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Gemini 3.7 Flash

https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-3-7-fl...
702•thisisauserid•11h ago•388 comments

Accelerating GPT-5.6 Sol Ultrafast

https://www.cerebras.ai/blog/accelerating-gpt-5-6-sol-ultrafast-with-openai
496•pr337h4m•10h ago•205 comments

Bluesky Protocol Services

https://atproto.com/blog/introducing-bluesky-protocol-services
113•danabramov•4h ago•21 comments

Hello, me. It's been a while

https://themech.net/2026/08/hello-me-its-been-a-while/
83•somesoftdev•10h ago•38 comments

DeepSeek Harness developer preview

https://deepseek.com/harness/en/
597•bjin•15h ago•251 comments

Spaghettifying DRAM

https://github.com/xoreaxeaxeax/skitter-creek-bath-salts
539•matt_d•14h ago•146 comments

Mistral OCR 4.1

https://docs.mistral.ai/models/ocr-4-1
279•spelk•11h ago•111 comments

Choose Boring Technology (2015)

https://mcfunley.com/choose-boring-technology
292•tosh•11h ago•147 comments

Understanding is the new bottleneck

https://www.geoffreylitt.com/2026/07/02/understanding-is-the-new-bottleneck
251•sebg•10h ago•137 comments

NP-overrated

https://gruhn.me/blog/2026-08-13/
179•theanonymousone•8h ago•111 comments

Donkey.bas is 45 Years Old – 131 line of Glory

https://donkeybas.com/
205•jkrauska•11h ago•93 comments

The Legend of the Novell NE2000 [video]

https://www.youtube.com/watch?v=nNXzQ7V1S_k
23•voxadam•4d ago•6 comments

Blog about things you don't understand yet

https://www.seangoedecke.com/blog-about-things-you-dont-understand-yet/
51•gfysfm•5h ago•19 comments

Nine PBS sues Iron Mountain over blocked access to archival data

https://current.org/2026/08/nine-pbs-sues-iron-mountain-over-blocked-access-to-archival-data/
274•vinayakborkar•15h ago•157 comments

Finite State Machines in Forth (1994)

https://www.forth.org/literature/noble.html
62•ofalkaed•5d ago•2 comments

How Compaction Works in Pi

https://earendil.com/posts/compaction-in-pi/
129•tosh•10h ago•50 comments

Single log line is 49KB+ (ext4) / 110KB+ (btrfs) of systemd-journald disk writes

https://github.com/systemd/systemd/issues/40262
169•ValdikSS•10h ago•108 comments

How Organizations Use AI: Evidence from ChatGPT [pdf]

https://cdn.openai.com/pdf/how-organizations-use-chatgpt.pdf
87•malshe•9h ago•49 comments

Where did the old web go? We followed 657,607 links to find out

https://0.mk/blog/link-rot
146•tdx•11h ago•133 comments

How Gödel's Proof Works (2020)

https://www.quantamagazine.org/how-godels-proof-works-20200714/
88•tzury•9h ago•39 comments

An ambiguity in c89 which will never be fixed

https://sebsite.pw/w/20260810-c89ambiguity.html
46•runningmike•3d ago•13 comments

Ordinary Abundance

https://ordinaryabundance.com/
252•yen223•15h ago•132 comments

Cave of the Crystals

https://en.wikipedia.org/wiki/Cave_of_the_Crystals
10•ColinWright•5d ago•1 comments

How a device finds encrypted DNS by itself

https://blog.dundns.eu/posts/ddr-encrypted-dns-discovery/
22•majorchord•6d ago•4 comments

Launch HN: Bullet (YC S26) – A Faster Coding Agent

https://www.codewithbullet.com
91•adi1•20h ago•66 comments

Idol Mahjong Final Romance: A Slideshow Disguised as a Video Game

https://nicole.express/2026/more-like-idle-mahjong.html
48•nicole_express•4d ago•10 comments

AI At Home Part 1: A Box Of Scraps

https://jdagostino.github.io/ai-pt1-box-o-scraps/index.html
106•timmmmmmay•12h ago•48 comments

SparrowMap – Cameras that watch government vehicles

https://sparrowmap.com/
137•paulnpace•4h ago•35 comments

Kubernetes on Oxide: How customer needs shaped our integrations

https://oxide.computer/blog/kubernetes-on-oxide
165•stevehipwell•14h ago•75 comments

Choosing an AI model: one prompt, 11 models, different results

https://www.netlify.com/blog/one-prompt-11-models-very-different-results/
186•toddmorey•15h ago•77 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.