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Mercury Arc Rectifiers – Kempton Steam Museum [video]

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

Bubbuild/republic: A Python library for AI providers

https://github.com/bubbuild/republic
1•l2dy•3m ago•0 comments

Microsoft confirms Windows 11 won't let you move the Taskbar like on Windows 10

https://www.windowscentral.com/microsoft/windows-11/its-a-deliberate-design-decision-not-a-missin...
1•thunderbong•4m ago•0 comments

Double Trouble (From Macbeth)

https://potw.org/archive/potw283.html
1•joebig•12m ago•0 comments

FineDNA: Open data to train LLMs on DNA

https://huggingface.co/datasets/HuggingFaceBio/FineDNA
3•pixel_art•22m ago•0 comments

V0.5.0 of PSSA: a non-transformer language model

https://github.com/Sparticle62ops/pssa/releases/tag/v0.5.0
2•JPLeRouzic•24m ago•0 comments

Open data and code to teach LLMs to read DNA

https://github.com/huggingface/carbon
3•testerui•25m ago•0 comments

Briareus: Segment-parallel distributed video transcoder in Go, built on FFmpeg

https://github.com/omanshchoudhary/briareus
2•handfuloflight•27m ago•0 comments

Show HN: AnchorGit – Hardware-signed Git decision ledger for AI code

https://www.anchorgit.com
1•rahool-bk•31m ago•0 comments

Stuck on an island for years, can't get transit visa to fly home

https://www.bbc.co.uk/news/articles/cmq5npz5l5geo
2•squirrel•34m ago•1 comments

Recycling ANSI art: Tracing the origins of Fire Escape's logon screens

https://breakintochat.com/blog/2026/10/25/recycling-ansi-art/
1•naves•36m ago•0 comments

The Shinkansen's legendary operation and safety record

https://www.hsrail.org/blog/the-shinkansens-legendary-operation-and-safety-record-2/
1•thunderbong•37m ago•0 comments

Agentic Backdoors via Pretraining Poisoning

https://arxiv.org/abs/2610.37741
1•espeed•40m ago•0 comments

How to Live with AI

https://humanpro.co/articles/how-to-live-with-ai/
1•gx•41m ago•0 comments

Show HN: Janet LSP with VS Code Extension

https://marketplace.visualstudio.com/items?itemName=kulkarniniraj.yajlsp
2•kulkarniniraj•43m ago•0 comments

Show HN: Kin – Natural language search for family voice notes and memories

https://kin.camera
1•vishalborana34•48m ago•0 comments

How HN: Nexus Doctor – A multi-language OS diagnostic engine (Rust/COBOL/Ruby)

https://github.com/Aissamohammedi88/nexus-doctor.sh
1•Nackher_news•57m ago•0 comments

Pac-Man's Siren Call

https://unsung.aresluna.org/pac-mans-siren-call/
2•tobr•1h ago•2 comments

Show HN: Resticker – A tiny macOS menu bar app for reliable restic backups

https://github.com/marcboeker/resticker
1•laughingparrot•1h ago•0 comments

Who pays for the AI power boom?

https://www.axios.com/2026/10/31/who-pays-ai-power-boom
1•latentframe•1h ago•0 comments

Resisting Cognitive Surrender

https://knlb.dev/essays/surrender
1•knlb•1h ago•0 comments

Work, Art, and Study: AI and Ownership

https://ninchiai.substack.com/p/work-art-and-study-ai-and-ownership
1•jbethune•1h ago•0 comments

Bastard

https://bez-lightyear.bearblog.dev/bastard/
3•HotGarbage•1h ago•0 comments

Tetr.io

https://tetr.io/
1•delian66•1h ago•1 comments

The AI cost of JavaScript frameworks

https://nolanlawson.com/2026/10/28/the-ai-cost-of-javascript-frameworks/
4•luu•1h ago•0 comments

Show HN: StackVitals – CI failure triage and DORA metrics, no server

https://github.com/stackvitals/stackvitals
2•kaushik-yadav•1h ago•0 comments

Working at Big Tech Companies Can Be a Trap (2019) [video]

https://www.youtube.com/watch?v=6amgO4dIotk
1•wseqyrku•1h ago•0 comments

Ransome and May Mill Engine

https://modelengineeringwebsite.com/Ransome_&_May_mill_engine.html
1•pillars•1h ago•0 comments

Machining Square Inside Corners: Conquer the Nightmare

https://makeitfrommetal.com/machining-square-inside-corners-the-nightmare/
2•pillars•1h ago•0 comments

Model Aero Engines Free Manufacturable Plans/Blueprints

https://outerzone.co.uk/plans.asp?cat=Engines
5•pillars•1h ago•0 comments
Open in hackernews

CheerpJ 4.0: WebAssembly JVM for the browser, now with Java 11 and JNI support

https://labs.leaningtech.com/blog/cheerpj-4.0
9•apignotti•1y ago

Comments

palata•1y ago
That's technically pretty cool, but it makes me wonder:

In order to run a Java Desktop app, I need to install a JVM first (or the Desktop app can embed it, I guess that's what IntelliJ does, right?).

Now if I run CheerpJ, it means that I essentially download a JVM when I load the page (every time), and run code in that JVM. But at this point, why not downloading a Desktop app?

It feels like we are going around, shipping simple web pages together with full browsers and calling that "desktop apps" (e.g. ElectronJS), then shipping complete JVMs as web pages and calling that a "web page"... why don't we just ship simple webpages through browsers and complex desktop apps through package managers?

apignotti•1y ago
With CheerpJ you are downloading the subset of the JVM that you need, and actually only once thanks to the standard browser cache.

There are many reasons why shipping via the browser is a better choice compared to shipping desktop apps. The main 3 in my opinion are:

1. Distribution: Give your user a link and the app will start 2. Isolation: The user can have confidence the app won't read his personal files. 3. Cross-platform: Every OS and every device, for real this time

yuri91•1y ago
For reference, when loading https://browsercraft.cheerpj.com for the first time (up to loading a world), my browser downloaded ~32MB.

The second time almost nothing.

jeffreportmill1•1y ago
And here's an entire Java IDE with CheerpJ that downloads less than 15mb:

https://reportmill.com/SnapCode

palata•1y ago
> With CheerpJ you are downloading the subset of the JVM that you need

That's interesting! May I ask how it works? Does that also happen with e.g. IntelliJ?

> Every OS and every device, for real this time

Doesn't the JVM run everywhere in 2025?

apignotti•1y ago
> That's interesting! May I ask how it works? Does that also happen with e.g. IntelliJ?

Byte ranges request do most of the heavy lifting, data is loading exclusively on-demand.

> Doesn't the JVM run everywhere in 2025?

What about iOS? Android has Java, but can't run desktop Java apps. Chromebooks also have limits.

palata•1y ago
> Byte ranges request do most of the heavy lifting, data is loading exclusively on-demand.

I don't understand what that means. The JVM is supposed to interpret and sometimes compile bytecode, right? How can it be done with only a fraction of the JVM?

Or are you saying that it is constantly communicating with a server that does the work?

apignotti•1y ago
The VM itself is very small, it's the OpenJDK runtime that is quite sizeable. Byte ranges are used to only download the parts of the runtime (in terms of bytecode) that are required.

There is no server-side computation. CheerpJ runs code exclusively client-side.

palata•1y ago
But you said before that you only download a subset of the JVM, right? Or did you mean a subset of the JDK, including the JVM and... I guess other stuff?
apignotti•1y ago
I meant the JVM in an extended sense: the combination of the bytecode parsing, JIT compiler and OpenJDK runtime. You are right, I should have been more precise and refer to only the runtime part, which is by far the most significant.
palata•1y ago
I was not trying to prove you wrong, I'm just genuinely interested :-). I don't see a lot of articles about the JVM these days.