2025-11-23 Tech Briefing | The article compares Cloudflare, AWS, and Azure services and reviews basics.

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Frontend is Dead, AI is Rising: Gemini 3 Writes a Stick Figure Shooting Game

Juejin Frontend Hottest•Published on November 20

Insight•AI and Frontier Technologies•Score: 7/10

AI Generated GameGemini 3Frontend DevelopmentRogueliteGame Generation

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Essential

Prisma 7 Major Release: Farewell to Rust, Embrace TypeScript, 3x Performance Boost

Juejin Frontend Hottest•Published on November 20

Insight•Software Architecture and Engineering Practices•Score: 9/10

Prisma 7TypeScript MigrationPerformance OptimizationPrisma PostgresType System

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Shen Xiangyang Breaks Down Five AI Evolution Dimensions: AI Development Needs to 'Climb Mount Everest' and 'Build Roads'

InfoQ - AI & LLM•Published on November 22

Insight•AI and Frontier Technologies•Score: 9/10

Shen XiangyangAI EvolutionEmbodied IntelligenceAI AgentLow-Altitude Economy

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Tech Insights

Shen Xiangyang's proposed AI 'Five-Dimensional Framework'—adding 'interaction' and 'carrier' to traditional computing power, algorithms, and data—is truly insightful. It reminds us that the future of AI is not just about model parameters and computing power stacking, but how it interacts with the world in physical form (embodied intelligence) and the fundamental transformation of human-computer interaction paradigms. His emphasis on 'dexterous hands' directly points to the core technical bottleneck of embodied intelligence, which is more practical and challenging than those generic AI vision statements. The multiple project implementations mentioned, such as financial large models, GPU renderers, MoonBit programming language, and Mozi drug platform, demonstrate a clear path from the lab to the industry.

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Perspectives

In my view, Shen Xiangyang's 'Climb Mount Everest' and 'Build Roads' theory accurately depicts the core contradictions and opportunities of China's AI industry in 2025. The domestic market has a natural advantage and huge demand in AI application deployment and vertical scenario deepening ('build roads'), but still needs continuous investment in foundational models and computing power ('climb mount everest'). He mentioned AI Agents reshaping production relations, enterprise decision-making agents, economic super-brains, embodied intelligence, and low-altitude economy, all of which are national strategic-level fields that will be a focus and burst in the coming years. Particularly embodied intelligence, with the entry of giants like Tesla, solving the 'dexterous hands' challenge will become a key milestone for the commercialization of humanoid robots. The open-sourcing of MoonBit, an AI-native programming language, also signals a new round of reshuffling in the developer tool ecosystem, which we must closely monitor and embrace in time.

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Code Arena Officially Released, Becomes a New Benchmark for AI Programming Performance Testing

InfoQ - AI & LLM•Published on November 23

Insight•AI and Frontier Technologies•Score: 9/10

AI ProgrammingPerformance TestingCode ArenaAgent BehaviorWeb Application

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General

November 22, 2025

Global Vision•Published on November 22

News•Comprehensive News•Score: 6/10

CosmosEconomyPoliticsTechnologyCulture

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Observable Universe

NASA APOD•Published on November 23

Insight•AI and Frontier Technologies•Score: 6/10

Observable UniverseCosmic Microwave BackgroundMultiverseCosmologyPhysical Laws

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Amazon SageMaker Unified Studio Adds One-Click Onboarding and Built-in AI Agent Notebooks

NASA APOD•Published on November 22

News•AI and Emerging Technologies•Score: 2/10

SageMakerAI AgentServerless NotebookMLOpsData Science

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Tech Insights

1. One-Click Onboarding: Directly integrates existing AWS data permissions, eliminating the need for tedious IAM and data source configurations. That's essentially a 'lazy person's dream'—effectively reducing the time data scientists spend on non-core tasks, allowing them to focus more on the model itself. 2. Built-in AI Agent Notebooks: Supports SQL, Python, Spark, and natural language, capable of generating code and SQL from natural language, and even 'Fix with AI' to resolve errors. This is like embedding Copilot directly into the ML environment, a true productivity multiplier, especially beneficial for newcomers and complex query scenarios. 3. Serverless Computing: Automatically scales elastically, charges on-demand, and disappears when not needed. This provides significant flexibility and cost-effectiveness in resource management, avoiding the waste of idle resources.