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DentaQuest Data Breach Analysis

https://www.rescana.com/post/dentaquest-data-breach-analysis-shinyhunters-leak-exposes-pii-and-ph...
2•01-_-•4m ago•0 comments

Rodents in the Attic (Small C64 demo) [video]

https://www.youtube.com/watch?v=fbXIdK3o3NU
1•atesti•4m ago•0 comments

Maybe You Can Get Rid of Code Reviews

https://rogermarley.com/blog/maybe-you-can-get-rid-of-code-reviews/
1•rogermarley•5m ago•0 comments

Hey guys made my first indie game from India called Inverta

https://play.google.com/store/apps/details?id=com.invertagame.app&hl=en_US
1•vamsikv28•7m ago•1 comments

Science and Society need more interaction instead of mere communication

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1•jruohonen•11m ago•0 comments

Centrality in the DNS

https://www.potaroo.net/ispcol/2026-05/dns-centrality.html
1•fanf2•11m ago•0 comments

Commandments of Synchronization (2011) [pdf]

https://www.cs.cornell.edu/courses/cs4410/2012fa/papers/commandments.pdf
1•signa11•12m ago•0 comments

A Proposal for an Open Credential Lifecycle Standard

https://gist.github.com/abrambailey/086c1cc4f6417a1f504ef7360962dbfc
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Ask HN: Who here still codes without AI, and why?

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Reverse Engineered Razer Keyboard Control

https://www.rizldizl.com/
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The best/only way to get VCs to pay for a new systems programming language

https://ziggit.dev/t/allocators-in-zig-and-what-can-be-better-in-another-language/11755
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There Is No Sound of the 2020s. Yet

https://ra.co/features/4505
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A Modern Proxmox Docker Architecture with Disposable VMs, VirtIO-FS, and ZFS

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From the Legendary Lft: Microcontroller Magic ("Sum Ergo Demonstro") [video]

https://www.youtube.com/watch?v=0_9YS2tsdYc
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Static Web Server

https://static-web-server.net/
2•igoose1•28m ago•0 comments

I'm a Philosophy Professor. Here's Why I'm Training AI to Replace Me

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The world of Japanese train melodies [video]

https://www.youtube.com/watch?v=-KxQIEhsFQk
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The Vientiane Mystery: When a Taxi Apps Randomly Stops Working

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Show HN: Bgbgone – local Mac background remover CLI – MIT

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C++: The Programming Language Cover Raises Unanswered Questions

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The "Cat-Cam": Using Go and an Old Nokia Android to Catch a Midnight Intruder

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Using the Screen Capture API to record a browser window

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Ask HN: What are some agent-coded masterpieces?

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A Little Explanation of Little's Law

https://rugu.dev/en/blog/littles-law/
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The US Needs Mechanics and Electricians.Big Business Is Spending to Create Some

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The Grad Student Who Broke Microplastics Research

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Memory Caching: RNNs with Growing Memory

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Writing your own print function in C without Libc

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Spotify no OAuth,no premium web API fetching

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Nike can't just do it any more

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2•andsoitis•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 ??