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Tag: .NET

  • Simon Willison’s Weblog: Quoting James Luan

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/8/james-luan/ Source: Simon Willison’s Weblog Title: Quoting James Luan Feedly Summary: I recently spoke with the CTO of a popular AI note-taking app who told me something surprising: they spend twice as much on vector search as they do on OpenAI API calls. Think about that for a second. Running the retrieval layer…

  • Simon Willison’s Weblog: Is the LLM response wrong, or have you just failed to iterate it?

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/7/is-the-llm-response-wrong-or-have-you-just-failed-to-iterate-it/#atom-everything Source: Simon Willison’s Weblog Title: Is the LLM response wrong, or have you just failed to iterate it? Feedly Summary: Is the LLM response wrong, or have you just failed to iterate it? More from Mike Caulfield (see also the SIFT method). He starts with a fantastic example of Google’s AI mode…

  • Simon Willison’s Weblog: Quoting Jason Liu

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/6/jason-liu/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Jason Liu Feedly Summary: I am once again shocked at how much better image retrieval performance you can get if you embed highly opinionated summaries of an image, a summary that came out of a visual language model, than using CLIP embeddings themselves. If you tell…

  • Simon Willison’s Weblog: Kimi-K2-Instruct-0905

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/6/kimi-k2-instruct-0905/#atom-everything Source: Simon Willison’s Weblog Title: Kimi-K2-Instruct-0905 Feedly Summary: Kimi-K2-Instruct-0905 New not-quite-MIT licensed model from Chinese Moonshot AI, a follow-up to the highly regarded Kimi-K2 model they released in July. This one is an incremental improvement – I’ve seen it referred to online as “Kimi K-2.1". It scores a little higher on a…

  • Simon Willison’s Weblog: Why I think the $1.5 billion Anthropic class action settlement may count as a win for Anthropic

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/6/anthropic-settlement/#atom-everything Source: Simon Willison’s Weblog Title: Why I think the $1.5 billion Anthropic class action settlement may count as a win for Anthropic Feedly Summary: Anthropic to pay $1.5 billion to authors in landmark AI settlement I wrote about the details of this case when it was found that Anthropic’s training on book…

  • Simon Willison’s Weblog: Introducing EmbeddingGemma

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/4/embedding-gemma/#atom-everything Source: Simon Willison’s Weblog Title: Introducing EmbeddingGemma Feedly Summary: Introducing EmbeddingGemma Brand new open weights (under the slightly janky Gemma license) 308M parameter embedding model from Google: Based on the Gemma 3 architecture, EmbeddingGemma is trained on 100+ languages and is small enough to run on less than 200MB of RAM with…

  • Simon Willison’s Weblog: Introducing gpt-realtime

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/1/introducing-gpt-realtime/#atom-everything Source: Simon Willison’s Weblog Title: Introducing gpt-realtime Feedly Summary: Introducing gpt-realtime Released a few days ago (August 28th), gpt-realtime is OpenAI’s new “most advanced speech-to-speech model". It looks like this is a replacement for the older gpt-4o-realtime-preview model that was released last October. This is a slightly confusing release. The previous realtime…

  • Simon Willison’s Weblog: Cloudflare Radar: AI Insights

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/1/cloudflare-radar-ai-insights/ Source: Simon Willison’s Weblog Title: Cloudflare Radar: AI Insights Feedly Summary: Cloudflare Radar: AI Insights Cloudflare launched this dashboard back in February, incorporating traffic analysis from Cloudflare’s network along with insights from their popular 1.1.1.1 DNS service. I found this chart particularly interesting, showing which documented AI crawlers are most active collecting…