The latest AI news we announced in November
Here are Google’s latest AI updates from November 2025
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Masked agents chased the wrong woman and DHS says the system worked
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YOLOv1 Paper Walkthrough: The Day YOLO First Saw the World
A detailed walkthrough of the YOLOv1 architecture and its PyTorch implementation from scratch The post YOLOv1 Paper Walkthrough: The Day YOLO First Saw the World appeared first on Towards Data Science.
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OpenAI appoints Denise Dresser as Chief Revenue Officer
Denise Dresser is joining as Chief Revenue Officer, overseeing OpenAI’s global revenue strategy across enterprise and customer success. She will help more businesses put AI to work in their day-to-day operations as OpenAI continues to scale.
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Opera wants you to pay $20 a month to use its AI-powered browser Neon
Following a couple of months’ testing, Opera has finally made its AI-powered browser, Neon, available to the public — though you’ll have to shell out for a $19.90-per-month subscription to use it.
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AI data center boom could be bad news for other infrastructure projects
Improvements to roads, bridges, and other infrastructure could take a hit as data center construction accelerates.
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Nvidia is reportedly testing tracking software as chip-smuggling rumors swirl
A new software option could make it possible to see the approximate location of some of Nvidia’s AI chips.
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How We Are Testing Our Agents in Dev
Testing that your AI agent is performing as expected is not easy. Here are a few strategies we learned the hard way. The post How We Are Testing Our Agents in Dev appeared first on Towards Data Science.
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Zhipu AI Releases GLM-4.6V: A 128K Context Vision Language Model with Native Tool Calling
Zhipu AI has open sourced the GLM-4.6V series as a pair of vision language models that treat images, video and tools as first class inputs for agents, not as afterthoughts bolted on top of text. Model lineup and context length The series has 2 models. GLM-4.6V is a 106B parameter foundation model for cloud and high performance cluster workloads. GLM-4.6V-Flash is a 9B parameter variant tuned for local deployment and low latency use. GLM-4.6V extends the training context […]
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The Complete Guide to Using Pydantic for Validating LLM Outputs
Large language models generate text, not structured data.
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