago
See also: golang
mjdv•4w ago
I would say we have a problem when people who write compilers can't read type theory papers, but then our backgrounds might differ. ;-)
trueismywork•4w ago
Type systems have many more applications than just compilers.
jlouis•4w ago
It's not that they can't. It's that it's a waste of time in most cases.

Compilers are moving targets because hardware changes. There's a considerable maintenance upkeep in a compiler.

So if you are interested in programming language semantics, you can opt to skip the compiler part. This lets you iterate language designs without the added baggage of translating said program to machine code.

You can also argue there's no need. If you present your programming language in operational semantics, then it's trivial to write that up as a prolog program and run it on a prolog interpreter. Then you can employ a partial evaluator, and the first Futamura-projection gives you a compiler. You can choose to host your prolog program in a programming language which already has access to a partial evaluator, and you are essentially done before you even started.

ux266478•4w ago
I'm someone who has used Prolog in the past, but this is the first time I'm learning of Futamura's work[1]. I knew it was great for building executable grammars, but I hadn't ever really tried to do so thus have absolutely no knowledge on the usual techniques. What an absolutely fascinating methodology, I can see exactly how it maps to Prolog.

[1] - https://static.aminer.org/pdf/PDF/001/006/665/partial_evalua...

juancn•4w ago
But even a toy compiler would be useful to inspire someone else to pick up the concepts.

It doesn't have to be production grade, just as a communication tool.

ux266478•4w ago
It's important to note that not every research area ends up being a surface-language, and oftentimes research projects remain in-progress for a long time. There does exist a freely available research implementation of a 1ML interpreter (though slightly behind the language's formalization) offered by the author:

https://people.mpi-sws.org/~rossberg/1ml/

The thing is that this is a research prototype, not a real compiler. It's not usable in the same degree as a language like SML or Haskell. There is a lot more work beyond a grammar that goes into creating a compiler for a high level language.

randomNumber7•4w ago
You could just target LLVM IR (or even simpler transpile to C). Should not take that much time for s.o. who knows what he is doing.
juancn•4w ago
I kind of agree, as a counterexample I think about Scala.

Martin Odersky I think influenced many other mainstream languages (including Java) that picked up functional concepts and integrated them with OOP.

Pure research is fine, but being right in a vacuum usually ends up reducing the impact and value of the research (or at least postponing it).

Language and compilers are more of an applied part of science, and I think it's best if they're treated more like engineering.

jlouis•4w ago
[Here, ML means "Meta Language", not "Machine Learning". ML is used as an important building block inside some theorem provers and proof assistants]

The key thing with 1ML is that it merges the core and module system.

The ML family has historically had two systems: core and module. They are stratified in the sense they are separate languages. Modules can contain core expressions, but the other way around isn't possible.

1ML blends module and core. This means you have first-class modules in the core, which leads to a pretty nice language design.

Furthermore, this being Andreas Rossberg, the rigor at which this is carried out is very high. There's proofs of type safety and correctness along the way, generally to the same high bar as Standard ML (SML).