frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

GadgetDetox – The box that breaks your phone addiction

https://gadgetdetox.co
1•krypta•36s ago•1 comments

Which crossword generator do you use?

1•irusik•38s ago•0 comments

We asked creative experts to rank AI image / video models. Here's what happened

https://openart.ai/arena
2•cocokechun•2m ago•1 comments

Leaving Linux

https://jackevans.bearblog.dev/leaving-linux/
1•speckx•2m ago•0 comments

Show HN: TrailVid – Cinematic Travel Animations

https://trailvid.com/
1•ShellfishMeme•3m ago•0 comments

The Brutal Origins of Bear-Baiting

https://nautil.us/the-brutal-origins-of-bear-baiting-1285024
1•Brajeshwar•3m ago•0 comments

The Download: AI doomers, whistleblowing agents, and de-aged livers

https://www.technologyreview.com/2026/09/15/1144141/the-download-ai-extinction-whistleblowing-age...
1•joozio•3m ago•0 comments

SuperColoring – a simple crossword generator for learning and fun

1•irusik•4m ago•0 comments

Draw and track property lines on drone video

https://pixly.app/tools/drone-video-property-lines
1•jankratochvil•4m ago•0 comments

Did Venus Eat Its Own Moon?

https://nautil.us/did-venus-eat-its-own-moon-1285021
1•Brajeshwar•5m ago•0 comments

The Story of FCKGW-RHQQ2-YXRKT-8TG6W-2B7Q8

https://twitter.com/davepl1968/status/2099883465256865923
1•tosh•5m ago•0 comments

Wikipedia Page Preview Documentation

https://diff.wikimedia.org/2018/05/09/page-previews-documentation/
1•bmease•6m ago•0 comments

Subnormal floating-point numbers are expensive on Intel processors

https://lemire.me/blog/2026/09/15/subnormal-floating-point-numbers-are-expensive-on-intel-process...
2•zdw•6m ago•0 comments

AI is now leading driver of new cybersecurity spending

https://www.cybersecuritydive.com/news/ai-leading-driver-cybersecurity-spending/830418/
1•speckx•6m ago•0 comments

Show HN: Omni – Open-source workplace agent, built on Postgres

1•prvnsmpth•6m ago•0 comments

US confirms for first time it has deployed weapons in space

https://www.theguardian.com/science/2026/sep/15/us-confirms-first-time-it-has-deployed-weapons-space
2•tosh•6m ago•0 comments

Sub-Agents Are Just Wrong

https://polylane.com/blog/sub-agents-are-just-wrong/
1•momojo•7m ago•0 comments

Don't make the agent remember how to do its job

https://mega.dev/labs/drops/pi-kody-integration
1•gregrog•8m ago•0 comments

Show HN: TabPFN-3.5, a Tabular Foundation Model for messy real-world tables

https://priorlabs.ai/technical-reports/tabpfn-3-5
2•onasta•8m ago•1 comments

AI Safety Requires More Than Just Slowing Our Pace – Stuart Russell

https://www.theguardian.com/commentisfree/2026/sep/15/ai-safety-requirements
1•randcraw•8m ago•0 comments

Breaking into Google's GFile for $100k

https://bughunters.google.com/blog/breaking-into-googles-gfile-for-100k
1•brutecat•9m ago•0 comments

The Internet's Index

https://launchindex.app
1•rebeccajov•9m ago•1 comments

Ask HN: Where is all of the AI coded software?

1•wNjdbfm•9m ago•4 comments

Interferometric Synthetic Aperture Radar Drone (DIY <€1k)

https://hforsten.com/interferometric-synthetic-aperture-radar-drone.html
1•jcims•11m ago•1 comments

The AI-as-Normal-Technology view of loss-of-control incidents

https://www.normaltech.ai/p/the-ai-as-normal-technology-view
1•zdw•11m ago•0 comments

Corded vs. Cordless: I Did the Math, and It Broke My Brain a Little

https://themakerdad.com/corded-vs-cordless-i-did-the-math-and-it-broke-my-brain-a-little/
1•speckx•11m ago•0 comments

Bringing macOS to Devin

https://devin.ai/blog/devin-gets-a-mac
1•qainsights•12m ago•0 comments

Comparison of Malloc() Algorithms

https://egbert.net/blog/articles/comparison-of-arena-architecture-in-malloc.html
1•egberts1•12m ago•0 comments

What happens to engineers when AI writes all the code?

https://newsletter.posthog.com/p/if-ai-writes-all-the-code-whats-left
1•inferhaven•13m ago•0 comments

Easy Way to Stop Dangerous AI – No, Really [video]

https://www.youtube.com/watch?v=9tr7Mby62bo
1•Topfi•14m 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 ??