Experimental News Clipping Site

Tag: feedback

  • Cloud Blog: Power up your data analysis: The Data Science Agent now supports BigQuery ML, DataFrames, and Spark

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/data-science-agent-now-supports-bigquery-ml-dataframes-and-spark/ Source: Cloud Blog Title: Power up your data analysis: The Data Science Agent now supports BigQuery ML, DataFrames, and Spark Feedly Summary: We recently announced AI-first Colab Enterprise notebook experience in BigQuery and Vertex AI to help you simplify and transform your data science and analytics workflows. Colab Enterprise notebooks come with…

  • OpenAI : Teen safety, freedom, and privacy

    —

    by

    Kurt Seifried
    in

    Source URL: https://openai.com/index/teen-safety-freedom-and-privacy Source: OpenAI Title: Teen safety, freedom, and privacy Feedly Summary: Explore OpenAI’s approach to balancing teen safety, freedom, and privacy in AI use. AI Summary and Description: Yes Summary: OpenAI’s strategies for ensuring teen safety, freedom, and privacy while using AI technologies underscore the vital importance of ethical considerations in the development…

  • Anchore: Grant’s Release 0.3.0: Smarter Policies, Faster Scans, and Simpler Compliance

    —

    by

    Kurt Seifried
    in

    Source URL: https://anchore.com/blog/grants-release-0-3-0-smarter-policies-faster-scans-and-simpler-compliance/ Source: Anchore Title: Grant’s Release 0.3.0: Smarter Policies, Faster Scans, and Simpler Compliance Feedly Summary: Every modern application is built on a foundation of open source dependencies. Dozens, hundreds, sometimes thousands of packages can make up a unit of software being shipped to production. Each of these packages carries its own license…

  • Cloud Blog: Supercharge ML performance on xPUs with the new XProf profiler and Cloud Diagnostics XProf library

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/supercharge-ml-performance-on-xpus-with-the-new-xprof-profiler-and-cloud-diagnostics-xprof-library/ Source: Cloud Blog Title: Supercharge ML performance on xPUs with the new XProf profiler and Cloud Diagnostics XProf library Feedly Summary: Are you spending more time debugging ML model performance than you are building? You’re not alone. In today’s fast-paced AI landscape, optimizing models is a complex challenge, from navigating new model…

  • Simon Willison’s Weblog: GPT‑5-Codex and upgrades to Codex

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/15/gpt-5-codex/#atom-everything Source: Simon Willison’s Weblog Title: GPT‑5-Codex and upgrades to Codex Feedly Summary: GPT‑5-Codex and upgrades to Codex OpenAI half-released a new model today: GPT‑5-Codex, a fine-tuned GPT-5 variant explicitly designed for their various AI-assisted programming tools. I say half-released because it’s not yet available via their API, but they “plan to make…

  • Cloud Blog: Cloud CISO Perspectives: APAC security leaders speak out on AI and key topics

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/identity-security/cloud-ciso-perspectives-apac-security-leaders-speak-out-on-ai/ Source: Cloud Blog Title: Cloud CISO Perspectives: APAC security leaders speak out on AI and key topics Feedly Summary: Welcome to the first Cloud CISO Perspectives for September 2025. Today, Daryl Pereira and Hui Meng Foo, from our Office of the CISO’s Asia-Pacific office, share insights on AI from security leaders who…

  • Cloud Blog: Fast and efficient AI inference with new NVIDIA Dynamo recipe on AI Hypercomputer

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/ai-inference-recipe-using-nvidia-dynamo-with-ai-hypercomputer/ Source: Cloud Blog Title: Fast and efficient AI inference with new NVIDIA Dynamo recipe on AI Hypercomputer Feedly Summary: As generative AI becomes more widespread, it’s important for developers and ML engineers to be able to easily configure infrastructure that supports efficient AI inference, i.e., using a trained AI model to make…