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Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•4m ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•5m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•9m ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•21m ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•23m ago•0 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•23m ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•36m ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•39m ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•42m ago•0 comments

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•50m ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•51m ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•53m ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•53m ago•0 comments

Sony BMG copy protection rootkit scandal

https://en.wikipedia.org/wiki/Sony_BMG_copy_protection_rootkit_scandal
1•basilikum•56m ago•0 comments

The Future of Systems

https://novlabs.ai/mission/
2•tekbog•56m ago•1 comments

NASA now allowing astronauts to bring their smartphones on space missions

https://twitter.com/NASAAdmin/status/2019259382962307393
2•gbugniot•1h ago•0 comments

Claude Code Is the Inflection Point

https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point
3•throwaw12•1h ago•1 comments

Show HN: MicroClaw – Agentic AI Assistant for Telegram, Built in Rust

https://github.com/microclaw/microclaw
1•everettjf•1h ago•2 comments

Show HN: Omni-BLAS – 4x faster matrix multiplication via Monte Carlo sampling

https://github.com/AleatorAI/OMNI-BLAS
1•LowSpecEng•1h ago•1 comments

The AI-Ready Software Developer: Conclusion – Same Game, Different Dice

https://codemanship.wordpress.com/2026/01/05/the-ai-ready-software-developer-conclusion-same-game...
1•lifeisstillgood•1h ago•0 comments

AI Agent Automates Google Stock Analysis from Financial Reports

https://pardusai.org/view/54c6646b9e273bbe103b76256a91a7f30da624062a8a6eeb16febfe403efd078
1•JasonHEIN•1h ago•0 comments

Voxtral Realtime 4B Pure C Implementation

https://github.com/antirez/voxtral.c
2•andreabat•1h ago•1 comments

I Was Trapped in Chinese Mafia Crypto Slavery [video]

https://www.youtube.com/watch?v=zOcNaWmmn0A
2•mgh2•1h ago•1 comments

U.S. CBP Reported Employee Arrests (FY2020 – FYTD)

https://www.cbp.gov/newsroom/stats/reported-employee-arrests
1•ludicrousdispla•1h ago•0 comments

Show HN: I built a free UCP checker – see if AI agents can find your store

https://ucphub.ai/ucp-store-check/
2•vladeta•1h ago•1 comments

Show HN: SVGV – A Real-Time Vector Video Format for Budget Hardware

https://github.com/thealidev/VectorVision-SVGV
1•thealidev•1h ago•0 comments

Study of 150 developers shows AI generated code no harder to maintain long term

https://www.youtube.com/watch?v=b9EbCb5A408
2•lifeisstillgood•1h ago•0 comments

Spotify now requires premium accounts for developer mode API access

https://www.neowin.net/news/spotify-now-requires-premium-accounts-for-developer-mode-api-access/
2•bundie•1h ago•0 comments

When Albert Einstein Moved to Princeton

https://twitter.com/Math_files/status/2020017485815456224
1•keepamovin•1h ago•0 comments

Agents.md as a Dark Signal

https://joshmock.com/post/2026-agents-md-as-a-dark-signal/
2•birdculture•1h ago•1 comments
Open in hackernews

Blazing Matrix Products

https://panadestein.github.io/blog/posts/mp.html
54•Bogdanp•7mo ago

Comments

imurray•7mo ago
This post is for those interested high-performance matrix multiplication in BQN (an APL-like array language).

The main thing I got out of it was the footnotes, in particular: https://en.algorithmica.org/hpc/algorithms/matmul/ is a really nice post on fast matrix multiplication, and is a chapter of what looks like a nice online book.

addaon•7mo ago
Sorry for the low value post, but worth it to draw attention to those who might overlook it -- that algorithmica page is really, really good. Learned something.
bee_rider•7mo ago
Does BQN just natively vectorize the code? I was surprised not to see anything about that.
icen•7mo ago
Yes; the CBQN interpreter has a number of specialised vectorised codepaths. It picks a good one for the arrays at runtime.
mlochbaum•7mo ago
The relevant operations for matrix multiply are leading-axis extension, shown near the end of [0], and Insert +˝ shown in [1]. Both for floats; the leading-axis operation is × but it's the same speed as + with floating-point SIMD. We don't handle these all that well, with needless copying in × and a lot of per-row overhead in +˝, but of course it's way better than scalar evaluation.

[0] https://mlochbaum.github.io/bencharray/pages/arith.html

[1] https://mlochbaum.github.io/bencharray/pages/fold.html

mlochbaum•7mo ago
And the reason +˝ is fairly fast for long rows, despite that page claiming no optimizations, is that ˝ is defined to split its argument into cells, e.g. rows of a matrix, and apply + with those as arguments. So + is able to apply its ordinary vectorization, while it can't in some other situations where it's applied element-wise. This still doesn't make great use of cache and I do have some special code working for floats that does much better with a tiling pattern, but I wanted to improve +˝ for integers along with it and haven't finished those (widening on overflow is complicated).
dzaima•7mo ago
More generally than the other replies, BQN is an array language, and as such "a+b" & "a×b" etc automatically map over arrays, and the interpreter can thus trivially vectorize them (and, if you're curious, yes, in a naive interpreter (which CBQN currently is) this does mean intermediate arrays go through memory, which is probably a significant part of the difference in speed).