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What an unprocessed photo looks like

https://maurycyz.com/misc/raw_photo/
1553•zdw•12h ago•258 comments

Show HN: Z80-μLM, a 'Conversational AI' That Fits in 40KB

https://github.com/HarryR/z80ai
176•quesomaster9000•5h ago•42 comments

Staying ahead of censors in 2025

https://forum.torproject.org/t/staying-ahead-of-censors-in-2025-what-weve-learned-from-fighting-c...
146•ggeorgovassilis•5h ago•100 comments

Asking Gemini 3 for Brainf*ck code puts it in an infinite loop

https://teodordyakov.github.io/brainfuck-agi/
27•TeodorDyakov•1h ago•20 comments

You can make up HTML tags

https://maurycyz.com/misc/make-up-tags/
269•todsacerdoti•8h ago•101 comments

Developing a Beautiful and Performant Block Editor in Qt C++ and QML

https://rubymamistvalove.com/block-editor
49•michaelsbradley•2d ago•15 comments

Binaries

https://fzakaria.com/2025/12/28/huge-binaries
49•todsacerdoti•5h ago•19 comments

Show HN: My not-for-profit search engine with no ads, no AI, & all DDG bangs

https://nilch.org
87•UnmappedStack•5h ago•48 comments

Unity's Mono problem: Why your C# code runs slower than it should

https://marekfiser.com/blog/mono-vs-dot-net-in-unity/
203•iliketrains•13h ago•104 comments

My First Meshtastic Network

https://rickcarlino.com/notes/electronics/my-first-meshtastic-network.html
53•rickcarlino•6h ago•23 comments

Koine

https://github.com/pattern-zones-co/koine
9•handfuloflight•3d ago•2 comments

As AI gobbles up chips, prices for devices may rise

https://www.npr.org/2025/12/28/nx-s1-5656190/ai-chips-memory-prices-ram
173•geox•12h ago•249 comments

Software engineers should be a little bit cynical

https://www.seangoedecke.com/a-little-bit-cynical/
205•zdw•13h ago•140 comments

Growing up in “404 Not Found”: China's nuclear city in the Gobi Desert

https://substack.com/inbox/post/182743659
772•Vincent_Yan404•1d ago•341 comments

MongoBleed Explained Simply

https://bigdata.2minutestreaming.com/p/mongobleed-explained-simply
197•todsacerdoti•14h ago•79 comments

Researchers discover molecular difference in autistic brains

https://medicine.yale.edu/news-article/molecular-difference-in-autistic-brains/
140•amichail•12h ago•78 comments

Best practices for long-run LED strip installs (20–50M) to avoid flicker?

4•emmasuntech•4d ago•0 comments

PySDR: A Guide to SDR and DSP Using Python

https://pysdr.org/content/intro.html
184•kklisura•15h ago•8 comments

EU to build no-fee payments service like Visa/Mastercard and Apple/Google Pay

https://www.independent.ie/business/digital-euro-what-it-is-and-how-we-will-use-the-new-form-of-c...
63•seanieb•1h ago•46 comments

Spherical Cow

https://lib.rs/crates/spherical-cow
98•Natfan•12h ago•14 comments

Fast GPU Interconnect over Radio

https://spectrum.ieee.org/rf-over-fiber
30•montroser•7h ago•3 comments

Formally Verifying Peephole Optimisations in Lean

https://l-m.dev/cs/formally-verifying-peephole-optimisations-in-lean/
7•l-mdev•6d ago•3 comments

Mouse: Computer Programming Language

http://mouse.davidgsimpson.com/
13•gappy•2d ago•3 comments

Slaughtering Competition Problems with Quantifier Elimination (2021)

https://grossack.site/2021/12/22/qe-competition.html
56•todsacerdoti•12h ago•0 comments

Formulaic Delimiters in the Iliad and the Odyssey

https://glthr.com/formulaic-delimiters-in-the-iliad-and-the-odyssey
19•glth•2d ago•7 comments

Fast CVVDP implementation in C

https://github.com/halidecx/fcvvdp
37•todsacerdoti•11h ago•8 comments

Line scan camera image processing

https://daniel.lawrence.lu/blog/2025-09-21-line-scan-camera-image-processing/
41•vasco•4d ago•2 comments

A bitwise reproducible deep learning framework

https://github.com/microsoft/RepDL
25•noosphr•1w ago•0 comments

Finding Jingle Town: Debugging an N64 Game Without Symbols

https://blog.chrislewis.au/finding-jingle-town-debugging-an-n64-game-without-symbols/
34•knackers•5d ago•3 comments

Why I Disappeared – My week with minimal internet in a remote island chain

https://www.kenklippenstein.com/p/why-i-disappeared
84•eh_why_not•13h ago•99 comments
Open in hackernews

JEP 515: Ahead-of-Time Method Profiling

https://openjdk.org/jeps/515
101•cempaka•7mo ago

Comments

nmstoker•7mo ago
Would be interesting if the Faster Python team considered this approach for Python (although maybe they already did?)
motoboi•7mo 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•7mo 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•7mo ago
I thought Graal was going to slowly replace HotSpot?
vips7L•7mo ago
There was talk of the graal jit replacing C2, but native image will never replace HotSpot.
mshockwave•7mo 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•7mo ago
Is this similar/the same as Azul Zing’s ReadyNow feature?
rst•7mo 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•7mo 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•7mo 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.