frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Ring cameras go mobile as Amazon debuts AI-powered security drone and robot

https://arstechnica.com/ai/2026/11/ring-cameras-go-mobile-as-amazon-debuts-ai-powered-security-dr...
1•rbanffy•26s ago•0 comments

JSON vs. jsonb in Postgres: size and speed, measured

https://now-next.nl/en/insights/postgresql-json-vs-jsonb-measured/
1•plaur782•44s ago•0 comments

Show HN: NoDOM high performance WASM UI kit for DuckDB-WASM

https://osullivj.github.io/nodom_ukprop/
1•osullivj•1m ago•0 comments

Show HN: A DOCX editing library inspired by Rosyln's syntax trees

https://github.com/Eazydraft/docxtor
1•bigguycodes•1m ago•0 comments

Real-time prompt-based stream editing for AR at 1080p, 46 FPS and 87 ms latency

https://drsandor.net/post/ismar-2026/
1•chris_sandor•2m ago•1 comments

Show HN: Allow individuals to sell traces to AI labs

https://velen.sh
1•adammajcher•3m ago•0 comments

Anthropic Road Show Video

https://www.netroadshow.com/custom/IPO/Anthropic/retail/roadshow.html
2•iSloth•4m ago•0 comments

Robo-Fuckers – An LLM Bromance

https://willmcgugan.com/blog/robo-fuckers/
1•willm•5m ago•0 comments

In the Hole

https://thedailywtf.com/articles/in-the-hole
1•jjgreen•7m ago•0 comments

SPLink-Data Linkage at Scale

https://moj-analytical-services.github.io/splink/index.html
1•tomrod•9m ago•0 comments

Show HN: TrueDate – Filter searches to pre-2023 and detect fake article dates

https://github.com/zdying/true-date-extension
2•zdying•9m ago•0 comments

Zellij 0.46: built-in terminal, attention inbox, session previews

https://zellij.dev/news/terminal-inbox-session-previews/
1•worble•9m ago•0 comments

Show HN: Aq – an attention queue TUI for Claude Code

https://github.com/nodo-labs-uk/attention-queue
1•orbis-tertius•16m ago•0 comments

Thomas Dolby on 'Tour'

https://www.thomasdolby.com/tour-dates/
1•aureliusm•20m ago•1 comments

Show HN: ThingStudio, Node-RED style programming for microcontrollers

https://thingstudio.net/
3•mkarliner•20m ago•0 comments

Physically Controllable Relighting of Photographs

https://yaksoy.github.io/PhysicalRelighting/
3•summarity•21m ago•0 comments

KaiT2en, Linux on T2 MacBook pros

https://kait2en.org/
2•B4uler5•23m ago•1 comments

Continuous glucose monitoring uncovers metabolic risk in adults without diabetes

https://www.medrxiv.org/content/10.64898/2026.11.03.26367126v1
1•flinner•25m ago•0 comments

A Writing Skill for Agents

https://github.com/JangHyun-bin/human-readable-writing
1•narnia0981•27m ago•0 comments

Ares: Multi System Emulator

https://ares-emu.net/
1•tosh•34m ago•0 comments

Fake accounts defended Jensen Huang and attacked lawmakers over chip exports

https://twitter.com/TheMidasProj/status/2120212290385707321
3•pretext•34m ago•0 comments

Fixing a 25 dB LR1110 LNA gain bug on the Elecrow ThinkNode M9 (WadaMesh)

https://github.com/ALLFATHER-BV/wadamesh/pull/804
1•tinkeringdao•37m ago•0 comments

An Obituary for My Grandparents

https://abuseofnotation.github.io/obituary/
1•phoronixrly•42m ago•0 comments

What's New in Node.js 27

https://nodejsdesignpatterns.com/blog/whats-new-in-nodejs-27/
4•birdculture•42m ago•0 comments

The Zig project is going nowhere

https://bytecode.news/posts/2026/10/the-zig-project-is-going-nowhere
28•luxgile•42m ago•16 comments

I photographed cosplayers at Tokyo's Halloween festival

https://www.kulman.sk/en/ikebukuro-cosplay-festival/
1•ig0r0•44m ago•1 comments

Do verifiable metrics overestimate RSI?

https://www.lesswrong.com/posts/7znBtiPuQybFLxjmj/do-verifiable-metrics-overestimate-rsi
1•eatitraw•45m ago•0 comments

Show HN: Pure-JavaFX God's Eye View – Tracking flights and live cameras [video]

https://www.youtube.com/watch?v=DKgJRHRo26I
1•anahata•46m ago•1 comments

Show HN: Reinwatch – a Claude Code mod that stops runaway subagents

https://github.com/sofumel/reinwatch
1•sofumel•47m ago•0 comments

Apple TV introduces new Sign Language interpretation feature

https://www.apple.com/newsroom/2026/11/apple-tv-introduces-new-sign-language-interpretation-feature/
1•ingve•47m 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 ??