Tag: versatility

  • AWS News Blog: Introducing new compute-optimized Amazon EC2 C8i and C8i-flex instances

    Source URL: https://aws.amazon.com/blogs/aws/introducing-new-compute-optimized-amazon-ec2-c8i-and-c8i-flex-instances/ Source: AWS News Blog Title: Introducing new compute-optimized Amazon EC2 C8i and C8i-flex instances Feedly Summary: AWS launched compute-optimized C8i and C8i-flex EC2 instances powered by custom Intel Xeon 6 processors available only on AWS to offer up to 15% better price performance, 20% higher performance, and 2.5 times more memory throughput…

  • Cloud Blog: Announcing Claude Sonnet 4.5 on Vertex AI

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/announcing-claude-sonnet-4-5-on-vertex-ai/ Source: Cloud Blog Title: Announcing Claude Sonnet 4.5 on Vertex AI Feedly Summary: Today, we’re announcing the general availability of Claude Sonnet 4.5, Anthropic’s most intelligent model and its best-performing model for complex agents, coding, and computer use, on Vertex AI.Claude Sonnet 4.5 is built to work independently for hours, maintaining clarity…

  • Simon Willison’s Weblog: Video models are zero-shot learners and reasoners

    Source URL: https://simonwillison.net/2025/Sep/27/video-models-are-zero-shot-learners-and-reasoners/ Source: Simon Willison’s Weblog Title: Video models are zero-shot learners and reasoners Feedly Summary: Video models are zero-shot learners and reasoners Fascinating new paper from Google DeepMind which makes a very convincing case that their Veo 3 model – and generative video models in general – serve a similar role in the…

  • Tomasz Tunguz: Modernizing Agent Tools with Google ADK Patterns: 60% Token Reduction & Enterprise Safety

    Source URL: https://www.tomtunguz.com/modernizing-agent-tools-with-google-adk-patterns/ Source: Tomasz Tunguz Title: Modernizing Agent Tools with Google ADK Patterns: 60% Token Reduction & Enterprise Safety Feedly Summary: I recently discovered Google’s Agent Development Kit (ADK) and its architectural patterns for building LLM-powered applications. While ADK is a Python framework, its core design principles proved transformative when applied to my existing…

  • Slashdot: Google’s Gemini AI Is Coming To Your TV

    Source URL: https://entertainment.slashdot.org/story/25/09/22/2257230/googles-gemini-ai-is-coming-to-your-tv?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google’s Gemini AI Is Coming To Your TV Feedly Summary: AI Summary and Description: Yes Summary: Google’s Gemini AI assistant is being integrated into Google TV, enhancing user interactivity across over 300 million devices. This development highlights the growing trend towards conversational AI in home entertainment, retaining previous functionalities…

  • Simon Willison’s Weblog: Grok 4 Fast

    Source URL: https://simonwillison.net/2025/Sep/20/grok-4-fast/ Source: Simon Willison’s Weblog Title: Grok 4 Fast Feedly Summary: Grok 4 Fast New hosted reasoning model from xAI that’s designed to be fast and extremely competitive on price. It has a 2 million token context window and “was trained end-to-end with tool-use reinforcement learning". It’s priced at $0.20/million input tokens and…

  • Simon Willison’s Weblog: Magistral 1.2

    Source URL: https://simonwillison.net/2025/Sep/19/magistral/ Source: Simon Willison’s Weblog Title: Magistral 1.2 Feedly Summary: Mistral quietly released two new models yesterday: Magistral Small 1.2 (Apache 2.0, 96.1 GB on Hugging Face) and Magistral Medium 1.2 (not open weights same as Mistral’s other “medium" models.) Despite being described as "minor updates" to the Magistral 1.1 models these have…

  • Cloud Blog: Fast and efficient AI inference with new NVIDIA Dynamo recipe on AI Hypercomputer

    Source URL: https://cloud.google.com/blog/products/compute/ai-inference-recipe-using-nvidia-dynamo-with-ai-hypercomputer/ Source: Cloud Blog Title: Fast and efficient AI inference with new NVIDIA Dynamo recipe on AI Hypercomputer Feedly Summary: As generative AI becomes more widespread, it’s important for developers and ML engineers to be able to easily configure infrastructure that supports efficient AI inference, i.e., using a trained AI model to make…