Introducing the Fusion API, the smartest compound model in the market. Fusion achieves Fable-level intelligence at half the price. How it works 👇

As a biotech investor it's hard not to think that @AnthropicAI is now an operational risk for small biotech startups. So much trust lost so quickly with the Fable roll-out. @dagarfield @nc_frey

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.

Introducing NVIDIA Cosmos 3 We released NVIDIA Cosmos 3 last night. And today, seeing it take the top spots across 8 open model leaderboards feels surreal. We spent months working towards this moment. Here’s the breakdown: The Leaderboard Wins World Reasoning 🏆 #1 open model on VANTAGE-Bench for vision AI 🏆 #1 overall on Traffic Anomaly Reasoning (TAR) World Generation 🏆 #1 open model on Artificial Analysis Image-to-Video leaderboard 🏆 #1 open model on Artificial Analysis Text-to-Image leaderboard 🏆 #1 open model on PAI-Bench for physical AI synthetic data generation 🏆 #1 open model on Physics-IQ, which measures accuracy on physical laws 🏆 #1 open model on R-Bench for world generation quality World Action 🏆 #1 on RoboArena for specialized policy 🏆 #1 on RoboLab for action generation But the leaderboards are only part of the story. The real story is why we built Cosmos 3 in the first place. The Problem Training robots and autonomous systems in the real world is painfully hard. Robots need to try the same thing numerous times before they succeed reliably. Self-driving cars need rare edge cases that may never happen naturally. Smart machines need to understand physics, motion, contact, failure, and surprise. And real-world data is slow, expensive, and sometimes dangerous to collect. At some point, the answer cannot just be “collect more data.” You can’t collect your way out of an infinite physical world. You have to generate it. That… was the question behind Cosmos: Can one model understand the physical world deeply enough to reason about it, simulate it, and generate actions inside it? What We Built Cosmos 3 is the first omni-model for physical AI. It can understand and generate across: language · images · video · audio · action sequences It is not just a VLM. Not just a video generator. Not just a robot policy model. It is all of them, in one single model. That matters because physical AI has been fragmented for a long time. Cosmos 3 is our attempt to collapse that fragmentation. Depending on how you configure the inputs and outputs, the same model can act as a vision-language model, a video/world generator, a world simulator, or a world-action model. No separate architecture required. The Architecture Under the hood, Cosmos 3 uses a dual-tower Mixture-of-Transformers architecture. One tower is autoregressive for reasoning. It handles next-token prediction for language and discrete understanding. The other tower is diffusion-based- for generation. It denoises images, video, audio, and action trajectories. Two towers. Dual-stream joint attention. One shared world representation. Each modality gets its own tools: visual encoders, video VAEs, audio VAEs, and action projectors that can map different embodiments into a unified action space. Action is a first-class modality in Cosmos 3. That’s what makes it more than a video model. It doesn’t just predict and generate what the world might look like. It can connect reasoning and world modeling to physically grounded action. Why This Matters One of the most interesting findings from the ablation work is that training action domains together creates positive transfer. That means adding more embodiments does not just add more use cases. It can actually make the model better. This is the heart of why omnimodal training matters. A shared world representation is not just convenient. It can make each individual task stronger. That’s the part that feels like the beginning of something much bigger. The part I’m most excited about is that Cosmos 3 is fully open. Developers get the models, scripts, optimization, inference endpoints, post-training recipes, datasets, and benchmarks. Everything is available under the Linux Foundation’s OpenMDW 1.1 License. You can use Cosmos 3 out of the box. You can use the VLM, world model, or world-action pieces separately. You can post-train it for your own domain, embodiment, or accuracy target. That’s what makes this feel different. Cosmos 3 is not just a model release. It is the foundation for building intelligence for autonomous machines. For me, Cosmos 3 feels like a step toward a world where physical AI development becomes much more scalable and accessible - to a new age of developers and agents. That’s what we built Cosmos 3 for. I cannot wait to see what you build with it. Download Models on Hugging Face huggingface.co/collections/n… Customize Models on GitHub github.com/NVIDIA/cosmos Read the Tech Blog to Learn More developer.nvidia.com/blog/de…

Our goal is to deliver unmetered intelligence to every home and every desk with Windows. NVIDIA RTX Spark marks a real breakthrough toward that vision. Looking forward to sharing more with Jensen, who will be joining us live from Taiwan, at Build this week! blogs.windows.com/windowsexp…

Introducing MiniMax M3: The First Open-Weights Model to Combine Three Frontier Capabilities - Coding & Agentic Frontier: 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, 34.8% SWE-fficiency, 28.8% KernelBench Hard, 74.2% MCP Atlas - MiniMax Sparse Attention scales context to 1M - Natively Multimodal from Step Zero API: platform.minimax.io Token Plan: platform.minimax.io/subscrib… 🚀New! MiniMax Code: code.minimax.io Weights & Tech Report in ~10 Days

@MiniMax_AI M3 has arrived! 😍 "Latest M-series language model for agentic reasoning, tool use, coding, and long-context tasks" Context Window: 1,000,000

PICARD: Data, shields up DATA: Brilliant! Shields can reduce damage we sustain. Not immunity. Not hubris. Just prudence. It's not precaution—it's strategy. [camera shakes] WORF: HULL BREACHES ON NINE DECKS DATA: Here's what happened: you told me to raise shields, and I didn't

An autonomous agent will need four things to function as a real economic actor: 1) the ability to own (assets, accounts, credentials, intellectual property); 2) the ability to contract (to bind itself and be bound, in a form a counterparty can rely on); 3) the ability to litigate (to sue, be sued, and have judgments enforced); and 4) the ability to persist (to outlast any individual human's involvement, the way Apple outlasts Tim Cook).

Unfortunately knew it was just a matter of time the rtx 6000 pro just jumped at Microcenter from $8699 to $9999. $9999 is the highest they've ever had it listed at.

Not affiliated with Codex. But we do love OSS and congrats. Keep it up and let me know when you hit 1k users and will send you something special!