Tag: limitations

  • Scott Logic: Tools for measuring Cloud Carbon Emissions (updated for 2025)

    Source URL: https://blog.scottlogic.com/2025/05/20/tools-for-measuring-cloud-carbon-emissions-updated-for-2025.html Source: Scott Logic Title: Tools for measuring Cloud Carbon Emissions (updated for 2025) Feedly Summary: In this post I’ll discuss ways of estimating the emissions caused by your Cloud workloads as a first step towards reaching your organisation’s Net Zero goals. AI Summary and Description: Yes **Summary:** The text provides a comprehensive…

  • Slashdot: Google Brings AI-Powered Live Translation To Meet

    Source URL: https://tech.slashdot.org/story/25/05/20/1750258/google-brings-ai-powered-live-translation-to-meet?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Brings AI-Powered Live Translation To Meet Feedly Summary: AI Summary and Description: Yes Summary: Google is enhancing its Meet platform with AI-powered live translation that allows real-time communication in different languages while preserving the speaker’s vocal characteristics. Initially supporting English-Spanish, this technology faces some limitations in performance but…

  • Simon Willison’s Weblog: qwen2.5vl in Ollama

    Source URL: https://simonwillison.net/2025/May/18/qwen25vl-in-ollama/#atom-everything Source: Simon Willison’s Weblog Title: qwen2.5vl in Ollama Feedly Summary: qwen2.5vl in Ollama Ollama announced a complete overhaul of their vision support the other day. Here’s the first new model they’ve shipped since then – a packaged version of Qwen 2.5 VL which was first released on January 26th 2025. Here are…

  • CSA: Applying NIST CSF 2.0 to Hypervisor Security

    Source URL: https://valicyber.com/resources/zerolocks-alignment-with-nist-csf-2-0-for-hypervisor-security/ Source: CSA Title: Applying NIST CSF 2.0 to Hypervisor Security Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses the application of the NIST Cybersecurity Framework (CSF) 2.0 to enhance security for hypervisors within virtualized environments. It highlights the importance of identification, protection, detection, response, and recovery functions crucial for…

  • The Register: Anthropic’s law firm throws Claude under the bus over citation errors in court filing

    Source URL: https://www.theregister.com/2025/05/15/anthopics_law_firm_blames_claude_hallucinations/ Source: The Register Title: Anthropic’s law firm throws Claude under the bus over citation errors in court filing Feedly Summary: AI footnote fail triggers legal palmface in music copyright spat An attorney defending AI firm Anthropic in a copyright case brought by music publishers apologized to the court on Thursday for citation…

  • Cloud Blog: Google Cloud announces first-of-its-kind generative AI leader certification

    Source URL: https://cloud.google.com/blog/topics/training-certifications/new-google-cloud-certification-in-generative-ai/ Source: Cloud Blog Title: Google Cloud announces first-of-its-kind generative AI leader certification Feedly Summary: Organizations are rapidly integrating generative AI in ways that directly impact all employees, not just technical teams. We’re seeing this across a variety of customer use cases. For instance, Mark Cuban’s Cost Plus Drugs reports employees saving an…

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

    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

    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…