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Tag: new

  • Cloud Blog: Announcing a new monitoring library to optimize TPU performance

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/new-monitoring-library-to-optimize-google-cloud-tpu-resources/ Source: Cloud Blog Title: Announcing a new monitoring library to optimize TPU performance Feedly Summary: For more than a decade, TPUs have powered Google’s most demanding AI training and serving workloads. And there is strong demand from customers for Cloud TPUs as well. When running advanced AI workloads, you need to be…

  • Cloud Blog: Application monitoring in Google Cloud: Bridging manual and AI-assisted troubleshooting

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/management-tools/get-to-know-cloud-observability-application-monitoring/ Source: Cloud Blog Title: Application monitoring in Google Cloud: Bridging manual and AI-assisted troubleshooting Feedly Summary: As developers and operators, you know that having access to the right information in the proper context is crucial for effective troubleshooting. This is why organizations invest a lot upfront curating monitoring resources across different business…

  • Cloud Blog: How to enable Secure Boot for your AI workloads

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/identity-security/how-to-enable-secure-boot-for-your-ai-workloads/ Source: Cloud Blog Title: How to enable Secure Boot for your AI workloads Feedly Summary: As organizations race to deploy powerful GPU-accelerated workloads, they might overlook a foundational step: ensuring the integrity of the system from the very moment it turns on.  Threat actors, however, have not overlooked this. They increasingly target…

  • Simon Willison’s Weblog: How to run an LLM on your laptop

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jul/18/how-to-run-an-llm-on-your-laptop/ Source: Simon Willison’s Weblog Title: How to run an LLM on your laptop Feedly Summary: How to run an LLM on your laptop I talked to Grace Huckins for this piece from MIT Technology Review on running local models. Apparently she enjoyed my dystopian backup plan! Simon Willison has a plan for…

  • The Register: Time for Britain’s CMA to strike hard – or risk losing the cloud competition fight

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/07/18/comment_on_cma/ Source: The Register Title: Time for Britain’s CMA to strike hard – or risk losing the cloud competition fight Feedly Summary: With watchdog set to publish report into health of market next month, will it hold AWS and Microsoft’s feet to the fire? Comment The UK’s ambition to become a global AI…

  • The Register: OpenAI deputizes ChatGPT to serve as an agent that uses your computer

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/07/18/openai_debuts_chatgpt_agent/ Source: The Register Title: OpenAI deputizes ChatGPT to serve as an agent that uses your computer Feedly Summary: LLM given keys to the web, told to behave and observe safeguards OpenAI’s ChatGPT has graduated from chatbot to agent, at least for paying subscribers.… AI Summary and Description: Yes Summary: The text discusses…

  • The Register: AWS previews AgentCore to jumpstart enterprise AI agents

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/07/17/aws_agentcore_ai/ Source: The Register Title: AWS previews AgentCore to jumpstart enterprise AI agents Feedly Summary: Running on Amazon Bedrock, it aims to pave the path from prototype to production Video Amazon Web Services (AWS) on Wednesday previewed a service called Bedrock AgentCore to help organizations put AI agents into business-ready production.… AI Summary…

  • Tomasz Tunguz: Hidden Technical Debt in AI

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    Kurt Seifried
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    Source URL: https://www.tomtunguz.com/hidden-technical-debt-in-ai/ Source: Tomasz Tunguz Title: Hidden Technical Debt in AI Feedly Summary: That little black box in the middle is machine learning code. I remember reading Google’s 2015 Hidden Technical Debt in ML paper & thinking how little of a machine learning application was actual machine learning. The vast majority was infrastructure, data…