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News from frontier AI labs and open-source and open-weight model teams: OpenAI, Anthropic, Google DeepMind, Meta AI, xAI, NVIDIA, Alibaba Qwen, DeepSeek, Mistral AI and Black Forest Labs.

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Dense vs. MoE Models: Active Parameters, Throughput, and When to Choose Each (opens in a new tab)

How can a 30B-parameter model activate only 3B parameters per token, and still use the capacity of the larger model? Nemotron 3.5 Lightning illustrates the...

Read at NVIDIA Technical Blog (opens in a new tab)
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Google Launches Gemini 3.8 Live and Extended Thinking Voice AI Models (opens in a new tab)

Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking are our most advanced live dialogue models yet, built for natural conversation.

Read at blog.google (via Future Tools / Matt Wolfe) (opens in a new tab)
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How NVIDIA Groq 3 LPX Deterministic Execution Drives Power-Efficient High-Interactivity Inference on NVIDIA Vera Rubin (opens in a new tab)

Power is a defining constraint for AI factories. As AI workloads demand a full compute platform to serve them, each component of that platform must maximize...

Read at NVIDIA Technical Blog (opens in a new tab)
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