Tag: models

  • Simon Willison’s Weblog: Quoting Andrew Ng

    Source URL: https://simonwillison.net/2025/Apr/18/andrew-ng/ Source: Simon Willison’s Weblog Title: Quoting Andrew Ng Feedly Summary: To me, a successful eval meets the following criteria. Say, we currently have system A, and we might tweak it to get a system B: If A works significantly better than B according to a skilled human judge, the eval should give…

  • Simon Willison’s Weblog: Image segmentation using Gemini 2.5

    Source URL: https://simonwillison.net/2025/Apr/18/gemini-image-segmentation/ Source: Simon Willison’s Weblog Title: Image segmentation using Gemini 2.5 Feedly Summary: Max Woolf pointed out this new feature of the Gemini 2.5 series in a comment on Hacker News: One hidden note from Gemini 2.5 Flash when diving deep into the documentation: for image inputs, not only can the model be…

  • Simon Willison’s Weblog: MCP Run Python

    Source URL: https://simonwillison.net/2025/Apr/18/mcp-run-python/ Source: Simon Willison’s Weblog Title: MCP Run Python Feedly Summary: MCP Run Python Pydantic AI’s MCP server for running LLM-generated Python code in a sandbox. They ended up using a trick I explored two years ago: using a Deno process to run Pyodide in a WebAssembly sandbox. Here’s a bit of a…

  • Slashdot: Microsoft Researchers Develop Hyper-Efficient AI Model That Can Run On CPUs

    Source URL: https://slashdot.org/story/25/04/17/2224205/microsoft-researchers-develop-hyper-efficient-ai-model-that-can-run-on-cpus?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft Researchers Develop Hyper-Efficient AI Model That Can Run On CPUs Feedly Summary: AI Summary and Description: Yes Summary: Microsoft has launched BitNet b1.58 2B4T, a highly efficient 1-bit AI model featuring 2 billion parameters, optimized for CPU use and accessible under an MIT license. It surpasses competitors in…

  • Simon Willison’s Weblog: Start building with Gemini 2.5 Flash

    Source URL: https://simonwillison.net/2025/Apr/17/start-building-with-gemini-25-flash/ Source: Simon Willison’s Weblog Title: Start building with Gemini 2.5 Flash Feedly Summary: Start building with Gemini 2.5 Flash Google Gemini’s latest model is Gemini 2.5 Flash, available in (paid) preview as gemini-2.5-flash-preview-04-17. Building upon the popular foundation of 2.0 Flash, this new version delivers a major upgrade in reasoning capabilities, while…

  • Slashdot: ChatGPT Models Are Surprisingly Good At Geoguessing

    Source URL: https://yro.slashdot.org/story/25/04/17/1941258/chatgpt-models-are-surprisingly-good-at-geoguessing?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: ChatGPT Models Are Surprisingly Good At Geoguessing Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a concerning trend related to the use of OpenAI’s new models, o3 and o4-mini, for deducing locations from images, raising potential privacy issues. The models’ advanced image analysis capabilities combined with…

  • CSA: Cloud File Transfer: Most Secure Cloud Configuration

    Source URL: https://blog.axway.com/product-insights/managed-file-transfer/upgrade-with-cloud-mft Source: CSA Title: Cloud File Transfer: Most Secure Cloud Configuration Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses the necessary transition from Managed File Transfer (MFT) solutions to cloud-native approaches, emphasizing the modernization driven by cloud adoption. It highlights the growing complexity of MFT, the benefits of cloud solutions,…

  • CSA: Zero Trust & the Evolution of Cyber Security

    Source URL: https://cloudsecurityalliance.org/articles/zero-trust-is-not-enough-evolving-cloud-security-in-2025 Source: CSA Title: Zero Trust & the Evolution of Cyber Security Feedly Summary: AI Summary and Description: Yes Summary: The text critiques the limitations of the Zero Trust security model in modern cloud environments and proposes evolving security strategies that incorporate AI, decentralized identity management, and adaptive trust models. This is relevant…