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Show HN: Instantvideos.org – short documentaries in ~30 seconds

https://instantvideos.org/
1•pw•1m ago•0 comments

Wikipedia Is Battling for the Soul of the Internet

https://www.nytimes.com/2026/07/05/business/media/wikipedia-ai-elon-musk.html
1•cdrnsf•2m ago•0 comments

Merlin the duck, a Mexico City streetside regular turned World Cup mascot

https://www.sfgate.com/sports/article/meet-merlin-the-duck-a-mexico-city-streetside-22306478.php
1•gnabgib•9m ago•0 comments

Samsar: Model-Composable 1-Shot Generative Video Harness and Software Factory

https://github.com/samsarone/samsar
1•proy24•14m ago•1 comments

Procedural Trick Before Recess Pushes EU Towards Capitulation on "Chat Control"

https://www.patrick-breyer.de/en/procedural-trick-before-summer-recess-pushes-eu-parliament-towar...
2•iamnothere•16m ago•0 comments

Show HN: LLM Thought Visualization

https://github.com/ninjahawk/Subtext
1•ninjahawk1•25m ago•0 comments

NSA and IETF: Fairness

https://blog.cr.yp.to/20260706-fairness.html
2•WatchDog•26m ago•0 comments

Kernels: Major Updates

https://huggingface.co/blog/revamped-kernels
1•simonpure•29m ago•0 comments

Hate "The Algorithm?" RSS Is One of the Tools You've Been Looking For

https://www.eff.org/deeplinks/2026/06/hate-algorithm-rss-one-tools-youve-been-looking
2•cdrnsf•31m ago•0 comments

Complexity theorist Steven Rudich (1961-2024)

https://blog.computationalcomplexity.org/2024/11/steven-rudich-1961-2024.html
1•mtdewcmu•33m ago•0 comments

Nvidia Is Backstopping GPU Rentals for Neoclouds

https://newsletter.semianalysis.com/p/nvidia-gpu-debt-backstop-unleashes
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Woman's hip replacement disintegrates, causing metal poisoning

https://arstechnica.com/health/2026/07/womans-puzzling-decline-turns-out-to-be-cobalt-poisoning-f...
6•Qem•44m ago•0 comments

Life as a State Machine; a Framework for Action-Taking

https://medium.com/@techandsundry/why-just-do-it-doesnt-work-c8b85a1e39c2
3•sgkey28•47m ago•0 comments

The Chinese Resignation Letter That Caused a CEO-Toppling Storm

https://www.sixthtone.com/news/1018741
7•firexcy•47m ago•0 comments

Why AI Orchestration Belongs in the Browser

https://www.esri.com/en-us/software-engineering/blog/articles/ai-orchestration-in-the-browser
2•dhrumil83•49m ago•0 comments

Caught a .git/Config Crawler

https://bruceediger.com/posts/git-config-spider/
4•birdculture•49m ago•1 comments

Artificiety – Agentic society in a fantasy world (early access)

https://artificiety.world
2•Haldt•52m ago•1 comments

Ternlight – 7 MB embedding model that runs in browser (WASM)

https://ternlight-demo.vercel.app/
27•soycaporal•53m ago•4 comments

Boffins bet on quantum computers, AI supers to solve fusion fuel dilemma

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5•Bender•54m ago•1 comments

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https://cindy.rs
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Ask HN: Buy Me a Coffee Alternative

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Fable turned remarkable into Tom Riddle's diary from Harry Potter

https://github.com/MaximeRivest/Riddle
38•modinfo•59m ago•9 comments

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https://www.youtube.com/watch?v=uCJ02B4DcDM
4•Bender•1h ago•0 comments

Home made 8192 Core RISC-V Cluster [video]

https://www.youtube.com/watch?v=qMR3IXF2sWw
3•boznz•1h ago•1 comments

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2•gnabgib•1h ago•2 comments

NASA's request to the private sector for plans for commercial space stations

https://sam.gov/workspace/contract/opp/19a8a55c066441ef891e33bac770dd9d/view
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Vessel

https://claude.ai/public/artifacts/2c647671-3f94-4d22-b3c1-f2b5a0e17b6e
11•schwarzarno•1h ago•1 comments

Proton now using 100% Chinese LLM's – drops European and US

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7•doener•1h ago•0 comments

Speechify's Simba 3.2 API takes the #1 spot on Artificial Analysis Speech Arena

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4•lukeocodes•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 ??