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Starting from scratch: Training a 30M Topological Transformer

https://www.tuned.org.uk/posts/013_the_topological_transformer_training_tauformer
39•tuned•2h ago•8 comments

What is Plan 9?

https://fqa.9front.org/fqa0.html#0.1
27•AlexeyBrin•34m ago•4 comments

Command-line Tools can be 235x Faster than your Hadoop Cluster (2014)

https://adamdrake.com/command-line-tools-can-be-235x-faster-than-your-hadoop-cluster.html
79•tosh•5h ago•45 comments

The guide to real-world EV battery health

https://www.geotab.com/blog/ev-battery-health/
15•giuliomagnifico•1h ago•5 comments

ThinkNext Design

https://thinknextdesign.com/home.html
143•__patchbit__•7h ago•62 comments

Show HN: Figma-use – CLI to control Figma for AI agents

https://github.com/dannote/figma-use
14•dannote•8h ago•5 comments

Iconify: Library of Open Source Icons

https://icon-sets.iconify.design/
349•sea-gold•7h ago•36 comments

Erdos 281 solved with ChatGPT 5.2 Pro

https://twitter.com/neelsomani/status/2012695714187325745
227•nl•10h ago•181 comments

Milk-V Titan: A $329 8-Core 64-bit RISC-V mini-ITX board with PCIe Gen4x16

https://www.cnx-software.com/2026/01/12/milk-v-titan-a-329-octa-core-64-bit-risc-v-mini-itx-mothe...
33•fork-bomber•6d ago•11 comments

Keystone (YC S25) Is Hiring

1•pablo24602•2h ago

Profession by Isaac Asimov

https://www.abelard.org/asimov.php
118•bkudria•11h ago•20 comments

ASCII characters are not pixels: a deep dive into ASCII rendering

https://alexharri.com/blog/ascii-rendering
1060•alexharri•1d ago•122 comments

jQuery 4

https://blog.jquery.com/2026/01/17/jquery-4-0-0/
426•OuterVale•9h ago•135 comments

Show HN: GibRAM an in-memory ephemeral GraphRAG runtime for retrieval

https://github.com/gibram-io/gibram
34•ktyptorio•7h ago•4 comments

A free and open-source rootkit for Linux

https://lwn.net/SubscriberLink/1053099/19c2e8180aeb0438/
20•jwilk•4h ago•4 comments

The longest Greek word

https://en.wikipedia.org/wiki/Lopado%C2%ADtemacho%C2%ADselacho%C2%ADgaleo%C2%ADkranio%C2%ADleipsa...
146•firloop•10h ago•64 comments

The recurring dream of replacing developers

https://www.caimito.net/en/blog/2025/12/07/the-recurring-dream-of-replacing-developers.html
516•glimshe•23h ago•398 comments

Consent-O-Matic

https://github.com/cavi-au/Consent-O-Matic
114•throawayonthe•4h ago•67 comments

We put Claude Code in Rollercoaster Tycoon

https://labs.ramp.com/rct
483•iamwil•5d ago•268 comments

The grab list: how museums decide what to save in a disaster

https://www.economist.com/1843/2025/11/21/the-grab-list-how-museums-decide-what-to-save-in-a-disa...
30•surprisetalk•4d ago•2 comments

Kip: A programming language based on grammatical cases of Turkish

https://github.com/kip-dili/kip
206•nhatcher•17h ago•62 comments

No knives, only cook knives

https://kellykozakandjoshdonald.substack.com/p/no-knives-only-cook-knives
80•firloop•14h ago•36 comments

How London cracked mobile phone coverage on the Underground

https://www.ianvisits.co.uk/articles/how-london-finally-cracked-mobile-phone-coverage-on-the-unde...
99•beardyw•5d ago•93 comments

Poking holes into bytecode with peephole optimisations

https://xnacly.me/posts/2026/purple-garden-first-optimisations/
3•ibobev•2d ago•0 comments

When Sysadmins Ruled the Earth (2006)

https://craphound.com/overclocked/Cory_Doctorow_-_Overclocked_-_When_Sysadmins_Ruled_the_Earth.html
19•b112•2h ago•1 comments

Play chess via Slack DMs or SMS using an ASCII board

https://github.com/dvelton/dm-chess
16•dustfinger•6d ago•5 comments

Raising money fucked me up

https://blog.yakkomajuri.com/blog/raising-money-fucked-me-up
297•yakkomajuri•19h ago•103 comments

Five Practical Lessons for Serving Models with Triton Inference Server

https://talperry.com/en/posts/genai/triton-inference-server/
17•talolard•4d ago•2 comments

If you put Apple icons in reverse it looks like someone getting good at design

https://mastodon.social/@heliographe_studio/115890819509545391
620•lateforwork•14h ago•232 comments

Xous Operating System

https://xous.dev/
148•eustoria•3d ago•57 comments
Open in hackernews

JEP 515: Ahead-of-Time Method Profiling

https://openjdk.org/jeps/515
101•cempaka•8mo ago

Comments

nmstoker•8mo ago
Would be interesting if the Faster Python team considered this approach for Python (although maybe they already did?)
motoboi•8mo 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•8mo 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•8mo ago
I thought Graal was going to slowly replace HotSpot?
vips7L•8mo ago
There was talk of the graal jit replacing C2, but native image will never replace HotSpot.
mshockwave•8mo 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•8mo ago
Is this similar/the same as Azul Zing’s ReadyNow feature?
rst•8mo 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•8mo 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•8mo 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.