TechCrunch AI
·
16 hours ago
Microsoft trained its sales team to directly criticize AI products from OpenAI and Anthropic during a Tuesday strategy meeting, positioning its own integrated system as superior for cost and efficiency. In performance comparisons of Copilot versus Claude within Microsoft's office applications, the company claimed Anthropic's model was slower, less accurate, and lacked proper security integrations. Microsoft is replacing OpenAI and Anthropic models in flagship products like Word and Excel with its own systems as it seeks to demonstrate the competitiveness of its in-house AI capabilities to investors concerned about its massive AI spending.
Hugging Face Blog
·
22 hours ago
A team building model routing for AI agents found that selecting which model to use for each task is not simply a classification problem but requires optimizing across multiple system constraints simultaneously. On the AppWorld Test Challenge with 417 tasks, Claude Sonnet cost $79 total while GPT-4.1 cost $155 despite lower per-token pricing, because Sonnet's cache-read pricing was more efficient for agent workloads that reuse context. Effective routing must balance cost, latency, accuracy, and compliance requirements together rather than treating task difficulty or model speed as isolated variables.
Hugging Face Blog
·
1 day ago
Thinking Machines released Inkling, an open-source multimodal language model with 1 trillion parameters that accepts images, text, and audio inputs natively. The model has 975 billion total parameters with 41 billion active at any time, supports a 1 million token context window, and was trained on 45 trillion tokens across multiple modalities. Inkling is available on Hugging Face with immediate support in transformers, SGLang, vLLM, and llama.cpp, enabling developers to build multimodal reasoning applications through fine-tuning or remote inference.
