Experimental News Clipping Site

Tag: performance metrics

  • Cloud Blog: Setting new expectations: Benchmarking high-performance trading with C3 machines

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/benchmarking-c3-machine-types-for-trading-firms-with-28stone/ Source: Cloud Blog Title: Setting new expectations: Benchmarking high-performance trading with C3 machines Feedly Summary: Trading in capital markets demands peak compute performance, with every microsecond impacting critical decisions and market outcomes. At Google Cloud, we’re committed to providing global markets with the cutting-edge infrastructure they need to create and participate in…

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

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    Kurt Seifried
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    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

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    Kurt Seifried
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    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…

  • AWS News Blog: Announcing Amazon EC2 M4 and M4 Pro Mac instances

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/aws/announcing-amazon-ec2-m4-and-m4-pro-mac-instances/ Source: AWS News Blog Title: Announcing Amazon EC2 M4 and M4 Pro Mac instances Feedly Summary: AWS has launched new EC2 M4 and M4 Pro Mac instances based on Apple M4 Mac mini, offering improved performance over previous generations and featuring up to 48GB memory and 2TB storage for iOS/macOS development workloads.…

  • Slashdot: Microsoft To Use Some AI From Anthropic In Shift From OpenAI

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/09/09/238208/microsoft-to-use-some-ai-from-anthropic-in-shift-from-openai?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft To Use Some AI From Anthropic In Shift From OpenAI Feedly Summary: AI Summary and Description: Yes Summary: Microsoft is expanding its AI capabilities by incorporating Anthropic’s AI features into Office 365 applications, shifting its reliance from OpenAI. This integration aims to enhance functionalities like financial automation in…

  • Slashdot: Boffins Build Automated Android Bug Hunting System

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    Kurt Seifried
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    Source URL: https://it.slashdot.org/story/25/09/05/196218/boffins-build-automated-android-bug-hunting-system?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Boffins Build Automated Android Bug Hunting System Feedly Summary: AI Summary and Description: Yes Summary: The text discusses an innovative AI-powered bug-hunting agent called A2, developed by researchers from Nanjing University and the University of Sydney. This agent aims to enhance vulnerability discovery in Android apps, achieving significantly higher…

  • Cloud Blog: Investigate fast with AI: Gemini Cloud Assist for Dataproc & Serverless for Apache Spark

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/troubleshoot-apache-spark-on-dataproc-with-gemini-cloud-assist-ai/ Source: Cloud Blog Title: Investigate fast with AI: Gemini Cloud Assist for Dataproc & Serverless for Apache Spark Feedly Summary: Apache Spark is a fundamental part of most modern lakehouse architectures, and Google Cloud’s Dataproc provides a powerful, fully managed platform for running Spark applications. However, for data engineers and scientists, debugging…