Chinese-born American computer scientist; Stanford professor and AI pioneer
SoftBank founder Masayoshi Son has argued that building data centers in space will not meaningfully cut costs and will be difficult to implement soon. Earth-based compute remains central to winning the AI race, according to his remarks at a SoftBank shareholder meeting, with space infrastructure posing higher upfront costs and logistical challenges.
AI researchers push beyond language models toward embodied intelligence. World models aim to teach AI agents to react in physical environments, with robotics data pipelines and real-world testing becoming the focus for the next frontier.
A wave of AI hardware standards and physics-focused models is driving enterprise adoption, with startups and giants racing to interoperate tools, open standards, and better data for real-world AI deployments. Updates cover new hardware interfaces, robotics training advances, and the shift from cloud-only AI to agents operating in physical environments.