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  • Schneier on Security: Implementing Cryptography in AI Systems

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    by

    Kurt Seifried
    in

    Source URL: https://www.schneier.com/blog/archives/2025/02/implementing-cryptography-in-ai-systems.html Source: Schneier on Security Title: Implementing Cryptography in AI Systems Feedly Summary: Interesting research: “How to Securely Implement Cryptography in Deep Neural Networks.” Abstract: The wide adoption of deep neural networks (DNNs) raises the question of how can we equip them with a desired cryptographic functionality (e.g, to decrypt an encrypted input,…

  • Unit 42: Investigating LLM Jailbreaking of Popular Generative AI Web Products

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    Kurt Seifried
    in

    Source URL: https://unit42.paloaltonetworks.com/jailbreaking-generative-ai-web-products/ Source: Unit 42 Title: Investigating LLM Jailbreaking of Popular Generative AI Web Products Feedly Summary: We discuss vulnerabilities in popular GenAI web products to LLM jailbreaks. Single-turn strategies remain effective, but multi-turn approaches show greater success. The post Investigating LLM Jailbreaking of Popular Generative AI Web Products appeared first on Unit 42.…

  • Slashdot: ChatGPT Reaches 400 Million Weekly Active Users

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/02/20/2135238/chatgpt-reaches-400-million-weekly-active-users?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: ChatGPT Reaches 400 Million Weekly Active Users Feedly Summary: AI Summary and Description: Yes Summary: The text highlights ChatGPT’s significant growth in active user count, reaching over 400 million weekly users, and discusses OpenAI’s plans for simplifying the user experience, alongside the upcoming releases of advanced models like GPT-4.5…

  • Hacker News: The most underreported story in AI is that scaling has failed to produce AGI

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    by

    Kurt Seifried
    in

    Source URL: https://fortune.com/2025/02/19/generative-ai-scaling-agi-deep-learning/ Source: Hacker News Title: The most underreported story in AI is that scaling has failed to produce AGI Feedly Summary: Comments AI Summary and Description: Yes Summary: The commentary discusses the limitations of scaling in generative AI, addressing concerns that merely increasing computational resources does not equate to genuine intelligence. It highlights…

  • Cloud Blog: Unlock Inference-as-a-Service with Cloud Run and Vertex AI

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/improve-your-gen-ai-app-velocity-with-inference-as-a-service/ Source: Cloud Blog Title: Unlock Inference-as-a-Service with Cloud Run and Vertex AI Feedly Summary: It’s no secret that large language models (LLMs) and generative AI have become a key part of the application landscape. But most foundational LLMs are consumed as a service, meaning they’re hosted and served by a third party…

  • Cloud Blog: Announcing quantum-safe digital signatures in Cloud KMS

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/identity-security/announcing-quantum-safe-digital-signatures-in-cloud-kms/ Source: Cloud Blog Title: Announcing quantum-safe digital signatures in Cloud KMS Feedly Summary: The continued advancement of experimental quantum computing has raised concerns about the security of many of the world’s widely-used public-key cryptography systems. Crucially, there exists the potential for sufficiently large, cryptographically-relevant quantum computers to break these algorithms. This potential…

  • Hacker News: AI cracks superbug problem in two days that took scientists years

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    by

    Kurt Seifried
    in

    Source URL: https://www.bbc.co.uk/news/articles/clyz6e9edy3o Source: Hacker News Title: AI cracks superbug problem in two days that took scientists years Feedly Summary: Comments AI Summary and Description: Yes Summary: A new AI tool developed by Google significantly accelerated research by microbiologist Professor José R Penadés and his team at Imperial College London, solving a complex problem related…