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OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•1m 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•3m ago•1 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•4m 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•6m 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•8m ago•0 comments

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

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•10m ago•1 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•12m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•17m ago•0 comments

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

https://api-production-caa8.up.railway.app/docs
1•lembergs•19m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•22m ago•1 comments

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

https://github.com/joelparkerhenderson/queueing-theory
1•jph•34m ago•0 comments

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

https://hibanaworks.dev/
5•o8vm•36m ago•0 comments

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

https://www.haniri.com
1•donangrey•37m 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•50m ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•53m ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•55m 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

I Was Trapped in Chinese Mafia Crypto Slavery [video]

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

Accidentally Turing-Complete

https://beza1e1.tuxen.de/articles/accidentally_turing_complete.html
25•bschne•9mo ago

Comments

panstromek•9mo ago
Nice list. Some of those are arguably not accidental, TypeScript type system seems kinda obvious to be turing complete when it tries to describe dynamically typed langauage.
WalterGR•9mo ago
x86 MOV instruction: “The mov-only DOOM [game] renders approximately one frame every 7 hours, so playing this version requires somewhat increased patience.”
a_cardboard_box•9mo ago
Rule 110 is only Turing-Complete if you have an infinitely large array of cells, and are able to initialize it with an infinite repeating pattern. If I'm not mistaken, HTML+CSS can only do a fixed-sized array.

With a Turing-Complete language, if a program runs out of memory on one machine, you can run the same code on a bigger machine without modifying it, and it can use the additional memory. With fixed-length rule 110, you need to modify the code if you want to use more memory.

256_•9mo ago
This is addressed in the second paragraph of TFA:

"Stuff which is somehow limited (stack overflows, arbitrary configuration, etc) is still considered Turing complete, since all "physical" Turing machines are resource limited."

In my opinion, worrying about infinite memory, in regards to Turing completeness, makes the task of implementing computation much less interesting.

Also, I'm pretty sure CSS only does one generation (or a finite number of them) before stopping anyway.

256_•9mo ago
Logic in Doom is particularly interesting to me. Apparently you can fit ~64k logic gates in a map (using the method described). From [1]:

"As the DOOM engine was not designed to be an interpreter, there are some constraints on our programs written against it. The biggest one is how large our programs can be. Since each gate uses at least one tag, we can use this as a metric to derive an upper-bound on the size of a program. As the DOOM engine uses 16-bit tags, this means we can have, at most, 65535 gates. This is not a particularly large number. We may be able to implement a very small CPU but this limit will be hit pretty quickly I believe."

The z80 had ~8,500 transistors. The 8086 had ~29,000 (checking Wikipedia). You could get far fewer if you use a 1-bit microarchitecture, I'm sure. I think there was a DEC (PDP?) computer that used that trick to have a really low transistor count, but I don't remember what it was called.

The real problem is RAM; for this you may as well cheat and modify Doom's code to add a RAM chip, and I/O while you're at it.

You could create a CPU in Doom implementing an architecture for which a C compiler exists, capable of compiling Doom, and run it in the CPU in Doom. For "reasonable" speed you'd have to do more than one simulation step per frame render (in the host Doom). If you ran it for long enough maybe you could get a full frame of Doom in Doom.

[1]: https://calabi-yau.space/blog/doom.html

karmakaze•9mo ago
Doom running in TypeScript static type checker[0].

> half trillion lines of types totaling 177 terabytes ran through the type checker around the clock for 12 days to get the first frame

[0] https://news.ycombinator.com/item?id=43184291

karmakaze•9mo ago
My favorite one is Conway's Game of Life. It's perhaps the least surprising one, but it's also the most visually appealing. Really like this video that leads up to making the Game of Life in itself[0]. It's something you can show a non-technical person and they can get a sense of how crazy it is that something so simple can do anything.

[0] https://www.youtube.com/watch?v=Kk2MH9O4pXY