Google's rolling out its most powerful AI chip, taking aim at Nvidia with custom silicon Google says Ironwood, the seventh generation of its Tensor Processing Unit, is more than four times faster than its predecessor chip.

The chip, built in-house, is designed to handle everything from the training of #largeModels to powering real-time #chatbots and #AIagents.... and give customers “the ability to run and scale the largest, most data-intensive models in existence.”
www.cnbc.com/2025/11/06/g...

New Taxonomy Highlights Reasoning Patterns of Large Models

The Open Taxonomy (LOT) can classify reasoning traces of large models with 80%‑100% accuracy, and aligning Qwen3 variants’ style improved GPQA scores by 3.3%‑5.7%. getnews.me/new-taxonomy-highlights-... #opentaxonomy #largemodels #qwen3

Providing goals as images to #robots is a flexible and accessible medium. In this lecture, I explain the best methods, challenges, and limitations of learning good #representations for images, starting with using more structure and moving on to using #largemodels and language as goals.

How can control policies be trained from offline data and scaled to larger models and datasets? In this #robotlearning lecture, I cover common methods for training policies from fixed data, and then I discuss recent research on how to scale these methods to #largemodels and #largedatasets.

#DeepQlearning for continuous actions is key for controlling many types of #robots, but it has been tricky to train #largeModels to achieve those performance gains. In these lectures, I cover the fundamentals and explain how new research is bending the rules of the #deadlytriad to advance #scaling.

#RobotLearning lecture update. These next lectures cover deep #qlearning fundamentals quickly and then get into the challenges of training #largemodels, maintaining the contraction property with target networks, network structure, and better optimizers.

Combining Large Models Unlocks New Levels Of Performance In AI Research Researchers explored large-scale model merging, showing that combining large instruction-tuned models improves performance and generalization across various tasks, even surpassing multitask-trained mo...

🔥🤖📈Combining Large Models Unlocks New Levels Of Performance In AI Research www.azoai.com/news/2024101... #AIresearch #modelmerging #scalability #generalization #largemodels #expertmodels #zeroshot #instructiontuning #multitasktraining