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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•4m 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•11m ago•0 comments

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

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•13m ago•1 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•16m 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•26m 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•59m 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

OpenSERDES – Open Hardware Serializer/Deserializer (SerDes) in Verilog (2020)

https://github.com/SparcLab/OpenSERDES
87•peter_d_sherman•7mo ago

Comments

peter_d_sherman•7mo ago
Related (book):

"High-Speed Serial I/O Made Simple: A Designers’ Guide, with FPGA Applications" (2005):

https://www.xilinx.com/publications/archives/books/serialio....

checker659•7mo ago
Thank you. Any other recommendations?
addaon•7mo ago
Note that this book is about using the hard SerDes IPs included in Xilinx FPGAs, while the top source link is about designing your own SerDes.
nsteel•7mo ago
Looks to be plenty of general high-level serdes ideas and theory in that xilinx pdf. But it is 20 years old (in addition to FPGA being some years behind state of the art).
jauntywundrkind•7mo ago
Really awesome to see. Any kind of PHY type thing is awesome to see.

It's an under-told tale that open CPU's are "easy" to make, but if you actually want to actually run that chip it's everything else that makes it inordinately hard.

Probably like 99.9% of devices with USB hosts all use the same 4-5 different design families of host controllers. A huge number of sound chips are Cadence/Tensilica's HiFi 4/5 chip. Dram controllers, PCIe blocks... There's so many modular blocks used in making chips, where a pre-qualified design that already has been validated on a variety of fabs is just how everyone does it.

This is a 5 year old, barely updated project. There's no clear data on what was achieved that I can see here. But just getting a start doing chip design that interfaces with the world beyond the chip is a huge huge step forward. Building, characterizing what we get, tweaking & trying over again is what it's gonna take to make open source chips emerge & be able to stand on their own.

Aromasin•7mo ago
I work in the FPGA industry, and it's a running joke that the best device manufacturer at any one time if the one with the best SERDES and PHY team.

You can have the best fabric in the world with all of the best IP, but if you can't get information on the device and off again to do anything useful, then what's the point (looking at you Intel F-Tile).

gizajob•7mo ago
See: Blackmagic Design for phenomenal investment in SERDES brains and how it shows in their world-beating products.
gchadwick•7mo ago
I wonder if they ever taped this out and did some device characterization?

The devil really is in the details with things like this. 1 in 10 million events which may be hard to trigger in a detailed analogue simulation can occur many times per second when you run it in silicon and make it effectively useless.

Still very cool to have enough open source tooling and a PDK so this can even be attempted as a piece of open source design work!

cushychicken•7mo ago
This was my first thought too.

RTL is all well and good. How does it perform in silicon?