🇯🇵 Japanese, 2 November 2026, AI development
AI for AI Advances Faster Than Expected, But AI for Humans Lags Behind
Stanford University professor Yejin Che criticizes the direction of AI industry development.
AI has made remarkable progress in solving mathematical problems and improving performance, but the speed at which it provides practical assistance to people’s daily lives and work is not meeting expectations.
Che points out that the industry structure, where resources are concentrated in a few big tech companies, is a major reason for this.
He suggests that developing small and affordable AI models that can be tailored to specific tasks and industries could be a better approach.