The term AI winter refers to a period of funding cuts in AI research and development, often following overhyped expectations that fail to deliver. With recent generative AI systems falling short of investor promises — from OpenAI’s GPT-4o to Google’s AI-powered overviews — this pattern feels all too familiar today. Read the full article here: https://www.artificialintelligence-news.com/news/ai-winter-cycle-of-hype-disappointment-and-recovery/
Japan’s answer to its worker shortage: An AI model for 10 million robots
Japan’s AI robots plan just went from a talking point to a formal
July 17, 2026
