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Ask HN: How do you audit autonomous AI agent decisions?

1•credentum•1m ago•0 comments

AI Design Field Guide

https://www.aidesignfieldguide.com/
1•samuel246•1m ago•0 comments

Ask HN: Anyone seeing copy/paste reliability issues in ChatGPT Web on macOS?

1•sallyrideauto•4m ago•0 comments

What I Mean by "Dream Team"

https://theproductmindedqa.com/on-dream-teams/
1•sabdelrahman•5m ago•0 comments

FBI: Common Frauds and Scams

https://www.fbi.gov/how-we-can-help-you/scams-and-safety/common-frauds-and-scams
2•gk1•10m ago•0 comments

Logical Intelligence brings LeCun on board as it touts AI breakthrough

https://www.ft.com/content/157bb0e3-9d6c-47ac-afc5-6944981e10ef
2•aarghh•15m ago•0 comments

Show HN: GluonDB – Cursor for Your Database

https://gluondb.com
1•jernestomg•16m ago•0 comments

Why the price of coffee has skyrocketed

https://english.elpais.com/economy-and-business/2025-12-28/why-the-price-of-coffee-has-skyrockete...
1•PaulHoule•17m ago•0 comments

ICE says officers can forcibly enter homes without a judicial warrant

https://www.nbcnews.com/news/us-news/ice-policy-officers-enter-homes-immigration-without-judicial...
3•Volundr•19m ago•2 comments

Real-time head-tracking 3D viewer head-coupled perspective effect

https://off-axis-sneaker.bolt.host/
1•nateb2022•20m ago•1 comments

Show HN: Faramesh – A deterministic gate for stochastic Autonomous AI agents

1•amjadfatmi1•21m ago•0 comments

Browser Lab: 3D editor and creative coding environment that runs in the browser

https://github.com/icurtis1/thebrowserlab
1•nateb2022•23m ago•0 comments

Gadgets for people who don't trust the government

https://www.youtube.com/watch?v=W_F4rEaRduk
1•hansjorg•23m ago•0 comments

1993: Web Browsers Add Multimedia and Mtv.com Goes Online

https://cybercultural.com/p/1993-mtv-internet/
2•cdrnsf•26m ago•0 comments

Jensen Huang: Future AI jobs will come with hardhat and boots

https://www.theregister.com/2026/01/22/future_ai_jobs_tech_bigshots/
2•defrost•27m ago•0 comments

A new randomization technique to preserve outcome uniformity

https://github.com/satmihir/uniform-outcomes
1•jscrab•30m ago•1 comments

Show HN: QingMing – Exact vector search on consumer GPUs (no index)

https://github.com/uulong950/qingming-flat/blob/main/README.md
1•uulong•30m ago•1 comments

Discord WebSocket leaks 'Invisible' users by explicitly sending 'offline' status

https://xmrcat.org/discord-invisibility-bypass
2•xmrcat•31m ago•0 comments

Designing AI-resistant technical evaluations

https://www.anthropic.com/engineering/AI-resistant-technical-evaluations
4•mfiguiere•32m ago•1 comments

Significant US Farm Losses Persist, Despite Federal Assistance

https://www.fb.org/market-intel/significant-farm-losses-persist-despite-federal-assistance
33•toomuchtodo•36m ago•16 comments

Internet voting is insecure and should not be used in public elections

https://blog.citp.princeton.edu/2026/01/16/internet-voting-is-insecure-and-should-not-be-used-in-...
75•WaitWaitWha•37m ago•44 comments

The Bitter Lesson of Agent Frameworks

https://twitter.com/gregpr07/status/2012052139384979773
1•gmays•39m ago•0 comments

Technical decisions that killed my SaaS

https://dontkillsaas.framer.website/
1•sillygoose_189•41m ago•1 comments

Additive white Gaussian noise

https://en.wikipedia.org/wiki/Additive_white_Gaussian_noise
1•gjvc•42m ago•0 comments

States Are Gunning to Ban 3D Printers and CNCs

https://www.electronicdesign.com/blogs/nonlinearities/blog/55352019/electronic-design-states-ban-...
10•WaitWaitWha•44m ago•3 comments

UK national security assessment: Global biodiversity loss, ecosystem collapse [pdf]

https://assets.publishing.service.gov.uk/media/696e0eae719d837d69afc7de/National_security_assessm...
4•heresie-dabord•46m ago•0 comments

Machine Learning Feature Store Book – Example Projects

https://github.com/featurestorebook/mlfs-book
1•teleforce•49m ago•0 comments

Prototaxites

https://en.wikipedia.org/wiki/Prototaxites
1•Metacelsus•49m ago•0 comments

Windows update disaster: security patch causes widespread system failures

https://www.forbes.com/sites/zakdoffman/2026/01/21/nightmare-microsoft-update-breaks-windows-for-...
1•xthe•50m ago•0 comments

NASA ends financial support for planetary science groups

https://www.scientificamerican.com/article/nasa-quietly-ends-financial-support-for-planetary-scie...
3•voxadam•50m ago•0 comments
Open in hackernews

Ask HN: Is there a general, multi-PL programming task dataset?

1•quartztz•9mo 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•9mo 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•9mo 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 ??