Experimental News Clipping Site

Tag: llms

  • Simon Willison’s Weblog: Vision Language Models (Better, Faster, Stronger)

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/13/vision-language-models/#atom-everything Source: Simon Willison’s Weblog Title: Vision Language Models (Better, Faster, Stronger) Feedly Summary: Vision Language Models (Better, Faster, Stronger) Extremely useful review of the last year in vision and multi-modal LLMs. So much has happened! I’m particularly excited about the range of small open weight vision models that are now available. Models…

  • Simon Willison’s Weblog: Quoting Luke Kanies

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/13/luke-kanies/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Luke Kanies Feedly Summary: I did find one area where LLMs absolutely excel, and I’d never want to be without them: AIs can find your syntax error 100x faster than you can. They’ve been a useful tool in multiple areas, to my surprise. But this is…

  • CSA: Agentic AI: Understanding Its Evolution, Risks, and Security Challenges

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    Kurt Seifried
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    Source URL: https://www.troj.ai/blog/agentic-ai-risks-and-security-challenges Source: CSA Title: Agentic AI: Understanding Its Evolution, Risks, and Security Challenges Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses the evolution and significance of agentic AI systems, highlighting the complexities and security challenges that arise from their autonomous and adaptive nature. It emphasizes the need for robust governance,…

  • Simon Willison’s Weblog: Cursor: Security

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/11/cursor-security/#atom-everything Source: Simon Willison’s Weblog Title: Cursor: Security Feedly Summary: Cursor: Security Cursor’s security documentation page includes a surprising amount of detail about how the Cursor text editor’s backend systems work. I’ve recently learned that checking an organization’s list of documented subprocessors is a great way to get a feel for how everything…

  • Simon Willison’s Weblog: Trying out llama.cpp’s new vision support

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/10/llama-cpp-vision/#atom-everything Source: Simon Willison’s Weblog Title: Trying out llama.cpp’s new vision support Feedly Summary: This llama.cpp server vision support via libmtmd pull request – via Hacker News – was merged earlier today. The PR finally adds full support for vision models to the excellent llama.cpp project. It’s documented on this page, but the…

  • Cloud Blog: From LLMs to image generation: Accelerate inference workloads with AI Hypercomputer

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/ai-hypercomputer-inference-updates-for-google-cloud-tpu-and-gpu/ Source: Cloud Blog Title: From LLMs to image generation: Accelerate inference workloads with AI Hypercomputer Feedly Summary: From retail to gaming, from code generation to customer care, an increasing number of organizations are running LLM-based applications, with 78% of organizations in development or production today. As the number of generative AI applications…

  • CSA: The OWASP Top 10 for LLMs: CSA’s Defense Playbook

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    Kurt Seifried
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    Source URL: https://cloudsecurityalliance.org/articles/the-owasp-top-10-for-llms-csa-s-strategic-defense-playbook Source: CSA Title: The OWASP Top 10 for LLMs: CSA’s Defense Playbook Feedly Summary: AI Summary and Description: Yes Summary: The text outlines the OWASP Top 10 vulnerabilities specific to large language models (LLMs) and provides actionable guidance from the Cloud Security Alliance (CSA) to mitigate these risks. This is crucial for…

  • Simon Willison’s Weblog: Gemini 2.5 Models now support implicit caching

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/9/gemini-implicit-caching/#atom-everything Source: Simon Willison’s Weblog Title: Gemini 2.5 Models now support implicit caching Feedly Summary: Gemini 2.5 Models now support implicit caching I just spotted a cacheTokensDetails key in the token usage JSON while running a long chain of prompts against Gemini 2.5 Flash – despite not configuring caching myself: {“cachedContentTokenCount": 200658, "promptTokensDetails":…