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We're shipping an elaborate guide on how to profile diffusion pipelines in Diffusers to set them up for success with `torch.compile` 🔥 We devised a workflow with Claude & it turned out to be quite effective. It served its purpose well. With the help of the trace alone, we uncovered: 1. CPU <-> GPU syncs 2. CPU overheads 3. Kernel launch delays When we provided the profile trace and our observations from the trace to Claude, and helped us get rid of the issues, it did well. However, it did so iteratively. The process was intellectually fun and engaging!
Joan Rodriguez shares the importance of GTM strategy when building your startup. https://t.co/a2Woy2xZQI
We’re excited to announce the 2026 PyTorch Docathon! May 5-19, refine technical documentation, test tutorials in CI environments, and help accelerate the transition from research to production. Docathon begins with a live kick-off and Q&A on May 5 at 10 AM PT. Submissions and feedback run May 6–15, followed by final reviews May 16–18. Winner announcements will be shared on May 20. Whether you are a seasoned expert or a newcomer familiar with Python, you can contribute to core modules, tutorials, or website issues. Maintainers will be available on the PyTorch Discord to help with tasks labeled by skill level. 🔗 RSVP now: https://t.co/l4h679JjHD #PyTorch #OpenSource #MachineLearning #DeveloperDocs #AI
Brex’s CEO, @pedroh96, is “running” a $5B company through OpenClaw. You can’t make this up. https://t.co/1HGalub36T
Brex’s CEO, @pedroh96, is “running” a $5B company through OpenClaw. You can’t make this up. https://t.co/1HGalub36T
AI agents aren't just for developers anymore. 🤖 I built a desktop app on top of @NousResearch Hermes Agent that lets ANYONE install & configure an AI agent in minutes #ai #agent #hermes https://t.co/Af2kxb9n4K
@0xSero Its opinions look pretty right on to me: https://t.co/kiuZ7QXLzb (it wrote every word on this page and built the page too).
BREAKING:🚨 NVIDIA just quantized Gemma 4 31B on Hugging Face 🔥 NVFP4 compression = 4x smaller weights with frontier-level accuracy. ✅99.7% of baseline on GPQA (75.46% vs 75.71%). 📈256K context window. 🧐Multimodal (text + images + video). vLLM-ready + Blackwell optimized. VRAM requirements: ⚡️Weights only: ~16–21 GB 🚀Everyday use: Runs on 24 GB GPUs 📈Full 256K context = 32 GB VRAM sweet spot (RTX 5090-class consumer GPUs) This is the 31B-class frontier model you can actually run locally on a high-end rig. Try it today👉 https://t.co/0E6wO3PZN4
The Latent Space Foundation, Evolution, Mechanism, Ability, and Outlook paper: https://t.co/Jla6adBQom https://t.co/FQzxjcbzko
fastest way to get started with Gemma 4 is with the Gradio app on Hugging Face app: https://t.co/NGJSYaXcOc https://t.co/0qrBsC42uJ
Nature article: https://t.co/3fulB2A8dL
This new Nature paper (using old models) illustrates the point of my latest Substack post on AI interfaces. AI did a good job diagnosing medical issues, but when users had to interact with chatbots the interface led to confusion & worse answers My post: https://t.co/yRxaSHTQrX https://t.co/HX6ntur1JI
New guide on FunctionGemma: https://t.co/wAi550OOZT
Perhaps the craziest thing that was introduced on the Keras community call today: Keras Kinetic, a new library that lets you run jobs on cloud TPU/GPU via a simple decorator -- like Modal but with TPU support. When you call a decorated function, Kinetic handles the entire remote execution pipeline: - Packages your function, local code, and data dependencies - Builds a container with your dependencies via Cloud Build (cached after first build) - Runs the job on a GKE cluster with the requested accelerator (TPU or GPU) - Returns the result to your local machine (logs are streamed in real time, and the function's return value is delivered back as if it ran locally)
Try to out and send your feedback -- it's in beta for now: https://t.co/AI9YzPgwvS https://t.co/Hg3b5V03KT
Not sure where to start? Here’s a meal planning app @OliviaGuzzardo was able to build using the GitHub Copilot SDK. 🍽️ It’s now in public preview. Try it out and let us know what you create. 👇 https://t.co/RsPXSGHNM4 https://t.co/8K7WtmJSgV
First update of the call, from Sachin: Gemma 4 is out now on KerasHub! Best open-source model so far for reasoning and agentic workflows. https://t.co/EkyklinFM4
The Keras team is doing a community call today at 10am PT. That's in 25 min. The call is open to all -- join to learn about the latest features and what's next, and to ask your questions! Link to join (start in 25 min): https://t.co/zy5oJ5Lp8u
Gemma 4 also features multi-modal capabilities: use it with prompt + images combinations https://t.co/QIQk9KCuNn
More SotA model architectures on KerasHub... https://t.co/At11CKiVxS
Upcoming Keras 3.14 release: a host of new features... https://t.co/AuUYd3D1cz
A brand new product: the Keras Kinetic library lets you run jobs on TPU (and Google Cloud GPUs) via a simple decorator. Takes care of packaging your code, uploading your dataset, log streaming, winding down jobs... https://t.co/LBqsG1j1s6
Supports distributed training, async jobs, and works with all Keras backends https://t.co/KvRULT3PLW
Try it out here: https://t.co/AI9YzPgwvS
Keras community member Alan is now presenting the new CLAHE image preprocessing layer -- thanks for the contribution! https://t.co/SjadaQlWkp
Gemma 4 is now available in LlamaBarn https://t.co/Ydfi5NMA68
With the recent HF cache integration, all models that you have downloaded with llama.cpp are automatically available inside LlamaBarn too (and vice versa) https://t.co/vNhCS0XF5X
More info at: https://t.co/f5zVgNyf7X
Building on PokeeClaw to prepare for Saturday's hackathon I'm a judge on tomorrow's PokeeClaw Hackathon @Pokee_AI so I'm building a few things on it to prepare. First step? Can I sign in? Instant. This isn't the pain that setting up a MacMini with OpenClaw represents. Second, can I do something useful? I had it make me a list of all the AI communities on Reddit, since I want to build a version of my https://t.co/zleMXMaSi9 site, which watches the whole AI community here on X and finds interesting news, papers, models, and lots of other posts here on X. Took a couple of minutes. Then a couple more minutes I had a custom news feed from Reddit of interesting AI posts there. What is PokeeClaw? It isn't a chatbot. PokeeClaw is a zero-setup, enterprise-secure AI agent that works 24/7 across your apps and the web to plan, execute, and automate real work. Without fragile local setups or Mac minis. PokeeClaw works like OpenClaw, but with stronger security, 70% lower token usage, and zero setup. It runs in a secure sandbox architecture with isolated environments, approval workflows, role-based access control, and audit trails built in—giving teams an enterprise-ready AI agent that can execute real work across apps and the web. If it's this easy to build a web page with interesting AI content on it (less than 10 minutes of work) I'm expecting to see some amazing things on Saturday. Try it yourself at https://t.co/YRNXMyP06F
Bonus: MD version and interactive diagram here: https://t.co/fWEMXiOB9w Have fun! https://t.co/R7un0SCrsZ
DataFlex A Unified Framework for Data-Centric Dynamic Training of Large Language Models paper: https://t.co/N6JCavfpMt https://t.co/jQvusdm4qO
It’s 11th year and counting! Teaching the first lecture of @cs231n every year has been a highlight of my spring seasons. As usual, I asked students which departments or schools they come from @Stanford . Increasingly, students raise their hands to indicate that they come from all seven schools on campus, from @StanfordEng to @StanfordMed @StanfordHumSci @StanfordGSB @StanfordLaw @StanfordEd @stanforddoerr . AI is truly a horizontal technology that excites students across all backgrounds and disciplines!🤩
There's a version of AI infra where switching hardware vendors doesn't mean a multi-quarter rewrite. Modular built toward that from day one. Our VP of engineering, Mostafa Hagog, will be at Beyond Summit to show what it looks like: 4.1x image gen speedup, 99% lower cost per image than Nano Banana, and NVIDIA and AMD support from the same codebase👇 https://t.co/n1lmpgY7vF
