Summary:
La législation sur l’IA est centrée sur la standardisation des méthodes d’intégration des données avec les modèles d’IA générative, comme l’illustre l’adoption par Google du Model Context Protocol (MCP) d’Anthropic. Cette initiative met en lumière les préoccupations réglementaires concernant l’interconnexion des solutions d’IA, le partage de données et l’impact potentiel sur la sécurité et la vie privée, en reflétant une tendance croissante à la coopération au sein de l’industrie.
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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.