
Rippling has unveiled the AI Spend Console, a tool aimed at helping companies track and manage their AI spending. This initiative follows Rippling's realization that it was spending a large portion of its R&D budget on AI tokens, with costs growing rapidly. The tool offers insights into employee and team AI usage, allowing companies to identify inefficiencies and optimize their AI model choices. As a result, Rippling has managed to reduce its AI token costs significantly while maintaining usage levels. This tool is available to Rippling's HR subscribers and can be integrated with other HR systems.
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© TechCrunch AICloudflare has introduced Kitesurf, a browser specifically designed for AI agents, marking a significant shift in how AI interacts with the web. Unlike traditional browsers, Kitesurf is optimized for AI tasks, focusing on performance and scalability rather than visual elements. Built on Cloudflare's serverless platform, Workers, it offers developers a more efficient alternative to Chromium for tasks like HTML extraction. This innovation allows AI developers to create software that navigates and interacts with websites without the overhead of building a browser from scratch.
© TechCrunch AIAlibaba is testing a new business model for its upcoming Qwen open-weight AI model, introducing revenue-sharing terms for commercial users. This move targets larger companies that profit from offering the model as a service, requiring them to enter a commercial agreement with Alibaba. The approach mirrors the licensing model used by Moonshot for its Kimi K3 model, which includes revenue-sharing for companies exceeding certain revenue thresholds. This shift signifies Alibaba's strategy to monetize its open-weight models while maintaining their open-source nature, potentially setting a precedent for other AI developers.
© GitHub ChangelogAirbnb is leveraging AI to significantly speed up its product development cycle, reducing the time from concept to launch by 60%. This has allowed the company to increase the number of features and improvements by nearly 80% compared to the same period last year. AI is being used in various areas such as search, sign-up, checkout, and payments, with a new AI search feature being tested that allows users to input natural language queries. While consumer-facing AI features have been slower to roll out, Airbnb's backend operations, particularly customer support, have seen substantial AI integration, reducing support costs and improving efficiency.
GitHub has rolled out a new feature for enterprise users, allowing them to manage which Model Context Protocol (MCP) servers their Copilot clients can access. This update empowers enterprise owners to approve trusted MCP servers and block those that are untrusted or non-compliant, enhancing security and compliance across their organizations. The feature is integrated into the enterprise managed settings, enabling teams to customize their own allow and deny lists. This development marks a significant step in giving enterprises more control over their AI tool usage, ensuring that only vetted servers are utilized.