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OpenAI recently announced that, despite initial testing, it will not adopt Google's TPU chips on a large scale. TPU (Tensor Processing Unit) is a custom ASIC chip developed by Google for machine learning tasks, designed to accelerate the training and inference of neural networks. TPU uses a dataflow-driven architecture, enabling efficient matrix multiplication pipeline computing and reducing memory access latency. Image source note: The image is AI-generated, provided by the licensing service Midjourney. OpenAI stated that it will continue

OpenAI announced the official opening of API access to its deep research models, providing developers with a powerful set of tools including automatic web search, data analysis, MCP (Model Communication Protocol), and code execution. The models opened include the deep research versions of o3 and o4-mini, which have already been used in ChatGPT. Now, developers can directly call these models via API. These models are particularly suitable for complex tasks that require obtaining the latest information and performing advanced reasoning. In terms of function expansion, o3,

In a recent funding round, Abridge, an artificial intelligence startup dedicated to automating medical records, successfully raised $300 million in Series E financing, increasing its valuation to $5.3 billion. The round was led by the renowned investment firm Andreessen Horowitz, with Khosla Ventures also participating. Notably, this funding followed the company's $250 million funding round in February, when its valuation was $2.75 billion. Abridge has been in operation for seven years.

Google DeepMind recently published a blog post, officially introducing the new Gemini Robotics On-Device localized robot AI model. The model uses a vision-language-action (VLA) architecture, enabling precise control of physical robots without cloud support. The biggest highlight of the new model is that it runs entirely locally on the robot device, achieving low-latency response capabilities. This feature makes it particularly suitable for environments with unstable network connections, such as critical application scenarios like medical facilities.

On June 23, NetEase Youdao officially launched and open-sourced its latest 'Ziyue 3' series large model, named 'Confucius3-Math' in English. This reasoning model, focused on mathematical education, can efficiently run on ordinary consumer-grade GPUs, becoming the first low-cost and high-performance AI educational tool in China. In a series of mathematical reasoning tasks, 'Ziyue 3' has demonstrated outstanding performance that surpasses many large-scale general models. The 'Ziyue Math Model' achieves this through large-scale reinforcement learning and a series of innovative algorithms.

Hoje, o Hello, o Grupo Ant e a BYD, por meio de seus investidores, registraram conjuntamente a empresa Shanghai Zao Fu Intelligent Technology Co., Ltd. em Xangai. Esta nova empresa

Recently, Bilibili announced the integration of Qwen3 and Qwen-VL models, and based on this technology, launched InsightAgent. This initiative has significantly improved the efficiency of its commercial platforms, HuaFire and BiDa. During the recent 618 major e-commerce promotion event, Bilibili's commercial platforms leveraged InsightAgent to achieve a significant leap in commercial order conversion and data insight efficiency.

At the recently concluded Cannes Lions International Festival of Creativity, YouTube CEO Neal Mohan announced that YouTube will introduce its latest Veo3AI video generation model to YouTube Shorts later this summer. Dubbed "a rogue's dream", its release will bring new creative possibilities for short video creators. Currently, short video creators are already able to use the Veo2 model to generate background videos and standalone clips. Although Neil