Experimental News Clipping Site

Tag: deployment strategies

  • Hacker News: TinyKVM: Fast sandbox that runs on top of Varnish

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    Kurt Seifried
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    Source URL: https://info.varnish-software.com/blog/tinykvm-the-fastest-sandbox Source: Hacker News Title: TinyKVM: Fast sandbox that runs on top of Varnish Feedly Summary: Comments AI Summary and Description: Yes Summary: This text introduces TinyKVM, a lightweight KVM-based userspace emulator designed for executing Linux programs in a sandboxed environment. Its focus on performance, security, and minimal overhead positions it as a…

  • Simon Willison’s Weblog: Introducing Command A: Max performance, minimal compute

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/13/command-a/#atom-everything Source: Simon Willison’s Weblog Title: Introducing Command A: Max performance, minimal compute Feedly Summary: Introducing Command A: Max performance, minimal compute New LLM release from Cohere. It’s interesting to see which aspects of the model they’re highlighting, as an indicator of what their commercial customers value the most (highlight mine): Command A…

  • Hacker News: Zero-Downtime Kubernetes Deployments on AWS with EKS

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    Kurt Seifried
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    Source URL: https://glasskube.dev/blog/kubernetes-zero-downtime-deployments-aws-eks/ Source: Hacker News Title: Zero-Downtime Kubernetes Deployments on AWS with EKS Feedly Summary: Comments AI Summary and Description: Yes Summary: This blog post discusses the intricacies of achieving zero-downtime deployments on AWS EKS, particularly focusing on the AWS Load Balancer Controller. The author shares practical solutions for dealing with downtime during application…

  • Hacker News: Smaller but Better: Unifying Layout Generation with Smaller LLMs

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2502.14005 Source: Hacker News Title: Smaller but Better: Unifying Layout Generation with Smaller LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper presents LGGPT, a large language model designed for unified layout generation, emphasizing its efficiency and performance even with a smaller size compared to larger models. It introduces novel…

  • Simon Willison’s Weblog: QwQ-32B: Embracing the Power of Reinforcement Learning

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/5/qwq-32b/#atom-everything Source: Simon Willison’s Weblog Title: QwQ-32B: Embracing the Power of Reinforcement Learning Feedly Summary: QwQ-32B: Embracing the Power of Reinforcement Learning New Apache 2 licensed reasoning model from Qwen: We are excited to introduce QwQ-32B, a model with 32 billion parameters that achieves performance comparable to DeepSeek-R1, which boasts 671 billion parameters…

  • Cloud Blog: Announcing Terraform providers for Oracle Database@Google Cloud

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/databases/new-terraform-provider-for-oracle-database-at-google-cloud/ Source: Cloud Blog Title: Announcing Terraform providers for Oracle Database@Google Cloud Feedly Summary: Many organizations use Terraform to manage their cloud deployments through Infrastructure as Code. Today we are excited to share the general availability of Terraform providers for Oracle Database@Google Cloud. You can now deploy and manage Oracle Autonomous Database and…

  • Slashdot: Inception Emerges From Stealth With a New Type of AI Model

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/02/26/2257224/inception-emerges-from-stealth-with-a-new-type-of-ai-model?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Inception Emerges From Stealth With a New Type of AI Model Feedly Summary: AI Summary and Description: Yes Summary: Inception, a startup led by Stanford professor Stefano Ermon, has developed a highly efficient diffusion-based large language model (DLM) that surpasses traditional models in both speed and cost-effectiveness. By enabling…

  • The Register: DeepMind working on distributed training of large AI models

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/02/11/deepmind_distributed_model_training_research/ Source: The Register Title: DeepMind working on distributed training of large AI models Feedly Summary: Alternate process could be a game changer if they can make it practicable Is distributed training the future of AI? As the shock of the DeepSeek release fades, its legacy may be an awareness that alternative approaches…

  • 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…

  • Slashdot: OpenAI Tests Its AI’s Persuasiveness By Comparing It to Reddit Posts

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/02/02/0319217/openai-tests-its-ais-persuasiveness-by-comparing-it-to-reddit-posts?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI Tests Its AI’s Persuasiveness By Comparing It to Reddit Posts Feedly Summary: AI Summary and Description: Yes Summary: OpenAI utilized the subreddit r/ChangeMyView to test and evaluate the persuasive capabilities of its AI reasoning models, particularly through a structured process that involves comparing AI-generated responses with human replies.…