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Tag: structured

  • Docker: Prototyping an AI Tutor with Docker Model Runner

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    by

    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/how-to-build-an-ai-tutor-with-model-runner/ Source: Docker Title: Prototyping an AI Tutor with Docker Model Runner Feedly Summary: Every developer remembers their first docker run hello-world. The mix of excitement and wonder as that simple command pulls an image, creates a container, and displays a friendly message. But what if AI could make that experience even better?…

  • Slashdot: Meta Freezes AI Hiring

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    by

    Kurt Seifried
    in

    Source URL: https://tech.slashdot.org/story/25/08/21/0227208/meta-freezes-ai-hiring?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Meta Freezes AI Hiring Feedly Summary: AI Summary and Description: Yes Summary: Meta’s pause on hiring in its artificial intelligence division highlights a significant shift in their organizational strategy as they aim to refine their approach to developing superintelligence. This is particularly relevant for professionals in AI and organizational…

  • The Register: Microsoft stays mum about M365 Copilot on-demand security bypass

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    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/08/20/microsoft_mum_about_m365_copilot/ Source: The Register Title: Microsoft stays mum about M365 Copilot on-demand security bypass Feedly Summary: Redmond doesn’t bother informing customers about some security fixes Microsoft has chosen not to tell customers about a recently patched vulnerability in M365 Copilot.… AI Summary and Description: Yes Summary: The text highlights a concerning practice by…

  • Schneier on Security: Subverting AIOps Systems Through Poisoned Input Data

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    Kurt Seifried
    in

    Source URL: https://www.schneier.com/blog/archives/2025/08/subverting-aiops-systems-through-poisoned-input-data.html Source: Schneier on Security Title: Subverting AIOps Systems Through Poisoned Input Data Feedly Summary: In this input integrity attack against an AI system, researchers were able to fool AIOps tools: AIOps refers to the use of LLM-based agents to gather and analyze application telemetry, including system logs, performance metrics, traces, and alerts,…

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

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    by

    Kurt Seifried
    in

    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,…

  • Shabie’s blog: Agents are search over action space

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    by

    Kurt Seifried
    in

    Source URL: https://shabie.github.io/2025/08/18/agents-are-search-over-action-space.html Source: Shabie’s blog Title: Agents are search over action space Feedly Summary: It’s no secret that today’s LLM-based agents are unreliable. This makes them a gamble for most critical tasks, so where can they be safely applied? The answer lies in finding asymmetry: we should use them in domains where the downside…

  • Docker: A practitioner’s view on how Docker enables security by default and makes developers work better

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    by

    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/how-docker-enables-security-by-default/ Source: Docker Title: A practitioner’s view on how Docker enables security by default and makes developers work better Feedly Summary: This blog post was written by Docker Captains, experienced professionals recognized for their expertise with Docker. It shares their firsthand, real-world experiences using Docker in their own work or within the organizations…