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Docker: Building AI Agents with Docker MCP Toolkit: A Developer’s Real-World Setup

Aug 19, 2025

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Source URL: https://www.docker.com/blog/docker-mcp-ai-agent-developer-setup/ Source: Docker Title: Building AI Agents with Docker MCP Toolkit: A Developer’s Real-World Setup Feedly Summary: Building AI agents in the real world often involves more than just making model calls — it requires integrating with external tools, handling complex workflows, and ensuring the solution can scale in production. In this post,…

Simon Willison’s Weblog: LLM 0.27, the annotated release notes: GPT-5 and improved tool calling

Aug 12, 2025

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Kurt Seifried

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Source URL: https://simonwillison.net/2025/Aug/11/llm-027/ Source: Simon Willison’s Weblog Title: LLM 0.27, the annotated release notes: GPT-5 and improved tool calling Feedly Summary: I shipped LLM 0.27 today, adding support for the new GPT-5 family of models from OpenAI plus a flurry of improvements to the tool calling features introduced in LLM 0.26. Here are the annotated…

Cloud Blog: Looker debuts MCP Server to broaden AI developer access to data

Aug 8, 2025

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Kurt Seifried

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Source URL: https://cloud.google.com/blog/products/business-intelligence/introducing-looker-mcp-server/ Source: Cloud Blog Title: Looker debuts MCP Server to broaden AI developer access to data Feedly Summary: As companies integrate AI into their workflows, connecting new tools to their existing data while ensuring consistent security and accuracy becomes increasingly important. We’re introducing Looker Model Context Protocol (MCP) Server, an integration in the…

Slashdot: Google’s New Security Project ‘OSS Rebuild’ Tackles Package Supply Chain Verification

Jul 28, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://news.slashdot.org/story/25/07/28/0254233/googles-new-security-project-oss-rebuild-tackles-package-supply-chain-verification?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google’s New Security Project ‘OSS Rebuild’ Tackles Package Supply Chain Verification Feedly Summary: AI Summary and Description: Yes Summary: Google’s Open Source Security Team has launched a project called OSS Rebuild aimed at enhancing security and transparency in open-source package ecosystems. This initiative focuses on automating the reconstruction of…

Tomasz Tunguz: Hidden Technical Debt in AI

Jul 17, 2025

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Kurt Seifried

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Source URL: https://www.tomtunguz.com/hidden-technical-debt-in-ai/ Source: Tomasz Tunguz Title: Hidden Technical Debt in AI Feedly Summary: That little black box in the middle is machine learning code. I remember reading Google’s 2015 Hidden Technical Debt in ML paper & thinking how little of a machine learning application was actual machine learning. The vast majority was infrastructure, data…

Docker: Powering Local AI Together: Docker Model Runner on Hugging Face

Jul 16, 2025

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Kurt Seifried

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Source URL: https://www.docker.com/blog/docker-model-runner-on-hugging-face/ Source: Docker Title: Powering Local AI Together: Docker Model Runner on Hugging Face Feedly Summary: At Docker, we always believe in the power of community and collaboration. It reminds me of what Robert Axelrod said in The Evolution of Cooperation: “The key to doing well lies not in overcoming others, but in…

Docker: Docker MCP Gateway: Open Source, Secure Infrastructure for Agentic AI

Jul 9, 2025

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Kurt Seifried

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Source URL: https://www.docker.com/blog/docker-mcp-gateway-secure-infrastructure-for-agentic-ai/ Source: Docker Title: Docker MCP Gateway: Open Source, Secure Infrastructure for Agentic AI Feedly Summary: Since releasing the Docker MCP Toolkit, we’ve seen strong community adoption, including steady growth in MCP server usage and over 1 million pulls from the Docker MCP Catalog. With the community, we’re laying the groundwork by standardizing…

Tomasz Tunguz: The Surprising Input-to-Output Ratio of AI Models

Jul 8, 2025

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Kurt Seifried

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Source URL: https://www.tomtunguz.com/input-output-ratio/ Source: Tomasz Tunguz Title: The Surprising Input-to-Output Ratio of AI Models Feedly Summary: When you query an AI model, it gathers relevant information to generate an answer. For a while, I’ve wondered : how much information does the model need to answer a question? I thought the output would be larger, however…

AWS News Blog: Build the highest resilience apps with multi-Region strong consistency in Amazon DynamoDB global tables

Jun 30, 2025

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Kurt Seifried

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Source URL: https://aws.amazon.com/blogs/aws/build-the-highest-resilience-apps-with-multi-region-strong-consistency-in-amazon-dynamodb-global-tables/ Source: AWS News Blog Title: Build the highest resilience apps with multi-Region strong consistency in Amazon DynamoDB global tables Feedly Summary: Amazon DynamoDB now offers multi-Region strong consistency capability for global tables, providing the highest level of application resilience and enabling your applications to be always available. AI Summary and Description: Yes…

Docker: Building an Easy Private AI Assistant with Goose and Docker Model Runner

Jun 27, 2025

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Kurt Seifried

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Source URL: https://www.docker.com/blog/building-an-ai-assistant-with-goose-and-docker-model-runner/ Source: Docker Title: Building an Easy Private AI Assistant with Goose and Docker Model Runner Feedly Summary: Goose is an innovative CLI assistant designed to automate development tasks using AI models. Docker Model Runner simplifies deploying AI models locally with Docker. Combining these technologies creates a powerful local environment with advanced AI…

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