frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Saving 100 terabytes of memory by optimizing 1.1.1.1's DNS cache

https://blog.cloudflare.com/dns-cache-memory-optimization-1111/
508•TangerineDream•8h ago•139 comments

Small Models Have Arrived

https://calv.info/small-models-have-arrived
457•tosh•9h ago•205 comments

507 Mechanical Movements

https://507movements.com/
464•helloplanets•11h ago•67 comments

Show HN: OpenTIE and OpenXWA, Modern Ports of Tie Fighter and X-Wing Alliance

https://github.com/elyosh/OpenTIE/
59•elyosh•3h ago•15 comments

Terminal-Bench-Science: Evaluating AI agents on scientific research workflows

https://www.terminal-bench-science.ai/announcement
20•matt_d•1h ago•4 comments

Show HN: We built open OpenRouter that turns usage into a better model

https://github.com/experientiallabs/experiential
102•SilenN•4h ago•15 comments

Gemini-3.5-Transcribe

https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5-transcribe/
141•k9294•7h ago•34 comments

AI Engineer Notebooks – free, framework-free RAG/agents/evals on Colab

https://github.com/calmrocks/ai-engineer-notebooks
42•calmrocks•3h ago•2 comments

Microduck

https://pollen-robotics.com/microduck/
506•robotswantdata•14h ago•183 comments

Select * from Internet.blogposts

https://pfrazee.leaflet.pub/3mu3p2smmis22
40•mmattbtw•3h ago•10 comments

We found a division by zero bug in FFmpeg with a vibecoded fuzzer

https://code.ffmpeg.org/FFmpeg/FFmpeg/issues/24290
176•dclavijo•7h ago•136 comments

The turbulent AI era is here

https://www.gatesnotes.com/work/make-ai-work-for-everyone/reader/a-turbulent-ai-era-and-critical-...
215•nanna•1d ago•461 comments

M5Stack Launches PaperMono

https://shop.m5stack.com/blogs/news/m5stack-launches-papermono-a-compact-e-ink-development-termin...
91•marksully•7h ago•38 comments

Show HN: The load-bearing vocabulary of Claude

https://louisabraham.github.io/load-bearing/
344•Labo333•16h ago•169 comments

Previewing the Model Hardware Standard

https://www.anthropic.com/news/model-hardware-standard-research-preview
77•surprisetalk•7h ago•28 comments

Afterglow: Run classic After Dark screen savers on modern macOS

https://morphing.cloud/afterglow/
88•NaOH•1d ago•35 comments

Emacs 31: An unofficial guide to Markdown-ts-mode

https://rahuljuliato.com/posts/markdown-ts-mode-emacs-31
151•RahulMJ•12h ago•64 comments

Suica, Japan's First IC Transit Card

https://www.tokyodev.com/articles/the-story-of-suica
191•zdw•9h ago•157 comments

Decompiling a Nintendo 64 game in 84 days

https://blog.chrislewis.au/decompiling-a-nintendo-64-game-in-84-days/
177•knackers•10h ago•119 comments

Nvidia agrees to acquire Hugging Face for $13B

https://www.businessinsider.com/nvidia-in-talks-to-buy-hugging-face-13-billion-dollars-2026-8
1829•mfiguiere•1d ago•855 comments

Bild AI (YC W25) is hiring product and AI engineers

https://www.bild.ai/jobs
1•rooppal•8h ago

Engineered yeast for converting plastic and biomass compounds to food additives

https://acs.digitellinc.com/live/37/session/586399
82•ehwa37•9h ago•58 comments

Launch HN: Salem Robotics (YC S26) – Software for industrial inspection robots

40•Salem_robotics•9h ago•25 comments

Show HN: Voronoi Go

https://voronoigo.com/
83•igpay•7h ago•11 comments

MIT's Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training

https://aiandeducation.mit.edu/report/
113•pbui•12h ago•72 comments

Gemini Omni 1.1 Flash

https://blog.google/innovation-and-ai/technology/developers-tools/build-with-gemini-omni-1-1-flash/
185•saretup•8h ago•139 comments

The mechanics of the Nepali flash flood

https://www.economist.com/science-and-technology/2026/08/27/the-terrifying-mechanics-of-the-nepal...
80•vinni2•10h ago•36 comments

Aphantasia Beginner's Guide

https://aphantasia.com/guide
133•ksec•12h ago•304 comments

Humanity has the debate about AI consciousness backwards

https://economist.com/by-invitation/2026/08/20/humanity-has-the-debate-about-ai-consciousness-bac...
87•semiquaver•23h ago•266 comments

Launching Route 53 Files

https://www.daemonology.net/blog/2026-08-27-Launching-Route-53-Files.html
102•louis-paul•10h ago•37 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.