Experimental News Clipping Site

Tag: time scaling

  • Cloud Blog: GKE under the hood: Container-optimized compute delivers fast autoscaling for Autopilot

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/container-optimized-compute-delivers-autoscaling-for-autopilot/ Source: Cloud Blog Title: GKE under the hood: Container-optimized compute delivers fast autoscaling for Autopilot Feedly Summary: The promise of Google Kubernetes Engine (GKE) is the power of Kubernetes with ease of management, including planning and creating clusters, deploying and managing applications, configuring networking, ensuring security, and scaling workloads. However, when it…

  • Simon Willison’s Weblog: XBai o4

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    Kurt Seifried
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    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…

  • Simon Willison’s Weblog: Qwen3-Coder: Agentic Coding in the World

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jul/22/qwen3-coder/ Source: Simon Willison’s Weblog Title: Qwen3-Coder: Agentic Coding in the World Feedly Summary: Qwen3-Coder: Agentic Coding in the World It turns out that as I was typing up my notes on Qwen3-235B-A22B-Instruct-2507 the Qwen team were unleashing something much bigger: Today, we’re announcing Qwen3-Coder, our most agentic code model to date. Qwen3-Coder…

  • Cloud Blog: Supercharge your data the open-source way: Memorystore for Valkey is now GA

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/databases/announcing-general-availability-of-memorystore-for-valkey/ Source: Cloud Blog Title: Supercharge your data the open-source way: Memorystore for Valkey is now GA Feedly Summary: Editor’s note: Ping Xie is a Valkey maintainer on the Valkey Technical Steering Committee (TSC). Memorystore, Google Cloud’s fully managed in-memory service for Valkey, Redis and Memcached, plays an increasingly important role in our…

  • Cloud Blog: Introducing Ironwood TPUs and new innovations in AI Hypercomputer

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/whats-new-with-ai-hypercomputer/ Source: Cloud Blog Title: Introducing Ironwood TPUs and new innovations in AI Hypercomputer Feedly Summary: Today’s innovation isn’t born in a lab or at a drafting board; it’s built on the bedrock of AI infrastructure. AI workloads have new and unique demands — addressing these requires a finely crafted combination of hardware…

  • Hacker News: Understanding Reasoning LLMs

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    Kurt Seifried
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    Source URL: https://magazine.sebastianraschka.com/p/understanding-reasoning-llms Source: Hacker News Title: Understanding Reasoning LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores advancements in reasoning models associated with large language models (LLMs), focusing particularly on the development of DeepSeek’s reasoning model and various approaches to enhance LLM capabilities through structured training methodologies. This examination is…

  • Simon Willison’s Weblog: S1: The $6 R1 Competitor?

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/5/s1-the-6-r1-competitor/ Source: Simon Willison’s Weblog Title: S1: The $6 R1 Competitor? Feedly Summary: S1: The $6 R1 Competitor? Tim Kellogg shares his notes on a new paper, s1: Simple test-time scaling, which describes an inference-scaling model fine-tuned on top of Qwen2.5-32B-Instruct for just $6 – the cost for 26 minutes on 16 NVIDIA…

  • Hacker News: S1: The $6 R1 Competitor?

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    Kurt Seifried
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    Source URL: https://timkellogg.me/blog/2025/02/03/s1 Source: Hacker News Title: S1: The $6 R1 Competitor? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel AI model that demonstrates significant performance scalability while being cost-effective, leveraging concepts like inference-time scaling and entropix. It highlights the implications of such advancements for AI research, including geopolitics…