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Muse Spark 1.3

https://developer.meta.com/ai/models/muse-spark/
522•bvaldivielso•11h ago•356 comments

Gemini 3.8 Flash and 3.8 Flash Cyber

https://blog.google/innovation-and-ai/models-and-research/gemini-models/3-8-flash-and-3-8-flash-c...
963•bratao•15h ago•544 comments

The Computer Museum of America reclamation project

https://computer-museum.org/wp/
19•rbanffy•2d ago•9 comments

Google avoids a breakup of its ad tech business

https://www.nytimes.com/2026/09/02/technology/google-ad-tech-remedies.html
353•donohoe•16h ago•253 comments

Holden's Lightning Flight

https://en.wikipedia.org/wiki/Holden%27s_Lightning_flight
131•ColinWright•2d ago•21 comments

Three sites made 215,128 “best software” pages for AI. Perplexity cites them

https://trellner.com/reports/manufactured-sources-behind-ai-recommendations/
375•jakobgreenfeld•17h ago•179 comments

Creating Backup Storage Sucks

https://smarmelling.com/posts/creating-backup-storage-sucks.html
30•smarmelling•2d ago•22 comments

Can I opt out of my input or output data being used for training?

https://help.mistral.ai/en/articles/455207-can-i-opt-out-of-my-input-or-output-data-being-used-fo...
422•teekert•18h ago•180 comments

Launch HN: RonanRX (YC S26) – Personalized Peptides and GLP-1s

50•lloydarmbrust•8h ago•61 comments

Higher Multipoles of the Cow

https://arxiv.org/abs/2504.00506
51•MrOrelliOReilly•1d ago•12 comments

Reverse Engineering Unknown File Formats with ImHex

https://werwolv.net/posts/file_format_reverse_engineering/
165•carlos-menezes•2d ago•34 comments

Fable 5.1 World Modeling

https://github.com/PhiloLabs/fable51-worlds
206•surreal_•11h ago•62 comments

Show HN: OwnTime – a chess clock for your day's priorities

https://owntime.app/
54•fmos•1d ago•25 comments

The shrinking landscape of linguistic diversity in the age of LLMs

https://www.nature.com/articles/s41562-026-02550-0
120•Anon84•3d ago•95 comments

LLMs and Self-Referentiality

https://scottaaronson.blog/?p=10046
15•mavdol04•1d ago•5 comments

Biggest dark matter detector spots a single weird particle

https://www.science.org/content/article/world-s-biggest-dark-matter-detector-spots-single-weird-p...
276•randycupertino•17h ago•91 comments

Wendell Berry has died

https://www.nytimes.com/2026/08/31/us/wendell-berry-dead.html
172•Curiositry•2d ago•92 comments

Aging brains blend memories together instead of just forgetting them

https://studyfinds.com/aging-brains-blend-memories-together-instead-of-forgetting-them-study-finds/
255•mdp2021•18h ago•114 comments

Qantas Airbus A380 engine failure in 2010 (2023)

https://admiralcloudberg.medium.com/a-matter-of-millimeters-the-story-of-qantas-flight-32-bdaa62d...
116•gumby•12h ago•71 comments

Engineering of the fastest WebAssembly interpreters

https://wasmi-labs.github.io/blog/posts/wasmi-v2.0/
80•herobird•1d ago•6 comments

Exit the Cave

https://turtlespace.blog/p/exit-the-cave
244•akkartik•16h ago•89 comments

Async Rust vs RTOS showdown (2022)

https://tweedegolf.nl/en/blog/65/async-rust-vs-rtos-showdown/
77•kooi•12h ago•41 comments

Whistleblower warns Postal Service mail ballot system has catastrophic problems

https://www.cbsnews.com/news/whistleblower-postal-service-new-mail-ballot-system/
245•ck2•1d ago•175 comments

A Selection of Los Alamos Rolodex Business Cards

https://clui.org/collections/los-alamos-business-cards/selection-cards
156•1970-01-01•2d ago•41 comments

Nango (YC W23) is hiring across eng, product and GTM (SF and remote)

https://nango.dev/careers
1•bastienbeurier•10h ago

We could save petabytes of cache storage with Zstandard and Pingora

https://blog.cloudflare.com/cache-transcoding/
98•torutofu•1d ago•37 comments

Poisson Disk Sampling

https://stripeacross.com/posts/poisson-disk-sampling/
151•vismit2000•17h ago•19 comments

Ask HN: Advice on Migrating from 1Password?

10•0xbadcafebee•1h ago•10 comments

WebLLM: high-performance in-browser LLM inference engine

https://github.com/mlc-ai/web-llm
106•saikatsg•17h ago•17 comments

Altair Basic Interpreter Source Code (1975) [pdf]

https://images.gatesnotes.com/12514eb8-7b51-008e-41a9-512542cf683b/34d561c8-cf5c-4e69-af47-3782ea...
53•Eridanus2•10h ago•33 comments
Open in hackernews

JEP 515: Ahead-of-Time Method Profiling

https://openjdk.org/jeps/515
101•cempaka•1y ago

Comments

nmstoker•1y ago
Would be interesting if the Faster Python team considered this approach for Python (although maybe they already did?)
motoboi•1y 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•1y 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•1y ago
I thought Graal was going to slowly replace HotSpot?
vips7L•1y ago
There was talk of the graal jit replacing C2, but native image will never replace HotSpot.
mshockwave•1y 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•1y ago
Is this similar/the same as Azul Zing’s ReadyNow feature?
rst•1y 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•1y 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•1y 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.