Experimental News Clipping Site

Tag: Thought

  • New York Times – Artificial Intelligence : A.I. Was Coming for Radiologists’ Jobs. So Far, They’re Just More Efficient.

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.nytimes.com/2025/05/14/technology/ai-jobs-radiologists-mayo-clinic.html Source: New York Times – Artificial Intelligence Title: A.I. Was Coming for Radiologists’ Jobs. So Far, They’re Just More Efficient. Feedly Summary: Experts predicted that artificial intelligence would steal radiology jobs. But at the Mayo Clinic, the technology has been more friend than foe. AI Summary and Description: Yes Summary: The text…

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

    —

    by

    Kurt Seifried
    in

    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: Gemini 2.5 Models now support implicit caching

    —

    by

    Kurt Seifried
    in

    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":…

  • Anchore: How the US Navy Approaches DevSecOps with Raise 2.0

    —

    by

    Kurt Seifried
    in

    Source URL: https://anchore.com/videos/how-the-us-navy-approaches-devsecops-with-raise-2-0/ Source: Anchore Title: How the US Navy Approaches DevSecOps with Raise 2.0 Feedly Summary: The post How the US Navy Approaches DevSecOps with Raise 2.0 appeared first on Anchore. AI Summary and Description: Yes Summary: The text discusses the US Navy’s implementation of DevSecOps through the Raise 2.0 initiative, highlighting its relevance…

  • Anchore: SBOM Insights on LLMs, Compliance Attestations and Security Mental Models: Anchore Learning Week (Day 4)

    —

    by

    Kurt Seifried
    in

    Source URL: https://anchore.com/blog/sbom-insights-on-llms-compliance-attestations-and-security-mental-models-anchore-learning-week-day-4/ Source: Anchore Title: SBOM Insights on LLMs, Compliance Attestations and Security Mental Models: Anchore Learning Week (Day 4) Feedly Summary: Welcome to the fourth installment in our 5-part series on software bill of materials (SBOMs) In our previous posts, we’ve covered SBOM fundamentals, SBOM generation and scalable SBOM management. Now, we shift…

  • Simon Willison’s Weblog: Saying "hi" to Microsoft’s Phi-4-reasoning

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/6/phi-4-reasoning/#atom-everything Source: Simon Willison’s Weblog Title: Saying "hi" to Microsoft’s Phi-4-reasoning Feedly Summary: Microsoft released a new sub-family of models a few days ago: Phi-4 reasoning. They introduced them in this blog post celebrating a year since the release of Phi-3: Today, we are excited to introduce Phi-4-reasoning, Phi-4-reasoning-plus, and Phi-4-mini-reasoning – marking…

  • Simon Willison’s Weblog: Quoting Arvind Narayanan

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/5/arvind-narayanan/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Arvind Narayanan Feedly Summary: [On using generative AI for work despite the risk of errors:] AI is helpful despite being error-prone if it is faster to verify the output than it is to do the work yourself. For example, if you’re using it to find a…

  • Simon Willison’s Weblog: Qwen3-8B

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/2/qwen3-8b/#atom-everything Source: Simon Willison’s Weblog Title: Qwen3-8B Feedly Summary: Having tried a few of the Qwen 3 models now my favorite is a bit of a surprise to me: I’m really enjoying Qwen3-8B. I’ve been running prompts through the MLX 4bit quantized version, mlx-community/Qwen3-8B-4bit. I’m using llm-mlx like this: llm install llm-mlx llm…