Tag: scaling

  • Simon Willison’s Weblog: XBai o4

    Source URL: https://simonwillison.net/2025/Aug/3/xbai-o4/#atom-everything Source: Simon Willison’s Weblog Title: XBai o4 Feedly Summary: XBai o4 Yet another open source (Apache 2.0) LLM from a Chinese AI lab. This model card claims: XBai o4 excels in complex reasoning capabilities and has now completely surpassed OpenAI-o3-mini in Medium mode. This a 32.8 billion parameter model released by MetaStone…

  • Cloud Blog: Announcing a complete developer toolkit for scaling A2A agents on Google Cloud

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/agent2agent-protocol-is-getting-an-upgrade/ Source: Cloud Blog Title: Announcing a complete developer toolkit for scaling A2A agents on Google Cloud Feedly Summary: AI is  evolving beyond single, task-specific agents into an interconnected ecosystem, where autonomous agents collaborate  to solve complex problems, regardless of their underlying platform. To make this transition easier for developers, we are announcing…

  • AWS News Blog: Amazon DocumentDB Serverless is now available

    Source URL: https://aws.amazon.com/blogs/aws/amazon-documentdb-serverless-is-now-available/ Source: AWS News Blog Title: Amazon DocumentDB Serverless is now available Feedly Summary: Amazon DocumentDB Serverless automatically scales capacity up or down in fine-grained increments based on your application’s demand, offering up to 90% cost savings compared to provisioning for peak capacity. AI Summary and Description: Yes Summary: The text introduces Amazon…

  • Slashdot: Meta Names Shengjia Zhao As Chief Scientist of AI Superintelligence Unit

    Source URL: https://tech.slashdot.org/story/25/07/25/2143237/meta-names-shengjia-zhao-as-chief-scientist-of-ai-superintelligence-unit Source: Slashdot Title: Meta Names Shengjia Zhao As Chief Scientist of AI Superintelligence Unit Feedly Summary: AI Summary and Description: Yes Summary: Meta has appointed Shengjia Zhao as Chief Scientist of its new Meta Superintelligence Labs (MSL), recognizing his expertise in AI reasoning models. This move is significant for the advancement of…

  • Cloud Blog: Your guide to taking an open model from discovery to a production-ready endpoint on Vertex AI

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/take-an-open-model-from-discovery-to-endpoint-on-vertex-ai/ Source: Cloud Blog Title: Your guide to taking an open model from discovery to a production-ready endpoint on Vertex AI Feedly Summary: Developers building with gen AI are increasingly drawn to open models for their power and flexibility. But customizing and deploying them can be a huge challenge. You’re often left wrestling…

  • Simon Willison’s Weblog: TimeScope: How Long Can Your Video Large Multimodal Model Go?

    Source URL: https://simonwillison.net/2025/Jul/23/timescope/#atom-everything Source: Simon Willison’s Weblog Title: TimeScope: How Long Can Your Video Large Multimodal Model Go? Feedly Summary: TimeScope: How Long Can Your Video Large Multimodal Model Go? New open source benchmark for evaluating vision LLMs on how well they handle long videos: TimeScope probes the limits of long-video capabilities by inserting several…

  • Cloud Blog: Celebrating 10 years of GKE: Incredible customer journeys, amazing AI futures

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/10-years-of-gke-ebook/ Source: Cloud Blog Title: Celebrating 10 years of GKE: Incredible customer journeys, amazing AI futures Feedly Summary: The evolution of the cloud has been tremendous over the past decade. Every step of the way, Google Kubernetes Engine (GKE) has been there to meet new challenges. From giving DevOps more scalable foundations to…