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Tag: interpret

  • Slashdot: The Downside of a Digital Yes-Man

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    by

    Kurt Seifried
    in

    Source URL: https://tech.slashdot.org/story/25/07/07/1923231/the-downside-of-a-digital-yes-man?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: The Downside of a Digital Yes-Man Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a study by Anthropic researchers on the impact of human feedback on AI behavior, particularly how it can lead to sycophantic responses from AI systems. This is particularly relevant for professionals in…

  • Cloud Blog: Chat with confidence: Unpacking security in Looker Conversational Analytics

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/business-intelligence/understanding-looker-conversational-analytics-security/ Source: Cloud Blog Title: Chat with confidence: Unpacking security in Looker Conversational Analytics Feedly Summary: The landscape of business intelligence is evolving rapidly, with users expecting greater self-service and natural language capabilities, powered by AI. Looker’s Conversational Analytics empowers everyone in your organization to access the wealth of information within your data.…

  • Simon Willison’s Weblog: Supabase MCP can leak your entire SQL database

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jul/6/supabase-mcp-lethal-trifecta/#atom-everything Source: Simon Willison’s Weblog Title: Supabase MCP can leak your entire SQL database Feedly Summary: Supabase MCP can leak your entire SQL database Here’s yet another example of a lethal trifecta attack, where an LLM system combines access to private data, exposure to potentially malicious instructions and a mechanism to communicate data…

  • Simon Willison’s Weblog: awwaiid/gremllm

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jul/4/gremllm/#atom-everything Source: Simon Willison’s Weblog Title: awwaiid/gremllm Feedly Summary: awwaiid/gremllm Delightfully cursed Python library by Brock Wilcox, built on top of LLM: from gremllm import Gremllm counter = Gremllm(“counter") counter.value = 5 counter.increment() print(counter.value) # 6? print(counter.to_roman_numerals()) # VI? You tell your Gremllm what it should be in the constructor, then it uses…

  • Simon Willison’s Weblog: Sandboxed tools in a loop

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jul/3/sandboxed-tools-in-a-loop/#atom-everything Source: Simon Willison’s Weblog Title: Sandboxed tools in a loop Feedly Summary: Something I’ve realized about LLM tool use is that it means that if you can reduce a problem to something that can be solved by an LLM in a sandbox using tools in a loop, you can brute force that…

  • Cloud Blog: A guide to converting ADK agents with MCP to the A2A framework

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    by

    Kurt Seifried
    in

    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…

  • Cloud Blog: How to build Web3 AI agents with Google Cloud

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/build-web3-ai-agents-with-google-cloud/ Source: Cloud Blog Title: How to build Web3 AI agents with Google Cloud Feedly Summary: For over two decades, Google has been a pioneer in AI, conducting groundwork that has shaped the industry. Concurrently, in the Web3 space, Google focuses on empowering the developer community by providing public goods resources like BigQuery…