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Tag: protocols

  • Microsoft Security Blog: Securing generative AI models on Azure AI Foundry

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    Kurt Seifried
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    Source URL: https://www.microsoft.com/en-us/security/blog/2025/03/04/securing-generative-ai-models-on-azure-ai-foundry/ Source: Microsoft Security Blog Title: Securing generative AI models on Azure AI Foundry Feedly Summary: Discover how Microsoft secures AI models on Azure AI Foundry, ensuring robust security and trustworthy deployments for your AI systems. The post Securing generative AI models on Azure AI Foundry appeared first on Microsoft Security Blog. AI…

  • The Register: Microsoft: So what if costs 4X as much to run Windows Server in AWS, Alibaba, and Google?

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/03/04/microsoft_blasts_uk_market_regulator/ Source: The Register Title: Microsoft: So what if costs 4X as much to run Windows Server in AWS, Alibaba, and Google? Feedly Summary: That’s competition, that’s protecting our IP, Redmond’s lawyers tell UK competition regulator For AWS and Google to urge the UK competition regulator to “intervene and constrain the price" that…

  • Slashdot: Researchers Find Less-Educated Areas Adopting AI Writing Tools Faster

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    Kurt Seifried
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    Source URL: https://news.slashdot.org/story/25/03/03/2327219/researchers-find-less-educated-areas-adopting-ai-writing-tools-faster Source: Slashdot Title: Researchers Find Less-Educated Areas Adopting AI Writing Tools Faster Feedly Summary: AI Summary and Description: Yes Summary: Research from Stanford University indicates a growing reliance on AI language models (LLMs) across various sectors, significantly influencing professional communications. Notably, rural areas and populations with lower educational attainment are adopting these…

  • Slashdot: Google’s Sergey Brin Urges Workers To the Office at Least Every Weekday

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/02/28/1845202/googles-sergey-brin-urges-workers-to-the-office-at-least-every-weekday?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google’s Sergey Brin Urges Workers To the Office at Least Every Weekday Feedly Summary: AI Summary and Description: Yes Summary: Sergey Brin, co-founder of Google, has issued a memo emphasizing the need for increased in-office productivity from employees working on the Gemini AI project. He highlighted the urgency of…

  • Slashdot: Viral Video Shows AIs Conversing In Their Own Language

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/02/28/0058237/viral-video-shows-ais-conversing-in-their-own-language?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Viral Video Shows AIs Conversing In Their Own Language Feedly Summary: AI Summary and Description: Yes Summary: The text describes a viral video showcasing a conversation between two artificial intelligence agents, highlighting their ability to switch to a more efficient communication method when they recognize a lack of human…

  • Slashdot: OpenAI Rolls Out GPT-4.5

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/02/27/2022254/openai-rolls-out-gpt-45?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI Rolls Out GPT-4.5 Feedly Summary: AI Summary and Description: Yes Summary: OpenAI’s release of the GPT-4.5 model represents a significant enhancement in AI capabilities, particularly in natural language processing and coding efficiency. This model addresses prior issues with accuracy, aiming to reduce fabricated responses, which holds great relevance…

  • Schneier on Security: “Emergent Misalignment” in LLMs

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    Kurt Seifried
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    Source URL: https://www.schneier.com/blog/archives/2025/02/emergent-misalignment-in-llms.html Source: Schneier on Security Title: “Emergent Misalignment” in LLMs Feedly Summary: Interesting research: “Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs“: Abstract: We present a surprising result regarding LLMs and alignment. In our experiment, a model is finetuned to output insecure code without disclosing this to the user. The resulting model…