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DocuSign plans to release AI-powered contract agents designed to analyze agreements, flag potential risks, and identify issues typically requiring human review. The U.S.-based company, which specializes in electronic signatures and digital contract management, offers software for online contract signing, management, and storage. The new AI agents will be integrated into DocuSign's Intelligent Agreement Management (IAM) platform, initially supporting procurement and sales processes. The system leverages the company's proprietary AI engine, Iris, which selects appropriate models based on specific use cases. DocuSign expects to make the first AI agents for sales and purchasing processes available by the end of 2025.

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OpenAI is developing a social network that multiple sources familiar with the matter say will resemble X. The project remains in an early stage, with an internal prototype focusing on ChatGPT's image generation capabilities and featuring a social feed. According to a report from The Verge, CEO Sam Altman has already sought feedback from outsiders on the concept. It remains unclear whether the network will launch as a standalone app or integrate as part of ChatGPT. Such a project would intensify Altman's rivalry with both Elon Musk and Mark Zuckerberg. One concept behind the prototype is that AI could help people share better content. Additionally, a social network would provide OpenAI with its own real-time data for training AI models, similar to what X and Meta already possess.

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Microsoft has launched "Computer Use" for Copilot Studio as an early research preview. This feature enables AI agents to interact with graphical user interfaces and is based on OpenAI's CUA, which also powers Operator. Unlike OpenAI's offering, Microsoft's agents can control not just websites but also desktop applications, and they run entirely on Microsoft's infrastructure. According to Microsoft, company data remains within the Microsoft Cloud and isn't used for model training. Potential applications include automated data entry, market research, and invoice processing. Microsoft positions this technology as an evolution of robotic process automation (RPA).

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Cohere has introduced Embed 4, a multimodal language model designed for semantic search across complex enterprise documents. The model can process a wide range of content types—including text, images, tables, charts, code, and handwritten scans—commonly found in financial reports, medical records, and industrial documentation. Embed 4 supports files up to 128,000 tokens, or approximately 200 pages, and is compatible with over 100 languages, including Arabic, French, and Japanese. According to Cohere, the model is intended for organizations building language model-powered assistants that require access to internal knowledge. The model can be deployed either on-premises or in a private cloud environment, a configuration aimed at sectors with strict data sensitivity requirements, such as healthcare and manufacturing. Cohere says Embed 4 is now available through its own platform, as well as via Microsoft Azure AI Foundry and Amazon SageMaker.

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