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📚 Table of Contents * Pain Points for Frontline Developers in the AI Coding Era * Skills: Equipping AI with "Skill Packs" for the Real World * Quick Start: From Personal Use to Team Collaboration * Practical Case Studies: From Individual Intelligence to Team Intelligence * Nine Tips for Using Skills Effectively * Insights and
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# **Mastering the Art of Logging: From Rookie Mistakes to Expert Practices** --- ## **Prologue — The Alert That Sparked a Realization** One National Day holiday, I was lazily sprawled on a beach chair, beer in hand, soaking in the sea breeze — absolute bliss. Suddenly, my phone erupted with alerts: **"Disk space
AI Playbooks
Running a Large Language Model (LLM) on Your Computer — Made Simple Running a large language model (LLM) locally is easier than ever. You no longer need cloud subscriptions or massive servers — with just your PC, you can operate models like Llama, Mistral, or Phi, privately and offline. This guide shows
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# Large–Small Model Collaboration in Intelligent Investment Advisory  Leveraging **the precision and performance of traditional quantitative small models** combined with **the flexibility of large-model Agents**, we can achieve: - **Problem identification** - **Task expansion** - **API calls to
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# Podcast: Evolving Software After Failure — Resilience Through Events and Workflows In this episode, **Michael Stiefel** speaks with **Randy Shoup** about evolving software after failure and improving resilience by **modeling transient states** using **events** and **workflows**. > Failure is inevitable — but learning from it, and making cultural as well as technical
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# Meta’s Llama Journey — From Glory to Crisis   At the **end of October 2025**, Meta’s AI division announced **layoffs of 600 positions**, including the research
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AI’s Impact on Productivity, Jobs, and Society Artificial Intelligence (AI) is more than just a revolution in productivity—it represents a gradual but profound transformation of society. When efficiency skyrockets thanks to AI, an age-old question reappears: > Will humans be replaced? If AI performs tasks faster and more
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# From Language to the World: Spatial Intelligence — The Next Frontier in Artificial Intelligence When ChatGPT appeared, many thought AI was already “smart enough.” But it still can’t answer one simple question: *exactly how many centimeters are your fingertips from the rim of a coffee cup when you reach for
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The Release of the “15th Five-Year Plan Recommendations” and Its Impact on Smart Governance The publication of the Recommendations of the Central Committee of the Communist Party of China on the Formulation of the 15th National Economic and Social Development Five-Year Plan not only reaffirms the country’s development path
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SenseTime SenseNova-SI: Breakthrough in Spatial Intelligence Outperforms GPT-5 and Gemini 2.5 Pro — Now Open Source SenseTime has officially released and open-sourced its SenseNova-SI series, achieving a major breakthrough in spatial intelligence. In multiple authoritative benchmarks for spatial understanding and reasoning tasks, SenseNova-SI: * Significantly surpasses open-source multimodal models of similar
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2025-11-11 — Beijing Update Last week, Moonshot AI released and open-sourced the enhanced version of Kimi K2 — Kimi K2 Thinking, positioned as a “model as Agent”, immediately generated strong buzz in the AI community. Hugging Face co-founder Thomas Wolf wondered aloud: > "Is this another DeepSeek moment?" --- First
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Large Model Intelligence | Insights & Synthesis Expert Perspectives on AI's Future Drawing from interviews with leading figures in the AI community: * Andrej Karpathy — Former Tesla Autopilot Director: AGI is still a decade away. * Richard Sutton — Father of Reinforcement Learning: LLMs may be a dead end. * Wu Yi — Former