Le meilleur de l'écosystème IA et MCP, sélectionné chaque jour.
Yesterday was dominated by high-velocity updates from the major labs, with Google pushing the boundaries of multimodal RAG and inference speed, while OpenAI refreshed its flagship consumer experience.
The most significant technical shift comes from Google, where the Gemini API now supports multimodal retrieval in File Search. This is a critical win for developers building RAG systems that need to verify information across diverse media types without complex manual preprocessing. Simultaneously, the introduction of Multi-Token Prediction (MTP) for Gemma 4 promises a massive 3x boost in inference speed, addressing the latency bottlenecks that often hinder real-time agentic workflows.
On the product side, OpenAI has transitioned ChatGPT to GPT-5.5 Instant, focusing on reliability and personalization. Meanwhile, Anthropic is pivoting toward deep vertical integration, releasing a comprehensive roadmap for financial services adoption.
Today's stories:
The overarching theme of the day is a push toward industrial-grade reliability: faster inference, more accurate models, and clear enterprise adoption paths.
Google updates the Gemini API File Search tool to support multimodal retrieval. This allows developers to build more efficient and verifiable RAG systems by indexing and searching across diverse file types.
Google introduces Multi-Token Prediction (MTP) drafters for Gemma 4, achieving up to 3x faster inference speeds. This architectural improvement significantly reduces latency for real-time AI applications.
OpenAI releases GPT-5.5 Instant as the new default model for ChatGPT. The update brings improved accuracy, reduced hallucinations, and more granular personalization controls for users.
Anthropic provides a practical adoption roadmap and customer examples for integrating Claude into financial services. The guide focuses on compressing time-consuming workflows and improving operational efficiency.
