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The Micropayment Problem in the AI Era Ever wondered what happens to traditional payment systems when an AI agent makes 100,000 API calls daily, each costing only $0.0001? The answer is simple: complete collapse. This isn’t hypothetical — it’s a daily struggle for independent AI developers. Up
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The Interview Trap: Ultimate MQ Reliability > A friend of mine was interviewing at Meituan. Everything went well — until the final question on Message Queues (MQ): > “When using MQ, how do you ensure messages never get lost — 100% guaranteed?” > He replied with the ACK mechanism… and nothing more.
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Apple’s Titanium Apple Watch: From Powder to Precision The latest generation of Apple Watch with a titanium case begins with nothing more than a fine metal powder. No roaring lathes, no sparks, no tool-grinding friction — unlike traditional machining, the titanium Apple Watch is “printed”, not carved out. For many,
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Introduction > ❝ > When I first started using Elasticsearch (ES), it felt like a black box — throw data in, run a query, and somehow results just appeared. > Taking ownership of my company’s core search module revealed that this “black box” hides countless details that demand attention. > ❞ In
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Introducing Gemini 3 in Google Search Today, we introduced Gemini 3 — our most intelligent model yet — featuring: * State‑of‑the‑art reasoning * Deep multimodal understanding * Advanced agentic capabilities For the first time, a Gemini model is integrated into Google Search on launch day, starting with AI Mode. Gemini 3 is
AI Content Creation
I. Background After the surge in popularity of the DeepSeek Large Language Model earlier this year, industries accelerated efforts to develop AI-powered applications. The media industry is particularly well-suited to benefit from such models. With powerful content-generation capabilities, large models can transform the entire content-production chain — from intelligent capture of
Production AI
Interview: Xia Lixue on Building Agentic Infrastructure for Large-Scale AI Deployment Edited by: Luo Yanshan, Tina Curated by: Yuqi --- Introduction: From AI Infra to Agentic Infra A new era—driven by intelligent agents as the fundamental operational unit—is accelerating. Infrastructure is evolving from AI Infra → Agent Infra → Agentic
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# Gemini 3: Ushering in the Next Era of AI ## A Note from Sundar Pichai, CEO of Google and Alphabet Nearly two years ago, we launched the **Gemini era** — one of the largest scientific and product initiatives in Google’s history. Since then, adoption has been extraordinary: - **AI Overviews:** Serving
![[Morning Read] Building Native-Grade Web Apps with Local-First Data](/content/images/size/w600/2025/11/img_001-456.jpg)
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Introduction to LiveStore LiveStore is a new local-first data layer designed to simplify building high-performance, native-grade web applications. It automatically synchronizes data using reactive SQLite and event sourcing. 🔗 LiveStore GitHub: https://github.com/livestorejs/livestore --- Native App Quality: Inspiration from Linear High-quality software like Linear is setting new standards
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# **AliSQL 8.0 Vector Index Deep Dive (Build 20251031)** **_129th article of 2025_** *(Estimated reading time: 15 minutes)* --- ## **01 — Background** With the widespread adoption of **AI** and large-scale model applications, **high-dimensional vectors** have become a core representation for complex data like text, images, and speech. Demand for **vector storage
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 ## **Snowflake’s Shift from Data Infrastructure to AI Data Cloud** Over the past decade, **Snowflake (SNOW)** has become a leading force in the **enterprise data platform** sector thanks to its **cloud-native data warehousing innovations**. - **2020 IPO**: Priced
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Gemini 3 Pro — The Wait Is Over After 238 long days, the anticipation finally ended: Gemini 3 Pro launched last night. Endless Rumors Before Launch Previously, every “Gemini 3 news” turned out to be false. * Rumored models like lithiumflow and orionmist disappeared from discussions. * Later, riftrunner emerged and was also