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You've been asking for this one... Now in preview: Codex in the ChatGPT mobile app. Start new work, review outputs, steer execution, and approve next steps, all from the ChatGPT mobile app. Codex will keep running on your laptop, Mac mini, or devbox.

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Introducing Agent Orchestration in Notion 🎼 Imagine a Decagon ticket routes to your coding agent, which proposes a fix and loops your team in to approve. That’s no longer a dream. Now, anyone can work with agents in Notion, not just engineers.

🚀Launching: LangSmith Engine LangSmith Engine is an agent that sits on top of your traces It runs in the background and automatically identifies issues It then proactively suggests action items (code changes, evaluators to add) Try it today: smith.langchain.com

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Suno is now on Apple CarPlay and Android Auto🚗 Stream your favorite creations in the car. Try it out on your morning commute with this playlist! suno.com/playlist/a255c…

“Solve the Loop: Attractor Models for Language and Reasoning” Looped Transformers can refine their thoughts internally, but they are usually unstable and tied to a fixed number of loops. So this paper turned recurrence into a fixed-point problem, where a Transformer first makes an output-embedding guess, then an attractor module refines it until convergence. This makes iterative reasoning trainable with constant memory, adaptive depth, and less compute. The surprising part is equilibrium internalization because after training, the model learns to start near the fixed point, so the solver can almost disappear at inference. In their experiment, a 770M Attractor Model beats a 1.3B Transformer trained on twice the tokens, and a 27M model gets 91.4% on Sudoku-Extreme and 93.1% on Maze-Hard.

Delivering agentic inference at scale requires balancing efficiency across: 1) Models and algorithms 2) Software 3) Compute Our full-stack platform continuously optimizes for these inputs using extreme co-design across compute, networking, storage, and memory. Plus, software with broad ecosystem support across millions of developers. The result: lower cost per token, higher throughput, and more scalable AI systems.

Stay active on Google without the daily effort ⏳ The newly updated Google Posts tool lets you schedule posts ahead of time and keep your business visible when it matters most ➡️ goo.gle/4d62XuO What would you share first? 👇

PyTorch 2.12 introduces major updates across compilation, export, distributed training, and accelerator support. Highlights include up to 100x faster batched linalg.eigh on CUDA, the new torch.accelerator.Graph API, Microscaling quantization support in torch .export.save, and fused Adagrad. The release includes 2,926 commits from 457 contributors since PyTorch 2.11. Have questions? Join @AndreyTalman (@Meta), @albanDesmaison (@Meta), and @joespeez (@reflection_ai), moderated by @Chris_AI_HPC (@Meta), on May 20 at 10:00 AM PT for a live Q&A covering the release and answering questions from the community. 🔗 Read the release blog and register for the webinar: pytorch.org/blog/pytorch-2… #PyTorch #OpenSourceAI #MachineLearning #AIInfrastructure

AI literacy training that fits in your schedule. The Google AI Educator Series is here! ✅ Aligned to @ISTE_ASCD Standards ✅ Snackable: 15–45 min sessions ✅ Stackable: Build your own learning path ✅ Practical: Created for K-12 & higher ed Get started: goo.gle/4wt5o1Z

Watch a team of humanoid robots running a full 8-hr shift at human performance levels. This is fully autonomous running Helix-02 x.com/i/broadcasts/1…

Computer is secure by default. Every task runs in its own hardware-isolated sandbox with VPC-level storage and compute separation. Agents are authenticated with short-lived proxy tokens instead of raw API keys.

Meet Runway Agent. Your new AI creative partner that helps you ideate and execute fully finished, sound designed and edited videos. All with just a simple conversation. From ads to shorts to content for social, Runway Agent makes it easy to make more of what you need. Get started on web at the link below.

“Become the best in the world at what you do, keep redefining what you do until this is true.”