The 300-person startup hopes bringing designers aboard will give it an edge in an increasingly competitive AI software market. Cursor, the wildly popular AI coding startup, is launching a new feature that lets people design the look and feel of web applications with AI. The tool, Visual Editor, is essentially a vibe-coding product for designers, giving them access to the same fine-grained controls they'd expect from professional design software. But in addition to making changes manually, the tool lets them request edits from Cursor's AI agent using natural language. Cursor is best known for its AI coding platform, but with Visual Editor, the startup wants to capture other parts of the software creation process.

According to market-fixated tech pundits and professional skeptics, the artificial intelligence bubble has popped, and winter's back. In fact, Li--who earned the sobriquet the "godmother of AI"--is betting on the contrary. She's on a part-time leave from Stanford University to cofound a company called World Labs. While current generative AI is language-based, she sees a frontier where systems construct complete worlds with the physics, logic, and rich detail of our physical reality. It's an ambitious goal, and despite the dreary nabobs who say progress in AI has hit a grim plateau, World Labs is on the funding fast track.

Martin Casado is a general partner at venture-capital company Andreessen Horowitz, where he focuses on enterprise investing. Mr. Casado started his career at Lawrence Livermore National Laboratory, where he worked on large-scale simulations for the Defense Department. His work, first as a researcher and now as an investor, gives him insight into the development of artificial-intelligence products and usage. Wall Street Journal reporter Berber Jin spoke with Mr. Casado at The Wall Street Journal's CIO Network Summit about the current capabilities, and the possible future of, AI.

To fully realize the promise of IoT and the wealth of data it can provide, it's essential to connect it to artificial intelligence, aka. There are, however, several challenges associated with both running AI at the edge of networks and sharing databases securely. Combining AI and IoT enables "making a series of valuable predictions about devices that are embedded within the real world," said Christian Catalini, assistant professor of technological innovation, entrepreneurship and strategic management, and founder of the Cryptoeconomics Lab at Massachusetts Institute of Technology. "This allows you to change how you respond to changes in the environment and to new information coming in." But you can only make valuable predictions if you have access to good data. "Blockchain can help create marketplaces for data and their exchange, and also improve data privacy," Catalini added.