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Recursive Self-Improvement: from Auto Research to Superintelligence — Richard Socher, Recursive Sep 14, 2026 · 1:33:27 Richard Socher discusses the 'Eureka Machine,' a superintelligence that automates invention. He details the shift from manual feature engineering to self-improving AI, emphasizing hardware constraints and the critical need for robust alignment protocols.

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Vertically Integrated, Horizontally Open | AI Factory Insider Ep 5 Sep 22, 2026 · 40:14 Discover how 'vertically integrated, horizontally open' AI factories are powered by CUDA. Learn how reusable libraries and Agentic AI are redefining the full-stack computing landscape. When Will AI Make Me Scrambled Eggs? I Went To NVIDIA To Find Out. Sep 24, 2026 · 46:27 NVIDIA's World Models (Cosmos 3) are redefining physical AI by moving beyond text-based LLMs. They fuse world understanding, simulation, and action into a single model, enabling policy verification for robotics and self-driving cars in simulated environments.

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Building a GPU Compiler from Scratch: Lowering PyTorch Graphs to CUDA via Multi-Level IRs Oct 8, 2026 · 53:59 Learn how ML compilers progressively lower PyTorch graphs to efficient CUDA kernels. We explore the IR stack: from PyTorch to Loop IR, Tiling, and Kernel IR, detailing fusion and scheduling. Building Reliable AI Infrastructure at Scale with Extreme Co-design Oct 7, 2026 · 40:38 NVIDIA introduces the Vera Rubin platform, an integrated AI factory designed for extreme co-design. Learn how advanced networking (Spectrum-X) and specialized CPUs enable reliable, scalable AI infrastructure for the next generation of Agentic AI. How to Set Up NVIDIA Jetson for Remote AI Development with Codex Oct 2, 2026 · 4:58 Learn how to set up an NVIDIA Jetson for remote AI development. This guide covers secure SSH setup, Wi-Fi configuration, Codex CLI integration, and validating CUDA GPU access via Docker containers.

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