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  • The Register: Peep show: 40K IoT cameras worldwide stream secrets to anyone with a browser

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    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/06/10/40000_iot_cameras_exposed/ Source: The Register Title: Peep show: 40K IoT cameras worldwide stream secrets to anyone with a browser Feedly Summary: Majority of exposures located in the US, including datacenters, healthcare facilities, factories, and more Security researchers managed to access the live feeds of 40,000 internet-connected cameras worldwide and they may have only scratched…

  • Slashdot: Meta Is Creating a New AI Lab To Pursue ‘Superintelligence’

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    by

    Kurt Seifried
    in

    Source URL: https://tech.slashdot.org/story/25/06/10/0738216/meta-is-creating-a-new-ai-lab-to-pursue-superintelligence?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Meta Is Creating a New AI Lab To Pursue ‘Superintelligence’ Feedly Summary: AI Summary and Description: Yes **Summary:** Meta is launching a new AI research lab focused on achieving “superintelligence,” led by industry figures including Alexandr Wang from Scale AI, as part of its effort to enhance competitive positioning…

  • Slashdot: Apple Researchers Challenge AI Reasoning Claims With Controlled Puzzle Tests

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    by

    Kurt Seifried
    in

    Source URL: https://apple.slashdot.org/story/25/06/09/1151210/apple-researchers-challenge-ai-reasoning-claims-with-controlled-puzzle-tests?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Apple Researchers Challenge AI Reasoning Claims With Controlled Puzzle Tests Feedly Summary: AI Summary and Description: Yes Summary: Apple researchers have discovered that advanced reasoning AI models, including OpenAI’s o3-mini and Gemini, exhibit a performance collapse at higher complexity levels in puzzle-solving tasks. This finding challenges existing assumptions about…

  • CSA: Case Study: Inadequate Configuration & Change Control

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    by

    Kurt Seifried
    in

    Source URL: https://cloudsecurityalliance.org/articles/the-2024-football-australia-data-breach-a-case-of-misconfiguration-and-inadequate-change-control Source: CSA Title: Case Study: Inadequate Configuration & Change Control Feedly Summary: AI Summary and Description: Yes Summary: The text provides an in-depth analysis of a significant security breach involving Football Australia, highlighting key vulnerabilities related to misconfigurations and insecure software development practices in cloud computing contexts. It reveals critical lessons about…

  • Schneier on Security: New Way to Track Covertly Android Users

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    Kurt Seifried
    in

    Source URL: https://www.schneier.com/blog/archives/2025/06/new-way-to-track-covertly-android-users.html Source: Schneier on Security Title: New Way to Track Covertly Android Users Feedly Summary: Researchers have discovered a new way to covertly track Android users. Both Meta and Yandex were using it, but have suddenly stopped now that they have been caught. The details are interesting, and worth reading in detail: >Tracking…

  • Slashdot: Washington Post’s Privacy Tip: Stop Using Chrome, Delete Meta’s Apps (and Yandex)

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    by

    Kurt Seifried
    in

    Source URL: https://tech.slashdot.org/story/25/06/07/035249/washington-posts-privacy-tip-stop-using-chrome-delete-metas-apps-and-yandex?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Washington Post’s Privacy Tip: Stop Using Chrome, Delete Meta’s Apps (and Yandex) Feedly Summary: AI Summary and Description: Yes Summary: The text reveals significant privacy vulnerabilities related to Meta’s Facebook and Instagram, highlighting that these apps bypass existing security measures on Android devices. It underscores the need for users…

  • Transformer Circuits Thread: Circuits Updates

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    by

    Kurt Seifried
    in

    Source URL: https://transformer-circuits.pub/2025/april-update/index.html Source: Transformer Circuits Thread Title: Circuits Updates Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses emerging research and methodologies in the field of machine learning interpretability, specifically focusing on large language models (LLMs). It examines the mechanisms by which these models respond to harmful requests (like making bomb instructions)…