The Globe and Mail reports in its Friday edition that Demis Hassabis, one of the world's most influential artificial-intelligence experts, has a warning for the rest of the tech industry: Don't expect chatbots to continue to improve as quickly as they have over the past few years. A New York Times item inside The Globe says AI researchers have for some time been relying on a simple concept to improve their systems: The more data culled from the Internet that they pumped into large language models, the better those systems performed. But Mr. Hassabis, who oversees Google DeepMind, the company's primary AI lab, now says that method is running out of steam simply because tech companies are running out of data. "Everyone in the industry is seeing diminishing returns," Mr. Hassabis told The Times. Companies such as OpenAI, Google and Meta raced to get their hands on as much Internet data as possible. It was the modern equivalent of Moore's Law, the oft-quoted maxim coined in the 1960s by Intel co-founder Gordon Moore. He showed the number of transistors on a silicon chip doubled every two years or so, steadily increasing the power of the world's computers. Moore's Law held up for 40 years, but eventually it started to slow.