Jensen Huang tells Ezra Klein that AI is just software whose existential risks are overstated, yet his standards would shut down OpenAI and 10x safety spending

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Subquadratic: the LLM built for 12M-token reasoning — SubQ can reason across entire codebases and document sets in one pass with no RAG workarounds. Read how SubQ 1.1 Small holds near-perfect retrieval out to 12M tokens.

Cloudflare Connect 2026: The Agentic Conference — Stop preparing for agents. Start running them. 100+ sessions, workshops, and speakers from OpenAI, Arm, and Cloudflare across AI, security, and performance.

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Satya Nadella on Microsoft's agent bet and AI's...

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Scaling MoE reinforcement learning on Amazon EKS with EFA and DeepEP with 40% more throughput | Amazon Web Services

When you post-train a Mixture-of-Experts (MoE) model with Reinforcement Learning from Human Feedback (RLHF) or Group Relative Policy Optimization (GRPO) at scale, three simultaneous challenges emerge. The first requires coordinating heterogeneous compute for rollout generation and policy training. Second, sustaining high-throughput communication across hundreds of accelerators. And third, dynamically orchestrating