frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Frontier AI agents violate ethical constraints 30–50% of time, pressured by KPIs

https://arxiv.org/abs/2512.20798
336•tiny-automates•9h ago•221 comments

Discord will require a face scan or ID for full access next month

https://www.theverge.com/tech/875309/discord-age-verification-global-roll-out
1751•x01•21h ago•1703 comments

Rust implementation of Mistral's Voxtral Mini 4B Realtime runs in your browser

https://github.com/TrevorS/voxtral-mini-realtime-rs
280•Curiositry•10h ago•28 comments

Show HN: Pipelock – All-in-one security harness for AI coding agents

https://github.com/luckyPipewrench/pipelock
3•pipejosh•21m ago•0 comments

.Beat Swatch Internet Time

https://beats.wiki/
51•Deprogrammer9•5d ago•37 comments

Pure C, CPU-only inference with Mistral Voxtral Realtime 4B speech to text model

https://github.com/antirez/voxtral.c
192•Curiositry•11h ago•16 comments

Discord Alternatives, Ranked

https://taggart-tech.com/discord-alternatives/
333•pseudalopex•17h ago•191 comments

Why is the sky blue?

https://explainers.blog/posts/why-is-the-sky-blue/
641•udit99•20h ago•225 comments

Converting a $3.88 analog clock from Walmart into a ESP8266-based Wi-Fi clock

https://github.com/jim11662418/ESP8266_WiFi_Analog_Clock
532•tokyobreakfast•19h ago•165 comments

Hard-braking events as indicators of road segment crash risk

https://research.google/blog/hard-braking-events-as-indicators-of-road-segment-crash-risk/
311•aleyan•19h ago•433 comments

LiftKit – UI where "everything derives from the golden ratio"

https://www.chainlift.io/liftkit
209•peter_d_sherman•14h ago•104 comments

Is particle physics dead, dying, or just hard?

https://www.quantamagazine.org/is-particle-physics-dead-dying-or-just-hard-20260126/
143•mellosouls•12h ago•222 comments

Luce: First Electric Ferrari

https://www.ferrari.com/en-US/auto/ferrari-luce
207•kaizenb•17h ago•227 comments

Show HN: Total Recall – write-gated memory for Claude Code

https://github.com/davegoldblatt/total-recall
22•davegoldblatt•4d ago•11 comments

Sandboxels

https://neal.fun/sandboxels/
316•2sf5•20h ago•41 comments

Zulip.com Values

https://zulip.com/values/
103•nothrowaways•11h ago•22 comments

Qwen-Image-2.0: Professional infographics, exquisite photorealism

https://qwen.ai/blog?id=qwen-image-2.0
108•meetpateltech•3h ago•71 comments

Show HN: Elysia JIT "Compiler", why it's one of the fastest JavaScript framework

https://elysiajs.com/internal/jit-compiler
14•saltyaom•2d ago•0 comments

AI doesn’t reduce work, it intensifies it

https://simonwillison.net/2026/Feb/9/ai-intensifies-work/
161•walterbell•7h ago•150 comments

Eight more months of agents

https://crawshaw.io/blog/eight-more-months-of-agents
151•arrowsmith•2d ago•157 comments

MIT Technology Review has confirmed that posts on Moltbook were fake

https://www.technologyreview.com/2026/02/06/1132448/moltbook-was-peak-ai-theater/
121•helloplanets•2d ago•58 comments

Upcoming changes to Let's Encrypt and how they affect XMPP server operators

https://blog.prosody.im/2026-letsencrypt-changes/
131•zaik•15h ago•147 comments

UEFI Bindings for JavaScript

https://codeberg.org/smnx/promethee
232•ananas-dev•22h ago•111 comments

America has a tungsten problem

https://www.noleary.com/blog/posts/1
180•noleary•15h ago•173 comments

Thoughts on Generating C

https://wingolog.org/archives/2026/02/09/six-thoughts-on-generating-c
231•ingve•22h ago•80 comments

Ask HN: What are you working on? (February 2026)

286•david927•1d ago•972 comments

Game Theory Patterns at Work (2016)

https://daeus.blog/2026/01/18/game-theory-patterns-at-work/
96•kurinikku•15h ago•7 comments

Generative Pen-Trained Transformer

https://theodore.net/projects/Polargraph/
52•Twarner•4d ago•1 comments

Corruption Perceptions Index 2025

https://www.transparency.org/en/cpi/2025
22•tosh•1h ago•2 comments

The Abstraction Rises

https://cyber-omelette.com/posts/the-abstraction-rises.html
58•birdculture•2d ago•14 comments
Open in hackernews

JEP 515: Ahead-of-Time Method Profiling

https://openjdk.org/jeps/515
101•cempaka•9mo ago

Comments

nmstoker•9mo ago
Would be interesting if the Faster Python team considered this approach for Python (although maybe they already did?)
motoboi•9mo ago
The most impact will be achieved on java standard library, like Streams (cited in the article). Right now, although their behavior is well stablished and they are mostly used in the "factory" mode (no user subclassing or implementation of the stream api), they cannot be shipped with the JVM already compiled.

If you can find a way (which this JEP is one way) to make the bulk of the java standard api AOT compiled, then java programs will be faster (much faster).

Also, the JVM is already an engine marvel (java JIT code is fast as hell), but this will make java programs much nimbler.

rzwitserloot•9mo ago
I assume you meant with the AOT argument: "The initial few minutes of a JVM's existence, which would be the entire lifetime if you're using java the way you use e.g. your average executable in your `/usr/bin` dir".

Saying "java programs will be faster" is perhaps a bit misleading to those who don't know how java works. This will speed up only the first moments of a JVM execution, nothing more. Or, I misread the JEP, in which case I'd owe you one if you can explain what I missed.

As a java developer this will be lightly convenient when developing. We go through JVM warmup a lot more than your average user ever does. Personally I think I'm on the low end (I like debuggers, and I don't use TDD-style "what I work on is dictated by a unit test run and thus I rerun the tests a lot during development". But still it excites me somewhat, so that should mean your average java dev should be excited quite a bit by this.

I am not all that experienced in it, but I gather that lambda-style java deployments (self contained simple apps that run on demand and could in theory be operating on a 'lets boot up a JVM to run this tiny job which won't last more than half a second') have looong ago moved on from actually booting JVMs for every job, such as by using Graal, an existing AOT tool. But if you weren't using those, hoo boy. This gives every java app 'graal level bootup' for as far as I can tell effectively free (a smidge of disk space to store the profile).

For the kinds of java deployments I'm more familiar with (a server that boots as the box boots and stays running until a reboot is needed to update deps or the app itself), this probably won't cause a noticable performance boost.

indolering•9mo ago
I thought Graal was going to slowly replace HotSpot?
vips7L•9mo ago
There was talk of the graal jit replacing C2, but native image will never replace HotSpot.
mshockwave•9mo ago
in addition to storing profiles, what about caching some native code? so that we can eliminate the JIT overhead for hot functions

EDIT: they describe this in their "Alternative" section as future work

tikkabhuna•9mo ago
Is this similar/the same as Azul Zing’s ReadyNow feature?
rst•9mo ago
Faint echoes of the very first optimizing compiler, Fortran I, which did a monte carlo simulation of the flow graph to attempt to detect hot spots in the flow graph so it could allocate registers to inner loops first.
indolering•9mo ago
OpenJ9 has had some of this type of functionality for a while now. Glad to see the difference between interpreted and compiled languages continue to get fuzzier.
pjmlp•9mo ago
Even longer than that, OpenJ9 AOT capabilities, and JIT cache, go back to the Websphere Real-Time JVM, whose branding had nothing to do with J2EE application server.

Most documentation is gone from the Internet, I was able to dig one of the old manuals,

https://ftpmirror.your.org/pub/misc/ftp.software.ibm.com/sof...

These kind of features have been available in commercial JVMs like those for a while now, what the community is finally getting are free beer versions of such capabilities.