Do you understand what this means? For the first time, an Open Weight models is #1 on CyberSecutity. Sure there’s Mythos but we don’t have it :p Don’t let them trick you
@clementdelangue
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Silicon Valley quietly adopts Chinese open source AI models
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Silicon Valley is quietly running on Chinese open source AI models. Here are the receipts: → Cursor confirmed last month that Composer 2 is built on Moonshot's Kimi K2.5 → Cognition's SWE-1.6 model is likely post-trained on Zhipu's GLM → Shopify saved $5M a year by switching to Alibaba’s Qwen model. Airbnb CEO Brian Chesky has also said: "We rely a lot on Qwen. It's very good, fast, and cheap." And now Zhipu dropped GLM-5.1, an open source model that performs almost as well as Opus on coding benchmarks. 📌 More on the Anthropic + OpenClaw drama and what I'm learning about AI on the ground in China in my new post: creatoreconomy.so/p/the-all-… Peter Yang (@petergyang) As much as I love using Claude Max and ChatGPT Pro, I don't think these all-you-can-use AI subscriptions will last forever. Here's my new deep dive that covers: → Why Anthropic cut off OpenClaw access → How to run local models on your Mac → What I'm seeing on the ground in China 📌 Read now: creatoreconomy.so/p/the-all-… — https://nitter.net/petergyang/status/2041989206495653915#m
→ View original post on X — @clementdelangue, 2026-04-09 14:30 UTC
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Pi Agent Publishes Excel Traces to HuggingFace
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Someone used Pi to build an Excel agent… then published all the traces from it to HuggingFace🤯 Just point your agent at this changelog and tell it to publish its traces to HuggingFace! huggingface.co/changelog/age…
→ View original post on X — @clementdelangue, 2026-04-09 14:19 UTC
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Open-Source Security Risks and Maintenance Funding Solutions
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Feels like one of the cybersecurity risks over the coming months will be widely used open-source projects that are simply too lightly maintained for how critical they’ve become. A few ways to help: – fund open source more, and reward maintainers better – bring some of the most critical projects under more resourced umbrellas like @linuxfoundation or @huggingface Which projects would actually make sense to join HF if we wanted to help them on cybersecurity?
→ View original post on X — @clementdelangue, 2026-04-09 13:46 UTC
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Open Weight Model Achieves First Place in Cybersecurity Ranking
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Do you understand what this means? For the first time, an Open Weight models is #1 on CyberSecutity. Sure there’s Mythos but we don’t have it :p Don’t let them trick you
→ View original post on X — @clementdelangue, 2026-04-09 13:41 UTC
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Clement de Langhe visits Hugging Face HQ in Paris
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Did the famous @huggingface HQ tour in Paris! Huge thanks to @xenovacom 😊 Such an amazing space!
→ View original post on X — @clementdelangue, 2026-04-09 11:44 UTC
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Robot Successfully Folds T-Shirts from Unstructured Initial States
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This is the full video of the hardest version of the task: t-shirt folding from unstructured initial states.
— LeRobot (@LeRobotHF) 9 avril 2026
This setting really requires at least some strategy, since the robot first has to spread the shirt before it can complete the fold.
Full details on data collection… https://t.co/iC92SVqBJN pic.twitter.com/GFS16n7PzOThis is the full video of the hardest version of the task: t-shirt folding from unstructured initial states. This setting really requires at least some strategy, since the robot first has to spread the shirt before it can complete the fold. Full details on data collection strategies in the blog below. 👇 LeRobot (@LeRobotHF) Releasing the Unfolding Robotics blog! Time to unfold robotics: we trained a robot to fold clothes using 8 bimanual setups, 100+ hours of demonstrations, and 5k+ GPU hours. Flashy robot demos are everywhere. But you rarely see the real story: the data, the failures, the engineering. We’re sharing everything: code, data, and details in the blog → huggingface.co/spaces/lerobo… — https://nitter.net/LeRobotHF/status/2041542790610297259#m
→ View original post on X — @clementdelangue, 2026-04-09 11:03 UTC
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Hugging Face Dominates Trending with Multiple AI Contributions
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#1 trending on @huggingface (+ many variants in the top 10). Fantastic contribution!
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Local AI Models for Everyone: OpenClaw Adds Inferrs Support
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We absolutely LOVE local models. Have been talking about this for years, it is my favorite thing. Most people cannot afford luxury AI tokens. Yet, everyone on earth should have a personal AI. The only way that this happens for EVERYONE ON EARTH is with amazing local models. Peter Steinberger 🦞 (@steipete) Some folks try to spin a narrative that I don't like local models, meanwhile I spent a lot of time making it easy to use OpenClaw with them. Latest release adds support for inferrs, which is a new super efficient TurboQuant inference server: docs.openclaw.ai/providers/i… — https://nitter.net/steipete/status/2041935840935371034#m
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Small Open Models Detect Major Cybersecurity Vulnerabilities Effectively
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"But here is what we found when we tested: We took the specific vulnerabilities Anthropic showcases in their announcement, isolated the relevant code, and ran them through small, cheap, open-weights models. Those models recovered much of the same analysis. Eight out of eight models detected Mythos's flagship FreeBSD exploit, including one with only 3.6 billion active parameters costing $0.11 per million tokens. A 5.1B-active open model recovered the core chain of the 27-year-old OpenBSD bug." aisle.com/blog/ai-cybersecur…
