Who Trusts AI More? China vs US & Europe | Tool-Using Coding Agents & “Document Researcher” Demo скачать в хорошем качестве

Who Trusts AI More? China vs US & Europe | Tool-Using Coding Agents & “Document Researcher” Demo

In this week’s session, we connect AI trends, human trust, and practical agent design. We’ll start with the latest AI news, then dig into a striking insight: Chinese people trust AI more than users in the US or Europe. We’ll discuss what that means for global adoption, regulation, and how AI products should be designed for different audiences. From there, we shift into hands-on engineering: building coding agents with tool execution, using examples from our repo. You’ll see how to design agents that don’t just generate code, but can actually call tools, run actions, and close the loop on real tasks. We’ll wrap up with a focused “Document Researcher” use case—an AI workflow that can read, search, and synthesize across long documents, acting like a research assistant that never gets tired. What We’ll Cover 📰 This Week’s AI News Quick roundup of notable AI stories and trends. How these shifts affect developers, companies, and everyday users. 🌏 Who Trusts AI More: China vs US & Europe Survey results showing higher AI trust in China than in Western countries. Cultural, economic, and regulatory factors that might explain the gap. What this means for product design, rollout strategies, and AI governance. 💻 Building Coding Agents with Tool Execution (In Our Repo) What a “coding agent” is and how tool execution changes the game. Designing agents that can: Generate code Call tools / APIs Verify or run code as part of a loop Patterns you can reuse from our repo for your own coding assistants. 📄 “Document Researcher” Use Case Turning an LLM into a focused research assistant for long PDFs, docs, and notes. Typical workflow: ingest → search → retrieve → summarize → cross-reference. Example scenarios: legal docs, technical specs, academic papers, internal knowledge bases. Resources Coding Agents with Tool Execution (Repo): (Add your repo link here) “Document Researcher” Implementation / Notebook: (Add link here) Host: Mark Kerzner (  / markkerzner   ) ElephantScale Webinars: https://elephantscale.com/webinars/ Keywords AI Trust, China vs US, Europe AI Attitudes, AI Adoption, Coding Agents, Tool Execution, AI Tools, AI Agents, Document Researcher, Document AI, RAG, Enterprise Search, AI Workflows, Generative AI, Mark Kerzner, ElephantScale, Weekly AI News. Like sessions that blend news, culture, and hands-on AI engineering? Hit the subscribe button and click the bell 🔔 so you don’t miss future webinars.