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A private AI box in one apply

https://conn3x.org/blog/private-ai-box
2•MrGizmo•53s ago•0 comments

Show HN: One screen live election night dashboard for the 2026 midterms

https://github.com/noahfleming/election-night-2026
1•draftfirstcs•2m ago•0 comments

Show HN: Sigmajp – Integrated Japanese Reader

https://sigmajp.works/
1•loosetypewriter•4m ago•0 comments

Audrey: The Early 2000's Failed Internet Appliance [video]

https://www.youtube.com/watch?v=TyXtBrC1Fv0
3•gregsadetsky•8m ago•1 comments

Jelly Sheet

https://mrdoob.github.io/codevember-2026/01/
2•memalign•9m ago•0 comments

DeepSeek Harness' new Creator Mode creates plugins from prompts

https://mashable.com/tech/deepseek-creator-mode-plugins
1•esafak•9m ago•0 comments

Show HN: TickerTown, a pixel-art stock market simulator

https://tickertown.ai
1•williswee•9m ago•0 comments

Democrats win control of the House of Representatives

https://www.nbcnews.com/politics/2026-election/democrats-house-control-midterm-election-wins-trum...
25•geox•13m ago•3 comments

Show HN: Rendering 3D Models in the Terminal

https://muratbayraktar.dev/blog/3d-rendering-in-the-terminal/
2•bob65536•15m ago•0 comments

Study solved a 150-year-old mystery into the identity of the extinct giant crane

https://www.bournemouth.ac.uk/news/2026-10-28/study-has-solved-150-year-old-mystery-identity-exti...
1•gmays•19m ago•0 comments

Show HN: Railyard – Git-push deploys and OSS templates on your own VPS

https://railyard.run/
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SemiconductorX – The Chip Supply Chain, from Quartz to Module

https://semiconductorx.com/
2•peter_d_sherman•26m ago•0 comments

Distinct cellular and genetic differences in colorectal cancer in young patients

https://www.dana-farber.org/newsroom/news-releases/2026/study-reveals-distinct-cellular-and-genet...
4•gmays•30m ago•0 comments

Terminal Apps Respecting System Dark Mode

https://samasaur1.github.io/blog/terminal-apps-respecting-system-dark-mode
1•ankitg12•35m ago•0 comments

Ask HN: What do you call Holy Grail mania risk?

2•totetsu•38m ago•1 comments

Arrows to arrows, categories to queries (2025)

https://reasonablypolymorphic.com/blog/arrows-to-arrows/
7•firstbase•38m ago•0 comments

NetBSD 11.1

https://netbsd.org/releases/formal-11/NetBSD-11.1.html
2•jaypatelani•38m ago•0 comments

Turn Qwen evil using a single neuron

https://ziva.sh/blogs/evil-qwen
3•sayamss•42m ago•0 comments

Ultrafine Martian dust presents additional risks for future crewed missions

https://www.pnas.org/doi/10.1073/pnas.2620747123
1•caiobegotti•46m ago•0 comments

Show HN: DropMyPage – turn an HTML file or PDF into a link and QR code

https://dropmypage.com
1•mukeshdotnet•51m ago•0 comments

Crushed Shells Protect Against Ocean Acidification

https://www.ucdavis.edu/news/how-crushed-shells-protect-against-ocean-acidification
2•gmays•51m ago•0 comments

Is hosting an open-source inference engine profitable?

https://userecurrence.ai/research/is-hosting-open-source-inference-profitable
1•jinqueeny•51m ago•0 comments

Silicon Valley Promises AI Will Cure Disease. Drugmaker CEOs Aren't Buying It

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2•nradov•52m ago•0 comments

Unlocking the (Nintendo) lockout (see pages 6-9) [pdf]

https://archive.nes.science/nintendoage-forums/static.nintendoagemedia.com/ezine/Issue_07-2008.pdf
2•pseudohadamard•55m ago•0 comments

Show HN: No-JS <dialog> in Blades CSS v3.1.1 (a Pico CSS fork)

https://blades.dev/css/modal/
1•anydigital•55m ago•0 comments

I Built an AI That Works Through the Apocalypse – Will Prowse [video]

https://www.youtube.com/watch?v=E2N7IsZ_Xio
1•bbrookshier•56m ago•0 comments

Old, Polluting Jet Engines Are Being Scavenged to Power Data Centers

https://www.nytimes.com/2026/11/03/climate/jet-engines-ai-data-center-generators-boneyard.html
2•JumpCrisscross•1h ago•0 comments

Failed Experience → Hypothesis → Refutation → Principle → Worldview

https://zenodo.org/records/22706328
1•shoman3003•1h ago•0 comments

Is Your TV Spying on You

https://zlu.me/2026/11/02/is-your-tv-spying-on-you.html
2•zlu•1h ago•1 comments

Tell HN: Don't use Postman, they proxy your info without your permission

3•neya•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 ??