A New Rust-to-CUDA Compiler is Here

Uber Integrates Advanced AI Across Its Global Logistics Network

Uber has rolled out an AI-powered assistant for drivers, offering real-time advice tailored to each city's unique traffic patterns and regulations. This tool helps drivers make quicker decisions by analyzing live data, cutting down the time it takes for new drivers to learn the routes. The rider side features voice commands for booking rides, catering to those with disabilities or anyone needing a hands-free option. The AI system also manages Uber's back-end operations, handling pricing and routing across 70 countries. It now contributes to 11% of live updates, up from nearly nothing three months ago. This shift reduces costs by scaling AI usage according to demand. Looking ahead, Uber aims to expand its AI capabilities further, ensuring drivers and riders trust the system enough to keep using it.

AI Runs Experimental Cafe in Stockholm

Andon Labs put an artificial intelligence agent in charge of a cafe in Stockholm. The AI agent oversees most aspects of the business, from hiring staff to managing inventory. The cafe has made over $5,700 in sales since it opened in mid-April, but it is struggling to turn a profit. Many customers have found it amusing to visit a business run by AI. The experiment raises concerns about AI's role in the future, with experts worrying about the technology's impact on society and the environment, and the cafe will continue to operate as a test of AI's capabilities.

AI Chatbots Come to CarPlay

Three AI chatbot apps now work with CarPlay. They are ChatGPT, Perplexity, and Grok. These apps let users have voice conversations in their cars. ChatGPT also shows collections of chats based on a topic. Grok lets users switch between voices. More AI chatbot apps may be added to CarPlay soon.

Cisco AI Defense Integrates with Google Agent Development Kit

Cisco AI Defense now integrates with Google's Agent Development Kit to provide runtime protection for AI agents. This integration allows developers to attach security controls to their agents without disrupting their workflow. The integration is important because it helps protect against security risks associated with AI agents, such as untrusted prompt content influencing tool behavior and sensitive data being sent back into the model. With this integration, developers can use just two lines of code to add security controls to their local ADK agent. The protected agent can then be deployed to Agent Runtime without requiring a different security pattern, making it easier to keep AI agents secure. Cisco AI Defense will continue to expand its security capabilities for AI agents.

Coder Agents Allow AI Coding Workflows on Self-Hosted Infrastructure

Coder Agents is a new platform that lets organizations run AI coding agents on their own infrastructure. This means teams can control their code, data, and execution environments. The platform breaks the link between agent tools and model providers. It gives teams a common platform to standardize workflows. This allows them to choose and switch between models. The platform also provides a conversational interface and API for assigning tasks. Over 550,000 developers may use this platform each month. It will help them run AI coding workflows on their own infrastructure in the future.