Glasswing is possibly the most consequential event in the AI industry I've seen up close since joining Anthropic almost 3 years ago. It feels like we're at a turning point in history.
GENERATIVE AI
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Anthropic Won’t Release Mythos Preview Publicly, Tests Safeguards
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We do not plan to make Mythos Preview generally available. Our goal is to deploy Mythos-class models safely at scale, but first we need safeguards that reliably block their most dangerous outputs. We'll begin testing those safeguards with an upcoming Claude Opus model. [Translated from EN to English]
→ View original post on X — @anthropicai, 2026-04-07 18:06 UTC
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Project Glasswing: Securing the World’s Critical Software
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Introducing Project Glasswing: an urgent initiative to help secure the world's most critical software. It's powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans.
anthroplic.com/glasswing [Translated from EN to English]→ View original post on X — @anthropicai, 2026-04-07 18:06 UTC
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Anthropic Withholds Claude Mythos to Strengthen Cybersecurity
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NEWS: Anthropic's new model, Claude Mythos, is so powerful that it is not releasing it to the public. Instead, it is starting a 40-company coalition, Project Glasswing, to allow cybersecurity defenders a head start in locking down critical software. nytimes.com/2026/04/07/techn… [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-07 18:01 UTC
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Niantic Spatial Launches Scaniverse with VPS 2.0 and Geospatial AI
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Today, Niantic Spatial introduces Scaniverse — our flagship product and the gateway to our spatial intelligence platform and Large Geospatial Model.
— Niantic Spatial 🌎 (@NianticSpatial) 7 avril 2026
Here’s what’s new:
🔹Scaniverse (iOS mobile + web): Capture once, generate multiple outputs—VPS maps, meshes, and Gaussian splats… pic.twitter.com/ChYvXSsGbOToday, Niantic Spatial introduces Scaniverse — our flagship product and the gateway to our spatial intelligence platform and Large Geospatial Model. Here’s what’s new: 🔹Scaniverse (iOS mobile + web): Capture once, generate multiple outputs—VPS maps, meshes, and Gaussian splats (Android coming soon) 🔹Collaborative mapping: Multi-user scans fused into a single, continuously improving model 🔹 On-device validation: Preview VPS coverage and test localization in real time 🔹VPS 2.0: Global-scale positioning—centimeter-accurate where mapped, reliable everywhere else (even where GPS fails) 🔹NSDK 4.0 (coming soon): A unified SDK across Unity, Swift, Android, and ROS 2 Read more: hubs.ly/Q049Tpkb0 #NianticSpatial #Scaniverse #VPS #GeospatialAI #AI
→ View original post on X — @scobleizer, 2026-04-07 17:57 UTC
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Open-source agent traces dataset: crowdsourcing AI training data
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Very cool open-source traces from @TheZachMueller @LambdaAPI: huggingface.co/datasets/lamb… 150M tokens for @NousResearch's Hermes harness with Kimi-K2.5 & GLM 5.1 that was just released! clem 🤗 (@ClementDelangue) We keep saying we want open-source frontier agents. Fine. Then let’s build the dataset. @badlogicgames, creator of Pi, just shared some of his agent traces used to build Pi on @huggingface. I’m now sharing some of mine too, exporting them from @hermes, @opencode, and Claude via @tracesdotcom, and I’ll keep going. Why this matters: one of the biggest bottlenecks for open-source agent models is the data. And all of us are generating that data every day through our conversations with agents. If enough builders share even a slice of their traces publicly, we can create the largest crowdsourced open dataset for agents. Time to put your tokens where your mouth is and give a chance for open source to win! — https://nitter.net/ClementDelangue/status/2041189872556269697#m
→ View original post on X — @clementdelangue, 2026-04-07 17:57 UTC
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GLM-5.1: Open Source Model with 754B Parameters Tops Benchmarks
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754B parameters, 1.51TB on Hugging Face Z.ai (@Zai_org) Introducing GLM-5.1: The Next Level of Open Source – Top-Tier Performance: #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo. – Built for Long-Horizon Tasks: Runs autonomously for 8 hours, refining strategies through thousands of iterations. Blog: z.ai/blog/glm-5.1 Weights: huggingface.co/zai-org/GLM-5… API: docs.z.ai/guides/llm/glm-5.1 Coding Plan: z.ai/subscribe Coming to chat.z.ai in the next few days. — https://nitter.net/Zai_org/status/2041550153354519022#m
→ View original post on X — @clementdelangue, 2026-04-07 17:56 UTC
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AI-Generated Fake Diseases: Medical Misinformation Risk
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How to create a medical condition that does not exist?
Post preprints of a fake disease (Bixonimania) and let AI take it from there -
Unlimited Fast Token Access and AI Platform Resources Granted
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Giving me unlimited fast token and preview access and internal resources and people and sponsorships. It’s amazing!
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GLM-5.1: Self-Improving Agentic Model with Long-Horizon Problem-Solving
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This is a very big deal: GLM-5.1 model can autonomously evaluate and improve its own work over long periods without explicit metrics, shifting from one-shot outputs to sustained, self-directed problem solving. Lets go Chubby♨️ (@kimmonismus) Another big release: GLM-5.1! China is on fire! significant increase in evals compared to GLM-5.0 tl;dr GLM-5.1 is the new open-source agentic coding model that significantly outperforms its predecessor by sustaining long-horizon problem-solving over hundreds of iterations, continuously improving results instead of plateauing, achieving state-of-the-art performance on complex software engineering benchmarks. — https://nitter.net/kimmonismus/status/2041553412878180691#m
→ View original post on X — @kimmonismus, 2026-04-07 17:30 UTC