frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Chemical accidents rise as Trump administration proposes weakening safety rules

https://insideclimatenews.org/news/30062026/hazardous-chemical-accidents-rise-as-safety-rules-wea...
3•rbanffy•4m ago•0 comments

The Munition in Every Press Release

https://twmrg.substack.com/p/the-munition-in-every-press-release
1•alfino•5m ago•0 comments

Fender – Docker socket proxy that maps image refs to registries you define

https://github.com/marketplace/actions/fender-ci
1•avivklas•5m ago•1 comments

Show HN: Open-source CLI for SKILL.md registry and parser lookup

https://github.com/gaia-research/gaia-skill-tree
1•nova-gaia•7m ago•0 comments

Music that keeps you focused

https://www.ssp.sh/brain/music-that-keeps-you-focused/
2•zazuke•10m ago•0 comments

Chamberlain murder trial artefacts paint picture of frenzy around 1982 case

https://www.abc.net.au/news/2026-06-28/lindy-chamberlain-1982-murder-trial-memorabilia-museum-art...
1•Tomte•12m ago•0 comments

Show HN: Prebuilt RISC-V64 Binaries for GCC, PyTorch, Kubernetes, and More

https://github.com/Cloud-V-10xE/RISC-V-software
1•alitariq4589•14m ago•0 comments

South Korea's hottest new bachelors are chip workers

https://www.technologyreview.com/2026/07/06/1140000/south-korea-bachelors-samsung-skhynix-chip-wo...
1•joozio•18m ago•0 comments

Show HN: Terminal view of news and current events for cities across the globe

https://x.tty.news/
2•whatl3y•20m ago•0 comments

Tlbic: A Local Basic Income Proposal Built with AIs to Combat Despair

https://drive.google.com/file/d/16pfAwZc1E-X8waY3pyf8XUTVY60kUIvS/view?usp=drive_link
2•michikawa59•25m ago•1 comments

SvelteChatKit: Provider agnostic AI chat UI for OpenAI, Dify, n8n, and others

https://github.com/kristofers322/SvelteChatKit
2•kristofers32•25m ago•0 comments

Buried Apple Feature Turns an iPhone into the Perfect Kids' Dumb Phone

https://www.wired.com/story/this-buried-apple-feature-turns-an-iphone-into-the-perfect-kids-dumb-...
2•PotatoNinja•26m ago•0 comments

Ask HN: Open-source website builders for animated sites like Higgsfield?

2•adithyaharish•29m ago•0 comments

Kernels

https://huggingface.co/blog/revamped-kernels
1•subset•30m ago•0 comments

How the U.S. Engineered Its Sovereignty

https://spectrum.ieee.org/us-engineered-sovereignty
1•rbanffy•30m ago•0 comments

API Cheat Sheet

https://www.mariusb.net/blog/2026/07/ai-api-cheat-sheet/
1•mariusb16•32m ago•0 comments

What alerting on 1.8M outages has thought us about downtime

https://ohdear.app/uptime-statistics
3•Mojah•33m ago•0 comments

The Internet Is Dead and Nobody Cares [video]

https://www.youtube.com/watch?v=PUSY6mtqQDI
2•RansomStark•36m ago•1 comments

Show HN: Product Hunters liked my idea - an AI journal with memory

https://bestjournalapp.com
1•kartik_malik•41m ago•1 comments

Despite the darkness, I still see signs of hope in America

https://arstechnica.com/culture/2026/07/at-250-years-there-are-still-reasons-for-hope-in-america/
1•rbanffy•41m ago•0 comments

X402, a static blog monetization excercise

https://shtein.me/posts/x402-poc/
2•morty28•42m ago•0 comments

Sakana Translate: Sakana Chat Now Supports Translation

https://sakana.ai/translate-release/
1•takakaze•43m ago•0 comments

I run enterprise-grade CI at solo-founder scale

https://lionshead.digital/notes/why-i-run-enterprise-grade-ci-at-solo-founder-scale
1•earnestamateur•47m ago•0 comments

What 650k commits say about how crypto bugs change

https://twitter.com/GustavHartz/status/2073819470796128402
1•GustavHartz•49m ago•0 comments

Heinz tomato ketchup and the sweet taste of market dominance

https://www.economist.com/culture/2026/07/02/heinz-tomato-ketchup-and-the-sweet-taste-of-market-d...
4•bookofjoe•50m ago•1 comments

You May Not Need Eight Hours of Sleep

https://www.nytimes.com/2026/07/05/opinion/sleep-health-8-hours.html
3•XzetaU8•50m ago•0 comments

Show HN: Paint the Earth on a live, interactive globe (collaborative art.)

https://earth.tattoo
5•earth-tattoo•51m ago•2 comments

Secure Unix ancestor KSOS did type safety before Rust made it cool

https://www.theregister.com/os-platforms/2026/07/06/secure-unix-ancestor-ksos-did-type-safety-bef...
2•sohkamyung•53m ago•0 comments

Bitverzo Analyze Any Website

https://bitverzo.com/
1•stob•54m ago•0 comments

We audited 100 open-source Agent projects – 73% have permission overreach

https://github.com/maref-org/maref
1•Athena-maref•57m ago•0 comments
Open in hackernews

Ask HN: Is there a general, multi-PL programming task dataset?

1•quartztz•1y ago
Hello!

Being a student interested in PL design, I have had this idea floating around for a while: the gist is finding out what programming languages LLMs might be the most proficient in, to study their design choices and syntactic features with the goal of designing the perfect language for LLMs. This is, of course, gimmicky, but I entertained the idea for a while as a fun afterschool project.

The challenge is: what would be the best way to evaluate programming performance _in specific languages_? There are two main hypotheses here:

1. There are intrinsic syntactic/structural features that the transformer architecture is uniquely able to parse/reproduce/understand best, leading to higher quality code generated. For example: Lisp dialects make parsing code structure and blocks very easy, so one could assume an LLM can "understand their code better" 2. There is so much Python/JS out there that the question isn't even worth asking, and the performance in those will beat whatever other language you throw at it. This is probably not as much of a point thanks to newer transformer architectures but the question is still up.

I suspect the answer can be made somewhat interesting by considering performance relative to language popularity, but the ground question is: is there a general dataset containing different programming challenges, of varying difficulty, in multiple languages, with standard solutions? I couldn't find anything when I looked around, but I might have missed something obvious. It wouldn't be impossible to build a simple website to crowdsource, but I'm thinking that if I missed something obvious I'd rather find out early than late. Also, if you have any input on the project itself, I'd love to hear your ideas!

Comments

Someone•1y ago
> For example: Lisp dialects make parsing code structure and blocks very easy, so one could assume an LLM can "understand their code better"

I would expect the reverse: lisp has no syntactic sugar, making it harder for a LLM to glue code fragments together in a way that produces valid lisp code. Even guaranteeing that parentheses are correctly nested already can be a challenge.

As to a set of programs: they aren’t exactly what you’re looking for, but I would consider https://projecteuler.net (does not contain solutions, but searching for project Euler solutions” finds some) or https://benchmarksgame-team.pages.debian.net/benchmarksgame.

sargstuff•1y ago
Very open ended questions. Geeks for Geeks loosely organized around computer science topics of study : https://www.geeksforgeeks.org/

nit-pick details:

Ignoring hardware differences, "performance" comparisons can be based on differences between algorithm(s) used vs. how algorithm is implimented. For a given language, "algorithm implimentation performance" can be defined as the trade-offs on how a a given algorithm is implimented in a language (compared to other programming languages, but also easy use/flexibility based on 'language generation level -> https://www.geeksforgeeks.org/generation-programming-languag... )

----------------------

1) General computation language specialty 'modules' not withstanding; "languages" are built/optimised around core algorithmic concepts / anticipated area/concentration of targeted professional environment. aka opencl (gpu), R (statistics), Lisp (engineering design), C (OS level), sql (data selection), jasper reports, cobol (business), etc. Languages tend to be 'popular' because of the ecosystem provided around/for a given language.

snarky side note -> can always write a more standard language that compiles to an esolang & provide appropriate emacs/vim/sed/spacemacs ide support.: https://esolangs.org/wiki/Main_Page

  LLM's are very useful at curating information and recognizing/summarizing "statisical" relevance. aka apl is great for engineering mind set, not so good for business use cases aka cobal.  LLM might recognize a language for a given user that combines commonly used 'apl' aspecs of user and commonly used 'cobal' aspecs of user and recommend a language(s) with suitable commonalities for given user. 


2) Search engine topic 'coding challenges' 'algorithmic coding challenges' brings up many types of answers/sites for honing one's coding skills (various languages, beginner to expert, etc). Coding 'algorithms' vs. coming up with algorithm(s) to code is sort of a side aspect. Also differences in 'competition' challenges vs. 'technical challenges' (aka 512 c64 vs. 1 raspberry pi) ; vs. "computer science coding challenges" vs. 'computational genomic challenges'

     ?? how easy / hard based on 'profession' aka artist vs. software designer 20 years experience programming in scheme; environment -- NASA vs. google vs. insurance company.

   ?? from scratch : https://synoptek.com/insights/it-blogs/10-challenges-every-software-product-developer-faces/

   ?? based on industry standards ?? ; just trying to keep skills honed ??