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Google Agent2Agent + (MCP to Tool) in Multi-Agent AI

April 14, 2025 coffee
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AI, Education, Quantum and U

Google's Agent-to-Agent (A2A) protocol works in harmony with the Model Context Protocol (MCP) to create powerful multi-agent AI systems. While MCP connects AI models to external data and tools through client-server architecture, A2A enables complex multi-turn dialogues between intelligent agents. The new Agent Development Kit (ADK) brings these technologies together, with cross-ecosystem compatibility across 50+ partner companies. This architecture allows agents to communicate autonomously, making independent decisions while maintaining seamless integration with existing systems through agent cards for dynamic discovery.

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Everything Announced at Google Cloud Next in 12 Minutes (Opportunity for Software Engineer in SEA)

April 12, 2025 coffee
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AI, Education, NVIDIA, Quantum and U, SEA

Google Cloud Next '25 unveiled a suite of transformative technologies spanning infrastructure, AI, and productivity. Highlights include the 7th-gen Ironwood...

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Genspark’s Super Agent – AI New Platform From China

April 7, 2025 coffee
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AI, Education, SEA, Uncategorized

Genspark's Super Agent offers game-changing capabilities to the world, especially for Southeast Asian SMEs. This AI-powered system combines nine language models with 80+ specialized tools to handle complex tasks autonomously. From making customer service calls in multiple regional languages to creating localized marketing content and streamlining operations, Super Agent helps resource-constrained businesses compete effectively

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机器人如何获得训练数据 | Pieter Abbeel GTC最新演讲解析 (东南亚可以如何受益)

April 6, 2025 coffee
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AI, Quantum and U, SEA, Uncategorized

# 机器人训练数据获取与东南亚发展机遇 机器人训练数据主要通过远程操作、手部动作跟踪、仿真环境和模仿学习等方式获取。彼得·阿比尔提出的数据金字塔和Body Transformer架构可显著提高学习效率。 东南亚可通过劳动密集型产业自动化、发展适合当地环境的机器人解决方案、建立区域数据中心等方式受益。采用模块化硬件设计和开源仿真工具可降低成本，同时在旅游服务、海洋资源管理和传统工艺数字化等领域建立特色应用。

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Vibe Coding + Vibe Design = Your Ultimate Brand? (with Code inside)

April 4, 2025 coffee
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AI, Education, Quantum and U, Uncategorized

Vibe Coding vs. Vibe Design: A Powerful Evolution Vibe Coding generates functional code through natural language, while Vibe Design extends this approach to emotional, branding, and user experience aspects. Where Vibe Coding focuses on "what a product does" (technical implementation), Vibe Design addresses "how it makes users feel" (emotional connection). By combining both approaches, creators can build products that are not only functional but also emotionally resonant and market-differentiated.

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n8n AI Agent与MCP使用情境解析

April 3, 2025 coffee
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AI, Education, Quantum and U, Uncategorized

# AI技术三驾马车的融合 在AI技术的前沿，LLM、AI Agent和MCP形成了强大的组合。LLM如超级百科全书，处理语言理解与生成；AI Agent如智能助手，具备执行特定任务的决策能力；而MCP则如同国际通用语言，确保不同AI系统间的无缝沟通。 这三者的结合不仅提高了AI系统的灵活性和扩展性，还大幅降低了开发复杂度。通过这种架构，AI从单纯的语言工具进化为真正能理解、规划并执行复杂任务的智能体系，为各行业带来前所未有的自动化可能。

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Beyond LLMs: New AI Foundation Model

March 25, 2025 coffee
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Uncategorized

Adaptable World Models represent AI's evolution beyond language processing, creating systems that understand actions across contexts. By encoding abstract representations of actions in a continuous latent space, these models can transfer learned behaviors between different scenarios without extensive retraining.

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N8N 最强AI工作流平台：免费部署、连接1000+外部应用

March 25, 2025 coffee
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AI, Education, Quantum and U

# N8N工作流平台摘要 N8N是一款强大的开源自动化工作流平台，具有显著优势：完全开源可自托管、支持超过1000个第三方应用集成、允许JavaScript和Python代码节点自定义功能、拥有活跃的社区节点生态系统，且自托管完全免费无使用限制。与Coze、Dify、Zapier等平台相比，N8N提供更开放的生态系统和更灵活的功能扩展，特别适合需要复杂自动化流程和多系统集成的用户。

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Sonnet 3.7 “THINK” Tool: MORE than a Scratchpad

March 24, 2025 coffee
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AI, Education, Quantum and U, Quantum Mindset Programme

Claude 3.7 Sonnet's new THINK tool creates a dedicated space for structured reasoning during complex tasks. More than a simple scratchpad, it allows Claude to pause, reflect, and verify policy compliance when managing multi-step processes. When paired with optimized prompts providing reasoning templates, it improves performance by over 50% on tasks requiring strict rule adherence, like booking systems or policy-driven customer service.

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AI如何预判人类动作 – Think-Then-React (TTR)框架

March 24, 2025 coffee
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AI, Education, Quantum and U

# Think-Then-React：AI预判人类动作的新范式 人民大学高瓴团队开发的Think-Then-React (TTR)框架（ICLR 2025）采用"先思考再反应"的创新方法，显著提升了AI预判人类动作意图的能力。该框架通过解耦空间-位姿编码和运动-文本联合预训练，使AI能够理解复杂的人类动作，并生成恰当反应。实验表明，TTR在各项指标上远超现有方法，FID仅为1.942。该框架有望应用于智能陪伴机器人、虚拟社交助手和人机交互游戏等领域，为具身智能研究开辟新方向。

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