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TriggerAPI – A native API client written in Go with full support for MCP servers

https://github.com/nomad-software/triggerapi
1•kalekold•18s ago•0 comments

Damage Control

https://fireborn.mataroa.blog/blog/damage-control/
1•devinprater•3m ago•0 comments

Reducing Reward Hacking by Localizing Bad Behavior Instead of Penalizing It

https://alignment.anthropic.com/2026/graft/
1•medbar•3m ago•0 comments

Do Markets Dream of Artificial Intelligence? (DNB Working Paper)

https://www.dnb.nl/en/publications/research-publications/working-paper-2026/871-do-markets-dream-...
1•latentframe•4m ago•0 comments

Hooked on YouTube

https://www.nbcnews.com/specials/hooked-youtube-videos-schools-junk-infiltrating-classrooms-google/
2•hollerith•4m ago•0 comments

Show HN: Frink – Desktop-first app for multi-step workflows and parallel agents

https://github.com/benord-labs/frink
1•norvalbv•6m ago•0 comments

Google support pages start defaulting to AI chatbots

https://9to5google.com/2026/10/19/google-support-ai-summary-chatbot-update/
1•tech234a•7m ago•0 comments

Michael Rabin's fingerprints across the theory of computation

https://eccc.weizmann.ac.il/report/2026/259/
1•matt_d•8m ago•0 comments

Can a Million AI Agents Create Superintelligence?

https://www.noahpinion.blog/p/can-a-million-ai-agents-create-superintelligence
1•speckx•12m ago•0 comments

Summonos: An omarchy-inspired macOS environment

https://github.com/RohiRIK/SummonOS
1•RohiRik•14m ago•0 comments

Deriving Efficient Hardware in the Bluespec Style

https://stng.substack.com/p/deriving-efficient-hardware-in-the
1•matt_d•15m ago•0 comments

What Shall I Teach My Son?

https://stevekrouse.com/ends
2•Curiositry•15m ago•0 comments

Redux, docs, and career advice with Mark Erikson

https://www.youtube.com/watch?v=oKFAFAU50sA
1•jdauriemma•16m ago•0 comments

My coding agent deleted a project without asking. The audit log says I did it

https://zabta.ai/blog/my-coding-agent-deleted-a-project
3•Regzaar•16m ago•2 comments

MSP 101: Simply Typed Lambda Calculus [video]

https://www.youtube.com/watch?v=lluk5MOrtHM
1•matt_d•17m ago•0 comments

Blanets and Weird Worlds

https://www.antipope.org/charlie/blog-static/2026/10/bizarre-blanets-and-other-weir.html
2•dan-bailey•17m ago•0 comments

Amazon ECS Gateway: A fully-managed ingress solution for ECS services

https://aws.amazon.com/blogs/aws/introducing-amazon-ecs-gateway-a-fully-managed-ingress-solution-...
1•ilreb•18m ago•0 comments

Show HN: FacilisCam, Android camera in one line of code

https://github.com/al3j4ndrolm/FacilisCam
1•lopezalejandro•18m ago•0 comments

How a Differential Works

https://www.autotechart.com/how-it-works/differential/
1•at1as•18m ago•0 comments

Phalanx CIWS Defense Simulator

https://ciws.obliscence.com/
1•mik3y•19m ago•0 comments

Show HN: Open-source edge data governance library

https://www.csvpath.org
1•djekershaw•19m ago•0 comments

Language models can learn to tell when their activations are being read

https://github.com/SauersML/watching
1•torsi0n•20m ago•0 comments

Show HN: Vistas – slow-moving scenes generated by Opus 5.5

https://www.emergentmind.com/vistas
1•matt1•20m ago•0 comments

NPM and Left-Pad: Have We Forgotten How to Program? (2016)

https://web.archive.org/web/20160323230602/http://www.haneycodes.net/npm-left-pad-have-we-forgott...
2•Apocryphon•23m ago•0 comments

GPT-6.1 Terra is in a Microsoft PR

https://twitter.com/LuminaBench/status/2112189697388613850
1•theanonymousone•25m ago•0 comments

Announcements

https://www.anthropic.com/news/announcements
2•surprisetalk•25m ago•0 comments

From hackathon prototype to production ML: Building PredictPay at Affirm

https://tech.affirm.com/predictpay-from-hackathon-idea-to-smarter-payments-at-scale-a8dc7c3837db
2•alexanderstatni•25m ago•0 comments

Linux 7.4 Removing Its Broken and Rarely Touched Code for ARM64 Big Endian

https://www.phoronix.com/news/Linux-7.4-Removes-ARM64-BE
2•haunter•26m ago•0 comments

Omnii-1: a leap toward general biological intelligence

https://www.radicalnumerics.ai/blog/omnii-1
4•ilreb•26m ago•0 comments

AI's Midas problem: When code is free, features are worthless

https://thenewstack.io/ai-commoditizes-software-value/
1•theanonymousone•26m 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.