frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

How to Lie With Statistics (1954) [pdf]

https://www.horace.org/blog/wp-content/uploads/2012/05/How-to-Lie-With-Statistics-1954-Huff.pdf
1•jruohonen•32s ago•0 comments

We ran Terminal-Bench 4.0 11% cheaper and 12% faster than the frontier labs

https://www.omnara.com/blog/terminal-bench-cheaper-faster
1•cmsparks•48s ago•0 comments

Redditor uses AI to get Switch games running natively on Apple TV

https://www.engadget.com/2306727/redditor-uses-ai-to-get-switch-games-running-natively-on-apple-tv/
1•croes•1m ago•0 comments

Show HN: GPT-Live and GPT-Realtime: Arch Trade-Offs Behind Continuous Voice AI

https://agentunicorn.ai/research/gpt-live-voice-ai-tradeoffs
1•flashnik•2m ago•0 comments

Swarm Intelligence

https://kevinkelly.substack.com/p/swarm-intelligence
2•saikatsg•3m ago•1 comments

Claude's new Personal Finance tool aims to help analyze your spending

https://www.zdnet.com/innovation/personal-finance-claude-anthropic/
1•swolpers•4m ago•0 comments

NTS: Authenticated Time at Meta

https://engineering.fb.com/2026/10/06/production-engineering/nts-authenticated-time-at-meta/
3•kumrayu•5m ago•0 comments

Anti-Oligarchy Activists Plan to Dox Elon Musk, 100s of Billionaire-Linked Homes

https://www.wired.com/story/anti-oligarchy-activists-plan-to-dox-elon-musk-and-hundreds-of-billio...
4•buellerbueller•9m ago•0 comments

What It Took to Build Wafer-Scale, and Why It Lasts

https://www.cerebras.ai/blog/what-it-took-to-build-wafer-scale-and-why-it-lasts
2•hasheddan•9m ago•0 comments

Mario Draghi on Debt, Growth and Europe's Future

https://philippdubach.com/posts/mario-draghi-europe-growth-debt/
1•7777777phil•11m ago•0 comments

Anthropic's models improving nearly twice as fast with help from AI, study finds

https://www.reuters.com/technology/anthropics-models-improving-nearly-twice-fast-with-help-ai-stu...
1•onemoresoop•11m ago•0 comments

The Economics of Automation

https://marosilabs.com/notes/the-economics-of-automation
1•parvardegr•11m ago•1 comments

Show HN: Lunar – a coding harness built for transparency and efficiency

2•gszr•11m ago•0 comments

I deleted all my SSH keys

https://blog.infected.systems/posts/2026-11-03-i-deleted-all-my-ssh-keys/
1•speckx•12m ago•0 comments

Show HN: Replay three AI agent approval failures in five seconds, in Python

https://github.com/salahmakboul/call4agents
2•iuogh71•12m ago•0 comments

Show HN: Resilient AI Worker Queue with Redis, BullMQ, and Budget Kill Switches

https://github.com/sidsri14/resilient-ai-worker-kit
2•sidsri1234•13m ago•0 comments

Show HN: Magertron – AI Orchestrator for agents' tools, APIs, LLMs and streams

https://magertron.com/#install
2•curtismager20•15m ago•1 comments

So, about that Anthropic IPO

https://www.ft.com/content/2fbd60ee-060a-4957-b9c5-3b5a0ce88e1a
3•samizdis•16m ago•1 comments

Alpine Linux rebuilt its GitLab server after a close call

https://www.zdnet.com/tech/alpine-linux-rebuilt-gitlab-server-attack/
2•CrankyBear•16m ago•0 comments

My Take on Jev

https://sunbeams.ai/blog/jev-new-class-of-models/
2•mooreds•18m ago•0 comments

Show HN: The web needs more creativity and whimsy

https://ignition.github.io/press/
2•ignition•20m ago•0 comments

The Southwest's extreme flooding foreshadows a wild El Niño winter

https://grist.org/extreme-weather/extreme-flooding-in-the-southwest-foreshadows-a-wild-el-nino-wi...
2•speckx•21m ago•0 comments

Artificial Epanorthosis: Why LLMs overuse a classical rhetorical figure

https://arxiv.org/abs/2607.21498
1•Anon84•22m ago•0 comments

Agility's Digit 5 humanoid robot will run on Nvidia as it heads for Nasdaq

https://thenextweb.com/news/agility-robotics-digit-5-nvidia-igx-thor
1•gmays•23m ago•0 comments

Spliddit Algorithm

https://github.com/AitanG/spliddit
1•skogstokig•23m ago•0 comments

Show HN: A terminal viewer for plain text data files (JSON,YAML,CSV,XML,)

https://aless.tabnas.dev/
1•rjrodger•26m ago•0 comments

Does SpiritFone Work?

http://spirititc.org/2026/10/19/spiritfone-spirit-acknowledges-they-are-listening-to-me/
1•pkshadygrove•26m ago•3 comments

Show HN: PitchFlip – Silicon Valley origin stories as flipbooks

https://pitchflip.shiptiffin.app
1•bilater•28m ago•0 comments

TeXmacs Upsilon

https://mgubi.github.io/texmacs/
1•remywang•28m ago•0 comments

Personal Finance in Claude

https://claude.com/resources/articles/introducing-personal-finance-in-claude
4•louiereederson•28m ago•4 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.