![[Morning Read] Node.js 2025 Status Analysis](/content/images/size/w600/2025/11/img_001-404.jpg)
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 ## Node.js Technical Steering Committee (TSC) Member **Speaker:** @matteo This article explores **Node.js** in the context of server-side programming, cloud-native applications, community participation, modern JavaScript integration, and emerging technologies. We also project **future growth areas** for Node.
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The Wave of Large Models Has Shifted from "Can Generate" to "How to Generate Efficiently" Over the past year, the wave of Large Language Models (LLMs) has moved from the shallow waters of “capable of generating” into the deep waters of “how to generate efficiently.” Inference
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# Practical Implementation of Intelligent Risk Control Driven by Large Models ## Overview In recent years, China’s **domestic consumer credit market** has grown rapidly, approaching saturation. Financial institutions have shifted from acquiring **new customers** to **deep-mining existing customer bases**. To manage risk and improve acquisition efficiency for the **middle segment** customers,
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# Alibaba Insights: Enhancing Observability for Dify Agentic Applications This guide explores **observability challenges** faced by the Dify platform in Agentic application development — analyzing **current capabilities**, **limitations**, and **improvement strategies** from both **developer** and **operations** perspectives. --- ## Introduction **Dify** is a **low-code LLM application development platform** supporting model orchestration, RAG retrieval,
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Inside Douyin’s Rise: From Start-Up Energy to AI Entrepreneurship In 2018, Beichuan joined Douyin via campus recruitment, witnessing firsthand its pivotal three-year journey from gaining traction to surpassing Kuaishou. After leaving ByteDance, he ventured into AI entrepreneurship, launching Lessie AI — a product that went viral in industry circles. In
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# From “Micromanagers” to “Macromanagers”: The Asynchronous Future of Coding ## Introduction **AI coding assistants** have evolved from novelty to necessity, with **90% of software engineers** using AI for coding in some capacity. A new paradigm is emerging — engineers orchestrating **clusters of autonomous coding agents**. In this future, the developer’s role
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Why AI Can Think But Not Remember Ever wondered why modern AI can write brilliant articles and solve complex math problems yet can't remember what you told it last week? This isn’t a minor inconvenience — it’s a fundamental flaw in current AI systems. The Problem of
Production AI
Shopify’s Billion-User Monolith: How Simplicity Scales If you’ve ever worked on a web application that slows down with just a few thousand users, imagine handling billions—and doing it with a single, elegantly designed monolith, not hundreds of microservices or annual rewrites. This is the real story of
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CodeClash: A New Benchmark for Competitive LLM Coding Researchers from Stanford, Princeton, and Cornell have introduced CodeClash, a novel benchmark designed to more effectively evaluate the coding abilities of large language models (LLMs). --- Why CodeClash? Traditional LLM coding benchmarks often focus on narrowly defined tasks—like bug fixing, algorithm
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How Long Can a Single GPU Last — 2, 5, or Even 6 Years? Over the past three years, the AI industry has been in overdrive — models grow larger, data centers multiply, and Nvidia’s stock keeps soaring. Now, as global tech giants prepare to invest $1 trillion in AI data
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TechCrunch Interview: Roy Lee on Distribution Over Product Date: 2025‑11‑15 22:24 Location: Zhejiang > “The cause of death for most startups isn’t ‘the product is bad’ — it’s ‘nobody discovers them.’” Image source: Cluely AI --- 🔍 Z Highlights * Core belief: Roy Lee understands how to make
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# OpenAI Faces Financial Transparency Controversy **Date:** 2025-11-16 10:16 Zhejiang  OpenAI has recently been accused of **dishonesty** after a series of public statements about its financial status sparked confusion and criticism. --- ## Background ![image](https://blog.aitoearn.ai/