Tag: json
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Shabie’s blog: Let the kaleidoscope turn
Source URL: https://shabie.github.io/2025/07/31/let-the-kaleidoscope-turn.html Source: Shabie’s blog Title: Let the kaleidoscope turn Feedly Summary: “Any good classifier knows that in the process of classification, information about variety is lost while information about similarities is gained.” – Joseph Tainter AI Summary and Description: Yes Summary: The text discusses the limitations of traditional retrieval-augmented generation (RAG) systems in…
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Simon Willison’s Weblog: Reverse engineering some updates to Claude
Source URL: https://simonwillison.net/2025/Jul/31/updates-to-claude/#atom-everything Source: Simon Willison’s Weblog Title: Reverse engineering some updates to Claude Feedly Summary: Anthropic released two major new features for their consumer-facing Claude apps in the past couple of days. Sadly, they don’t do a very good job of updating the release notes for those apps – neither of these releases came…
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Cloud Blog: BigQuery meets ADK & MCP: Accelerate agent development with BigQuery’s new first-party toolset
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/bigquery-meets-google-adk-and-mcp/ Source: Cloud Blog Title: BigQuery meets ADK & MCP: Accelerate agent development with BigQuery’s new first-party toolset Feedly Summary: As the excitement around AI agents reaches enterprise customers, a critical question emerges: How can we empower these agents to securely and intelligently interact with enterprise data systems like Google Cloud BigQuery? Currently,…
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Scott Logic: Extracting Data From AI Models: A Tale of Three Approaches
Source URL: https://blog.scottlogic.com/2025/07/23/extracting-data-from-ai-models-a-tale-of-three-approaches.html Source: Scott Logic Title: Extracting Data From AI Models: A Tale of Three Approaches Feedly Summary: After building a React application with three AI assistants, our developer discovered that extracting your conversation history afterwards is like trying to collect debts in a frontier town: ChatGPT eventually pays up after some serious negotiation,…
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Simon Willison’s Weblog: Using GitHub Spark to reverse engineer GitHub Spark
Source URL: https://simonwillison.net/2025/Jul/24/github-spark/ Source: Simon Willison’s Weblog Title: Using GitHub Spark to reverse engineer GitHub Spark Feedly Summary: GitHub Spark was released in public preview yesterday. It’s GitHub’s implementation of the prompt-to-app pattern also seen in products like Claude Artifacts, Lovable, Vercel v0, Val Town Townie and Fly.io’s Phoenix New. I wrote about Spark back…
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Simon Willison’s Weblog: Introducing OSS Rebuild: Open Source, Rebuilt to Last
Source URL: https://simonwillison.net/2025/Jul/23/oss-rebuild/ Source: Simon Willison’s Weblog Title: Introducing OSS Rebuild: Open Source, Rebuilt to Last Feedly Summary: Introducing OSS Rebuild: Open Source, Rebuilt to Last Major news on the Reproducible Builds front: the Google Security team have announced OSS Rebuild, their project to provide build attestations for open source packages released through the NPM,…
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Cloud Blog: Build with more flexibility: New open models arrive in the Vertex AI Model Garden
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deepseek-r1-is-available-for-everyone-in-vertex-ai-model-garden/ Source: Cloud Blog Title: Build with more flexibility: New open models arrive in the Vertex AI Model Garden Feedly Summary: In our ongoing effort to provide businesses with the flexibility and choice needed to build innovative AI applications, we are expanding the catalog of open models available as Model-as-a-Service (MaaS) offerings in…
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Cloud Blog: Implementing High-Performance LLM Serving on GKE: An Inference Gateway Walkthrough
Source URL: https://cloud.google.com/blog/topics/developers-practitioners/implementing-high-performance-llm-serving-on-gke-an-inference-gateway-walkthrough/ Source: Cloud Blog Title: Implementing High-Performance LLM Serving on GKE: An Inference Gateway Walkthrough Feedly Summary: The excitement around open Large Language Models like Gemma, Llama, Mistral, and Qwen is evident, but developers quickly hit a wall. How do you deploy them effectively at scale? Traditional load balancing algorithms fall short, as…
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Slashdot: Linux Foundation Adopts A2A Protocol To Help Solve One of AI’s Most Pressing Challenges
Source URL: https://linux.slashdot.org/story/25/07/08/2122224/linux-foundation-adopts-a2a-protocol-to-help-solve-one-of-ais-most-pressing-challenges?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Linux Foundation Adopts A2A Protocol To Help Solve One of AI’s Most Pressing Challenges Feedly Summary: AI Summary and Description: Yes Summary: The Linux Foundation announced the hosting of the Agent2Agent (A2A) protocol, originally developed by Google. This open standard aims to secure communication between AI agents, providing a…
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Cloud Blog: A guide to converting ADK agents with MCP to the A2A framework
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/unlock-ai-agent-collaboration-convert-adk-agents-for-a2a/ Source: Cloud Blog Title: A guide to converting ADK agents with MCP to the A2A framework Feedly Summary: The evolution of AI agents has led to powerful, specialized models capable of complex tasks. The Google Agent Development Kit (ADK) – a toolkit designed to simplify the construction and management of language model-based…