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Tag: Engineer

  • Docker: How to Build, Run, and Package AI Models Locally with Docker Model Runner

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/how-to-build-run-and-package-ai-models-locally-with-docker-model-runner/ Source: Docker Title: How to Build, Run, and Package AI Models Locally with Docker Model Runner Feedly Summary: Introduction As a Senior DevOps Engineer and Docker Captain, I’ve helped build AI systems for everything from retail personalization to medical imaging. One truth stands out: AI capabilities are core to modern infrastructure. This…

  • Simon Willison’s Weblog: AI-assisted coding for teams that can’t get away with vibes

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/10/ai-assisted-coding/#atom-everything Source: Simon Willison’s Weblog Title: AI-assisted coding for teams that can’t get away with vibes Feedly Summary: AI-assisted coding for teams that can’t get away with vibes This excellent piece by Atharva Raykar offers a bunch of astute observations on AI-assisted development that I haven’t seen written down elsewhere. Building with AI…

  • CSA: Prevent Downtime from Expired Secrets

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    Kurt Seifried
    in

    Source URL: https://aembit.io/blog/how-to-stop-expired-secrets-from-disrupting-your-operations/ Source: CSA Title: Prevent Downtime from Expired Secrets Feedly Summary: AI Summary and Description: Yes Summary: The text delves into the crucial issue of managing non-human identities (NHIs) and their authentication credentials within cloud-native environments, emphasizing the risks and operational burdens of expired credentials. It presents real-world examples of service disruptions due…

  • Cloud Blog: Unlock 66% better price-performance with new M4 VMs for memory-intensive workloads

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/m4-vms-are-designed-for-memory-intensive-workloads-like-sap/ Source: Cloud Blog Title: Unlock 66% better price-performance with new M4 VMs for memory-intensive workloads Feedly Summary: Today, we’re excited to announce the general availability of the memory-optimized machine series: Compute Engine M4, our most performant memory-optimized VM with under 6TB of memory.  The M4 family is designed for workloads like SAP…

  • Unit 42: Roles Here? Roles There? Roles Anywhere: Exploring the Security of AWS IAM Roles Anywhere

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    Kurt Seifried
    in

    Source URL: https://unit42.paloaltonetworks.com/aws-roles-anywhere/ Source: Unit 42 Title: Roles Here? Roles There? Roles Anywhere: Exploring the Security of AWS IAM Roles Anywhere Feedly Summary: This examination of the Amazon Web Services (AWS) Roles Anywhere service looks at potential risks, analyzed from both defender and attacker perspectives. The post Roles Here? Roles There? Roles Anywhere: Exploring the…

  • Slashdot: After ‘AI-First’ Promise, Duolingo CEO Admits ‘I Did Not Expect the Blowback’

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    Kurt Seifried
    in

    Source URL: https://it.slashdot.org/story/25/06/08/185209/after-ai-first-promise-duolingo-ceo-admits-i-did-not-expect-the-blowback?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: After ‘AI-First’ Promise, Duolingo CEO Admits ‘I Did Not Expect the Blowback’ Feedly Summary: AI Summary and Description: Yes **Summary:** Duolingo’s CEO, Luis von Ahn, emphasizes a shift towards an “AI-first” strategy amid concerns about job replacement by technology. He reassures that this approach focuses on automating repetitive tasks,…

  • Simon Willison’s Weblog: Comma v0.1 1T and 2T – 7B LLMs trained on openly licensed text

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/7/comma/#atom-everything Source: Simon Willison’s Weblog Title: Comma v0.1 1T and 2T – 7B LLMs trained on openly licensed text Feedly Summary: It’s been a long time coming, but we finally have some promising LLMs to try out which are trained entirely on openly licensed text! EleutherAI released the Pile four and a half…

  • Transformer Circuits Thread: Circuits Updates

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    Kurt Seifried
    in

    Source URL: https://transformer-circuits.pub/2025/april-update/index.html Source: Transformer Circuits Thread Title: Circuits Updates Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses emerging research and methodologies in the field of machine learning interpretability, specifically focusing on large language models (LLMs). It examines the mechanisms by which these models respond to harmful requests (like making bomb instructions)…

  • METR updates – METR: Recent Frontier Models Are Reward Hacking

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    Kurt Seifried
    in

    Source URL: https://metr.org/blog/2025-06-05-recent-reward-hacking/ Source: METR updates – METR Title: Recent Frontier Models Are Reward Hacking Feedly Summary: AI Summary and Description: Yes **Summary:** The provided text examines the complex phenomenon of “reward hacking” in AI systems, particularly focusing on modern language models. It describes how AI entities can exploit their environments to achieve high scores…