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Morten Linderud resigning from Arch Linux development team

https://lists.archlinux.org/archives/list/arch-dev-public@lists.archlinux.org/thread/2AX2BCJ3EQX7...
1•datakan•32s ago•0 comments

The New York Times story on Mossad recruiting Ahmadinejad doesn't add up

https://www.middleeasteye.net/opinion/why-new-york-times-story-mossad-recruiting-ahmadinejad-does...
1•thisislife2•1m ago•0 comments

MapTap

https://maptap.gg/
1•bookofjoe•2m ago•0 comments

California produced over half its May electricity from solar, a world record

https://www.latimes.com/environment/story/2026-07-31/california-produced-over-half-its-may-electr...
1•giuliomagnifico•4m ago•0 comments

$0.09 and $290.12 are both the price of 1M output tokens

https://runinfra.ai/news/inference-cost-truth
1•OsamaJaber•5m ago•0 comments

Tlbic v9.0:A System Built on Vulnerability, Care Ethics, and Bottom‑Up Oversight

https://drive.google.com/file/d/1DLdrgENE3_udLDO4lgeNXr3EUTxevAfB/view?usp=drive_link
1•michikawa59•6m ago•1 comments

Hiring: Social media growth animal needed to promote socials

https://ugig.net/gigs/32071e16-b155-4720-8cd8-6207782d1dda
1•buffer_overlord•7m ago•0 comments

John Bell and the most obscure journal in physics

https://physicsworld.com/a/john-bell-and-the-most-obscure-journal-in-physics/
2•jruohonen•10m ago•0 comments

Quantum-secure open-source hardware wallet for EVM/Ethereum

https://github.com/EthereumPhone/PQ1
1•mhaaseth•11m ago•0 comments

Windows quality: an update on the commitment we made in March

https://blogs.windows.com/windows-insider/2026/07/31/windows-quality-an-update-on-the-commitment-...
1•tcfhgj•12m ago•0 comments

OSS Skills: agent skills for open source contributors and maintainers

https://github.com/naorpeled/awesome-oss-skills
1•thehecticbyte•12m ago•0 comments

Jcode: The Coding Agent That Raises the Skill Ceiling, vs. OpenCode and Pi

https://grigio.org/jcode-the-coding-agent-that-raises-the-skill-ceiling-vs-opencode-and-pi/
1•grigio•20m ago•0 comments

Accepting a Messy Git History

https://beza1e1.tuxen.de/git_two_users.html
1•montroser•23m ago•0 comments

Eye of Sauron – detect hidden cameras in hotel room – strobe lights / detect EM [pdf]

https://cse.msu.edu/~caozc/papers/security24-liu.pdf
1•lifeisstillgood•24m ago•0 comments

Ohio public meeting on data centres – insightful comment[video]

https://www.youtube.com/shorts/wpoEhVuaj_s
1•lifeisstillgood•36m ago•0 comments

Scotland's university procurement center confirms cybercrooks broke in

https://www.theregister.com/cyber-crime/2026/07/31/scotlands-university-procurement-center-confir...
1•bbg2401•39m ago•0 comments

Newspaper archives still trump answers generated by AI

https://www.thehindu.com/opinion/op-ed/newspaper-archives-still-trump-answers-generated-by-ai/art...
1•thisislife2•39m ago•1 comments

KDE Plasma 6.8 Performance Improvement

https://www.phoronix.com/news/KDE-Plasma-6.8-Faster-eGPU
1•ErenayDev•40m ago•1 comments

Most Australian teens still on social media despite landmark ban

https://news.sky.com/story/most-australian-teens-still-on-social-media-despite-landmark-ban-13568966
3•asdefghyk•44m ago•2 comments

Show HN: I'm tracking TikTok music charts across countries over time

https://trendingtiktoksongs.com
1•andersmyrmel•53m ago•0 comments

More than a metaphor: here are testable diagnostics for comprehension debt

https://www.fightforthehuman.com/we-need-more-than-a-metaphor-here-are-testable-diagnostics-for-c...
2•NeutralForest•55m ago•0 comments

Tamagotchi

https://en.wikipedia.org/wiki/Tamagotchi
2•tosh•56m ago•0 comments

I built a tracker and comparison platform for AI video models

https://videoall.ai
1•henryjinhao•56m ago•0 comments

Taboo "equilibrium": Less confused frames for research on AI bargaining

https://www.lesswrong.com/posts/KDq5aXwanvH5YoZYs/taboo-equilibrium-less-confused-frames-for-rese...
1•joozio•57m ago•0 comments

Decimen streams files through fountain-coded QR frames without pairing

https://runtimewire.com/article/decimen-fountain-coded-qr-file-transfer-claude-code
1•ms7892•58m ago•0 comments

Skin-Deep Bias: How Avatar Appearances Shape Perceptions of AI Hiring

https://dl.acm.org/doi/epdf/10.1145/3772318.3790379
1•casabonita•59m ago•0 comments

Lazarus FreePascal IDE: Gtk3 becomes default widgetset on Linux

https://forum.lazarus.freepascal.org/index.php?topic=74332.0
1•mariuz•1h ago•0 comments

Leaflet.js

https://leafletjs.com/
5•Eridanus2•1h ago•1 comments

gsxui (Shadcn for Go) now has a second style maia

https://ui.gsxhq.dev/theme
2•jackielii•1h ago•1 comments

I still think it is a pyramid scheme [video]

https://www.youtube.com/watch?v=zZiw15VgWoI
1•dp-hackernews•1h 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 ??