frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

noyb win: French electronics retailer Fnac Darty fined €7M

https://noyb.eu/en/noyb-win-french-electronics-retailer-fnac-darty-fined-eu7-million
1•latexr•1m ago•0 comments

See what Claude Code reads and edits, live, in a file tree

https://github.com/Marius-Adam/claude-files-pane/blob/main/docs/demo.gif
1•betterPattern•1m ago•0 comments

Developer makes Windows 11 26H2 work on insanely low 128MB RAM

https://www.neowin.net/news/developer-makes-windows-11-26h2-work-on-insanely-low-128mb-ram/
1•giuliomagnifico•4m ago•0 comments

A simpler way to put ChatGPT to work (A shared allowance for ChatGPT and Codex)

1•daneel951•4m ago•0 comments

How RimWorld 1.7 Lets You Commit War Crimes Faster [video]

https://www.youtube.com/watch?v=EdRteMjyC4k
1•skibz•9m ago•0 comments

Show HN: Detox Mode – A Flutter app to help reduce smartphone distractions

https://play.google.com/store/apps/details?id=com.saurabh.detox&hl=en_US
1•saurabh_yagyik•11m ago•0 comments

Alkaline batteries are obsolete – but their predecessor isn't [video]

https://www.youtube.com/watch?v=I1rlK3BKmyA
2•vismit2000•23m ago•0 comments

SATORATOS: Read classics from the source with original translations and notes

https://satoratos.org/
1•al_mutanabby•25m ago•0 comments

Show HN: BeachFinder – Find beaches with the right conditions

https://getbeachfinder.com
1•TitOo•26m ago•0 comments

Show HN: tld - Create and explore nested diagrams like a map

https://github.com/Mertcikla/tld
1•mertcikla•28m ago•0 comments

Show HN: AIOps Cockpit – An open-source AI SRE with human-in-the-loop safety

https://github.com/matricphase-dot/aiops
1•adityam_9911•29m ago•0 comments

Democracy Has a Learning Problem – The Long Listen

https://shows.acast.com/cognitive-republic-building-societies-that-experiment-learn/episodes/6ae0...
1•smomara•29m ago•1 comments

The OLED MacBook Pro Wipes Out Eight Years of Price Drops

https://thrifle.com/blog/macbook-pro-price-history
1•taubek•30m ago•0 comments

Norway makes shithouses great again

https://www.visitnorway.com/plan-your-trip/travel-tips-a-z/norwegian-scenic-routes/worlds-best-to...
25•giuliomagnifico•30m ago•4 comments

AI Warning for Steam – Increases Visibility of AI Generated Content Disclosures

https://github.com/seeeeew/aiwarningforsteam
1•SockThief•30m ago•0 comments

Tilix2

https://github.com/markuman/tilix2
1•markuman123•31m ago•0 comments

Domain hacks with unusual Unicode characters (2018)

https://xn--69f31l4t57c0mag4b613h.xn--7uh4898msjaso/🆆🆃🅵/
1•n_plus_1_acc•34m ago•1 comments

Psychedelic nasal spray reduced treatment-resistant depression for 8 weeks

https://www.psypost.org/single-dose-of-psychedelic-nasal-spray-reduced-treatment-resistant-depres...
2•giuliomagnifico•36m ago•0 comments

Tell HN: Claude Code now defaults to Haiku 5.5

2•albert_e•38m ago•0 comments

Protuna: Optuna but for Proteins

https://github.com/kumarshreshtha/protuna
1•kshreshtha•39m ago•0 comments

Official Lockheed Martin account vague posting

https://twitter.com/LockheedMartin/status/2116500446709703132
1•dmos62•39m ago•0 comments

Free Productivity Calculator – Daily Rate and Goal Planner

https://productivitycalculator.org
1•light001•44m ago•0 comments

Show HN: Turn websites into audio locally in the browser with WebGPU

https://storytella.io/
1•hallh•48m ago•0 comments

Sam Altman says DRAM capacity should go to data centers, not personal computers

https://www.tomshardware.com/tech-industry/data-centers/openai-ceo-says-its-quite-terrible-for-yo...
3•0x4e•50m ago•3 comments

HTMLSave – Instant single-file HTML hosting with subdomains and MCP

https://htmlsave.com
2•htmlsave•54m ago•0 comments

Binance restarts customer withdrawals after $6.3B heist

https://www.ft.com/content/1d4dd7b2-9dee-433b-ac2a-e8022af1dd07
2•throwaway2037•55m ago•0 comments

Computing with Time Travel (2015)

https://www.sciencedaily.com/releases/2015/12/151209091224.htm
2•bryanrasmussen•58m ago•0 comments

How hard is it to check for whitespace?

https://serce.me/posts/2026-10-30-how-hard-is-it-to-check-for-whitespace
3•SerCe•58m ago•0 comments

QwenPU: An LLM running inside another LLM's weights

https://huggingface.co/divagr1925/QwenPU
2•joshcsimmons•1h ago•1 comments

Fruth – A semantic state inference engine for AI

https://github.com/fl0ri0/fruth
2•fl0ri0•1h ago•1 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 ??