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Slow Token, Fast Action – Learning in Robotics

https://atomsfrontier.substack.com/p/slow-token-fast-action
1•jpatel3•36s ago•0 comments

Germany launches €125M push to build Europe's frontier AI

https://www.euronews.com/next/2026/05/25/we-have-no-time-to-waste-germany-launches-125m-push-to-b...
2•alexreysa•1m ago•0 comments

Cannabis meta-study finds no evidence it helps anxiety, depression, or PTSD

https://thesciverse.org/the-largest-cannabis-study-ever-conducted-found-no-evidence-it-helps-anxi...
1•ck2•3m ago•1 comments

Show HN: SonoVault Music Metadata API for Builders

https://sonovault.now
1•christilut•3m ago•0 comments

AI-Effiecency in the Workplace

1•localhoster•3m ago•0 comments

Appraising Artworks with Joins and LLMs (Ultorg Database UI)

https://www.ultorg.com/docs/edit/fill-with-ai/
1•eirikbakke•5m ago•1 comments

Beyond the Semantic Layer: Building a Context Layer for the Agentic Era

https://www.kaelio.com/blog/building-a-context-layer-for-the-agentic-era
2•zazuke•6m ago•0 comments

The Death of the Reader

https://www.theatlantic.com/ideas/2026/06/ai-writing-reading-nazir/687419/
1•NordStreamYacht•6m ago•0 comments

What 13 AI adoption myths taught us about organizations

https://singularityforge.space/2026/06/04/di-in-business/
1•Voice_of_Void•6m ago•0 comments

Researchers develop a low-cost technique to get lithium out of rocks

https://news.mit.edu/2026/mit-researchers-develop-low-cost-technique-lithium-from-rocks-0528
2•gmays•7m ago•0 comments

Show HN: GateTest – 110 QA checks in one scan, auto-fix PR for what it finds

https://www.gatetest.ai/
1•McCracken49•9m ago•0 comments

Defending LLM–Database Integrations from Prompt Injection

https://www.stackbuilders.com/insights/when-text-becomes-code-defending-llmdatabase-integrations-...
1•StackBuilders•9m ago•0 comments

A hosting company auto-installed and activated an AI plugin on 1M+ WP sites

https://wordpress.org/support/plugin/sg-ai-studio/reviews/
3•blurayfin•11m ago•0 comments

Two-thirds of the web is invisible to AI bots

https://medium.com/@gp_24803/two-thirds-of-the-web-is-invisible-to-ai-bots-ae7dc8f04b91
1•Greg_engagemii•11m ago•0 comments

Programming the Apollo Guidance Computer in Blockly

https://neil.fraser.name/software/blockly-agc/
2•ahlCVA•12m ago•0 comments

Show HN: Reproducible experiments without committing every tweak

https://github.com/DLR-Institute-of-Future-Fuels/rair
1•Saloc•12m ago•0 comments

Arch Linux 2026 Leader Election Results

https://archlinux.org/news/arch-linux-2026-leader-election-results/
1•Hackbraten•13m ago•0 comments

Generative UI Is the New Front End

https://www.theunwindai.com/p/generative-ui-is-the-new-frontend
1•swiftlyTyped•13m ago•0 comments

The Quest to Mine the Bottom of the Sea

https://www.nytimes.com/interactive/2026/06/03/climate/deep-sea-mining-tests-hidden-gem.html
1•mistersquid•13m ago•0 comments

Windows Printer Driver Architecture

https://learn.microsoft.com/en-us/windows-hardware/drivers/print/printer-driver-architecture
2•ankitg12•13m ago•0 comments

Java Performance

https://en.wikipedia.org/wiki/Java_performance
1•tosh•14m ago•0 comments

The Pope Takes Aim at Silicon Valley Culture

https://12gramsofcarbon.com/p/tech-things-the-pope-has-some-thoughts
2•theahura•15m ago•0 comments

K‑Shaped Pattern in Regions, Wider Gap in Gas Spending

https://libertystreeteconomics.newyorkfed.org/2026/05/the-regional-side-of-the-story-k-shaped-pat...
1•mooreds•15m ago•0 comments

Learn PHP in 2026 (Yes, Really)

https://fagnerbrack.com/learn-php-in-2026-yes-really-bd567753dd84
1•shantnutiwari•15m ago•0 comments

Women and Leadership: Widening the Pipeline

https://www.ecb.europa.eu/press/key/date/2026/html/ecb.sp260604~f5d373b29f.en.html
1•mooreds•16m ago•0 comments

Cutting a photon in two creates an infinite swarm of particles

https://phys.org/news/2026-06-photon-infinite-swarm-particles.html
2•wjSgoWPm5bWAhXB•16m ago•0 comments

Ian Bremmer on the Risks America Poses to the World [video]

https://www.youtube.com/watch?v=syl9OLNSm4k
2•mooreds•16m ago•0 comments

Ask HN: So what happened to Facebook "localhost" tracking?

5•juliusceasar•18m ago•1 comments

Ocean sensors will go dark under Trump funding cuts

https://apnews.com/article/climate-oceans-data-trump-science-a9539443dfaa32b3a67468a25f8b2674
2•ColinWright•19m ago•0 comments

CSS subgrid is super good

https://dbushell.com/2026/04/02/css-subgrid-is-super-good/
1•eustoria•19m 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 ??