Experimental News Clipping Site

Tag: evaluation

  • Slashdot: CA/Browser Forum Votes for 47-Day Cert Durations By 2029

    —

    by

    Kurt Seifried
    in

    Source URL: https://it.slashdot.org/story/25/04/19/1745216/cabrowser-forum-votes-for-47-day-cert-durations-by-2029?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: CA/Browser Forum Votes for 47-Day Cert Durations By 2029 Feedly Summary: AI Summary and Description: Yes Summary: The CA/Browser Forum’s decision to reduce the lifespan of TLS certificates from one year to 47 days is set to significantly impact enterprise IT operations, demanding greater automation in certificate management. This…

  • Simon Willison’s Weblog: Quoting Andrew Ng

    —

    by

    Kurt Seifried
    in

    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…

  • CSA: Data Security Evolution: From DLP to DSPM

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloudsecurityalliance.org/articles/the-evolution-of-data-security-from-traditional-dlp-to-dspm Source: CSA Title: Data Security Evolution: From DLP to DSPM Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the rising significance of Data Security Posture Management (DSPM) in the context of evolving data security challenges faced by organizations, particularly as reliance on AI and cloud services grows. It highlights…

  • Simon Willison’s Weblog: Start building with Gemini 2.5 Flash

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/17/start-building-with-gemini-25-flash/ Source: Simon Willison’s Weblog Title: Start building with Gemini 2.5 Flash Feedly Summary: Start building with Gemini 2.5 Flash Google Gemini’s latest model is Gemini 2.5 Flash, available in (paid) preview as gemini-2.5-flash-preview-04-17. Building upon the popular foundation of 2.0 Flash, this new version delivers a major upgrade in reasoning capabilities, while…

  • Simon Willison’s Weblog: Quoting Ted Sanders, OpenAI

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/17/ted-sanders/ Source: Simon Willison’s Weblog Title: Quoting Ted Sanders, OpenAI Feedly Summary: Our hypothesis is that o4-mini is a much better model, but we’ll wait to hear feedback from developers. Evals only tell part of the story, and we wouldn’t want to prematurely deprecate a model that developers continue to find value in.…

  • Simon Willison’s Weblog: Quoting James Betker

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/16/james-betker/#atom-everything Source: Simon Willison’s Weblog Title: Quoting James Betker Feedly Summary: I work for OpenAI. […] o4-mini is actually a considerably better vision model than o3, despite the benchmarks. Similar to how o3-mini-high was a much better coding model than o1. I would recommend using o4-mini-high over o3 for any task involving vision.…

  • Slashdot: OpenAI Unveils o3 and o4-mini Models

    —

    by

    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/04/16/1925253/openai-unveils-o3-and-o4-mini-models?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI Unveils o3 and o4-mini Models Feedly Summary: AI Summary and Description: Yes Summary: OpenAI’s release of the o3 and o4-mini AI models marks a crucial development in AI’s capability to process and analyze images, expanding the scope of their applications. These models can utilize various tools, enhancing their…

  • Simon Willison’s Weblog: Quoting Hamel Husain

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/15/hamel-husain/ Source: Simon Willison’s Weblog Title: Quoting Hamel Husain Feedly Summary: The single most impactful investment I’ve seen AI teams make isn’t a fancy evaluation dashboard—it’s building a customized interface that lets anyone examine what their AI is actually doing. I emphasize customized because every domain has unique needs that off-the-shelf tools rarely…