Experimental News Clipping Site

Tag: Well

  • Simon Willison’s Weblog: Luis von Ahn on LinkedIn

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/26/luis-von-ahn-on-linkedin/#atom-everything Source: Simon Willison’s Weblog Title: Luis von Ahn on LinkedIn Feedly Summary: Luis von Ahn on LinkedIn Last month’s Duolingo memo about becoming an “AI-first" company has seen significant backlash, particularly on TikTok. I’ve had trouble figuring out how much of this is a real threat to their business as opposed to…

  • Simon Willison’s Weblog: System Card: Claude Opus 4 & Claude Sonnet 4

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/25/claude-4-system-card/#atom-everything Source: Simon Willison’s Weblog Title: System Card: Claude Opus 4 & Claude Sonnet 4 Feedly Summary: System Card: Claude Opus 4 & Claude Sonnet 4 Direct link to a PDF on Anthropic’s CDN because they don’t appear to have a landing page anywhere for this document. Anthropic’s system cards are always worth…

  • AWS News Blog: Introducing Claude 4 in Amazon Bedrock, the most powerful models for coding from Anthropic

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/aws/claude-opus-4-anthropics-most-powerful-model-for-coding-is-now-in-amazon-bedrock/ Source: AWS News Blog Title: Introducing Claude 4 in Amazon Bedrock, the most powerful models for coding from Anthropic Feedly Summary: Claude Opus 4 is now available on Amazon Bedrock for developers to build advanced AI agents with improved reasoning and coding capabilities, as well as expanded context for building more autonomous…

  • Cloud Blog: Train AI for less: Improve ML Goodput with elastic training and optimized checkpointing

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/elastic-training-and-optimized-checkpointing-improve-ml-goodput/ Source: Cloud Blog Title: Train AI for less: Improve ML Goodput with elastic training and optimized checkpointing Feedly Summary: Want to save some money on large AI training? For a typical PyTorch LLM training workload that spans thousands of accelerators for several weeks, a 1% improvement in ML Goodput can translate to…

  • Simon Willison’s Weblog: Devstral

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/21/devstral/#atom-everything Source: Simon Willison’s Weblog Title: Devstral Feedly Summary: Devstral New Apache 2.0 licensed LLM release from Mistral, this time specifically trained for code. Devstral achieves a score of 46.8% on SWE-Bench Verified, outperforming prior open-source SoTA models by more than 6% points. When evaluated under the same test scaffold (OpenHands, provided by…

  • Tomasz Tunguz: My Prompt, My Reality

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    Kurt Seifried
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    Source URL: https://www.tomtunguz.com/user-perception-quality/ Source: Tomasz Tunguz Title: My Prompt, My Reality Feedly Summary: “Now with LLMs, a bunch of the perceived quality depends on your prompt. So you have users that are prompting with different skills or different level of skills. And the outcome of that prompt may be perceived as low quality, but that’s…

  • Cloud Blog: Introducing AI.GENERATE_TABLE: creating structured data from gen AI models in BigQuery

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/convert-ai-generated-unstructured-data-to-a-bigquery-table/ Source: Cloud Blog Title: Introducing AI.GENERATE_TABLE: creating structured data from gen AI models in BigQuery Feedly Summary: The explosion of digital content from social media, smartphones, and other sources has created a massive amount of unstructured data like images, videos, and documents. To help you analyze this data, BigQuery is connected with…