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Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•1m ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•3m ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
2•myk-e•6m ago•3 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•7m ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
1•1vuio0pswjnm7•9m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
1•1vuio0pswjnm7•10m ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•12m ago•1 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•15m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•20m ago•0 comments

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

https://api-production-caa8.up.railway.app/docs
1•lembergs•22m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•25m ago•1 comments

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

https://github.com/joelparkerhenderson/queueing-theory
1•jph•37m ago•0 comments

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

https://hibanaworks.dev/
5•o8vm•39m ago•0 comments

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

https://www.haniri.com
1•donangrey•40m 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•53m ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•56m ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•58m ago•0 comments

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

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

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

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

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

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

Sony BMG copy protection rootkit scandal

https://en.wikipedia.org/wiki/Sony_BMG_copy_protection_rootkit_scandal
2•basilikum•1h ago•0 comments

The Future of Systems

https://novlabs.ai/mission/
2•tekbog•1h 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
4•throwaw12•1h ago•2 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
Open in hackernews

Mystery: Why do some LLMs produce more coil noise on Mac Studio M3 Ultra?

https://twitter.com/OrganicGPT/status/2010879700785373437
9•behnamoh•3w ago

Comments

jsheard•3w ago
In video games this tends to be a function of framerate, with higher FPS being more likely to produce coil whine as the GPU power draw oscillates at a higher frequency. I assume there's something analogous in LLM runtimes when the outer loop spins faster or slower.
behnamoh•3w ago
in this case, the smaller glm mxfp4 model actually runs slower than the much larger m2.1 model.
monster_truck•3w ago
that tracks, it's not staying loaded and is buzzsawing back and forth between power states. They'll likely fix it with some power management tweaks. Had a pair of modded Vega 64s that sounded like a tiny CNC mill when they did this, but that's what ~900W will do if you let it.

I haven't used a mac in a while but there's probably some values you can fuck with if you disable sip to stop it from ramping back down so aggressively, or keep it in the higher power states.

QuadmasterXLII•3w ago
Back in the early days of deep learning I did a fair amount of my performance debugging by listening to the coil whine during training, (this was when a GTX 1080 was hot stuff.) Fun to see this come back!
grepfru_it•3w ago
My amd ryzen 9 9800x3d with ASUS b850 motherboard whines like a mofo. I used to run ai tooling front ends that launched workloads into the ryzen9 backend. Randomly I would hear it whining and could guess the workload based on the whine.

Reminds me of my Intel 486dx2 66mhx systems or pentium 200mhz cpus which would generate cool whine on 97.1 through 100.3 on my radio in my room.

Ahh nostalgia

gavmor•3w ago
I just gotta say, the coil noise on my open-case 3090 has been a fascinating and joyful complement to my generative experiments.

Alongside `nvtop`, coil noise has given me a visceral sense of the texture for different workloads. Sorry I haven't done a more rigorous analysis, but I'm certain it helps me debug.