Experimental News Clipping Site

Tag: experimentation

  • The Cloudflare Blog: Welcome to Developer Week 2025

    —

    by

    Kurt Seifried
    in

    Source URL: https://blog.cloudflare.com/welcome-to-developer-week-2025/ Source: The Cloudflare Blog Title: Welcome to Developer Week 2025 Feedly Summary: We’re kicking off Cloudflare’s 2025 Developer Week — our innovation week dedicated to announcements for developers. AI Summary and Description: Yes Summary: The text highlights Cloudflare’s Developer Week in 2025, focusing on advancements in AI, coding, and platform development for…

  • Simon Willison’s Weblog: Note on 5th April 2025

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/5/llama-4-notes/#atom-everything Source: Simon Willison’s Weblog Title: Note on 5th April 2025 Feedly Summary: Dropping a model release as significant as Llama 4 on a weekend is plain unfair! So far the best place to learn about the new model family is this post on the Meta AI blog. You can try them out…

  • Simon Willison’s Weblog: debug-gym

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/31/debug-gym/#atom-everything Source: Simon Willison’s Weblog Title: debug-gym Feedly Summary: debug-gym New paper and code from Microsoft Research that experiments with giving LLMs access to the Python debugger. They found that the best models could indeed improve their results by running pdb as a tool. They saw the best results overall from Claude 3.7…

  • Slashdot: Bloomberg’s AI-Generated News Summaries Had At Least 36 Errors Since January

    —

    by

    Kurt Seifried
    in

    Source URL: https://news.slashdot.org/story/25/03/30/1946224/bloombergs-ai-generated-news-summaries-had-at-least-36-errors-since-january?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Bloomberg’s AI-Generated News Summaries Had At Least 36 Errors Since January Feedly Summary: AI Summary and Description: Yes Summary: The text discusses Bloomberg’s experimentation with AI-generated summaries for journalism, highlighting both the potential benefits and challenges faced by the implementation of such technology. This case illustrates the growing trend…

  • Cloud Blog: Vertex AI Search and Generative AI (with Gemini) achieve FedRAMP High

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/public-sector/vertex-ai-search-and-generative-ai-with-gemini-achieve-fedramp-high/ Source: Cloud Blog Title: Vertex AI Search and Generative AI (with Gemini) achieve FedRAMP High Feedly Summary: In the rapidly evolving AI landscape, security remains paramount. Today, we reinforce that commitment with another significant achievement: FedRAMP High authorization for Google Vertex AI Search and Generative AI on Vertex AI.This follows our announcement…

  • Hacker News: Gemini 2.5: Our most intelligent AI model

    —

    by

    Kurt Seifried
    in

    Source URL: https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/ Source: Hacker News Title: Gemini 2.5: Our most intelligent AI model Feedly Summary: Comments AI Summary and Description: Yes Summary: The introduction of Gemini 2.5 highlights significant advancements in AI reasoning and performance capabilities, setting a new benchmark among AI models, particularly in complex tasks. For professionals in AI and cloud security,…

  • Cloud Blog: Anyscale powers AI compute for any workload using Google Compute Engine

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/anyscale-powers-ai-compute-for-any-workload-using-google-compute-engine/ Source: Cloud Blog Title: Anyscale powers AI compute for any workload using Google Compute Engine Feedly Summary: Over the past decade, AI has evolved at a breakneck pace, turning from a futuristic dream into a tool now accessible to everyone. One of the technologies that opened up this new era of AI…

  • Simon Willison’s Weblog: New audio models from OpenAI, but how much can we rely on them?

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/20/new-openai-audio-models/#atom-everything Source: Simon Willison’s Weblog Title: New audio models from OpenAI, but how much can we rely on them? Feedly Summary: OpenAI announced several new audio-related API features today, for both text-to-speech and speech-to-text. They’re very promising new models, but they appear to suffer from the ever-present risk of accidental (or malicious) instruction…