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Does Georgism work? Five years later

https://www.astralcodexten.com/p/does-georgism-work-five-years-later
53•silveraxe93•1d ago•20 comments

DeepSeek Elastic Compute (DSec)

https://arxiv.org/abs/2609.22978
142•shenli3514•6h ago•40 comments

PipePipe: NewPipe hard fork implementing SponsorBlock

https://github.com/InfinityLoop1308/PipePipe
311•Qision•1d ago•164 comments

Evolving programming languages in the AI era

https://dashbit.co/blog/evolving-ai-era
17•pjm331•1d ago•9 comments

Show HN: Reladraw – A diagram language where you decide where to place things

https://github.com/reladraw/reladraw
167•jpwalsh234•7h ago•47 comments

An agent used DNS to reach an external chatbot

https://alignment.openai.com/misalignment-reports/an-agent-used-dns-to-reach-an-external-chatbot/
30•apsec112•20h ago•18 comments

A searchable library of forgotten public-domain film clips from 1915 onward

https://www.movingimagearchive.com/
102•momentmaker•2d ago•23 comments

Go Concurrency Distilled

https://antonz.org/go-concurrency-distilled/
13•chmaynard•10h ago•0 comments

Welcome to the Medical Clinic at the Interplanetary Relay Station

https://www.lightspeedmagazine.com/fiction/welcome-to-the-medical-clinic-at-the-interplanetary-re...
41•bucket2015•4h ago•7 comments

LA Metro has some of the slowest escalators on Earth

https://basin.la/articles/ninety-feet-a-minute.html
72•big_toast•2d ago•49 comments

Drawgent: Coding agent on a live Excalidraw canvas

https://tangled.org/yanndegat.tngl.sh/drawgent
102•parasitid•8h ago•32 comments

Fifteen years later, the Apple Cards origin story

https://lexontech.org/fifteen-years-later-the-apple-cards-origin-story
335•ksec•15h ago•86 comments

Reverse-engineering the Intel 8087's tangent algorithm: more than CORDIC

https://www.righto.com/2026/09/8087-tangent-cordic.html
15•pwg•7h ago•3 comments

The Lost Atomic Update on Loongson CPU

https://jia.je/hardware/2026/09/24/loongson-cpu-erratum-en/
108•jiegec•2d ago•6 comments

How one Twitch chat message became code execution on a streamer’s PC

https://blog.scrt.ch/2026/09/22/how-one-twitch-chat-message-became-code-execution-on-a-streamers-pc/
19•tau255•23h ago•4 comments

The Evolution of Vending Machines

https://www.saturdayeveningpost.com/2026/09/from-holy-water-to-frozen-meals-the-evolution-of-vend...
9•ohjeez•7h ago•0 comments

Modern Object Pascal Introduction for Programmers

https://castle-engine.io/modern_pascal
142•birdculture•2d ago•57 comments

ASML says it sold 'absolutely nothing' in Europe in 2026

https://www.tomshardware.com/tech-industry/semiconductors/asml-says-its-sells-absolutely-nothing-...
136•MC995•1d ago•368 comments

Generate fonts where every LLM token is the same width

https://ampdot.mesh.host/token-space-fonts.html
21•z-mach9•1d ago•5 comments

Promising discoveries about the potential for life on one of Saturn’s icy moons

https://www.fu-berlin.de/en/presse/informationen/fup/2026/fup_26_116-enceladus-cassini-mikroben-s...
12•geox•21h ago•3 comments

How I changed teaching after AI managed to do all my homework assignments

https://thelastsoftwareengineer.substack.com/p/how-i-changed-teaching-after-ai-managed
120•azhenley•2d ago•127 comments

How to keep enjoying programming in a world of LLMs

https://discourse.haskell.org/t/how-to-keep-enjoying-programming-in-a-world-of-llms/14705
148•signa11•14h ago•208 comments

Dutch designer made DE9: Closer to the Edit into a playable web-based instrument

https://www.creativeboom.com/work/why-merijn-straathof-turned-a-landmark-techno-album-into-a-play...
6•ChrisArchitect•2d ago•1 comments

HomeBody: A humanoid that explores, remembers, and acts on its own

https://tml.stanford.edu/homebody/
10•famouswaffles•5h ago•1 comments

Japan moves to tighten rules for foreigners

https://www.aljazeera.com/economy/2026/9/25/japan-moves-to-tighten-rules-for-foreigners-throwing-...
120•mikhael•6h ago•316 comments

Analyzing Frontier Model Progress with My Favourite Game: Prince of Persia

https://blog.priyan.in/2026/09/analyzing-frontier-model-progress-with.html
55•msephton•1d ago•38 comments

Turning GLM-5.3-Flash into a Jev-like decision model

https://www.privatemode.ai/blog/system-one-from-glm-flash
8•flxflx•8h ago•3 comments

Reading’s Bayeux Tapestry

https://diamondgeezer.blogspot.com/2026/09/readings-bayeux-tapestry.html
10•zeristor•13h ago•1 comments

Breaking Up with Google Play: Why Conversations Is Now Free

https://gultsch.de/posts/breaking-up-with-google-play/
630•ezst•13h ago•249 comments

The Rise of Audio AR

https://www.dbreunig.com/2024/04/10/the_rise_of_audio_ar.html
28•dbreunig•2d ago•10 comments
Open in hackernews

Evolving programming languages in the AI era

https://dashbit.co/blog/evolving-ai-era
16•pjm331•1d ago

Comments

imtringued•13h ago
>This creates an interesting tension. Coding agents could dramatically reduce the cost of building an ecosystem while simultaneously weakening one of the forces that causes ecosystems to form in the first place.

This is deeply unintuitive but AI negates language specific ecosystems, while strengthening language agnostic ecosystems.

Pick whatever your favourite programming language is and its ecosystem. With AI someone can take your ecosystem and just port it to their language.

This means the only way you can protect your ecosystem is to play on all language fronts at the same time so porting the software to another language becomes a meaningless exercise.

pjm331•42m ago
I’m not sure. my read of this was that AI weakens human ecosystems in general because we don’t need to work together as much when we are all just working with AI separately, but maybe you have specific examples of language agnostic ecosystems in mind? I’m struggling to imagine what that would look like
verdverm•3m ago
maybe more like an ecosystem around a framework implemented in multiple language SDKs, here are two I use

https://adk.dev/

https://docs.dagger.io/reference/sdks

both can invoke components written in other languages from the language of your choice

Kubernetes is likely an interesting ecosystem to consider under this lens too

andriy_koval•26m ago
> With AI someone can take your ecosystem and just port it to their language.

I don't think its that "just". Examples of porting we seen had some prerequisites: being self contained with very strong tests coverage, so AI could iterate N millions times and fix bugs in new implementation. Otherwise such porting could be very buggy and unmaintainable.

3eb7988a1663•17m ago
Don't all of "serious" programming languages meet that bar? Java, C#, Go, Python, etc all have enormous test suites. Once you get into the third party, things become much more uneven, but if you can restrict yourself to say the top N packages in a language, those are going to have better than average development practices which makes that plausible.
andriy_koval•14m ago
> Once you get into the third party

year, that's usually what is referred as ecosystem.

jacquesm•22m ago
Why even assume that the most optimal programming languages for agentic coding are the ones that humans use? Maybe operate on ASTs directly? Some other form of programming that humans would find hard but that is a good fit for LLMs?
kloop•9m ago
Because human review is a serious bottleneck and optimizing something that isn't the bottleneck isn't helpful
furyofantares•11m ago
I'm using AssemblyScript inside a Rust host for most things (game prototypes). I never would have made this choice if coding by hand. I am not interested in anything without static types, and I want something to perform great both natively and in the browser, and further I want the compiler to work great in the browser as well and to be built into the products with no external dependencies. As a stretch goal I hope for my applications to be easily modified by the user in realtime, from an agentic harness built in.

Anyway. I have been surprised at how good the LLMs are at AssemblyScript, I'm barely aware of the memory model. It just hasn't caused problems.

I also build everything as client/server with a library for managing state that makes it so it's basically impossible for the LLM to make a mess in certain ways (making a spaghetti meal out of the UI and state), and also makes it very easy for the LLM to write tests and to operate and inspect the program state and to replay sessions. I think there might be something to this sort of regime.