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Epstein files reveal deeper ties to scientists than previously known

https://www.nature.com/articles/d41586-026-00388-0
1•XzetaU8•2m ago•0 comments

Red teamers arrested conducting a penetration test

https://www.infosecinstitute.com/podcast/red-teamers-arrested-conducting-a-penetration-test/
1•begueradj•9m ago•0 comments

Show HN: Open-source AI powered Kubernetes IDE

https://github.com/agentkube/agentkube
1•saiyampathak•13m ago•0 comments

Show HN: Lucid – Use LLM hallucination to generate verified software specs

https://github.com/gtsbahamas/hallucination-reversing-system
1•tywells•15m ago•0 comments

AI Doesn't Write Every Framework Equally Well

https://x.com/SevenviewSteve/article/2019601506429730976
1•Osiris30•18m ago•0 comments

Aisbf – an intelligent routing proxy for OpenAI compatible clients

https://pypi.org/project/aisbf/
1•nextime•19m ago•1 comments

Let's handle 1M requests per second

https://www.youtube.com/watch?v=W4EwfEU8CGA
1•4pkjai•19m ago•0 comments

OpenClaw Partners with VirusTotal for Skill Security

https://openclaw.ai/blog/virustotal-partnership
1•zhizhenchi•20m ago•0 comments

Goal: Ship 1M Lines of Code Daily

2•feastingonslop•30m ago•0 comments

Show HN: Codex-mem, 90% fewer tokens for Codex

https://github.com/StartripAI/codex-mem
1•alfredray•33m ago•0 comments

FastLangML: FastLangML:Context‑aware lang detector for short conversational text

https://github.com/pnrajan/fastlangml
1•sachuin23•36m ago•1 comments

LineageOS 23.2

https://lineageos.org/Changelog-31/
1•pentagrama•39m ago•0 comments

Crypto Deposit Frauds

2•wwdesouza•40m ago•0 comments

Substack makes money from hosting Nazi newsletters

https://www.theguardian.com/media/2026/feb/07/revealed-how-substack-makes-money-from-hosting-nazi...
2•lostlogin•41m ago•0 comments

Framing an LLM as a safety researcher changes its language, not its judgement

https://lab.fukami.eu/LLMAAJ
1•dogacel•43m ago•0 comments

Are there anyone interested about a creator economy startup

1•Nejana•44m ago•0 comments

Show HN: Skill Lab – CLI tool for testing and quality scoring agent skills

https://github.com/8ddieHu0314/Skill-Lab
1•qu4rk5314•45m ago•0 comments

2003: What is Google's Ultimate Goal? [video]

https://www.youtube.com/watch?v=xqdi1xjtys4
1•1659447091•45m ago•0 comments

Roger Ebert Reviews "The Shawshank Redemption"

https://www.rogerebert.com/reviews/great-movie-the-shawshank-redemption-1994
1•monero-xmr•47m ago•0 comments

Busy Months in KDE Linux

https://pointieststick.com/2026/02/06/busy-months-in-kde-linux/
1•todsacerdoti•47m ago•0 comments

Zram as Swap

https://wiki.archlinux.org/title/Zram#Usage_as_swap
1•seansh•1h ago•1 comments

Green’s Dictionary of Slang - Five hundred years of the vulgar tongue

https://greensdictofslang.com/
1•mxfh•1h ago•0 comments

Nvidia CEO Says AI Capital Spending Is Appropriate, Sustainable

https://www.bloomberg.com/news/articles/2026-02-06/nvidia-ceo-says-ai-capital-spending-is-appropr...
1•virgildotcodes•1h ago•2 comments

Show HN: StyloShare – privacy-first anonymous file sharing with zero sign-up

https://www.styloshare.com
1•stylofront•1h ago•0 comments

Part 1 the Persistent Vault Issue: Your Encryption Strategy Has a Shelf Life

1•PhantomKey•1h ago•0 comments

Show HN: Teleop_xr – Modular WebXR solution for bimanual robot teleoperation

https://github.com/qrafty-ai/teleop_xr
1•playercc7•1h ago•1 comments

The Highest Exam: How the Gaokao Shapes China

https://www.lrb.co.uk/the-paper/v48/n02/iza-ding/studying-is-harmful
2•mitchbob•1h ago•1 comments

Open-source framework for tracking prediction accuracy

https://github.com/Creneinc/signal-tracker
1•creneinc•1h ago•0 comments

India's Sarvan AI LLM launches Indic-language focused models

https://x.com/SarvamAI
2•Osiris30•1h ago•0 comments

Show HN: CryptoClaw – open-source AI agent with built-in wallet and DeFi skills

https://github.com/TermiX-official/cryptoclaw
1•cryptoclaw•1h ago•0 comments
Open in hackernews

Old Is Gold: Optimizing Single-Threaded Applications with Exgen-Malloc

https://arxiv.org/abs/2510.10219
16•todsacerdoti•3mo ago

Comments

fanf2•3mo ago
At a quick skim this looks like they reinvented something very similar to phkmalloc, but they didn’t cite phkmalloc nor include it in their benchmarks.

https://phk.freebsd.dk/sagas/phkmalloc/

https://cgit.freebsd.org/src/tree/lib/libc/stdlib/malloc.c?h...

jauntywundrkind•3mo ago
It feels like there's so many weird interesting wins from abandoning SMP CPU coherency. Giving each core its own memory space & own work skips by so many gotchas & contentions.

This is nicely moving down the stack from some other nearby work. ByteDance just released code for Parker, a Linux multi-kernel approach where each core gets its own copy of Linux (and there's one coordinator core). There's another more general multi-kernel on one system approach that also has been quite active recently, that's more general (not strictly 1:1 cores kernel). https://www.phoronix.com/news/Linux-Parker-Proposal https://www.phoronix.com/news/Multi-Kernel-Linux-v2

(Obviously we can and do do lots of single thread per core work already: these emerging multi-kernel ideas are trying to push new territory, new isolation, eliminate yet more contention.)

bcrl•3mo ago
Parker is what Larry McVoy advocated for Linux back during the early days of multiprocessor scaling work. The idea was basically to treat an MP system as a cluster. Everything old is new again!

Personally, I would never agree to give up SMP CPU coherency. Multiprocessor systems are hard enough to debug with hardware cache coherency that adding in entirely new unpredictable non-deterministic behaviour would lead to more developers losing the rest of their hair prematurely. And it would likely introduce an entirely new class of security issues that nobody ever imagined that would require even worse performance draining software workarounds.

Some things are best done in hardware.

vacuity•3mo ago
See also Barrelfish for a multikernel research implementation. I think fos also qualifies.

> Personally, I would never agree to give up SMP CPU coherency. Multiprocessor systems are hard enough to debug with hardware cache coherency that adding in entirely new unpredictable non-deterministic behaviour would lead to more developers losing the rest of their hair prematurely. And it would likely introduce an entirely new class of security issues that nobody ever imagined that would require even worse performance draining software workarounds.

What are you envisioning is the alternative hardware (or is it software?), and why? I assume this is referring to some mechanism for multikernel support that doesn't rely on cache coherence. It seems like there are probably alternatives to full cache coherence that would be neutral, or better, after experience. You didn't provide substantive evidence, but on the other hand, at least multikernels on unmodified hardware seem promising.

gregw2•3mo ago
Larry (SGI) had lived through IRIX fine grained locking and even SGI's NUMA hardware cache coherency based on Stanford research right? Was his take that the complexity wasn't worth it given his experiences at SGI, or that it was just too much for an open source community to tackle without owning the hardware layers?

(And did Maddog (DEC) with a different set of experiences agree?)

vacuity•3mo ago
The trend of multicore and NUMA means that hardware increasingly looks like a traditional network of many separate computers. The natural conclusions of single-core scaled up to, say, 4 cores, shift when there are 8+ cores. Locality becomes crucial; just as you wouldn't split up data-path dependencies across LANs, you shouldn't split them up across NUMA sockets either. Ignoring arguments about locking, message passing, cache management, and whatever, the most pressing argument for multikernels (or at least, far increased per-core state and reduced shared state) is that locality is essential for performance.
layla5alive•3mo ago
Yup, data movement and contention and coherencey are the things that will increasingly dominate power use as core scaling continues. Exploiting locality is a must for high performance systems.

Linux would benefit from a scheduler per CCD (in AMD parlance) approach being a first-class option. CCD pinning is a mechanism to push in this direction today, but partitioning kernel scheduler(s) along hardware boundaries would reduce complexity and overhead for a lot of use cases..