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Tag: language

  • Simon Willison’s Weblog: The lethal trifecta for AI agents: private data, untrusted content, and external communication

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/16/the-lethal-trifecta/#atom-everything Source: Simon Willison’s Weblog Title: The lethal trifecta for AI agents: private data, untrusted content, and external communication Feedly Summary: If you are a user of LLM systems that use tools (you can call them “AI agents" if you like) it is critically important that you understand the risk of combining tools…

  • Slashdot: Apple Migrates Its Password Monitoring Service to Swift from Java, Gains 40% Performance Uplift

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    by

    Kurt Seifried
    in

    Source URL: https://apple.slashdot.org/story/25/06/15/2126220/apple-migrates-its-password-monitoring-service-to-swift-from-java-gains-40-performance-uplift Source: Slashdot Title: Apple Migrates Its Password Monitoring Service to Swift from Java, Gains 40% Performance Uplift Feedly Summary: AI Summary and Description: Yes Summary: The article discusses Apple’s transition from Java to Swift for its global Password Monitoring service, resulting in significant performance improvements. The migration achieved a 40% increase in…

  • Simon Willison’s Weblog: Anthropic: How we built our multi-agent research system

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/14/multi-agent-research-system/#atom-everything Source: Simon Willison’s Weblog Title: Anthropic: How we built our multi-agent research system Feedly Summary: Anthropic: How we built our multi-agent research system OK, I’m sold on multi-agent LLM systems now. I’ve been pretty skeptical of these until recently: why make your life more complicated by running multiple different prompts in parallel…

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

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/14/llm-fragments-youtube/#atom-everything Source: Simon Willison’s Weblog Title: llm-fragments-youtube Feedly Summary: llm-fragments-youtube Excellent new LLM plugin by Agustin Bacigalup which lets you use the subtitles of any YouTube video as a fragment for running prompts against. I tried it out like this: llm install llm-fragments-youtube llm -f youtube:dQw4w9WgXcQ \ ‘summary of people and what they…

  • Slashdot: Meta Invests $14.3 Billion in Scale AI

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    Kurt Seifried
    in

    Source URL: https://tech.slashdot.org/story/25/06/13/0146238/meta-invests-143-billion-in-scale-ai?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Meta Invests $14.3 Billion in Scale AI Feedly Summary: AI Summary and Description: Yes Summary: Meta’s substantial $14.3 billion investment in Scale AI, along with the recruitment of its CEO, signifies a strategic initiative to enhance their AI capabilities, aiming specifically for advancements towards artificial general intelligence. This move…

  • Simon Willison’s Weblog: Agentic Coding Recommendations

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/12/agentic-coding-recommendations/ Source: Simon Willison’s Weblog Title: Agentic Coding Recommendations Feedly Summary: Agentic Coding Recommendations There’s a ton of actionable advice on using Claude Code in this new piece from Armin Ronacher. He’s getting excellent results from Go, especially having invested a bunch of work in making the various tools (linters, tests, development servers…

  • Cloud Blog: Accelerating innovation with Agent Assist, Looker (Google Cloud core) and Vertex AI Vector Search, now FedRAMP High authorized

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/public-sector/accelerating-innovation-with-agent-assist-looker-google-cloud-core-and-vertex-ai-vector-search-now-fedramp-high-authorized/ Source: Cloud Blog Title: Accelerating innovation with Agent Assist, Looker (Google Cloud core) and Vertex AI Vector Search, now FedRAMP High authorized Feedly Summary: In today’s rapidly evolving landscape, the need to protect highly sensitive government data remains paramount. Today, we reinforce our commitment to providing the highest level of assurance that…