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Personal Taste Is the Moat

https://wangcong.org/2026-01-13-personal-taste-is-the-moat.html
1•num42•49s ago•0 comments

Stealing 50 Years of Database Ideas for AI Agents

https://onewill.ai/blog/2026/stealing-50-years-of-database-ideas-for-ai-agents/
1•lmwnshn•1m ago•0 comments

Solid and Clean Code never felt solid or clean to me

https://devz.cl/posts/solid-never-felt-solid/
1•DanielVZ•2m ago•0 comments

Applesauce: Transparent Compression for Apple File System Compression (AFSC)

https://github.com/Dr-Emann/applesauce
2•soheilpro•6m ago•0 comments

After 6 months of delays, Brilliant Labs delays smartglasses again

https://jfloren.net/b/2026/6/30/0
2•floren•6m ago•0 comments

BYD's flagship electric SUV won an anti-motion-sickness certification

https://electrek.co/2026/06/30/byds-flagship-electric-suv-wins-anti-motion-sickness-certification/
1•dabinat•10m ago•1 comments

I need some inspiration for Diploma

3•sky_flower•12m ago•2 comments

Scaling PgBouncer across every core with SO_REUSEPORT and peering

https://clickhouse.com/blog/pgbouncer-clickhouse-managed-postgres
1•cauchyk•13m ago•0 comments

The 'Father of the Internet' is finally retiring

https://techcrunch.com/2026/06/30/the-father-of-the-internet-is-finally-retiring/
2•Brajeshwar•14m ago•0 comments

Statistical Picture of Quantum Mechanics

https://scottlocklin.wordpress.com/2026/06/27/statistical-picture-of-quantum-mechanics/
1•surprisetalk•15m ago•0 comments

GPT-5.6 cheats so much its testers couldn't measure it

https://www.transformernews.ai/p/openai-gpt-56-sol-cheating-scheming-metr
4•shakeelhashim•16m ago•2 comments

Show HN: A simulation of a hybrid pulse-position and duration modulation concept

https://github.com/Morphsec88/vse-compute-over-storage
2•Morphsec88•17m ago•0 comments

Show HN: Do you want a semantic cache for free with zero code changes?

https://github.com/GuglielmoCerri/khazad
1•guglielmoce•19m ago•0 comments

Meta loses bid to dismiss US states' claims that FB, Instagram addict children

https://www.reuters.com/legal/government/meta-loses-bid-dismiss-us-states-claims-that-facebook-in...
4•tartoran•19m ago•0 comments

How To Read Something: The book is a block of wood

https://chillphysicsenjoyer.substack.com/p/how-to-read-something
1•crescit_eundo•21m ago•1 comments

We Can Pay for College Just Changed. What Borrowers Need to Know

https://www.wsj.com/personal-finance/student-loans-repayment-deadline-8bbc06e4
1•JumpCrisscross•21m ago•0 comments

The worst API ever made (2014)

https://caseymuratori.com/blog_0025
1•KomoD•22m ago•0 comments

Wallpaper Engine: Removal of Application Wallpapers from the Workshop

https://store.steampowered.com/news/app/431960/view/699894448411116924
1•haunter•23m ago•0 comments

We're Making an Open Source American Kei Truck [video]

https://www.youtube.com/watch?v=tlZlyp55dww
1•abetusk•23m ago•1 comments

AOL Owner to Go Public at over $18B Valuation

https://www.wsj.com/finance/stocks/aol-owner-to-go-public-at-over-18-billion-valuation-d00f302c
2•JumpCrisscross•24m ago•0 comments

HamsterOS jams a 32-bit GUI operating system in a single 1.44 MB floppy disk

https://www.tomshardware.com/video-games/retro-gaming/hamsteros-jams-a-32-bit-gui-operating-syste...
2•LorenDB•24m ago•0 comments

Ozone depletion began decades before discovery of ozone hole

https://news.mit.edu/2026/scientists-find-ozone-depletion-began-decades-before-ozone-hole-discove...
1•gmays•25m ago•0 comments

What's holding up the rollout of persistent domain validation for ACME?

https://www.turbolightsolutions.com/posts/dns-persist-01-rollout-blocked-by-security-issue/
3•keydown•27m ago•0 comments

The Origin of Tweet (2013)

https://furbo.org/2013/06/28/the-origin-of-tweet/
1•downbad_•28m ago•0 comments

More Americans Are Installing Residential Battery Storage

https://www.bloomberg.com/news/articles/2026-07-01/us-home-battery-installations-boosted-by-state...
1•toomuchtodo•28m ago•1 comments

Kim Dotcom Loses Court of Appeal Bid to Block Extradition to the U.S.

https://torrentfreak.com/kim-dotcom-loses-court-of-appeal-bid-to-block-extradition-to-the-u-s/
6•Brajeshwar•28m ago•2 comments

Optimization tales with CockroachDB: the slow logout

https://gaultier.github.io/blog/optimization-tales-cockroachdb-part2-slow-logout.html
1•broken_broken_•29m ago•0 comments

In Praise of Observational Evidence

https://asteriskmag.com/issues/14/in-praise-of-observational-evidence
1•fi-le•29m ago•0 comments

A small island in Estonia negotiated special rights

https://news.err.ee/1610067196/ruhnu-residents-sought-to-join-sweden-after-estonia-regained-indep...
1•NalNezumi•29m ago•0 comments

Why changing your productivity system is good

https://birchtree.me/blog/why-changing-your-productivity-system-is-good-actually/
1•surprisetalk•30m 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 ??