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HP and Dell disable HEVC hardware decoding on select laptops as royalties rise

https://videocardz.com/newz/hp-and-dell-disable-hevc-hardware-decoding-on-select-laptops-as-royal...
1•MaximilianEmel•2m ago•0 comments

College 'sticker prices' have risen dramatically

https://text.npr.org/nx-s1-5600854
2•mooreds•8m ago•0 comments

Show HN: Enklayve – Free, Local, Private, and Secure Personal AI

https://enklayve.com
1•hireclay•9m ago•0 comments

Show HN: TriView Explorer – Multi-pane file explorer for deep folders

1•triview•12m ago•0 comments

Conventional Commits Considered Harmful

https://larr.net/p/cc.html
1•birdculture•14m ago•0 comments

Pursue Idea (Non-AI Related), but Have No Idea Where to Start?

1•Ozernix•15m ago•0 comments

TSA to charge $18 fee for travelers without Real ID or passport

https://www.washingtonpost.com/travel/2025/11/21/tsa-security-fee-wrong-id/
5•bookofjoe•16m ago•1 comments

A Puzzle a Day: A Month of Tiled Words

https://paulmakeswebsites.com/writing/a-month-of-tiled-words/
1•knuckleheads•22m ago•0 comments

How to Spot a Counterfeit Lithium-Ion Battery

https://spectrum.ieee.org/counterfeit-lithium-ion-batteries
1•jnord•23m ago•0 comments

ZZ9000 multifunction card for Zorro Amigas

https://www.amiga-shop.net/en/Amiga-Hardware/Amiga-graphic-cards/ZZ9000-multifunction-card-for-Zo...
1•doener•23m ago•0 comments

Human Development progress slows to 35-year low – UN Development Programme

https://www.undp.org/latin-america/press-releases/human-development-progress-slows-35-year-low-ac...
1•andsoitis•25m ago•1 comments

Don't be blinded by the web. The world is stagnating (2011)

https://www.theguardian.com/business/2011/feb/13/will-hutton-innovation-must-be-encouraged
2•andsoitis•26m ago•0 comments

What you should know from a trove of ChatGPT conversations we analyzed

https://finance.yahoo.com/news/know-trove-chatgpt-conversations-analyzed-213256668.html
1•jnord•29m ago•0 comments

Not in Our Name

https://aeon.co/essays/it-is-not-democratic-to-go-to-war-without-the-peoples-consent
1•makerdiety•30m ago•0 comments

Are we dreaming big enough?

https://www.youtube.com/watch?v=vV7YgnPUxcU
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Journalist or not, photography isn't a hate crime

https://freedom.press/issues/journalist-or-not-photography-isnt-a-hate-crime/
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Weird Old Book Finder

https://www.weirdoldbookfinder.net/
4•bookofjoe•33m ago•1 comments

An AI agent framework used by fintechs

https://github.com/Upsonic/Upsonic
1•bakigul•36m ago•0 comments

Ask HN: Can you share what you built using Cursor/Agentic IDEs?

4•ludamn•37m ago•0 comments

SO-YOU-DONT-HAVE-TO INCORPORATED'); DROP TABLE companies; --

https://sydht.ai/
3•grep_it•44m ago•0 comments

Artificial Intelligence and Origin of Life Prize, $10M USD

https://www.herox.com/evolution2.0
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Seattle Airport Faces Fuel Shortage

https://onemileatatime.com/news/seattle-airport-fuel-shortage-airlines-impacted/
2•sgoblin•46m ago•0 comments

Microsoft open sourced Zork 1,2 and 3

https://hackaday.com/2025/11/21/microsoft-open-sources-zork-i-ii-and-iii/
1•eibrahim•46m ago•1 comments

Hacker conference installed a literal antivirus monitoring system

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1•sohkamyung•47m ago•0 comments

Netherlands opens fire on suspicious drones near base with US nuclear weapons

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2•wslh•47m ago•1 comments

Chromium Team Re-Opens JPEG XL Feature Ticket

https://issues.chromium.org/issues/40168998
3•dweekly•47m ago•2 comments

Suggestopedia: Language learning method with Baroque music and relaxation

https://en.wikipedia.org/wiki/Suggestopedia
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Far-UVC: Continuous, safe, quiet protection against airborne diseases

https://www.faruvc.org
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Show HN: FlashDrive 1987 – "First Ride", an AI-assisted short film experiment [video]

https://www.youtube.com/watch?v=FDuafGc4btc
1•ErkMkd•48m ago•0 comments

Helicase-mediated mechanism of SSU processome maturation and disassembly

https://www.nature.com/articles/s41586-025-09688-3
1•PaulHoule•49m ago•0 comments
Open in hackernews

Ask HN: Is there a general, multi-PL programming task dataset?

1•quartztz•7mo 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•7mo 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•7mo 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 ??