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Tag: machine learning systems

  • Wired: Exclusive: Mira Murati’s Stealth AI Lab Launches Its First Product

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    Kurt Seifried
    in

    Source URL: https://www.wired.com/story/thinking-machines-lab-first-product-fine-tune/ Source: Wired Title: Exclusive: Mira Murati’s Stealth AI Lab Launches Its First Product Feedly Summary: Thinking Machines Lab, led by a group of prominent former OpenAI researchers, is betting that fine tuning cutting-edge models will be the next frontier in AI. AI Summary and Description: Yes Summary: The text discusses the efforts…

  • The Register: DARPA amps up effort to make AI power-conscious

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/09/25/dapra_ai_power_conscious/ Source: The Register Title: DARPA amps up effort to make AI power-conscious Feedly Summary: New research program seeks ‘energy-aware’ ML that balances performance with power draw It’s notoriously difficult to consistently measure the energy usage of AI models, but DARPA wants to put an end to that uncertainty with new “energy-aware" machine…

  • 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…

  • The Register: Honey, I shrunk the image and now I’m pwned

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    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/08/21/google_gemini_image_scaling_attack/ Source: The Register Title: Honey, I shrunk the image and now I’m pwned Feedly Summary: Google’s Gemini-powered tools tripped up by image-scaling prompt injection Security researchers with Trail of Bits have found that Google Gemini CLI and other production AI systems can be deceived by image scaling attacks, a well-known adversarial challenge…