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Tag: turn

  • Simon Willison’s Weblog: Introducing web search on the Anthropic API

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/7/anthropic-api-search/#atom-everything Source: Simon Willison’s Weblog Title: Introducing web search on the Anthropic API Feedly Summary: Introducing web search on the Anthropic API Anthropic’s web search (presumably still powered by Brave) is now also available through their API, in the shape of a new web search tool called web_search_20250305. You can specify a maximum…

  • Cloud Blog: Guide to build MCP servers using vibe coding with Gemini 2.5 Pro

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/build-mcp-servers-using-vibe-coding-with-gemini-2-5-pro/ Source: Cloud Blog Title: Guide to build MCP servers using vibe coding with Gemini 2.5 Pro Feedly Summary: Have you ever had something on the tip of your tongue, but you weren’t exactly sure how to describe what’s in your mind?  For developers, this is where “vibe coding " comes in. Vibe…

  • Cloud Blog: How Looker’s semantic layer enables trusted AI for business intelligence

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/business-intelligence/how-lookers-semantic-layer-enhances-gen-ai-trustworthiness/ Source: Cloud Blog Title: How Looker’s semantic layer enables trusted AI for business intelligence Feedly Summary: In the AI era, where data fuels intelligent applications and drives business decisions, demand for accurate and consistent data insights has never been higher. However, the complexity and sheer volume of data coupled with the diversity…

  • 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: Gemini 2.5 Pro Preview: even better coding performance

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/6/gemini-25-pro-preview/#atom-everything Source: Simon Willison’s Weblog Title: Gemini 2.5 Pro Preview: even better coding performance Feedly Summary: Gemini 2.5 Pro Preview: even better coding performance New Gemini 2.5 Pro “Google I/O edition" model, released a few weeks ahead of that annual developer conference. They claim even better frontend coding performance, highlighting their #1 ranking…

  • Simon Willison’s Weblog: Quoting Max Woolf

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/5/max-woolf/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Max Woolf Feedly Summary: Two things can be true simultaneously: (a) LLM provider cost economics are too negative to return positive ROI to investors, and (b) LLMs are useful for solving problems that are meaningful and high impact, albeit not to the AGI hype that would…

  • 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…

  • Cloud Blog: Announcing new Vertex AI Prediction Dedicated Endpoints

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/reliable-ai-with-vertex-ai-prediction-dedicated-endpoints/ Source: Cloud Blog Title: Announcing new Vertex AI Prediction Dedicated Endpoints Feedly Summary: For AI developers building cutting-edge applications with large model sizes, a reliable foundation is non-negotiable. You need your AI to perform consistently, delivering results without hiccups, even under pressure. This means having dedicated resources that won’t get bogged down…