Tag: saving

  • Cloud Blog: Automate data resilience at scale with Eon and Google Cloud Backup

    Source URL: https://cloud.google.com/blog/products/storage-data-transfer/data-resilience-eons-approach–google-cloud-best-practices/ Source: Cloud Blog Title: Automate data resilience at scale with Eon and Google Cloud Backup Feedly Summary: Cloud backups were once considered as little more than an insurance policy. Now, your backups should do more! They should be autonomous, cost-efficient, and analytics-ready by default. That’s why Eon built a platform purposefully aligned…

  • Slashdot: AI Will Shrink Amazon’s Workforce In the Coming Years, CEO Jassy Says

    Source URL: https://slashdot.org/story/25/06/17/2041222/ai-will-shrink-amazons-workforce-in-the-coming-years-ceo-jassy-says?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Will Shrink Amazon’s Workforce In the Coming Years, CEO Jassy Says Feedly Summary: AI Summary and Description: Yes Summary: Amazon CEO Andy Jassy’s memo highlights a significant shift towards adopting generative AI tools, signaling a reduction in the corporate workforce as some jobs become obsolete and new roles…

  • Cloud Blog: C4D now GA: up to 80% higher performance for your business critical workloads

    Source URL: https://cloud.google.com/blog/products/compute/c4d-vms-unparalleled-performance-for-business-workloads/ Source: Cloud Blog Title: C4D now GA: up to 80% higher performance for your business critical workloads Feedly Summary: We’re excited to announce the general availability of our next-generation C4D virtual machine family. Powered by 5th Gen AMD EPYC processors (Turin) paired with Google Titanium’s latest advancements, C4D provides customers with meaningful…

  • Simon Willison’s Weblog: Anthropic: How we built our multi-agent research system

    Source URL: https://simonwillison.net/2025/Jun/14/multi-agent-research-system/#atom-everything Source: Simon Willison’s Weblog Title: Anthropic: How we built our multi-agent research system Feedly Summary: Anthropic: How we built our multi-agent research system OK, I’m sold on multi-agent LLM systems now. I’ve been pretty skeptical of these until recently: why make your life more complicated by running multiple different prompts in parallel…

  • Slashdot: Large Language Models, Small Labor Market Effects

    Source URL: https://slashdot.org/story/25/06/12/0117247/large-language-models-small-labor-market-effects?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Large Language Models, Small Labor Market Effects Feedly Summary: AI Summary and Description: Yes Summary: The study examines the labor market effects of AI chatbots, particularly focusing on how their adoption influences workplaces and job dynamics. While substantial investments in AI chatbots have been made, the study finds minimal…

  • Docker: How to Build, Run, and Package AI Models Locally with Docker Model Runner

    Source URL: https://www.docker.com/blog/how-to-build-run-and-package-ai-models-locally-with-docker-model-runner/ Source: Docker Title: How to Build, Run, and Package AI Models Locally with Docker Model Runner Feedly Summary: Introduction As a Senior DevOps Engineer and Docker Captain, I’ve helped build AI systems for everything from retail personalization to medical imaging. One truth stands out: AI capabilities are core to modern infrastructure. This…