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Tag: based

  • Slashdot: Microsoft Research: AI Systems Cannot Be Made Fully Secure

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    Kurt Seifried
    in

    Source URL: https://it.slashdot.org/story/25/01/17/1658230/microsoft-research-ai-systems-cannot-be-made-fully-secure?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft Research: AI Systems Cannot Be Made Fully Secure Feedly Summary: AI Summary and Description: Yes Summary: A recent study by Microsoft researchers highlights the inherent security vulnerabilities of AI systems, particularly large language models (LLMs). Despite defensive measures, the researchers assert that AI products will remain susceptible to…

  • Cloud Blog: GKE delivers breakthrough Horizontal Pod Autoscaler performance

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/rearchitected-gke-hpa-improves-scaling-performance/ Source: Cloud Blog Title: GKE delivers breakthrough Horizontal Pod Autoscaler performance Feedly Summary: At Google Cloud, we are committed to providing the fastest and most reliable Kubernetes platform, Google Kubernetes Engine (GKE). Today, we are excited to announce an improved Horizontal Pod Autoscaler (HPA), the Kubernetes feature that automatically updates workload resources…

  • CSA: LLM Dragons: Why DSPM is the Key to AI Security

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    Kurt Seifried
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    Source URL: https://cloudsecurityalliance.org/articles/training-your-llm-dragons-why-dspm-is-the-key-to-ai-security Source: CSA Title: LLM Dragons: Why DSPM is the Key to AI Security Feedly Summary: AI Summary and Description: Yes Summary: The text emphasizes the security risks associated with AI implementations, particularly custom large language models (LLMs) and Microsoft Copilot. It outlines key threats such as data leakage and compliance failures and…

  • The Register: Microsoft eggheads say AI can never be made secure – after testing Redmond’s own products

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/17/microsoft_ai_redteam_infosec_warning/ Source: The Register Title: Microsoft eggheads say AI can never be made secure – after testing Redmond’s own products Feedly Summary: If you want a picture of the future, imagine your infosec team stamping on software forever Microsoft brainiacs who probed the security of more than 100 of the software giant’s own…

  • Hacker News: Bypassing disk encryption on systems with automatic TPM2 unlock

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    Kurt Seifried
    in

    Source URL: https://oddlama.org/blog/bypassing-disk-encryption-with-tpm2-unlock/ Source: Hacker News Title: Bypassing disk encryption on systems with automatic TPM2 unlock Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text delves into the security implications of using Trusted Platform Module (TPM2) for automatic disk unlocking in Linux systems. It uncovers vulnerabilities present in popular implementations (specifically with clevis…

  • Hacker News: Uncovering Real GPU NoC Characteristics: Implications on Interconnect Arch.

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    Kurt Seifried
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    Source URL: https://people.ece.ubc.ca/aamodt/publications/papers/realgpu-noc.micro2024.pdf Source: Hacker News Title: Uncovering Real GPU NoC Characteristics: Implications on Interconnect Arch. Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a detailed examination of the Network-on-Chip (NoC) architecture in modern GPUs, particularly analyzing interconnect latency and bandwidth across different generations of NVIDIA GPUs. It discusses the implications…

  • Unit 42: Threat Brief: CVE-2025-0282 and CVE-2025-0283

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    Kurt Seifried
    in

    Source URL: https://unit42.paloaltonetworks.com/threat-brief-ivanti-cve-2025-0282-cve-2025-0283/ Source: Unit 42 Title: Threat Brief: CVE-2025-0282 and CVE-2025-0283 Feedly Summary: CVE-2025-0282 and CVE-2025-0283 affect multiple Ivanti products. This threat brief covers attack scope, including details from an incident response case. The post Threat Brief: CVE-2025-0282 and CVE-2025-0283 appeared first on Unit 42. AI Summary and Description: Yes **Summary:** The text details…

  • Hacker News: Cosine Similarity Isn’t the Silver Bullet We Thought It Was

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    Kurt Seifried
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    Source URL: https://www.shaped.ai/blog/cosine-similarity-not-the-silver-bullet-we-thought-it-was Source: Hacker News Title: Cosine Similarity Isn’t the Silver Bullet We Thought It Was Feedly Summary: Comments AI Summary and Description: Yes Summary: The study from Netflix and Cornell University critically examines the use of cosine similarity in measuring the similarity of embeddings, revealing potential flaws and arbitrary results that could mislead…

  • Chip Huyen: Common pitfalls when building generative AI applications

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    Kurt Seifried
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    Source URL: https://huyenchip.com//2025/01/16/ai-engineering-pitfalls.html Source: Chip Huyen Title: Common pitfalls when building generative AI applications Feedly Summary: As we’re still in the early days of building applications with foundation models, it’s normal to make mistakes. This is a quick note with examples of some of the most common pitfalls that I’ve seen, both from public case…

  • Simon Willison’s Weblog: Quoting gwern

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/16/gwern/#atom-everything Source: Simon Willison’s Weblog Title: Quoting gwern Feedly Summary: […] much of the point of a model like o1 is not to deploy it, but to generate training data for the next model. Every problem that an o1 solves is now a training data point for an o3 (eg. any o1 session…