Experimental News Clipping Site

Tag: Large Language Models (LLMs)

  • Docker: Unlocking Local AI on Any GPU: Docker Model Runner Now with Vulkan Support

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/docker-model-runner-vulkan-gpu-support/ Source: Docker Title: Unlocking Local AI on Any GPU: Docker Model Runner Now with Vulkan Support Feedly Summary: Running large language models (LLMs) on your local machine is one of the most exciting frontiers in AI development. At Docker, our goal is to make this process as simple and accessible as possible.…

  • Cloud Blog: 150 of the latest AI use cases from leading startups and digital natives

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/startups/150-ai-use-cases-leading-startups-and-digital-natives/ Source: Cloud Blog Title: 150 of the latest AI use cases from leading startups and digital natives Feedly Summary: We recently hosted our first-ever AI Builders Forum, where we gathered with hundreds of the top founders, VCs, advisors, researchers, and teams powering the startups who are building the future with AI. And…

  • Simon Willison’s Weblog: a system that can do work independently on behalf of the user

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Oct/6/work-independently/ Source: Simon Willison’s Weblog Title: a system that can do work independently on behalf of the user Feedly Summary: I’ve settled on agents as meaning “LLMs calling tools in a loop to achieve a goal" but OpenAI continue to muddy the waters with much more vague definitions. Swyx spotted this one in…

  • Simon Willison’s Weblog: Two more Chinese pelicans

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Oct/1/two-pelicans/#atom-everything Source: Simon Willison’s Weblog Title: Two more Chinese pelicans Feedly Summary: Two new models from Chinese AI labs in the past few days. I tried them both out using llm-openrouter: DeepSeek-V3.2-Exp from DeepSeek. Announcement, Tech Report, Hugging Face (690GB, MIT license). As an intermediate step toward our next-generation architecture, V3.2-Exp builds upon…

  • Tomasz Tunguz: The Future of AI Data Architecture: How Enterprises Are Building the Next Generation Stack

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    Kurt Seifried
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    Source URL: https://www.tomtunguz.com/future-ai-data-architecture-enterprise-stack/ Source: Tomasz Tunguz Title: The Future of AI Data Architecture: How Enterprises Are Building the Next Generation Stack Feedly Summary: The AI stack is still developing. Different companies experiment with various approaches, tools, and architectures as they figure out what works at scale. The complication is that patterns are beginning to coalesce…

  • The Register: When AI is trained for treachery, it becomes the perfect agent

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/09/29/when_ai_is_trained_for/ Source: The Register Title: When AI is trained for treachery, it becomes the perfect agent Feedly Summary: We’re blind to malicious AI until it hits. We can still open our eyes to stopping it Opinion Last year, The Register reported on AI sleeper agents. A major academic study explored how to train…

  • Simon Willison’s Weblog: Video models are zero-shot learners and reasoners

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/27/video-models-are-zero-shot-learners-and-reasoners/ Source: Simon Willison’s Weblog Title: Video models are zero-shot learners and reasoners Feedly Summary: Video models are zero-shot learners and reasoners Fascinating new paper from Google DeepMind which makes a very convincing case that their Veo 3 model – and generative video models in general – serve a similar role in the…