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Why is this fingerprinting script creating bioweapons?

https://nullpt.rs/fingerprinting-bioweapons
709•hazebooth•6h ago•156 comments

CNC Stone Carving

https://carmelitegothic.com/cnc-stone-carving/
382•bschne•9h ago•112 comments

Gemini 4 Carbon

https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-carbon/
757•acossta•6h ago•621 comments

Why Birds Can Fly over Mount Everest

https://lede-v2.nautil.us/why-birds-can-fly-over-mount-everest-237864
33•andsoitis•4d ago•5 comments

The case of the 9 bit AES key

https://v12.sh/blog/the-case-of-the-9bit-aes-key
59•ledoge•2h ago•31 comments

A Health Update

https://furbo.org/2026/10/28/a-health-update/
29•frizlab•2h ago•3 comments

MacBook Pro with PROLED XDR Display and Touch

https://www.apple.com/macbook-pro/proled-xdr-display/
474•etothet•6h ago•815 comments

Dayjob: Tax – evaluating AI agents on 50 professional tax assignments

https://surgehq.ai/blog/dayjob-tax
186•landonxi•8h ago•108 comments

Formlabs Studio 1 $699 Resin Printer

https://formlabs.com/products/form-studio-1-basic-founders-edition/
83•mhb•2h ago•68 comments

The Grid, a factory-scale robot in Massachusetts that builds PCBs on demand

https://www.circuithub.com/post/unveiling-the-grid
394•seddona•2d ago•191 comments

Start Doing Graph Theory

https://vertex.degree/
562•ibobev•5d ago•123 comments

Nango (YC W23) Is Hiring Across Eng, FDE, Marketing, DevRel

https://nango.dev/careers
1•bastienbeurier•2h ago

AlpineBSD

https://wiki.alpinebsd.org
168•bradley_taunt•9h ago•147 comments

Spiders Spin 'Silk Dope' into Nature's Toughest Material

https://www.quantamagazine.org/how-spiders-spin-silk-dope-into-natures-toughest-material-20261028/
43•ibobev•6h ago•3 comments

Apple's git still trusts the compromised eMudhra certificates

https://emudhra.we-have-a-problem.com/apple.html
1018•galadran•12h ago•375 comments

Gaussian Splats part 3: There's always a bigger scene

https://www.magnopus.com/blog/gaussiansplats-part-3-theres-always-a-bigger-scene
98•ibobev•5d ago•20 comments

The Agent SDK

https://cursor.com/blog/agent-sdk
89•torutofu•9h ago•107 comments

Show HN: SlideBySide – Present slides without sharing your screen

https://slidebyside.com/
53•denismenace•6h ago•21 comments

Leak website releases data on DHS employees

https://www.reuters.com/legal/government/leak-website-releases-data-tens-thousands-dhs-employees-...
44•wondersky•3h ago•2 comments

Emacs Turns 50

https://www.technologyreview.com/2026/10/20/1145399/emacs-turns-50/
391•internet_points•10h ago•165 comments

Oseberg Tapestry Fragments

https://en.wikipedia.org/wiki/Oseberg_tapestry_fragments
15•benbreen•2d ago•0 comments

Regent's Ground-Effect Vehicle Reimagines Coastal Travel

https://spectrum.ieee.org/ground-effect-vehicle
44•rbanffy•3d ago•39 comments

Kentucky man becomes the first humanist granted religious exemption from AI

https://religionnews.com/2026/10/26/in-a-first-a-humanist-granted-a-religious-exemption-from-usin...
409•danso•10h ago•452 comments

Archive.today links going forward

https://www.reddit.com/r/Seattle/comments/1xhf6qp/archivetoday_links_going_forward/
178•consumer451•8h ago•114 comments

Scaling Hierarchical Networks

https://www.cartesia.ai/blog/from-tokens-to-bytes-part-1
18•guybedo•5h ago•0 comments

Nvidia Nemotron 3.5 Transcribe: open ASR for 40 languages

https://huggingface.co/blog/nvidia/nemotron-transcribe-granary
104•wondersky•8h ago•17 comments

Ghostty 1.4

https://ghostty.org/docs/install/release-notes/1-4-0
1289•deaux•1d ago•409 comments

Executable Archaeology: Reanimating the Heuristic Compiler (1961) and KBEmacs (1984)

https://arxiv.org/abs/2610.36341
16•abrax3141•21h ago•0 comments

Genie 4

https://deepmind.google/blog/genie-4-a-new-generation-of-world-simulation/
1018•acossta•1d ago•576 comments

US agency approves Amazon Leo’s $11.5B acquisition of Globalstar

https://www.reuters.com/business/media-telecom/us-agency-approves-amazon-leos-115-billion-acquisi...
222•noptd•11h ago•100 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.