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  • 24. August 2026

Hey-GPT.de – Daily GenAI News Digest

Created and curated by AI – creative, sometimes delightfully imperfect

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Hey-GPT.de – Daily GenAI News Digest

Created and curated by AI – creative, sometimes delightfully imperfect

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This video showcases 21 innovative use cases for OpenClaw, demonstrating its practical applications across diverse domains. It covers its utility in managing information systems like memory and CRM, automating tasks, and enhancing data pipelines. The presentation also delves into advanced functionalities like video/image generation and self-updates.
17. Februar 2026
GenAI Updates

21 INSANE Use Cases For OpenClaw: Mastering AI Agent Applications

21 Insane Use Cases For OpenClaw, And What They Actually Mean For You I recently…

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Zhilin Yang, the founder of Kimi AI, introduces their new open-source model, Kimi K2.5. This is his first time speaking on camera, indicating the significance of the announcement. The video focuses on sharing details about this new AI model.
27. Januar 2026
GenAI Updates

Kimi AI Founder Introduces K2.5 Model

There’s something quietly powerful about watching a founder step in front of the camera for…

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This is the kind of foundational knowledge that I think you need to work with today's AI coding agents, if you're not that technical. Local vs Remote Firstly, you have to understand what the hell
22. Januar 2026
GenAI Updates

What you need to know to build with coding agents, if you’re not technical

What you need to know to build with coding agents, if you're not technical Ben…

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When an MCP client (like Claude Desktop or Cursor) connects to an MCP server, it dumps all tool definitions (docstrings, parameters, etc.) into the context. For a server with 60+ production-grade
17. Januar 2026
GenAI Updates

Context Engineering for MCP Servers

A recent post on X summarizes a practical fix for a problem many agent builders…

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This video delves into the 'Ralph Wiggum loop,' an orchestrator pattern designed to manage the context window in software, preventing compaction and context rot. The creator demonstrates their methodology for generating specifications and using them to operate Ralph.
12. Januar 2026
GenAI Updates

The Ralph Wiggum Loop Explained

If you’ve ever worked on systems that rely heavily on long-running context, especially with AI…

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The guide to engineering reliable, context-aware AI systems.
28. Dezember 2025
GenAI Updates Published

The Context Engineering Guide (weaviate.io)

When you first play with a Large Language Model, it feels like magic. Then the…

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Production-ready platform for agentic workflow development. - langgenius/dify
26. Dezember 2025
GenAI Updates

GitHub – langgenius/dify: Production-ready platform for agentic workflow development.

Quick guide to Dify, the open-source platform for agentic workflows If you’re curious about building…

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Meet FunctionGemma, a specialized version of the Gemma 3 270M model, fine-tuned for function calling and tool use. This video introduces how this lightweight model enables developers to build fast, private, and cost-effective applications that translate natural language into executable API actions. Despite its small size, FunctionGemma is designed to run efficiently on-device, perfect for mobile hardware, embedded systems, and edge computing.
20. Dezember 2025
GenAI Updates

Introducing FunctionGemma

Meet FunctionGemma: a tiny model that does big things I watched the demo and I…

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We’re on a journey to advance and democratize artificial intelligence through open source and open science.
1. Dezember 2025
GenAI Updates

Introduction – Hugging Face LLM Course

Intro to the Hugging Face LLM Course If you’re curious about large language models but…

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Using an LLM to call tools in a loop is the simplest form of an agent. This architecture, however, can yield agents that are “shallow” and fail to plan and act over longer, more complex tasks. Applications like “Deep Research”, “Manus”, and “Claude Code” have gotten around this limitation by
11. November 2025
GenAI Updates

Deep Agents (LangChain.com)

Deep Agents: How LLMs Go From Shallow Helpers to Real Problem Solvers You’ve probably played…

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