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Microsoft outage drags on for hours, disrupting Outlook, Teams for thousands

https://www.reuters.com/technology/microsoft-365-outlook-down-thousands-us-users-downdetector-sho...
1•JumpCrisscross•37s ago•0 comments

Brandrail – make Claude Code and Cursor follow your design system

https://github.com/brandrail-app/brandrail
1•thiago_baptiste•3m ago•0 comments

Claude for Manufacturing

https://claude.com/resources/articles/claude-for-manufacturing
1•jp_rider•4m ago•0 comments

Don't argue with me. $100k is fair, and you know it

https://folklore.org/Switcher.html
1•sammatilda•5m ago•0 comments

Anthropic carelessly killed a Claude Code feature users built on, no warning

https://github.com/anthropics/claude-code/issues/109446
1•rezzminator•6m ago•1 comments

Waymo robotaxis kept illegally passing school buses after software fix, feds say

https://techcrunch.com/2026/11/09/waymo-robotaxis-kept-illegally-passing-school-buses-after-softw...
1•gmays•7m ago•0 comments

Brave Search API now accepts agentic payments via the x402 protocol

https://brave.com/blog/search-api-agentic-payments/
1•sjdh76•12m ago•1 comments

The Guerrilla Artist Who Fixed L.A.'S Worst Freeway Sign

https://thelandmag.com/richard-ankrom-guerrilla-public-service-los-angeles-free/
2•karagenit•21m ago•1 comments

FBI says US has seized $1.2B worth of cryptocurrency stolen from Binance

https://apnews.com/article/fbi-binance-cryptocurrency-theft-north-korea-41be4834083e596a8facfd719...
3•awb•22m ago•0 comments

Contra "Glue work considered harmful"

https://sunshowers.io/posts/glue-work/
2•lwhsiao•22m ago•0 comments

Show HN: Woolly – Take your ChatGPT memory with you, local and open source

https://github.com/rjcuff/woolly
1•rjcuff•23m ago•0 comments

Loose Ends: A check for unused code AI wrote or forgot to remove

https://github.com/sid732/loose-ends
1•sid732•24m ago•0 comments

Show HN: Zipzi – Open-source Live2D Editor alternative with AI-assisted editing

https://github.com/getzipzi/zipzi-2d
1•pakholeung37•25m ago•0 comments

Ask HN: Do you distrust OSS projects with Claude commits?

2•rathboma•26m ago•2 comments

Venture Is Dead (Again)

https://colossus.com/article/venture-is-dead-again/
1•koolhead17•27m ago•0 comments

Doubling LLM token rates in ComfyUI

https://blog.comfy.org/p/doubling-llm-token-rates-in-comfyui
1•ivewonyoung•27m ago•0 comments

Show HN: TempCD – Temporarily CD in a directory with one command

https://github.com/Belligerently/TempCD
1•zaflalo•28m ago•0 comments

Notion AI chat transcripts exposed in Fireworks AI breach

https://www.notion.com/en-gb/security/advisories/security-incident-involving-a-third-party-ai-vendor
2•fourfire•30m ago•0 comments

All of us test in production all the time (2019)

https://increment.com/testing/i-test-in-production/
1•zenincognito•35m ago•1 comments

Show HN: Umsfuse: FUSE driver and tools for UMSDOS

https://fossil.chungy.name/umsfuse/doc/trunk/README.md
2•chungy•36m ago•0 comments

Anyone Heard of Yare

https://meetyare.vercel.app
1•atharv79•36m ago•0 comments

Show HN: Grow any hobby (skills for humans not AI)

https://grow-bonsai.app/
1•ag_rin•39m ago•1 comments

The Jensen Huang Scandal Should Change Everything

https://www.theatlantic.com/international/2026/11/nvidia-affair-chips-china/689417/
3•blondie9x•43m ago•0 comments

Escaping Space: Part II

https://www.perplexity.ai/hub/blog/escaping-space-part-ii
1•gmays•45m ago•0 comments

Show HN: Bricksentry – see what a data change does before it ships (Databricks)

https://github.com/bricksentry/bricksentry
1•kbreddy12•48m ago•0 comments

South Africans are giving up on Nelson Mandela's party. Good

https://www.economist.com/leaders/2026/11/12/south-africans-are-giving-up-on-nelson-mandelas-part...
1•andsoitis•51m ago•0 comments

Intelligent Eyewear with Gemini

https://glasses.google/
3•abrichr•52m ago•1 comments

No, AI agents did not discover a previously unknown Maya site

https://www.theverge.com/ai-artificial-intelligence/1032125/ai-agents-maya-site-archeology-discovery
3•latexr•52m ago•1 comments

Africa's solar revolution is vast and speedy

https://www.economist.com/middle-east-and-africa/2026/11/12/africas-solar-revolution-is-vast-and-...
54•andsoitis•52m ago•4 comments

Odog.net – Criminal Enterprise [pdf]

https://vault.fbi.gov/odog-criminal-enterprise/odog-criminal-enterprise-final/view
1•sans_souse•57m 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 ??