frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Crypto Criminal Accused of Crypto Crimes Again, While in Jail

https://www.bloomberg.com/news/articles/2026-07-09/crypto-criminal-accused-of-crypto-crimes-again...
1•1vuio0pswjnm7•1m ago•0 comments

Self-replicating spacecraft, a.k.a. von Neumann probes

https://en.wikipedia.org/wiki/Self-replicating_spacecraft
1•gurjeet•2m ago•0 comments

Depone – Delete legacy require_once with proof, not guesswork

https://github.com/lll-lll-lll-lll/depone
1•www_lll•3m ago•0 comments

AI Limit, Social Divide

https://valand.dev/blog/post/ai-limit-divide
1•valand•6m ago•0 comments

Nectar: A programming language that compiles to WebAssembly

https://github.com/HibiscusConsulting/nectar-lang
1•handfuloflight•6m ago•0 comments

Vermont becomes first US state to ban paraquat herbicide over Parkinson's fears

https://www.theguardian.com/environment/2026/may/26/vermont-paraquat-weedkiller-ban
1•xoa•7m ago•0 comments

Show HN: Files402 – share or sell a folder online from $1/mo

https://files402.net/
1•mannders•8m ago•0 comments

The Vintage Beauty of Soviet Control Rooms

https://designyoutrust.com/2018/01/vintage-beauty-soviet-control-rooms/
1•mvdtnz•8m ago•0 comments

Show HN: Numbergram – Make 10 from 4 numbers

https://numbergram.app
1•zmilou•11m ago•1 comments

Show HN: Paste a URL, get an honest answer to "can I build this with a prompt?"

https://onepromptai.app
1•pro_methe5•12m ago•1 comments

Cycle Double Cover Conjecture Proof Using 5.6 Sol Ultra

https://twitter.com/__eknight__/status/2075643450196971805
1•virgildotcodes•14m ago•1 comments

EPA to open habitats of endangered species to logging and mining

https://www.theguardian.com/us-news/2026/jul/10/epa-rollback-endangered-habitats-logging-mining
2•Jimmc414•18m ago•1 comments

The Stubborn Myth of the Literary Genius (2025)

https://www.theatlantic.com/books/2025/11/shakespeare-marlowe-and-myth-literary-genius/684797/
1•bryanrasmussen•20m ago•0 comments

Show HN: I built a YouTube for generative videos in 50 prompts

https://gallery.samsar.one/
1•proy24•23m ago•0 comments

Show HN: Multi person realtime location tracking

https://tracktour.ir
1•misano•29m ago•0 comments

Perforce and Unreal Lore's alternative, another way to use Git

https://github.com/zhuzhonghua/blackgit
1•zhonghua•29m ago•0 comments

How dementia is being defeated

https://www.economist.com/briefing/2026/07/09/how-dementia-is-being-defeated
3•pingou•31m ago•2 comments

Wlctl – a Rust TUI for Managing Wi-Fi/ETH/VPN Using NetworkManager

https://github.com/aashish-thapa/wlctl
3•iamaashishthapa•36m ago•2 comments

Noisia: Harmful Workload Generator for PostgreSQL

https://github.com/lesovsky/noisia
1•handfuloflight•54m ago•0 comments

The Four-Color Problem and Its Philosophical Significance (1979) [pdf]

http://www.thatmarcusfamily.org/philosophy/Course_Websites/Math_S08/Readings/tymoczko.pdf
2•rfv6723•58m ago•0 comments

Curious case, comparing output from multiple LLMs

https://github.com/vseryakov/backendjs/tree/master/examples/prompts
1•vlad1719•1h ago•1 comments

How Do You Steal $1,500M in 3 Minutes? [video]

https://www.youtube.com/watch?v=E2Onvy1tWY8
1•mgh2•1h ago•0 comments

Meta removes AI feature on Instagram after global backlash

https://www.rnz.co.nz/news/science-and-technology/700735/missed-the-mark-meta-removes-ai-feature-...
6•billybuckwheat•1h ago•1 comments

Managing a small local AI budget (Mac M2 16gb)

https://millfolio.com/blog/local-ai-infra-tags/
2•winding•1h ago•0 comments

Microgrants!

https://merge.club/guide
1•audreyfei•1h ago•0 comments

The Prover, the Skeptic, and the Judge

https://insertchaos.bearblog.dev/prover-skeptic-and-judge/
1•snorbleck•1h ago•0 comments

Web Scraper Bright Data Sets $1M 'Bug Bounty' as Industry Scrutinized

https://www.bloomberg.com/news/articles/2026-07-10/web-scraper-sets-1-million-bug-bounty-as-indus...
1•1vuio0pswjnm7•1h ago•1 comments

Marble - (Education) Skill Taxonomy

https://github.com/withmarbleapp/os-taxonomy
1•soupspaces•1h ago•0 comments

No Assembler, No Linker

https://freelang.dev/no-assembler-no-linker/
2•keepamovin•1h ago•0 comments

Omegele for Weed

https://omeweed.com/
1•mmorga71•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 ??