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Meta’s AI smart glasses and data privacy concerns

https://www.svd.se/a/K8nrV4/metas-ai-smart-glasses-and-data-privacy-concerns-workers-say-we-see-e...
902•sandbach•7h ago•516 comments

British Columbia is permanently adopting daylight time

https://www.cbc.ca/news/canada/british-columbia/b-c-adopting-year-round-daylight-time-9.7111657
673•ireflect•9h ago•336 comments

Ars Technica fires reporter after AI controversy involving fabricated quotes

https://futurism.com/artificial-intelligence/ars-technica-fires-reporter-ai-quotes
162•danso•5h ago•74 comments

Simple screw counter

https://mitxela.com/projects/screwcounter
63•jk_tech•2d ago•13 comments

Daily Driving GrapheneOS

https://blog.matthewbrunelle.com/8-4-months-of-daily-driving-grapheneos/
20•zdw•1h ago•1 comments

Show HN: I built a sub-500ms latency voice agent from scratch

https://www.ntik.me/posts/voice-agent
309•nicktikhonov•9h ago•92 comments

Intent-Based Commits

https://github.com/adamveld12/ghost
23•adamveld12•2h ago•13 comments

Moldova broke our data pipeline

https://www.avraam.dev/blog/moldova-broke-our-pipeline
22•almonerthis•2d ago•8 comments

Seed of Might Color Correction Process (2023) [pdf]

https://andrewvanner.github.io/som/SoM_CC_Process_Day.pdf
82•haunter•7h ago•20 comments

Guilty Displeasures

https://www.hopefulmons.com/p/what-are-your-guilty-displeasures
46•aregue•1d ago•53 comments

Buckle Up for Bumpier Skies

https://www.newyorker.com/magazine/2026/03/09/buckle-up-for-bumpier-skies
5•littlexsparkee•38m ago•0 comments

First in-utero stem cell therapy for fetal spina bifida repair is safe: study

https://health.ucdavis.edu/news/headlines/first-ever-in-utero-stem-cell-therapy-for-fetal-spina-b...
286•gmays•15h ago•51 comments

New iPad Air, powered by M4

https://www.apple.com/newsroom/2026/03/apple-introduces-the-new-ipad-air-powered-by-m4/
361•Garbage•16h ago•576 comments

Physicists developing a quantum computer that’s entirely open source

https://physics.aps.org/articles/v19/24
75•tzury•7h ago•18 comments

Launch HN: OctaPulse (YC W26) – Robotics and computer vision for fish farming

94•rohxnsxngh•13h ago•32 comments

The Excommunicated Devs Making Games with AI

https://www.tyleo.com/blog/the-excommunicated-devs-making-games-with-ai
27•tyleo•4h ago•7 comments

Motorola announces a partnership with GrapheneOS

https://motorolanews.com/motorola-three-new-b2b-solutions-at-mwc-2026/
2134•km•23h ago•772 comments

Show HN: Govbase – Follow a bill from source text to news bias to social posts

https://govbase.com
181•foxfoxx•13h ago•74 comments

Against Query Based Compilers

https://matklad.github.io/2026/02/25/against-query-based-compilers.html
51•surprisetalk•1d ago•28 comments

iPhone 17e

https://www.apple.com/newsroom/2026/03/apple-introduces-iphone-17e/
244•meetpateltech•16h ago•338 comments

The Cathode Ray Tube site

https://www.crtsite.com/didactic-crt.html
28•joebig•1d ago•2 comments

RCade: Building a Community Arcade Cabinet

https://www.frankchiarulli.com/blog/building-the-rcade/
68•evakhoury•4d ago•14 comments

The 185-Microsecond Type Hint

https://blog.sturdystatistics.com/posts/type_hint/
61•kianN•8h ago•7 comments

Inside the M4 Apple Neural Engine, Part 1: Reverse Engineering

https://maderix.substack.com/p/inside-the-m4-apple-neural-engine
310•zdw•1d ago•83 comments

Programmable Cryptography (2024)

https://0xparc.org/writings/programmable-cryptography-1
62•fi-le•2d ago•35 comments

Ask HN: Who is hiring? (March 2026)

192•whoishiring•14h ago•235 comments

Parallel coding agents with tmux and Markdown specs

https://schipper.ai/posts/parallel-coding-agents/
141•schipperai•16h ago•109 comments

Ask HN: Who wants to be hired? (March 2026)

88•whoishiring•14h ago•211 comments

Show HN: Visual Lambda Calculus – a thesis project (2008) revived for the web

https://github.com/bntre/visual-lambda
39•bntr•3d ago•5 comments

Welcome (back) to Macintosh

https://take.surf/2026/03/01/welcome-back-to-macintosh
292•Udo_Schmitz•9h ago•209 comments
Open in hackernews

JEP 515: Ahead-of-Time Method Profiling

https://openjdk.org/jeps/515
101•cempaka•9mo ago

Comments

nmstoker•9mo ago
Would be interesting if the Faster Python team considered this approach for Python (although maybe they already did?)
motoboi•9mo 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•9mo 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•9mo ago
I thought Graal was going to slowly replace HotSpot?
vips7L•9mo ago
There was talk of the graal jit replacing C2, but native image will never replace HotSpot.
mshockwave•9mo 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•9mo ago
Is this similar/the same as Azul Zing’s ReadyNow feature?
rst•9mo 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•9mo 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•9mo 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.