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366 related articles
·3 min
Microsoft Build 2026: In-Depth Analysis of the In-House Reasoning Model MAI Thinking-E and the Full AI Product Suite
Microsoft Build 2026 unveils MAI Thinking-E, its first in-house reasoning model with 1T MoE architecture, plus 6 vertical AI models. Deep dive into performance, strategy, and industry trends.
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·3 min
Claude Code Skills Mechanism Explained: On-Demand Loading for Token Savings and Better Performance
Deep dive into Claude Code's Skills mechanism: on-demand loading replaces bulk context dumping, cutting Token costs and boosting output quality with modular expertise.
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·2 min
AI Alleviating Sierra Leone's Teacher Shortage: Technology Empowering Rather Than Replacing Educators
Sierra Leone faces severe teacher shortages. AI as a teacher partner can provide personalized tutoring, content preparation, and basic Q&A. This article analyzes AI education prospects, infrastructure challenges, and localization strategies in developing countries.
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·2 min
The AI Industry's Psychological Warfare: Narrative Manipulation, Ecosystem Lock-In, and the Endgame
Behind the AI industry's relentless product launches and narrative building lie deeper battles over data monopolies, ecosystem lock-in, and expectation management. A deep dive into the psyop phenomenon.
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·3 min
Agent Skills: Folders as Skills — Making AI Produce Precise, Template-Based Output
Agent Skills splits AI capabilities into independent skill folders with on-demand loading and progressive disclosure, cutting token costs by 80% and reducing hallucinations for template-based output.
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·3 min
Multi-Agent Communication & Collaboration in Feishu: A Complete Guide to Configuration and Group Chat Orchestration
Learn how to configure Open Cloud for multi-Agent communication, including session_visibility, agent_to_agent toggle, and whitelist setup, plus Feishu group chat orchestration for AI team collaboration.
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·2 min
v0 Annotations Explained: How Visual Markup Is Revolutionizing AI Code Collaboration
A deep dive into Vercel v0's Annotations feature: click elements, add comments, and batch-submit to AI — transforming visual feedback into efficient AI code collaboration.
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·4 min
The Complete AI Agent Engineering Tech Stack: A Practical Guide to 100x Development Efficiency
Deep dive into the AI agent engineering stack: from Cursor framework, model selection to context engineering and automated review loops — a complete workflow guide to achieving 100x development efficiency.
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·1 min
Andrew Ng Partners with Anthropic to Launch Agent Skills Course: Build Once, Deploy Anywhere
Andrew Ng and Anthropic launch the Agent Skills course, teaching how to package domain expertise into reusable Skill modules for build-once, deploy-anywhere AI Agents.
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·3 min
Palo Alto Networks Tests GPT-5.5: A Quantum Leap in Cybersecurity Workflow Efficiency
Palo Alto Networks shares hands-on GPT-5.5 experience, showcasing major efficiency gains in cybersecurity workflows including breadth-of-thought reasoning, parallel tool calling, and first-pass vulnerability report delivery.
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·3 min
Erste Group's AI Transformation in Practice: How a European Bank Balances Compliance and Innovation
Erste Group's CPO shares real-world AI transformation lessons: connecting customer data from day one, dual-track strategy, serving the neglected 80%, and rapid iteration under European banking regulations.
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Complete Guide to Cursor AI's Seven Wo…
·4 min
Complete Guide to Cursor AI's Seven Work Modes: From Beginner to Power User
In-depth guide to Cursor AI's seven work modes: Plan, Debug, Multitask, Ask, Image, Skills, and MCP Servers, with practical demos and scenario selection tips.
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·3 min
Deep Dive into How Claude Code Works: Prompt Assembly, Permission Control, and the Skills Mechanism
Deep dive into Claude Code internals: stateless model principles, four-layer prompt assembly, Agentic Loop execution, permission control, and reusable Skills workflow templates for agentic engineering.
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·4 min
AI Agent Global Variable Pool & Memory Mechanisms: A Practical Guide to Workflow Node Data Passing
Deep dive into global variable pool design for AI Agent development, covering three memory types, variable scoping, node execution architecture, and placeholder variable replacement workflows.
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·2 min
Claude Has Written 80% of Its Own Code: Anthropic's Internal Data Reveals the State of AI Self-Development
Anthropic's internal data shows Claude writes 80% of its own code, engineers produce 8x more output, and open-ended task success jumped from 26% to 76%. The era of AI developing AI is accelerating.
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·2 min
Anthropic's Internal Data Reveals: Claude Is Accelerating AI Self-Iteration
Anthropic reveals Claude is accelerating AI development, potentially enabling recursive self-improvement. A deep dive into its implications for safety, competition, and humanity's future.
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Deep Dive into Cosmos: A Unified AI Ag…
·3 min
Deep Dive into Cosmos: A Unified AI Agent Platform That Orchestrates Agent Fleets to Boost Development Efficiency
Deep dive into Cosmos, a unified AI agent orchestration platform that integrates scattered AI agents into a coordinated system spanning the full dev lifecycle, achieving 3x throughput gains.
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·1 min
Microsoft Rayfin SDK Released: Building Secure Enterprise Data Applications on Fabric
Microsoft launches Rayfin SDK to help enterprises quickly build and deploy secure data applications on Microsoft Fabric. Learn about its core features and impact on data development democratization.
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·4 min
OpenAI Red Teaming Revealed: How Models Get 'Broken' Before Release
OpenAI reveals a critical pre-release step: dedicated red teams break and stress-test AI models. Learn how red teaming works, industry safety trends, and practical implications for developers.
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·4 min
OpenAI Red Team Testing Revealed: How Models Get 'Broken' Before Release
OpenAI reveals a critical pre-release step: dedicated red teams break and stress-test AI models. Learn how red teaming works, industry safety trends, and practical implications for developers.
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