frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

The Comma Four

https://blog.comma.ai/comma-four/
1•benjaminclauss•31s ago•0 comments

Is This How the AI Bubble Pops?

https://ofdollarsanddata.com/is-this-how-the-ai-bubble-pops/
1•andrevoget•1m ago•0 comments

Show HN: Sparse Matrix-Vector Multiplication that works at 30–90% sparsity

https://github.com/vlejd/macko_spmv
1•vlejd•1m ago•0 comments

Show HN: I analyzed 5k comments to quantify the Jira vs. Linear sentiment gap

https://deltabrandcheck.com/battles/linear-vs-jira
1•13pixels•2m ago•0 comments

AIMusubi – Local-First Agentic Network Automation for Cisco, Arista, and VyOS

https://github.com/aimusubi/aimusubi
1•aimusubi•2m ago•1 comments

Large language mistake Cutting-edge research shows language is not intelligence

https://www.theverge.com/ai-artificial-intelligence/827820/large-language-models-ai-intelligence-...
1•DrierCycle•3m ago•1 comments

Dark Side of Bug Bounty Pogrammes

https://medium.com/@christoscoming/dark-side-of-bug-bounty-programs-stop-wasting-time-to-report-a...
1•kalkikriva•4m ago•0 comments

Spyware Allows Cyber Threat Actors to Target Users of Messaging Applications

https://www.cisa.gov/news-events/alerts/2025/11/24/spyware-allows-cyber-threat-actors-target-user...
1•HelloUsername•4m ago•0 comments

When Poetry Meets AI Safety: A Critical Look at "Universal" Jailbreaks

https://daridor.blog/2025/11/23/when-poetry-meets-ai-safety-a-critical-look-at-universal-jailbreaks/
1•beagle3•4m ago•0 comments

Arduino's new terms of service worries hobbyists ahead of Qualcomm acquisition

https://arstechnica.com/gadgets/2025/11/arduinos-new-terms-of-service-worries-hobbyists-ahead-of-...
1•donutshop•5m ago•0 comments

The Value of Turning Around

https://steplong.substack.com/p/the-backwardsness-of-ideas-part-1
2•p44v9n•6m ago•0 comments

Germany wakes up to US tech dominance

https://www.politico.eu/article/germany-france-us-tech-dominance/
1•aa_is_op•7m ago•0 comments

We built a AI system that scores RW SMBs in 24–48h (curious about feedback)

1•rivellium•7m ago•0 comments

What does it mean to be massively against AI?

https://pythonbynight.com/blog/massively-against-ai
1•todsacerdoti•8m ago•0 comments

Content Repurposing Tools (and What They Do)

https://aiforcontentmarketing.ai/the-best-content-repurposing-tools-and-what-they-actually-do/
1•pakostina•9m ago•0 comments

Starlink Direct to Cell Available in Ukraine

https://kyivstar.ua/starlink
1•defly•10m ago•0 comments

Cheetos and Doritos to offer "no orange dust" variations starting December 1

https://www.pepsico.com/newsroom/stories/2025/cheetos-and-doritos-are-getting-naked
1•bookofjoe•10m ago•0 comments

Building AI Agents for DevOps: From CI/CD Automation to Autonomous Deployments

https://muhammadraza.me/2025/building-ai-agents-devops-automation/
2•mr_o47•10m ago•0 comments

Age Verification, Estimation, Assurance, Oh My a Guide to the Terminology

https://www.techdirt.com/2025/11/24/age-verification-estimation-assurance-oh-my-a-guide-to-the-te...
2•speckx•10m ago•0 comments

Microsoft is speeding up the Teams desktop client for Windows

https://www.bleepingcomputer.com/news/microsoft/microsoft-to-boost-teams-performance-with-new-cal...
1•fleahunter•10m ago•0 comments

My New Yorker college roommate and I vibe-coded "Mamdani Run"

https://mamdanirun.cc/
3•gavrielamati•11m ago•1 comments

Authenticating AI Agents

https://fusionauth.io/blog/ai-agent-identity-overview
1•mooreds•11m ago•0 comments

Hotelling's Law

https://fffej.substack.com/p/hotellings-law
2•mooreds•12m ago•0 comments

Show HN: Deft-Intruder – Real-time malware detection daemon for Linux

https://github.com/539hex/deft-intruder
1•539hex•12m ago•0 comments

Lessons from two failed promotions and what changed after ZIRP

https://world.hey.com/joaoqalves/lessons-from-two-failed-promotions-and-what-changed-after-zirp-d...
1•joaoqalves•13m ago•0 comments

Show HN: Bindu – an auth, payment, and communication layer for AI agents

https://github.com/GetBindu/Bindu
1•raahul_rahl•14m ago•0 comments

Leveraging tech communities for your career

https://sia.codes/posts/career-and-community/
1•mooreds•14m ago•0 comments

Markdown Translator

https://github.com/fanzhidongyzby/markdown-translator
1•fanzhidongyzby•14m ago•0 comments

Launch HN: Onyx (YC W24) – The open-source chat UI

1•Weves•15m ago•0 comments

Apt Rust requirement raises questions

https://lwn.net/SubscriberLink/1046841/5bbf1fc049a18947/
2•todsacerdoti•18m ago•0 comments
Open in hackernews

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

1•quartztz•7mo 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•7mo 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•7mo 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 ??