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  • Cloud Blog: How Confidential Computing lays the foundation for trusted AI

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/identity-security/how-confidential-computing-lays-the-foundation-for-trusted-ai/ Source: Cloud Blog Title: How Confidential Computing lays the foundation for trusted AI Feedly Summary: Confidential Computing has redefined how organizations can securely process their sensitive workloads in the cloud. The growth in our hardware ecosystem is fueling a new wave of adoption, enabling customers to use Confidential Computing to support cutting-edge…

  • Slashdot: Google Has a Big AI Advantage: It Already Knows Everything About You

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/05/22/1436255/google-has-a-big-ai-advantage-it-already-knows-everything-about-you Source: Slashdot Title: Google Has a Big AI Advantage: It Already Knows Everything About You Feedly Summary: AI Summary and Description: Yes Summary: Google’s introduction of “personal context” for its Gemini AI marks a significant evolution in AI assistants, enabling more personalized interactions by leveraging user data across its ecosystem. This approach…

  • Simon Willison’s Weblog: Devstral

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/21/devstral/#atom-everything Source: Simon Willison’s Weblog Title: Devstral Feedly Summary: Devstral New Apache 2.0 licensed LLM release from Mistral, this time specifically trained for code. Devstral achieves a score of 46.8% on SWE-Bench Verified, outperforming prior open-source SoTA models by more than 6% points. When evaluated under the same test scaffold (OpenHands, provided by…

  • Simon Willison’s Weblog: Gemini Diffusion

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/21/gemini-diffusion/ Source: Simon Willison’s Weblog Title: Gemini Diffusion Feedly Summary: Gemini Diffusion Another of the announcements from Google I/O yesterday was Gemini Diffusion, Google’s first LLM to use diffusion (similar to image models like Imagen and Stable Diffusion) in place of transformers. Google describe it like this: Traditional autoregressive language models generate text…

  • The Register: Microsoft-backed AI out-forecasts hurricane experts without crunching the physics

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/05/21/earth_system_model_hurricane_forecast/ Source: The Register Title: Microsoft-backed AI out-forecasts hurricane experts without crunching the physics Feedly Summary: LLM trained on decades of weather data claimed to be faster, and cheaper Scientists have developed a machine learning model that can outperform official agencies at predicting tropical cyclone tracks, and do it faster and cheaper than…

  • Tomasz Tunguz: My Prompt, My Reality

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    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/user-perception-quality/ Source: Tomasz Tunguz Title: My Prompt, My Reality Feedly Summary: “Now with LLMs, a bunch of the perceived quality depends on your prompt. So you have users that are prompting with different skills or different level of skills. And the outcome of that prompt may be perceived as low quality, but that’s…

  • Cloud Blog: Introducing AI.GENERATE_TABLE: creating structured data from gen AI models in BigQuery

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/convert-ai-generated-unstructured-data-to-a-bigquery-table/ Source: Cloud Blog Title: Introducing AI.GENERATE_TABLE: creating structured data from gen AI models in BigQuery Feedly Summary: The explosion of digital content from social media, smartphones, and other sources has created a massive amount of unstructured data like images, videos, and documents. To help you analyze this data, BigQuery is connected with…

  • Cloud Blog: A deep dive into AlloyDB’s vector search enhancements

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/databases/alloydb-ais-scann-index-improves-search-on-all-kinds-of-data/ Source: Cloud Blog Title: A deep dive into AlloyDB’s vector search enhancements Feedly Summary: If you’re building a generative AI application or an AI agent, there’s a high likelihood you’ll need to perform simultaneous searches on structured and unstructured data. For example, the prompt “Show me all pictures of sunsets I took…