Tag: V3

  • Simon Willison’s Weblog: Two more Chinese pelicans

    Source URL: https://simonwillison.net/2025/Oct/1/two-pelicans/#atom-everything Source: Simon Willison’s Weblog Title: Two more Chinese pelicans Feedly Summary: Two new models from Chinese AI labs in the past few days. I tried them both out using llm-openrouter: DeepSeek-V3.2-Exp from DeepSeek. Announcement, Tech Report, Hugging Face (690GB, MIT license). As an intermediate step toward our next-generation architecture, V3.2-Exp builds upon…

  • AWS News Blog: DeepSeek-V3.1 model now available in Amazon Bedrock

    Source URL: https://aws.amazon.com/blogs/aws/deepseek-v3-1-now-available-in-amazon-bedrock/ Source: AWS News Blog Title: DeepSeek-V3.1 model now available in Amazon Bedrock Feedly Summary: AWS launches DeepSeek-V3.1 as a fully managed models in Amazon Bedrock. DeepSeek-V3.1 is a hybrid open weight model that switches between thinking mode for detailed step-by-step analysis and non-thinking mode for faster responses. AI Summary and Description: Yes…

  • Cisco Talos Blog: Microsoft Patch Tuesday for September 2025 – Snort rules and prominent vulnerabilities

    Source URL: https://blog.talosintelligence.com/microsoft-patch-tuesday-september-2025/ Source: Cisco Talos Blog Title: Microsoft Patch Tuesday for September 2025 – Snort rules and prominent vulnerabilities Feedly Summary: Microsoft has released its monthly security update for September 2025, which includes 86 vulnerabilities affecting a range of products. AI Summary and Description: Yes Summary: The text details Microsoft’s September 2025 security update…

  • Cloud Blog: How Baseten achieves 225% better cost-performance for AI inference (and you can too)

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-baseten-achieves-better-cost-performance-for-ai-inference/ Source: Cloud Blog Title: How Baseten achieves 225% better cost-performance for AI inference (and you can too) Feedly Summary: Baseten is one of a growing number of AI infrastructure providers, helping other startups run their models and experiments at speed and scale. Given the importance of those two factors to its customers,…

  • Simon Willison’s Weblog: DeepSeek 3.1

    Source URL: https://simonwillison.net/2025/Aug/22/deepseek-31/#atom-everything Source: Simon Willison’s Weblog Title: DeepSeek 3.1 Feedly Summary: DeepSeek 3.1 The latest model from DeepSeek, a 685B monster (like DeepSeek v3 before it) but this time it’s a hybrid reasoning model. DeepSeek claim: DeepSeek-V3.1-Think achieves comparable answer quality to DeepSeek-R1-0528, while responding more quickly. Drew Breunig points out that their benchmarks…

  • The Register: DeepSeek’s new V3.1 release points to potent new Chinese chips coming soon

    Source URL: https://www.theregister.com/2025/08/22/deepseek_v31_chinese_chip_hints/ Source: The Register Title: DeepSeek’s new V3.1 release points to potent new Chinese chips coming soon Feedly Summary: Point release retuned with new FP8 datatype for better compatibility with homegrown silicon Chinese AI darling DeepSeek unveiled an update to its flagship large language model that the company claims is already optimized for…