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Tag: model

  • Docker: Build a Recipe AI Agent with Koog and Docker

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/build-a-recipe-ai-agent-with-koog-and-docker/ Source: Docker Title: Build a Recipe AI Agent with Koog and Docker Feedly Summary: Hi, I’m Philippe Charriere, a Principal Solutions Architect at Docker. I like to test new tools and see how they fit into real-world workflows. Recently, I set out to see if JetBrains’ Koog framework could run with Docker…

  • Cloud Blog: Google is a Leader in the Gartner® Magic Quadrant for Strategic Cloud Platform Services

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/google-is-a-leader-in-gartner-magic-quadrant-for-scps/ Source: Cloud Blog Title: Google is a Leader in the Gartner® Magic Quadrant for Strategic Cloud Platform Services Feedly Summary: For the eighth consecutive year, Gartner® has named Google a Leader in the Gartner Magic Quadrant™ for Strategic Cloud Platform Services, and this year Google is also now ranked the highest for…

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

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    Kurt Seifried
    in

    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…

  • The Register: Infosec hounds spot prompt injection vuln in Google Gemini apps

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/08/08/infosec_hounds_spot_prompt_injection/ Source: The Register Title: Infosec hounds spot prompt injection vuln in Google Gemini apps Feedly Summary: Not a very smart home: crims could hijack smart-home boiler, open and close powered windows and more. Now fixed Black hat A trio of researchers has disclosed a major prompt injection vulnerability in Google’s Gemini large…

  • Enterprise AI Trends: GPT-5: Strategic Implications

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    Kurt Seifried
    in

    Source URL: https://blog.ainativefirm.com/p/gpt-5-strategic-implications Source: Enterprise AI Trends Title: GPT-5: Strategic Implications Feedly Summary: Not feeling the AGI? That’s not the point. AI Summary and Description: Yes Summary: The text discusses the implications of the release of GPT-5 by OpenAI, particularly focusing on its unification of models under a single umbrella and the strategic advantages gained…

  • The Register: OpenAI’s GPT-5 is here with up to 80% fewer hallucinations

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/08/07/openai_gpt_5/ Source: The Register Title: OpenAI’s GPT-5 is here with up to 80% fewer hallucinations Feedly Summary: That totally makes up for the single-digit benchmark gains, right? OpenAI unveiled its most capable model yet on Thursday with the launch of GPT-5.… AI Summary and Description: Yes Summary: The announcement of OpenAI’s GPT-5 represents…

  • Simon Willison’s Weblog: Previewing GPT-5 at OpenAI’s office

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Aug/7/previewing-gpt-5/#atom-everything Source: Simon Willison’s Weblog Title: Previewing GPT-5 at OpenAI’s office Feedly Summary: A couple of weeks ago I was invited to OpenAI’s headquarters for a “preview event", for which I had to sign both an NDA and a video release waiver. I suspected it might relate to either GPT-5 or the OpenAI…

  • Cisco Talos Blog: AI wrote my code and all I got was this broken prototype

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    Kurt Seifried
    in

    Source URL: https://blog.talosintelligence.com/ai-wrote-my-code-and-all-i-got-was-this-broken-prototype/ Source: Cisco Talos Blog Title: AI wrote my code and all I got was this broken prototype Feedly Summary: Can AI really write safer code? Martin dusts off his software engineer skills to put it it to the test. Find out what AI code failed at, and what it was surprisingly good…