Tag: my

  • Cloud Blog: Google’s AI-powered next-generation global network: Built for the Gemini era

    Source URL: https://cloud.google.com/blog/products/networking/google-global-network-principles-and-innovations/ Source: Cloud Blog Title: Google’s AI-powered next-generation global network: Built for the Gemini era Feedly Summary: From answering search queries, to streaming YouTube videos, to handling the most demanding cloud workloads, for over 25 years, we’ve been relentlessly pushing the boundaries of network technology, building a global infrastructure that powers Google and…

  • Simon Willison’s Weblog: Mistral Small 3.1 on Ollama

    Source URL: https://simonwillison.net/2025/Apr/8/mistral-small-31-on-ollama/#atom-everything Source: Simon Willison’s Weblog Title: Mistral Small 3.1 on Ollama Feedly Summary: Mistral Small 3.1 on Ollama Mistral Small 3.1 (previously) is now available through Ollama, providing an easy way to run this multi-modal (vision) model on a Mac (and other platforms, though I haven’t tried them myself yet). I had to…

  • ISC2 Think Tank: DeepSeek Deep Dive: Uncovering the Opportunities and Risks

    Source URL: https://www.brighttalk.com/webcast/5385/638002 Source: ISC2 Think Tank Title: DeepSeek Deep Dive: Uncovering the Opportunities and Risks Feedly Summary: In January 2025, the Chinese open-source artificial intelligence tool DeepSeek caused huge ripples in the AI market, granting user organizations affordable access to powerful LLMs. While this industry-disrupting innovation is indicative of the myriad opportunities that open-source…

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

    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…

  • Slashdot: Wikimedia Drowning in AI Bot Traffic as Crawlers Consume 65% of Resources

    Source URL: https://news.slashdot.org/story/25/04/04/2357233/wikimedia-drowning-in-ai-bot-traffic-as-crawlers-consume-65-of-resources Source: Slashdot Title: Wikimedia Drowning in AI Bot Traffic as Crawlers Consume 65% of Resources Feedly Summary: AI Summary and Description: Yes Summary: The text highlights an emerging issue faced by the Wikimedia Foundation, where web crawlers are significantly impacting their infrastructure by overwhelming it with automated traffic, particularly for training AI…