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Tag: response

  • Slashdot: Google Temporarily Pauses AI-Powered ‘Homework Helper’ Button in Chrome Over Cheating Concerns

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    by

    Kurt Seifried
    in

    Source URL: https://news.slashdot.org/story/25/09/20/029249/google-temporarily-pauses-ai-powered-homework-helper-button-in-chrome-over-cheating-concerns?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Temporarily Pauses AI-Powered ‘Homework Helper’ Button in Chrome Over Cheating Concerns Feedly Summary: AI Summary and Description: Yes Summary: The recent introduction of a “homework help” button in Google Chrome has sparked significant concern among educators regarding the potential for widespread cheating during online assessments. This development highlights…

  • Simon Willison’s Weblog: Magistral 1.2

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/19/magistral/ Source: Simon Willison’s Weblog Title: Magistral 1.2 Feedly Summary: Mistral quietly released two new models yesterday: Magistral Small 1.2 (Apache 2.0, 96.1 GB on Hugging Face) and Magistral Medium 1.2 (not open weights same as Mistral’s other “medium" models.) Despite being described as "minor updates" to the Magistral 1.1 models these have…

  • AWS News Blog: Qwen models are now available in Amazon Bedrock

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    Kurt Seifried
    in

    Source URL: https://aws.amazon.com/blogs/aws/qwen-models-are-now-available-in-amazon-bedrock/ Source: AWS News Blog Title: Qwen models are now available in Amazon Bedrock Feedly Summary: Amazon Bedrock has expanded its model offerings with the addition of Qwen 3 foundation models enabling users to access and deploy them in a fully managed, serverless environment. These models feature both mixture-of-experts (MoE) and dense architectures…

  • AWS News Blog: DeepSeek-V3.1 model now available in Amazon Bedrock

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    Kurt Seifried
    in

    Source URL: https://aws.amazon.com/blogs/aws/deepseek-v3-1-now-available-in-amazon-bedrock/ Source: AWS News Blog Title: DeepSeek-V3.1 model now available in Amazon Bedrock Feedly Summary: AWS launches DeepSeek-V3.1 as a fully managed models in Amazon Bedrock. DeepSeek-V3.1 is a hybrid open weight model that switches between thinking mode for detailed step-by-step analysis and non-thinking mode for faster responses. AI Summary and Description: Yes…

  • Cisco Talos Blog: Put together an IR playbook — for your personal mental health and wellbeing

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    Kurt Seifried
    in

    Source URL: https://blog.talosintelligence.com/put-together-an-ir-playbook/ Source: Cisco Talos Blog Title: Put together an IR playbook — for your personal mental health and wellbeing Feedly Summary: This edition pulls the curtain aside to show the realities of the VPN Filter campaign. Joe reflects on the struggle to prevent burnout in a world constantly on fire. AI Summary and…

  • Slashdot: China’s DeepSeek Says Its Hit AI Model Cost Just $294,000 To Train

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    by

    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/09/18/1315238/chinas-deepseek-says-its-hit-ai-model-cost-just-294000-to-train?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: China’s DeepSeek Says Its Hit AI Model Cost Just $294,000 To Train Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the cost of training the R1 AI model by Chinese developer DeepSeek, which at $294,000 is significantly lower than costs cited by U.S. competitors. This data,…

  • Microsoft Security Blog: Microsoft Defender delivered 242% return on investment over three years​​

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    by

    Kurt Seifried
    in

    Source URL: https://www.microsoft.com/en-us/security/blog/2025/09/18/microsoft-defender-delivered-242-return-on-investment-over-three-years/ Source: Microsoft Security Blog Title: Microsoft Defender delivered 242% return on investment over three years​​ Feedly Summary: ​The latest 2025 commissioned Forrester Consulting Total Economic Impact™ (TEI) study reveals a 242% ROI over three years for organizations that chose Microsoft Defender. It helps security leaders consolidate tools, reduce overhead, and empower their SecOps teams…