Experimental News Clipping Site

Tag: generative

  • Simon Willison’s Weblog: Note on 14th April 2025

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/14/believe/ Source: Simon Willison’s Weblog Title: Note on 14th April 2025 Feedly Summary: Believing AI vendors who promise you that they won’t train on your data is a huge competitive advantage these days. Tags: llms, generative-ai, ai AI Summary and Description: Yes Summary: The assertion regarding AI vendors’ claims about not training on…

  • New York Times – Artificial Intelligence : Teachers Worry About A.I. for Students. For Themselves It’s Another Matter.

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    Kurt Seifried
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    Source URL: https://www.nytimes.com/2025/04/14/us/schools-ai-teachers-writing.html Source: New York Times – Artificial Intelligence Title: Teachers Worry About A.I. for Students. For Themselves It’s Another Matter. Feedly Summary: Educators are increasingly using generative A.I. in their own work, even as they express profound hesitation about the ethics of student use. AI Summary and Description: Yes Summary: The text highlights…

  • Simon Willison’s Weblog: Using LLMs as the first line of support in Open Source

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/14/llms-as-the-first-line-of-support/ Source: Simon Willison’s Weblog Title: Using LLMs as the first line of support in Open Source Feedly Summary: Using LLMs as the first line of support in Open Source From reading the title I was nervous that this might involve automating the initial response to a user support query in an issue…

  • Simon Willison’s Weblog: Quoting Andrew Nesbitt

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/12/andrew-nesbitt/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Andrew Nesbitt Feedly Summary: Slopsquatting — when an LLM hallucinates a non-existent package name, and a bad actor registers it maliciously. The AI brother of typosquatting. Credit to @sethmlarson for the name — Andrew Nesbitt Tags: ai-ethics, slop, packaging, generative-ai, supply-chain, ai, llms, seth-michael-larson AI Summary…

  • Cloud Blog: 229 things we announced at Google Cloud Next 25 – a recap

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/google-cloud-next/google-cloud-next-2025-wrap-up/ Source: Cloud Blog Title: 229 things we announced at Google Cloud Next 25 – a recap Feedly Summary: Google Cloud Next 25 took place this week and we’re all still buzzing! It was a jam-packed week in Las Vegas complete with interactive experiences, including more than 10 keynotes and spotlights, 700 sessions,…

  • Cloud Blog: Next 25 developer keynote: From prompt, to agent, to work, to fun

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/google-cloud-next/next25-developer-keynote-recap/ Source: Cloud Blog Title: Next 25 developer keynote: From prompt, to agent, to work, to fun Feedly Summary: Attending a tech conference like Google Cloud Next can feel like drinking from a firehose — all the news, all the sessions, and breakouts, all the learning and networking… But after a busy couple…

  • Simon Willison’s Weblog: llm-fragments-rust

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/11/llm-fragments-rust/#atom-everything Source: Simon Willison’s Weblog Title: llm-fragments-rust Feedly Summary: llm-fragments-rust Inspired by Filippo Valsorda’s llm-fragments-go, Francois Garillot created llm-fragments-rust, an LLM fragments plugin that lets you pull documentation for any Rust crate directly into a prompt to LLM. I really like this example, which uses two fragments to load documentation for two crates…

  • CSA: The Right to Be Forgotten – But Can AI Forget?

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    Kurt Seifried
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    Source URL: https://cloudsecurityalliance.org/blog/2025/04/11/the-right-to-be-forgotten-but-can-ai-forget Source: CSA Title: The Right to Be Forgotten – But Can AI Forget? Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the challenges associated with the “Right to be Forgotten” under the GDPR in the context of AI, particularly with large language models (LLMs). It highlights the complexities of…