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Facing the AI Wave: Turning “Repeated Defeat” into “Certain Victory” > Summary: > Through three rounds of internal AI capability upgrades, this article reveals the pitfalls of formalism and proposes a “competition-as-training” model to help enterprises truly transform their thinking, moving from traditional engineering logic to AI-first workflows. --- Background:
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Bridging Software Engineering and Data: A Practical Guide Introduction Matthias Niehoff: I'm Matthias, working at Codecentric — a consultancy based in Germany. My career began in software engineering, later moving into data-driven projects with Apache Spark and analytics platforms. My foundation is still in engineering — but applied to data
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# AI-Powered Group Chat Understanding for Community Operations ## 1. Why We Need AI for Group Chat Analysis At **Bilibili**, our operations team manages numerous creator group chats — including category support groups, growth bootcamps, specialized forums, and Q&A channels. These groups generate **massive amounts of daily messages**. Manual tracking is:
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Interview Overview Interviewee: Luo Jinping, CTO of Starbucks China Interviewer: Hu Taiwen, Founder and CEO of Geekbang Technology > “Inside Starbucks, we are planning to equip every employee with a ‘digital assistant’ within three years—possibly more than one. With such an assistant, we’ll have more time to think
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# **ROLL + ROCK: End-to-End Agentic AI Training Infrastructure** **Article #131 of 2025** *(Estimated Reading Time: 15 minutes)* --- ## **01 — Preface** **ROLL** is an open-source reinforcement learning (RL) framework for large-scale models, developed by **Alibaba’s Future Life Lab** and **Intelligent Engine team**. It provides a **complete RL training pipeline**, enabling models
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 --- ## 📚 Table of Contents 1. Preface 2. Introduction 3. Early Implementation Plan 4. Increasing Requirement Complexity 5. Implementation with Modern Frameworks 6. Future Outlook --- The **typewriter effect** is now a familiar yet powerful presentation technique in **front-end
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Effective Harnesses for Long-Running Agents Original Article › As AI agents gain capabilities, they are tackling more complex, long-duration tasks — sometimes taking hours or days to complete. A persistent challenge is keeping agents coherent across multiple memory cycles, since each session starts with limited context. --- The Core Problem: Context Window
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PPIO Agent Runtime — Lightweight Framework for AI-Native Agents PPIO has introduced Agent Runtime, a lightweight agent runtime framework built upon its self-developed Agent Sandbox. This solution is designed to meet the specific runtime needs of intelligent agents — similar in concept to AWS AgentCore Runtime — and significantly simplifies deployment through an
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Too Many Cognitive Gaps in AI Job Interviews This article takes a hard look at bizarre realities in AI hiring, breaking down the root causes — from the disconnect between algorithms and product to the inertia of outdated experience. It also shares key signals to identify trustworthy teams, so whether you’
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Running AI Models Locally: Reality Check It’s remarkable that we can now run powerful AI models entirely on our own hardware. From downscaled DeepSeek variants to gpt-oss-20b, a wide range of models can operate on many computers. However, let's be honest: these local models still lag far
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Introducing Advanced Tool Use on the Claude Developer Platform Read the original post → --- Overview The next generation of AI Agents will need to integrate with hundreds or thousands of tools — from developer IDE assistants with Git, package managers, testing frameworks, and deployment pipelines, to operations coordinators managing Slack, GitHub,
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AICon Beijing 2025 — Intelligent Multi-Agent Diagnostics Date: 2025-11-24 13:41 (Beijing) Explore the core of Alibaba Cloud’s Intelligent Diagnostics system and decode the practical path for multi-agent collaborative troubleshooting. --- Event Overview Dates: December 19–20, 2025 Location: Beijing Theme: Exploring the Boundaries of AI Applications Key Topics * Enterprise-level