Experimental News Clipping Site

Tag: Rank

  • Anton on Security – Medium: Anton’s Security Blog Quarterly Q2 2025

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    Kurt Seifried
    in

    Source URL: https://medium.com/anton-on-security/antons-security-blog-quarterly-q2-2025-9b97cc9cd3b3?source=rss—-8e8c3ed26c4c—4 Source: Anton on Security – Medium Title: Anton’s Security Blog Quarterly Q2 2025 Feedly Summary: AI Summary and Description: Yes **Summary:** This text provides an overview of various blog posts, papers, and podcasts related to security, specifically focusing on topics such as cloud security, SOC operations, threat detection, and AI security. It…

  • Cloud Blog: How to use Gemini 2.5 to fine-tune video outputs on Vertex AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-to-fine-tune-video-outputs-using-vertex-ai/ Source: Cloud Blog Title: How to use Gemini 2.5 to fine-tune video outputs on Vertex AI Feedly Summary: Recently, we announced Gemini 2.5 is generally available on Vertex AI. As part of this update, tuning capabilities have extended beyond text outputs – now, you can tune image, audio, and video outputs on…

  • Docker: Docker State of App Dev: Security

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/docker-state-of-app-dev-security/ Source: Docker Title: Docker State of App Dev: Security Feedly Summary: Security is a team sport: why everyone owns it now Six security takeaways from Docker’s 2025 State of Application Development Report. In the evolving world of software development, one thing is clear — security is no longer a siloed specialty. It’s…

  • Slashdot: How Do Olympiad Medalists Judge LLMs in Competitive Programming?

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/06/17/149238/how-do-olympiad-medalists-judge-llms-in-competitive-programming?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: How Do Olympiad Medalists Judge LLMs in Competitive Programming? Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a newly established benchmark demonstrating that large language models (LLMs) are not yet capable of outperforming elite human coders, particularly in problem-solving contexts. The findings indicate limitations in the…

  • Simon Willison’s Weblog: Anthropic: How we built our multi-agent research system

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/14/multi-agent-research-system/#atom-everything Source: Simon Willison’s Weblog Title: Anthropic: How we built our multi-agent research system Feedly Summary: Anthropic: How we built our multi-agent research system OK, I’m sold on multi-agent LLM systems now. I’ve been pretty skeptical of these until recently: why make your life more complicated by running multiple different prompts in parallel…

  • Cloud Blog: New G4 VMs with NVIDIA RTX PRO 6000 Blackwell power AI, graphics, gaming and beyond

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/introducing-g4-vm-with-nvidia-rtx-pro-6000/ Source: Cloud Blog Title: New G4 VMs with NVIDIA RTX PRO 6000 Blackwell power AI, graphics, gaming and beyond Feedly Summary: Today, we’re excited to announce the preview of our new G4 VMs based on NVIDIA RTX PRO 6000 Blackwell Server edition — the first cloud provider to do so. This follows…

  • Simon Willison’s Weblog: Qwen3 Embedding

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/8/qwen3-embedding/#atom-everything Source: Simon Willison’s Weblog Title: Qwen3 Embedding Feedly Summary: Qwen3 Embedding New family of embedding models from Qwen, in three sizes: 0.6B, 4B, 8B – and two categories: Text Embedding and Text Reranking. The full collection can be browsed on Hugging Face. The smallest available model is the 0.6B Q8 one, which…