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AI Agents and Contextual Integrity As AI agents become more autonomous in performing tasks for users, it is vital that they respect privacy norms regarding what information to share — and what to keep private. The contextual integrity framework defines privacy as the appropriateness of information flow within specific social contexts.
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Ironwood: Google’s Most Advanced TPU for the Age of Inference Today's most advanced AI models — especially those driving complex reasoning and computation — require hardware with exceptional speed and efficiency. At Cloud Next in April, Google introduced Ironwood, our seventh-generation Tensor Processing Unit (TPU). Ironwood is our most
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# Master Data Management vs. Data Middle Platforms: Clarifying Concepts for Digital Transformation Recently, a fellow industry professional asked me: > *"Why doesn’t your data middle platform include a master data management module? Isn’t MDM the first step in enterprise digital transformation?"* For a moment, I wasn’
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From Booth Models to “Little Bees” – A Changing Auto Show Scene Last Friday, on my way home from media day at the Guangzhou Auto Show, I came across a post on Xiaohongshu. A young woman who had worked as a hostess at a booth asked: > “Is being a ‘little
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The Age of the AI Black Box We now live in an era ruled by black boxes — the systems we broadly call AI. For decades, our relationship with these machines was simple: We gave them large amounts of data, and they gave us a kind of magic — recommending the next
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🎧 Listen to This Episode (Click the image above to listen) --- Interview Overview Topic: Power Supply Shortages in U.S. AI Expansion Format: Conversation with Microsoft CEO Satya Nadella and tech guest Zheng Di Focus: * Where will the electricity come from? * Where will the money come from? * Could crypto miners
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Introduction Every app that manages user accounts needs to verify identity. That’s the role of authentication — ensuring the user is who they claim to be. Doing this securely is harder than it seems. Traditional sessions + cookies work well for monolithic web apps, but scale poorly for APIs or mobile
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Kreisy Reporting from AF Temple --- Introduction: A Live-Fire Training Ground for Intelligent Agents Alibaba has officially open-sourced its new project — ROCK — solving one of the biggest challenges in AI training: scaling complex task environments in the real world. With ROCK, developers can launch standardized one-click deployments for large-scale agent
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# AI & Tech Weekly Roundup ## Google Launches Gemini 3 with Record AI Benchmarks **[Read full article →](https://techcrunch.com/2025/11/18/google-launches-gemini-3-with-new-coding-app-and-record-benchmark-scores/)** **Related Coverage:** - [Alphabet stock surges on Gemini 3 optimism](https://www.cnbc.com/2025/11/19/alphabet-stock-gemini-3-ai.html) - [Alphabet nears $4T valuation on AI-driven growth]
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SaaS Users Struggling to Transition to C-End Products Five Major Pitfalls — and How to Avoid Them When a SaaS client decides to build their own online store or mini-program, challenges abound. This guide aims to help product managers and decision-makers steer clear of unexpected pitfalls. --- Background: A Real-World Failed
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Author and Team Introduction The first authors of this work are Huanlin Gao and Ping Chen, with corresponding authors Fang Zhao and Shiguo Lian. Other contributors include Fuyuan Shi, Chao Tan, Zhaoxiang Liu, and Kai Wang. All authors are part of the Yuanjing Large Model R&D Team at
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# AI-Native Customer Service Evolution and Evaluation The rapid growth of **Large Language Models (LLMs)** and computing power is reshaping industries. Even though AI is still in an *assisted action stage*—primarily helping rather than acting fully autonomously—its potential and developmental trajectory are already clear. ![image](https://blog.aitoearn.ai/