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Tag: engineering

  • Docker: Everyone’s a Snowflake: Designing Hardened Image Processes for the Real World

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/hardened-image-best-practices/ Source: Docker Title: Everyone’s a Snowflake: Designing Hardened Image Processes for the Real World Feedly Summary: Hardened container images and distroless software are the new hotness as startups and incumbents alike pile into the fast-growing market. In theory, hardened images provide not only a smaller attack surface but operational simplicity. In practice,…

  • OpenAI : Estimating worst case frontier risks of open weight LLMs

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    Kurt Seifried
    in

    Source URL: https://openai.com/index/estimating-worst-case-frontier-risks-of-open-weight-llms Source: OpenAI Title: Estimating worst case frontier risks of open weight LLMs Feedly Summary: In this paper, we study the worst-case frontier risks of releasing gpt-oss. We introduce malicious fine-tuning (MFT), where we attempt to elicit maximum capabilities by fine-tuning gpt-oss to be as capable as possible in two domains: biology and…

  • Embrace The Red: Turning ChatGPT Codex Into A ZombAI Agent

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    Kurt Seifried
    in

    Source URL: https://embracethered.com/blog/posts/2025/chatgpt-codex-remote-control-zombai/ Source: Embrace The Red Title: Turning ChatGPT Codex Into A ZombAI Agent Feedly Summary: Today we cover ChatGPT Codex as part of the Month of AI Bugs series. ChatGPT Codex is a cloud-based software engineering agent that answers codebase questions, executes code, and drafts pull requests. In particular, this post will demonstrate…

  • Shabie’s blog: Let the kaleidoscope turn

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    Kurt Seifried
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    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…

  • Simon Willison’s Weblog: Reverse engineering some updates to Claude

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    Kurt Seifried
    in

    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…

  • Anton on Security – Medium: Google Cloud Security Threat Horizons Report #12 Is Out!

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    Kurt Seifried
    in

    Source URL: https://medium.com/anton-on-security/google-cloud-security-threat-horizons-report-12-is-out-6e84e700467f?source=rss—-8e8c3ed26c4c—4 Source: Anton on Security – Medium Title: Google Cloud Security Threat Horizons Report #12 Is Out! Feedly Summary: AI Summary and Description: Yes Summary: The text discusses insights from Google Cloud’s Threat Horizons Report #12, focusing on key security vulnerabilities in cloud environments. It highlights the persistent exploitation of issues like credential…

  • Cloud Blog: A deep dive into code reviews with Gemini Code Assist in GitHub

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gemini-code-assist-and-github-ai-code-reviews/ Source: Cloud Blog Title: A deep dive into code reviews with Gemini Code Assist in GitHub Feedly Summary: Imagine a code review process that doesn’t slow you down. Instead of a queue of pending pull requests, you have an intelligent assistant that provides a near-instant, comprehensive summary of every change. It flags…

  • Cisco Talos Blog: Using LLMs as a reverse engineering sidekick

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    Kurt Seifried
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    Source URL: https://blog.talosintelligence.com/using-llm-as-a-reverse-engineering-sidekick/ Source: Cisco Talos Blog Title: Using LLMs as a reverse engineering sidekick Feedly Summary: LLMs may serve as powerful assistants to malware analysts to streamline workflows, enhance efficiency, and provide actionable insights during malware analysis.  AI Summary and Description: Yes **Summary:** The text provides an in-depth analysis of using Large Language Models…