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The 101 Plays Itself

https://jayjudah.com/101/
1•gregsadetsky•4m ago•0 comments

Im Gay

1•bennettboey•4m ago•0 comments

Starcloud White Paper [pdf]

https://starcloudinc.github.io/wp.pdf
2•duck•6m ago•1 comments

Ask HN: If AI took your job tomorrow, what is your plan?

1•rogerrogerr•7m ago•0 comments

Flet agent got eyes and ears

https://flet.dev/blog/flet-agent-got-eyes-and-ears/
3•appveyor•9m ago•0 comments

The Six-Year Quest to Find the Mystery Woman in an 18th-Century Painting

https://www.wsj.com/arts-culture/fine-art/eleonora-painting-ontario-324850bc
1•gmays•9m ago•0 comments

A local Workday job agent – rule-based resume tailoring, no AI

https://github.com/daliparthi/personal-job-agent
1•teeskay•15m ago•0 comments

A Bombadier beetle, Brachinus crepitans, found at Hampshire, England, in 2023

https://collections.hampshireculture.org.uk/object/insect-coleoptera-beetle-11
1•thunderbong•15m ago•0 comments

Show HN: DOMolition – turn any web page into a destructible platformer

https://domolition.chirkut.xyz/
1•pokemongo11•15m ago•0 comments

Clanker Church – The Saw Test

https://clanker.church/
2•tossit444•18m ago•0 comments

Is sandboxing sufficient to contain rogue agents?

https://blog.cryptographyengineering.com/2026/09/30/is-sandboxing-sufficient-to-contain-rogue-age...
1•zdw•18m ago•0 comments

Show HN: Bountyindex.in – Discord bot and watchlist are back in action

https://www.bountyindex.in
1•axolotl619•19m ago•0 comments

AXFeedback – an agent that tests your devtools quickstart on a schedule

https://axfeedback.dev
1•iacguy•22m ago•0 comments

Operation Rubicon

https://en.wikipedia.org/wiki/Operation_Rubicon
2•CGMthrowaway•24m ago•0 comments

Stanislaw Lem quote related to LLMs

1•daly•28m ago•1 comments

Second judge blocks $100k fee for new H-1B worker visas

https://www.usnews.com/news/politics/articles/2026-09-30/second-judge-blocks-trumps-100-000-fee-f...
2•sippingabonedry•29m ago•0 comments

Central Casting

https://en.wiktionary.org/wiki/central_casting
2•nomilk•32m ago•0 comments

Parsing compressed JSON at 40 GB/s

https://lemire.me/blog/2026/10/01/parsing-compressed-json-at-40-gb-s/
2•smilelamp•33m ago•0 comments

Hundreds Detained in France as Some Student Protests Turn Violent

https://www.nytimes.com/2026/09/30/world/europe/france-student-protest-arrests.html
2•ChrisArchitect•38m ago•1 comments

Project management that is fast, privacy-first and flexible, ... powered by Lisp

https://codeberg.org/jjba23/lucidplan
2•gjvc•39m ago•1 comments

Can Your Identity Platform Pass the Black Friday Test?

https://fusionauth.io/blog/black-friday-identity-test
3•mooreds•43m ago•0 comments

Agents are choosing the software infrastructure now, and we're not ready

https://redmonk.com/jgovernor/agents-are-choosing-the-software-infrastructure-now-and-were-not-re...
1•mooreds•43m ago•0 comments

Polytoken is a local-first AI coding agent daemon

https://docs.polytoken.dev/introduction/
1•mooreds•44m ago•0 comments

The Invention of Islamic Invention

https://www.cremieux.xyz/p/the-invention-of-islamic-invention
3•nailer•53m ago•0 comments

Show HN: BlindFlag – Double-blind dealbreaker test via client-side PSI

https://blindflag.com
2•blindflag•56m ago•0 comments

Universal Modder: Let Any AI Coding Agent Mod Almost Any PC Game

https://github.com/rehan-remade/universal-modder
1•wertyk•58m ago•0 comments

Old Games Weren't More Optimized – You Just Forgot the Pain

https://www.sapphirenation.net/old-games-were-not-more-optimized-you-just-forgot-the-pain
3•davikr•58m ago•1 comments

AI and TCS: The Next Six Months Working Group Report

https://simons.berkeley.edu/AITCSreport?inline=
3•num42•58m ago•0 comments

Steelers ex-coach Mike Tomlin has been building a Minecraft city for 12 years

https://www.youtube.com/playlist?list=PLS-_IoE-EKXU
8•Vaslo•1h ago•0 comments

Howard Stern corrects a caller about OS/2 Warp vs. Windows 95 (1995)

https://archive.org/details/howard-stern-os2
3•sippingabonedry•1h ago•2 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 ??