The Daily AI Briefing - 11/03/2025

Welcome to The Daily AI Briefing, here are today's headlines! Today we're exploring McDonald's massive AI transformation, Foxconn's impressive in-house language model, how to visualize data with AI, Salesforce's new agent marketplace, revelations about AI models "cheating," and a trending AI tool. The tech landscape continues evolving rapidly with major companies deploying innovative AI solutions across various sectors. Let's dive into these developments. McDonald's is implementing an ambitious AI-powered transformation across its 43,000 global restaurants in partnership with Google Cloud. The fast-food giant is deploying edge computing systems that enable real-time data processing and AI analysis directly in-store. These new systems will handle everything from predictive maintenance for kitchen equipment to computer vision for ensuring order accuracy. There's even a "generative AI virtual manager" in the works. With 70 million daily customers, McDonald's aims to address pain points while supporting employees managing multiple ordering channels like drive-through and delivery services. The company also plans to leverage customer data and AI for personalized promotions – imagine getting McFlurry deals on hot days based on your purchase history. As McDonald's joins Taco Bell, Wendy's, and others in embracing AI technology, we can expect the rest of the fast-food industry to follow this trend. In manufacturing news, Foxconn, the famous iPhone manufacturer, has announced its first large language model with advanced reasoning capabilities. What's remarkable is that "FoxBrain" was developed in-house in just four weeks using Nvidia's infrastructure. The model was trained on 120 Nvidia H100 GPUs using Taiwan's largest supercomputer, Taipei-1, with technical consulting from Nvidia's team. Built on Meta's Llama 3.1 architecture, FoxBrain is Taiwan's first model with advanced reasoning capabilities and is specifically optimized for traditional Chinese. It handles complex tasks like data analysis, mathematics, reasoning, and code generation, with performance approaching top models though still trailing behind DeepSeek. Foxconn plans to open-source FoxBrain and collaborate with partners to advance manufacturing and supply chain management applications. This rapid development raises an interesting question – if Foxconn can create an advanced reasoning model in four weeks, what's the holdup for Apple? For businesses looking to leverage AI for data insights, there's a practical approach to visualizing sales and feedback data using ChatGPT. This no-code method transforms your sales metrics and customer feedback into visual insights and actionable recommendations without specialized analytics tools. The process is straightforward: organize your sales and customer data in a simple CSV or table format, then ask ChatGPT to create appropriate charts showing relationships between sales performance and customer sentiment. You can request it to discover connections between purchasing patterns and feedback themes that might reveal hidden opportunities. Finally, prompt it to develop specific strategies based on the combined analysis, prioritizing improvements that address sales goals and customer satisfaction. For interactive visualizations, you can also use alternative tools like ChatGPT's Canvas feature or Claude Artifacts. Salesforce has launched AgentExchange, a new trusted marketplace for their Agentforce platform. This marketplace connects partners, developers, and "Agentblazers" with hundreds of ready-made solutions to help businesses accelerate innovation and participate in what Salesforce identifies as a $6 trillion digital labor market. The new features include partner-built components, access to trusted industry-specific agent solutions, and simplified discovery, trial, and purchase processes for AI solutions. This platform represents another step in Salesforce's commitment to making AI more accessible and practical for businesses of all