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Not causal chains, but interactions and adaptations

https://surfingcomplexity.blog/2025/05/19/not-causal-chains-but-interactions-and-adaptations/
1•frogulis•20s ago•0 comments

Software That Implements Itself

https://achad4.substack.com/p/software-that-implements-itself
1•achad4•25s ago•0 comments

Known Applications of XML

https://xml.silmaril.ie/whatfor.html#xml-uses
1•protomolecool•34s ago•0 comments

What 15M Gemini conversations tell us about AI at work

https://leaddev.com/ai/what-15-million-gemini-conversations-tell-us-about-ai-at-work
1•chhum•1m ago•0 comments

Can We Measure Qualia? – Naotsugu Tsuchiya [video]

https://www.youtube.com/watch?v=lvZ5ZufigZ4
1•binyu•2m ago•0 comments

I teach calculus at Berkeley. Some of my students can't do middle school math

https://sfstandard.com/opinion/2026/08/15/uc-berkeley-sat-test-blind-admissions-math-scores/
2•CGMthrowaway•3m ago•0 comments

The beautiful mathematics behind OpenAI's sphere packing result

https://www.empirical.health/blog/ai-math-sphere-packing/
1•brandonb•4m ago•0 comments

AI-Induced Psychosis. A Look at Some Academic Papers

https://read.misalignedmag.com/ai-induced-psychosis-a-look-at-some-academic-papers-7143e60bb7d7
1•lcubw•4m ago•1 comments

Flat Chair by Sara Paculdo

https://www.toxel.com/tech/2026/08/07/flat-chair-by-sara-paculdo/
1•surprisetalk•5m ago•0 comments

One Video per Day

https://www.onevideoperday.com
1•flingflangflode•5m ago•0 comments

Ask HN: Alternatives to GitHub

3•dhruv3006•7m ago•2 comments

OpenAI o1 System Card (2024)

https://arxiv.org/abs/2412.16720
1•ronfriedhaber•8m ago•0 comments

How Claude's Text Watermarking Works

https://sebastianraschka.com/blog/2026/claude-text-watermarking.html
1•ModelForge•8m ago•0 comments

How to ship a database every day

https://turbopuffer.com/blog/control-plane
1•tarunnnp•10m ago•0 comments

Satellites and artificial intelligence are transforming wildfire detection

https://www.theguardian.com/us-news/2026/aug/17/satellites-ai-wildfire-detection
1•andsoitis•11m ago•0 comments

On AI Coding and Its Discontents

https://calnewport.com/on-ai-coding-and-its-discontents/
2•signa11•11m ago•0 comments

I refused to give a launcher Full Disk Access, so I built one

https://www.minid.net/2026/8/17/thirty-minutes-to-replace-the-app-i-refused-to-install
1•meerita•12m ago•0 comments

Vietnam B789 at Munich, late rotation, tailstrike, runway overrun, tyre damage

https://avherald.com/h?article=53da99f6&opt=0
1•Markoff•12m ago•0 comments

A Peek Inside the Black Box of Epigenetic Clocks

https://nautil.us/a-peek-inside-the-black-box-of-epigenetic-clocks-1283841
3•Brajeshwar•12m ago•0 comments

Cool and Innovative Hiring Page

https://imgur.com/a/gkkEmGV
1•Scouttie•13m ago•0 comments

Ask HN: How are teams sharing AI/agent setups internally?

1•TBraunz•13m ago•0 comments

Python Libraries That Make Data Cleaning More Enjoyable

https://www.kdnuggets.com/5-python-libraries-that-make-data-cleaning-more-enjoyable
2•eigenBasis•14m ago•0 comments

Show HN: VectorAtlas – a free 80KB SVG world map with per-country IDs

https://github.com/melenaos/Menelabs.VectorAtlas
2•melenaos•16m ago•0 comments

Show HN: Good web design inspiration for makers focused on results not awards

https://websitevice.com/
1•devluc•17m ago•0 comments

Do That Which Makes Your Life Easy

https://elijahpotter.dev/articles/do-that-which-makes-your-life-easy
1•chilipepperhott•17m ago•0 comments

3D-printing enthusiast creates 'Flock Sock' to blind controversial cameras

https://www.tomshardware.com/3d-printing/3d-printing-enthusiast-creates-flock-sock-camera-blind-s...
1•pavel_lishin•18m ago•0 comments

Why is this 15 year old still in Morocco and not in some big company?

2•kirito1337•20m ago•2 comments

A Preview of DuckDB v2.0

https://duckdb.org/2026/08/17/duckdb-20-highlights
4•ibotty•20m ago•0 comments

We Tracked a Shipment of Rare Books. It Ended at an Amazon AI Training Facility

https://www.404media.co/we-tracked-a-shipment-of-rare-books-it-ended-at-an-amazon-ai-training-fac...
6•amarcheschi•22m ago•3 comments

Tlbic v11.0: Steering Capital from Speculation to the Real Economy

https://drive.google.com/file/d/1gjcpLTIh4VPY3gh7gCe2ql04H6sMUycq/view?usp=drive_link
1•michikawa59•22m ago•1 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 ??