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Tag: AI systems

  • Slashdot: OpenAI Puzzled as New Models Show Rising Hallucination Rates

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/04/18/2323216/openai-puzzled-as-new-models-show-rising-hallucination-rates Source: Slashdot Title: OpenAI Puzzled as New Models Show Rising Hallucination Rates Feedly Summary: AI Summary and Description: Yes Summary: OpenAI’s recent AI models, o3 and o4-mini, display increased hallucination rates compared to previous iterations. This raises concerns regarding the reliability of such AI systems in practical applications. The findings emphasize the…

  • Simon Willison’s Weblog: Quoting Andrew Ng

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/18/andrew-ng/ Source: Simon Willison’s Weblog Title: Quoting Andrew Ng Feedly Summary: To me, a successful eval meets the following criteria. Say, we currently have system A, and we might tweak it to get a system B: If A works significantly better than B according to a skilled human judge, the eval should give…

  • Simon Willison’s Weblog: Image segmentation using Gemini 2.5

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/18/gemini-image-segmentation/ Source: Simon Willison’s Weblog Title: Image segmentation using Gemini 2.5 Feedly Summary: Max Woolf pointed out this new feature of the Gemini 2.5 series in a comment on Hacker News: One hidden note from Gemini 2.5 Flash when diving deep into the documentation: for image inputs, not only can the model be…

  • Slashdot: AI Support Bot Invents Nonexistent Policy

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/04/18/040257/ai-support-bot-invents-nonexistent-policy?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Support Bot Invents Nonexistent Policy Feedly Summary: AI Summary and Description: Yes Summary: The incident highlights the risks associated with AI-driven support systems, particularly when misinformation is disseminated as fact. This has implications for user trust and can lead to direct financial impact through subscription cancellations. Detailed Description:…

  • Slashdot: ChatGPT Models Are Surprisingly Good At Geoguessing

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    Kurt Seifried
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    Source URL: https://yro.slashdot.org/story/25/04/17/1941258/chatgpt-models-are-surprisingly-good-at-geoguessing?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: ChatGPT Models Are Surprisingly Good At Geoguessing Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a concerning trend related to the use of OpenAI’s new models, o3 and o4-mini, for deducing locations from images, raising potential privacy issues. The models’ advanced image analysis capabilities combined with…

  • Cloud Blog: Cloud CISO Perspectives: 27 security announcements at Next ‘25

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/identity-security/cloud-ciso-perspectives-27-security-announcements-next-25/ Source: Cloud Blog Title: Cloud CISO Perspectives: 27 security announcements at Next ‘25 Feedly Summary: Welcome to the first Cloud CISO Perspectives for April 2025. Today, Google Cloud Security’s Peter Bailey reviews our top 27 security announcements from Next ‘25.As with all Cloud CISO Perspectives, the contents of this newsletter are posted…

  • OpenAI : Our updated Preparedness Framework

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    Kurt Seifried
    in

    Source URL: https://openai.com/index/updating-our-preparedness-framework Source: OpenAI Title: Our updated Preparedness Framework Feedly Summary: Sharing our updated framework for measuring and protecting against severe harm from frontier AI capabilities. AI Summary and Description: Yes Summary: The text references an updated framework aimed at addressing severe risks associated with frontier AI capabilities. This is highly relevant for security…