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Ask HN: What are you working on? (October 2026)

1•tha_infra_guy•2m ago•0 comments

Writing is no longer proof of work

https://www.seangoedecke.com/writing-is-no-longer-proof-of-work/
2•gpi•9m ago•0 comments

Agent-Skills.market

https://agent-skills.market/
3•agentsmithvl•12m ago•0 comments

Perplexity offers free reverse engineering credits

https://twitter.com/AskPerplexity/status/2111120664543596957
3•tomcam•14m ago•0 comments

Tmux and Claude Code: Sessions, Send-Keys, and the Ceiling

https://crystl.dev/guides/tmux-for-ai-agents/
2•ankitg12•15m ago•0 comments

Composite objects and C++26 the std:polymorphic type

https://mariusbancila.ro/blog/2026/10/18/composite-objects-and-cpp26-the-stdpolymorphic-type/
2•jandeboevrie•16m ago•0 comments

Anthropic and the Changing Nature of Work

https://surfingcomplexity.blog/2026/10/18/anthropic-and-the-changing-nature-of-work/
2•azhenley•21m ago•0 comments

Answering ASL questions: Argon leads a 21-question pilot

https://huggingface.co/datasets/salqadri/argon-asl-question-understanding-eval
1•salqadri•21m ago•0 comments

Amelia Earharts Plane search expedition's Taraia Object hypothesis fails

https://www.purdue.edu/newsroom/2026/Q4/search-for-amelia-earharts-plane-continues-after-taraia-o...
3•fork-bomber•30m ago•0 comments

Nushell – A New Type of Shell

https://www.nushell.sh/
1•emmettbt•33m ago•1 comments

Show HN: Open Mailto Links in Gmail

https://sindresorhus.com/mailway
1•mofle•33m ago•0 comments

An Artist Who Built Japanese Animation

https://animationobsessive.substack.com/p/an-artist-who-built-japanese-animation
1•vinhnx•39m ago•0 comments

I made a combined snake-tron game using free AI

https://steeltoe777.github.io/snakegame/
2•loopz•48m ago•1 comments

Show HN: The Lion King (SNES, 1994), running as a native PC program

https://github.com/kinduff/TLKRecomp
1•kinduff•49m ago•0 comments

Library of Short Stories

https://www.libraryofshortstories.com/authors
2•ultrasounder•53m ago•1 comments

From Memory Hits to Answerable Evidence

https://arxiv.org/abs/2610.23313
1•axis_official•58m ago•0 comments

Flatpak – An Insecurity Nightmare

https://oro.gay/posts/flatpak-an-insecurity-nightmare/
2•jannesan•59m ago•0 comments

Show HN: Roadkill – a zombie car game inspired by the original GTA's driving

https://games.zabaca.com/games/roadkill/
2•uptownhr•1h ago•0 comments

New website reflects OSI's evolving mission

https://opensource.org/blog/new-website-reflects-osis-evolving-mission
1•Tomte•1h ago•0 comments

Air: A Python web framework designed for AI to write

https://airwebframework.org/
1•mitjam•1h ago•1 comments

Dérive – Urban Exploration App

https://deriveapp.com/s/v2/
1•gregsadetsky•1h ago•0 comments

A New Lens on Multi-GPU Comms: API-Level Memory Models for Portable Optimization

https://arxiv.org/abs/2610.16190
2•matt_d•1h ago•0 comments

Show HN: Trmnl-cards – Turn an XTEINK X4 into a tiny frame for rare cards

https://github.com/mdnahian/trmnl-cards
2•mdni007•1h ago•0 comments

Understanding Nvidia Grace-Blackwell Unified Memory Through Microbenchmarks

https://arxiv.org/abs/2610.20354
2•matt_d•1h ago•0 comments

Startup Abby Care raises $82M to turn family members into paid caregivers

https://fortune.com/2026/10/15/startup-abby-care-raises-82-million-to-turn-family-members-into-pa...
2•snikolaev•1h ago•0 comments

Ziyooren/Software-Coupons

https://github.com/ziyooren/software-coupons
1•iplaypc•1h ago•0 comments

Individual Knowledge in the Internet Age (2010)

https://er.educause.edu/articles/2010/4/individual-knowledge-in-the-internet-age
3•sublinear•1h ago•1 comments

DeepSeek V4.1 Flash 1017 (Max)

https://artificialanalysis.ai/models/deepseek-v4-1-flash-1017
77•theanonymousone•1h ago•21 comments

Verisign .com Domain Name Registry Consumer Class Action

https://www.hbsslaw.com/cases/verisign-com-domain-name-registry-consumer-class-action
39•greyface-•1h ago•8 comments

James Li Investigated Sam Altman for a Year [video]

https://www.youtube.com/watch?v=2kqAJaMqHo4
2•johnnyApplePRNG•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 ??