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Manipulating AI memory for profit: The rise of AI Recommendation Poisoning

https://www.microsoft.com/en-us/security/blog/2026/02/10/ai-recommendation-poisoning/
1•doener•3m ago•0 comments

European Space Agency, China achieve gigabit links to geostationary satellites

https://www.theregister.com/2026/03/04/gigabit_laser_links_geostationary_satellites/
1•pseudolus•3m ago•0 comments

Just Use Postgres

https://nesbitt.io/2026/03/10/just-use-postgres.html
2•watchful_moose•3m ago•0 comments

Ask HN: Agencies/MSPs, how do you manage VPN access across many clients?

1•k4roshi•3m ago•0 comments

I (Still) Use Aider in 2026

https://semyonsinchenko.github.io/ssinchenko/post/aider_2026_and_other_topics/
1•s-sem•4m ago•0 comments

Why should operating systems and websites track the user age?

https://wiki.alcidesfonseca.com/blog/age-verification-in-operating-systems-and-the-internet/
1•alcidesfonseca•5m ago•0 comments

Scientists discover how falling cats almost always make perfect landings

https://phys.org/news/2026-03-japanese-scientists-falling-cats.html
1•pseudolus•6m ago•0 comments

Hacker Infrastructure

1•yjtpesesu2•7m ago•0 comments

Show HN: Aver – a language designed for AI to write and humans to review

https://github.com/jasisz/aver
1•jasisz•7m ago•1 comments

Getweeks: A life calendar that connects your goals to weekly lifestyle changes

https://www.getweeks.com/fr
1•benlatger•10m ago•1 comments

Wikipedia faces a double threat: the rise of AI and the decline of local media

https://www.cbc.ca/radio/sunday/wikipedia-25-year-ai-effect-9.7117795
1•1vuio0pswjnm7•11m ago•0 comments

'Demand Management' is doomed

https://loosemore.com/2026/03/11/demand-management-is-doomed-heres-how-to-get-over-it/
1•robin_reala•11m ago•0 comments

The Mini Cheetah Robot (2019)

https://robot-daycare.com/posts/2019-12-16-the-mini-cheetah-robot/
1•o4c•15m ago•0 comments

Compile and flash an STM32 in 8s from a single prompt using function calling

https://github.com/PrettyMyGirlZyy4Embedded/garycli/tree/main
1•gary_cli•17m ago•0 comments

Lunches.fyi

https://walzr.com/lunches-fyi/
1•coyney•18m ago•0 comments

LMF – LLM Markup Format

https://github.com/sarfraznawaz2005/lmf
1•sarfraz_nawaz•19m ago•0 comments

What nearly broke you in your first year as CTO?

1•Cannonball2134•20m ago•0 comments

Zipp 2001 Restoration

https://robot-daycare.com/posts/zipp-2001-restoration-part-1/
1•o4c•21m ago•0 comments

Black Hat USA 2025 – Breaking Control Flow Integrity by Abusing Modern C++ [video]

https://www.youtube.com/watch?v=hxIPoi4ONNA
1•pjmlp•23m ago•0 comments

As US missiles leave South Korea, the Philippines asks: are we next?

https://www.scmp.com/week-asia/politics/article/3346226/us-missiles-leave-south-korea-philippines...
7•etiam•26m ago•0 comments

Show HN: AIWatermarkDetector: Detect AI Watermarks in text or code

https://github.com/ulrischa/AIWatermarkDetector
1•ulrischa•30m ago•1 comments

Whitehall can't cost digital ID until it decides how to build it

https://www.theregister.com/2026/03/11/digital_id_cost/
1•jjgreen•30m ago•0 comments

Meta Acquires Moltbook

https://arstechnica.com/ai/2026/03/meta-acquires-moltbook-the-ai-agent-social-network/
1•lnrd•30m ago•0 comments

The Anthropic Institute

https://www.anthropic.com/institute
1•pretext•31m ago•0 comments

The return-to-the-office trend backfires

https://thehill.com/opinion/technology/5775420-remote-first-productivity-growth/
4•PretzelFisch•33m ago•0 comments

Tensorlake

https://tensorlake.ai/
1•handfuloflight•35m ago•0 comments

Now I have a clear picture. Let me understand the issue

1•noduerme•35m ago•0 comments

I Need a Partner

2•justYooz•36m ago•1 comments

Ask HN: Which EU country would you recommend for setting up a startup?

1•stein1946•36m ago•1 comments

NextCell – a portable spreadsheet editor inspired by Excel 97

https://redata.dev/nextcell/
3•Suliman123•37m ago•1 comments
Open in hackernews

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

1•quartztz•10mo 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•10mo 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•10mo 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 ??