Summary:
La législation sur l’IA se concentre sur l’intégration des modèles d’IA avec des sources de données. Google adopte le Model Context Protocol (MCP) d’Anthropic, créant des connexions bidirectionnelles entre applications et systèmes de données. Cette tendance vers la normalisation des méthodes d’intégration souligne la nécessité de réglementations claires pour encadrer l’interconnexion des solutions d’IA générative, garantissant ainsi la sécurité et la conformité des données utilisées.
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Original Article:
Google is set to embrace Anthropic’s Model Context Protocol (MCP) for connecting AI models to data. This decision follows a similar move made by OpenAI just weeks earlier. In a post, Google DeepMind CEO Demis Hassabis shared that the company would implement support for MCP into its Gemini models and SDK, without specifying a timeline for this addition.
MCP allows AI models to access various data sources necessary for completing tasks, facilitating two-way connections between applications and data systems. Developers can create connections through MCP servers and clients. Since MCP was open-sourced by Anthropic, multiple companies have integrated its support into their platforms.
This initiative highlights a growing trend among AI companies to standardize methods for integrating data with generative AI models, reflecting the industry’s direction towards more interconnected AI solutions. Topics include AI, DeepMind, Gemini, Google, and MCP.