Experimental News Clipping Site

Tag: usage

  • Simon Willison’s Weblog: Saying "hi" to Microsoft’s Phi-4-reasoning

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/6/phi-4-reasoning/#atom-everything Source: Simon Willison’s Weblog Title: Saying "hi" to Microsoft’s Phi-4-reasoning Feedly Summary: Microsoft released a new sub-family of models a few days ago: Phi-4 reasoning. They introduced them in this blog post celebrating a year since the release of Phi-3: Today, we are excited to introduce Phi-4-reasoning, Phi-4-reasoning-plus, and Phi-4-mini-reasoning – marking…

  • Simon Willison’s Weblog: What people get wrong about the leading Chinese open models: Adoption and censorship

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/6/what-people-get-wrong-about-the-leading-chinese-models/#atom-everything Source: Simon Willison’s Weblog Title: What people get wrong about the leading Chinese open models: Adoption and censorship Feedly Summary: What people get wrong about the leading Chinese open models: Adoption and censorship While I’ve been enjoying trying out Alibaba’s Qwen 3 a lot recently, Nathan Lambert focuses on the elephant in…

  • Simon Willison’s Weblog: Feed a video to a vision LLM as a sequence of JPEG frames on the CLI (also LLM 0.25)

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/5/llm-video-frames/#atom-everything Source: Simon Willison’s Weblog Title: Feed a video to a vision LLM as a sequence of JPEG frames on the CLI (also LLM 0.25) Feedly Summary: The new llm-video-frames plugin can turn a video file into a sequence of JPEG frames and feed them directly into a long context vision LLM such…

  • Simon Willison’s Weblog: Quoting Arvind Narayanan

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/5/arvind-narayanan/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Arvind Narayanan Feedly Summary: [On using generative AI for work despite the risk of errors:] AI is helpful despite being error-prone if it is faster to verify the output than it is to do the work yourself. For example, if you’re using it to find a…

  • Docker: Introducing Docker MCP Catalog and Toolkit: The Simple and Secure Way to Power AI Agents with MCP Tools

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/announcing-docker-mcp-catalog-and-toolkit-beta/ Source: Docker Title: Introducing Docker MCP Catalog and Toolkit: The Simple and Secure Way to Power AI Agents with MCP Tools Feedly Summary: Model Context Protocols (MCPs) are quickly becoming the standard for connecting AI agents to external tools, but the developer experience hasn’t caught up. Discovery is fragmented, setup is clunky,…

  • Simon Willison’s Weblog: Qwen3-8B

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/2/qwen3-8b/#atom-everything Source: Simon Willison’s Weblog Title: Qwen3-8B Feedly Summary: Having tried a few of the Qwen 3 models now my favorite is a bit of a surprise to me: I’m really enjoying Qwen3-8B. I’ve been running prompts through the MLX 4bit quantized version, mlx-community/Qwen3-8B-4bit. I’m using llm-mlx like this: llm install llm-mlx llm…

  • Cloud Blog: Palo Alto Networks’ journey to productionizing gen AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/partners/how-palo-alto-networks-builds-gen-ai-solutions/ Source: Cloud Blog Title: Palo Alto Networks’ journey to productionizing gen AI Feedly Summary: At Google Cloud, we empower businesses to accelerate their generative AI innovation cycle by providing a path from prototype to production. Palo Alto Networks, a global cybersecurity leader, partnered with Google Cloud to develop an innovative security posture…