China moves #AI brain implants from trials towards real-world use
by Xiaoying You @Nature Learn more: https://
bit.ly/4uYVWCa #ArtificialIntelligence #MachineLearning #ML #Technology #Neurotechnology
HARDWARE
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China advances AI brain implants from trials to real-world use
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NVIDIA’s SANA-WM: Open-Source World Model for Controllable Video on Gaming PCs
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NVIDIA JUST DROPPED AN OPEN-SOURCE WORLD MODEL THAT RUNS ON YOUR GAMING PC 🤯
— Charly Wargnier (@DataChaz) 23 mai 2026
Instead of melting your GPU, @NVIDIAAI’s new 2.6B-parameter model, SANA-WM, brings 60 seconds of controllable video straight to your laptop.
> Just feed it an image
> a prompt
> a camera path
.. and… pic.twitter.com/zR1eva7YPpNVIDIA JUST DROPPED AN OPEN-SOURCE WORLD MODEL THAT RUNS ON YOUR GAMING PC Instead of melting your GPU, @NVIDIAAI
’s new 2.6B-parameter model, SANA-WM, brings 60 seconds of controllable video straight to your laptop. > Just feed it an image
> a prompt
> a camera path .. and -
Sarcastic commentary on short prompt and costly hardware
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I mean, dude's longest prompt was 368 tokens and longest output was 4k He's literally crying next to that hardware and hoping to get enough engagement that elonbux can pay for his next month installment on those desk warmers
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Expensive MacBooks run MiniMax with low performance and limited context
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Good example of Performative Inference / Local AI grifting MiniMax-M2.7 on 4x M5 Max MacBooks (~$22,000 USD) – Longest prompt: 338 (???) – Max context: ~3k (???) – 45 tok/s (lol) – Single prompt, no parallel requests Some of the funniest & stupidest shit I've ever seen
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Qwen 3.5 27B: Buy RTX 3090s or Stay Underclass
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If you saw Qwen 3.5 27B and didn’t see that as a chance to ensure the permanent underclass semi-joke never happens to you (by simply purchasing a couple of RTX 3090s) I am sorry to say but you ngmi
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Subsidized token industry ending, users still ignore local models
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How it feels to know that the subsidized token industry is coming to an end and people are still not worrying about the right thing (running the models locally on your own compute) No more free DoorDash deliveries / $5 Uber trips for you (after they got you addicted)
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New book: AI Systems Performance Engineering with GPUs, CUDA, PyTorch
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HOT! Over 1000 pages! "AI Systems Performance Engineering — Optimizing Model Training and Inference Workloads with GPUs, CUDA, and PyTorch" Get it at http://
amzn.to/4pRunYJ via @OReillyMedia -

Supercomputing for AI: foundations, architectures, scaling deep learning
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Supercomputing for AI — Foundations, Architectures, and Scaling Deep Learning. [804-page masterpiece] Get it: https://
amzn.to/4qS4pFz Git it: https://
github.com/jorditorresBCN
/supercomputing-for-ai
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Local AI Hardware Infrastructure for Builders
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I'm excited about the new @amd Ryzen AI Halo because we need more local hardware for AI builders!
— clem 🤗 (@ClementDelangue) 21 mai 2026
There's something fun and exciting about building on your own machines rather than sending to the cloud! Should we do our own @huggingface hardware for AI builders at some point? pic.twitter.com/aS2N2BDMHmI'm excited about the new @amd Ryzen AI Halo because we need more local hardware for AI builders! There's something fun and exciting about building on your own machines rather than sending to the cloud! Should we do our own @huggingface hardware for AI builders at some point?
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Codex Cli Makes Local AI Effortless: Hardware, Model & Performance Optimization
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Local AI Is Now Easy With This Give Codex Cli the article below & tell it: – Infer the right Inference Engine from your hardware + article below
– Use uv+venv
– Pick the right kernels
– Tune flags, batching, KVCache, etc
– Optimize for your hardware & chosen model See? SO EASY