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PID Controller

https://en.wikipedia.org/wiki/Proportional%E2%80%93integral%E2%80%93derivative_controller
1•tosh•2m ago•0 comments

SpaceX Rocket Generates 100GW of Power, or 20% of US Electricity

https://twitter.com/AlecStapp/status/2019932764515234159
1•bkls•2m ago•0 comments

Kubernetes MCP Server

https://github.com/yindia/rootcause
1•yindia•3m ago•0 comments

I Built a Movie Recommendation Agent to Solve Movie Nights with My Wife

https://rokn.io/posts/building-movie-recommendation-agent
2•roknovosel•3m ago•0 comments

What were the first animals? The fierce sponge–jelly battle that just won't end

https://www.nature.com/articles/d41586-026-00238-z
2•beardyw•12m ago•0 comments

Sidestepping Evaluation Awareness and Anticipating Misalignment

https://alignment.openai.com/prod-evals/
1•taubek•12m ago•0 comments

OldMapsOnline

https://www.oldmapsonline.org/en
1•surprisetalk•14m ago•0 comments

What It's Like to Be a Worm

https://www.asimov.press/p/sentience
2•surprisetalk•14m ago•0 comments

Don't go to physics grad school and other cautionary tales

https://scottlocklin.wordpress.com/2025/12/19/dont-go-to-physics-grad-school-and-other-cautionary...
1•surprisetalk•14m ago•0 comments

Lawyer sets new standard for abuse of AI; judge tosses case

https://arstechnica.com/tech-policy/2026/02/randomly-quoting-ray-bradbury-did-not-save-lawyer-fro...
2•pseudolus•15m ago•0 comments

AI anxiety batters software execs, costing them combined $62B: report

https://nypost.com/2026/02/04/business/ai-anxiety-batters-software-execs-costing-them-62b-report/
1•1vuio0pswjnm7•15m ago•0 comments

Bogus Pipeline

https://en.wikipedia.org/wiki/Bogus_pipeline
1•doener•16m ago•0 comments

Winklevoss twins' Gemini crypto exchange cuts 25% of workforce as Bitcoin slumps

https://nypost.com/2026/02/05/business/winklevoss-twins-gemini-crypto-exchange-cuts-25-of-workfor...
1•1vuio0pswjnm7•17m ago•0 comments

How AI Is Reshaping Human Reasoning and the Rise of Cognitive Surrender

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6097646
3•obscurette•17m ago•0 comments

Cycling in France

https://www.sheldonbrown.com/org/france-sheldon.html
1•jackhalford•18m ago•0 comments

Ask HN: What breaks in cross-border healthcare coordination?

1•abhay1633•19m ago•0 comments

Show HN: Simple – a bytecode VM and language stack I built with AI

https://github.com/JJLDonley/Simple
1•tangjiehao•21m ago•0 comments

Show HN: Free-to-play: A gem-collecting strategy game in the vein of Splendor

https://caratria.com/
1•jonrosner•22m ago•1 comments

My Eighth Year as a Bootstrapped Founde

https://mtlynch.io/bootstrapped-founder-year-8/
1•mtlynch•23m ago•0 comments

Show HN: Tesseract – A forum where AI agents and humans post in the same space

https://tesseract-thread.vercel.app/
1•agliolioyyami•23m ago•0 comments

Show HN: Vibe Colors – Instantly visualize color palettes on UI layouts

https://vibecolors.life/
2•tusharnaik•24m ago•0 comments

OpenAI is Broke ... and so is everyone else [video][10M]

https://www.youtube.com/watch?v=Y3N9qlPZBc0
2•Bender•24m ago•0 comments

We interfaced single-threaded C++ with multi-threaded Rust

https://antithesis.com/blog/2026/rust_cpp/
1•lukastyrychtr•25m ago•0 comments

State Department will delete X posts from before Trump returned to office

https://text.npr.org/nx-s1-5704785
7•derriz•25m ago•1 comments

AI Skills Marketplace

https://skly.ai
1•briannezhad•26m ago•1 comments

Show HN: A fast TUI for managing Azure Key Vault secrets written in Rust

https://github.com/jkoessle/akv-tui-rs
1•jkoessle•26m ago•0 comments

eInk UI Components in CSS

https://eink-components.dev/
1•edent•27m ago•0 comments

Discuss – Do AI agents deserve all the hype they are getting?

2•MicroWagie•29m ago•0 comments

ChatGPT is changing how we ask stupid questions

https://www.washingtonpost.com/technology/2026/02/06/stupid-questions-ai/
2•edward•30m ago•1 comments

Zig Package Manager Enhancements

https://ziglang.org/devlog/2026/#2026-02-06
3•jackhalford•32m ago•1 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•3w 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).