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Kimi K3: Open Frontier Intelligence

https://www.kimi.com/blog/kimi-k3
1206•vincent_s•11h ago•748 comments

Microsoft Comic Chat is now open source

https://opensource.microsoft.com/blog/2026/07/16/microsoft-comic-chat-is-now-open-source/
554•jervant•10h ago•121 comments

LM Studio Bionic: the AI agent for open models

https://lmstudio.ai/blog/introducing-lm-studio-bionic
165•minimaxir•6h ago•64 comments

Decoy Font

https://www.mixfont.com/experiments/decoy-font
421•ray__•10h ago•100 comments

$100 AI Music Video: Claude Fable 5 vs. GPT-5.6 Sol

https://www.tryai.dev/blog/ai-music-video-arena-claude-vs-gpt-5.6
144•hershyb_•6h ago•149 comments

M 3.9 Experimental Explosion – 147 Km ENE of Ponce Inlet, Florida

https://earthquake.usgs.gov/earthquakes/eventpage/us7000t13l/executive
30•hnburnsy•1h ago•8 comments

NotebookLM is now Gemini Notebook

https://blog.google/innovation-and-ai/products/gemini-notebook/notebooklm-gemini-notebook/
250•xnx•10h ago•128 comments

The Little Book of Reinforcement Learning

https://github.com/alxndrTL/little-book-rl/
61•mustaphah•4h ago•10 comments

'Likweli': A new monkey species discovered in the Congo Basin

https://news.yale.edu/2026/07/15/meet-likweli-new-monkey-species-discovered-congo-basin
51•gmays•4h ago•7 comments

Solod: Go can be a better C

https://solod.dev
41•koeng•3d ago•12 comments

Mathematics of Data Science

https://arxiv.org/abs/2607.11938
101•Anon84•5h ago•3 comments

The Human-in-the-Loop Is Tired

https://pydantic.dev/articles/the-human-in-the-loop-is-tired
12•haritha1313•2h ago•5 comments

Helium escaping from atmosphere of nearby rocky exoplanet in a habitable zone

https://www.science.org/doi/10.1126/science.aea9708
70•anyonecancode•6h ago•17 comments

Detecting LLM-Generated Texts with “Classical” Machine Learning

https://blog.lyc8503.net/en/post/llm-classifier/
162•uneven9434•9h ago•109 comments

Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning

https://arxiv.org/abs/2607.12395
37•binyu•4h ago•14 comments

Immersive Linear Algebra Book with Interactive Figures (2015)

https://immersivemath.com/ila/
175•srean•10h ago•26 comments

Simulating everything, sort of: The promise and limits of world models

https://arstechnica.com/ai/2026/07/simulating-everything-sort-of-the-promise-and-limits-of-world-...
6•LorenDB•3d ago•0 comments

How Our Rust-to-Zig Rewrite Is Going

https://rtfeldman.com/rust-to-zig
415•jorangreef•14h ago•228 comments

CVE-2026-25089: FortiSandbox unauthenticated command injection added to CISA KEV

https://hellorecon.com/blog/cve-2026-25089
24•slvnx•4h ago•0 comments

Show HN: Mojibake – A low-level Unicode library written in C

https://mojibake.zaerl.com/
39•program•4h ago•6 comments

Show HN: Clx – Compile Lua to Native Executables Through C++20

https://github.com/samyeyo/clx
88•_samt_•5d ago•5 comments

The privacy problems hidden in your period tracker

https://www.bbc.com/future/article/20260715-how-period-trackers-share-womens-private-details
74•tchalla•6h ago•42 comments

Abstracting Effects with Continuations

https://crowdhailer.me/2026-07-15/abstracting-effects-with-continuations/
38•crowdhailer•15h ago•0 comments

Launch HN: Traceforce (YC S26) – Company-wide security monitoring for AI apps

38•XiaHua•9h ago•17 comments

Adaptional (YC S25) Is Hiring

https://www.ycombinator.com/companies/adaptional/jobs
1•acesohc•9h ago

Pseudpocalypse

https://dynomight.net/pseudpocalypse/
81•surprisetalk•2d ago•49 comments

How to Train a Gen AI Kick Drum Model on Your Old Linux Desktop with 6GB VRAM

https://www.zhinit.dev/blog/training-a-kick-drum-diffusion-model
100•zhinit•11h ago•55 comments

Goes-19 weather satellite enters Safe Hold mode

https://www.spaceweather.gov/news/goes-19-safe-hold
150•yabones•13h ago•75 comments

CD sales growth outpaced vinyl in the first half of 2026

https://consequence.net/2026/07/the-cd-revival-is-getting-hard-to-ignore/
64•speckx•9h ago•75 comments

Lingbot-map: A 3D foundation model for reconstructing scenes from streaming data

https://github.com/Robbyant/lingbot-map
5•olalonde•2h ago•0 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.