| Mobile Web

AI data race moves beyond chatbots to learning how humans work

The race to secure AI training data is shifting from improving chatbot answers to teaching systems how people actually work, Business Insider reported. Large language models have advanced using internet text, books and human ratings, but that approach has limits for building AI agents that handle complex work over hours or days. Companies are turning to reinforcement learning environments that simulate workplaces and reward task completion. Google, Tesla, Meta, Scale AI and Uber are cited as pursuing such efforts.