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Tag: context window

  • Simon Willison’s Weblog: Claude Sonnet 4 now supports 1M tokens of context

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Aug/12/claude-sonnet-4-1m/ Source: Simon Willison’s Weblog Title: Claude Sonnet 4 now supports 1M tokens of context Feedly Summary: Claude Sonnet 4 now supports 1M tokens of context Gemini and OpenAI both have million token models, so it’s good to see Anthropic catching up. This is 5x the previous 200,000 context length limit of the…

  • Cloud Blog: Taming the stragglers: Maximize AI training performance with automated straggler detection

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/stragglers-in-ai-a-guide-to-automated-straggler-detection/ Source: Cloud Blog Title: Taming the stragglers: Maximize AI training performance with automated straggler detection Feedly Summary: Stragglers are an industry-wide issue for developers working with large-scale machine learning workloads. The larger and more powerful these systems become, the more their performance is hostage to the subtle misbehavior of a single component.…

  • AWS News Blog: OpenAI open weight models now available on AWS

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/aws/openai-open-weight-models-now-available-on-aws/ Source: AWS News Blog Title: OpenAI open weight models now available on AWS Feedly Summary: AWS continues to expand access to the most advanced foundation models with OpenAI open weight models now available in Amazon Bedrock and Amazon SageMaker JumpStart. Accessing these new models from OpenAI on AWS, gpt-oss-120b and gpt-oss-20b, gives…

  • Simon Willison’s Weblog: Coding with LLMs in the summer of 2025 (an update)

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jul/21/coding-with-llms/#atom-everything Source: Simon Willison’s Weblog Title: Coding with LLMs in the summer of 2025 (an update) Feedly Summary: Coding with LLMs in the summer of 2025 (an update) Salvatore Sanfilippo describes his current AI-assisted development workflow. He’s all-in on LLMs for code review, exploratory prototyping, pair-design and writing “part of the code under…

  • Simon Willison’s Weblog: How to Fix Your Context

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jun/29/how-to-fix-your-context/#atom-everything Source: Simon Willison’s Weblog Title: How to Fix Your Context Feedly Summary: How to Fix Your Context Drew Breunig has been publishing some very detailed notes on context engineering recently. In How Long Contexts Fail he described four common patterns for context rot, which he summarizes like so: Context Poisoning: When a…

  • Cloud Blog: The secret to document intelligence: Box builds Enhanced Extract Agents using Google’s Agent-2-Agent framework

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/customers/box-ai-agents-with-googles-agent-2-agent-protocol/ Source: Cloud Blog Title: The secret to document intelligence: Box builds Enhanced Extract Agents using Google’s Agent-2-Agent framework Feedly Summary: Box is one of the original information sharing and collaboration platforms of the digital era. They’ve helped define how we work, and have continued to evolve those practices alongside successive waves of…

  • Simon Willison’s Weblog: How OpenElections Uses LLMs

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jun/19/how-openelections-uses-llms/#atom-everything Source: Simon Willison’s Weblog Title: How OpenElections Uses LLMs Feedly Summary: How OpenElections Uses LLMs The OpenElections project collects detailed election data for the USA, all the way down to the precinct level. This is a surprisingly hard problem: while county and state-level results are widely available, precinct-level results are published in…