Physical AI

A developer used Anthropic's Claude AI assistant to create an interactive, walk-around simulation of an O'Neill cylinder, the classic rotating space habitat concept, aiming for physical accuracy. The project is available as a web demo, letting users explore the interior of the hypothetical space settlement. Discussion is centering on both the feasibility of such habitats and the growing role of AI coding assistants in building physics-based visualizations.

A new installment in an ongoing series on social physical AI argues that machine understanding of people should be treated as a continuous loop rather than a one-shot prediction. The piece, part of a 13-part discussion spanning AI, robotics and inclusive design, focuses on designing for repair, letting systems correct misreadings of social context through ongoing interaction with users and communities.

Fujitsu announced it will launch a trial environment for AI agents aimed at the retail sector. The system is designed to support store operations and business decision-making, helping retailers automate tasks and analyse data. The announcement signals Fujitsu's push into practical, industry-specific AI tools as companies test how agents can work alongside retail staff.

New research reports that neural networks can be trained to follow the laws of physics even when no explicit equations are provided, learning physical constraints directly from data. The approach could make AI models more reliable in scientific and engineering applications, and is drawing attention for bridging machine learning and physics-based modelling.

Nvidia has invested in Reactor, a startup working on world models — AI systems designed to understand and simulate physical environments. The backing comes as interest in world models intensifies across the AI industry, with major labs and investors treating the technology as a key next step beyond large language models. Nvidia's involvement signals its continued push to shape the direction of frontier AI development.

Nvidia has invested in Reactor, a startup working on world models, a technology area that is attracting significant venture funding. The move signals Nvidia's interest in AI systems that model physical environments, as investors pour money into startups competing in this emerging field alongside larger players building generative world simulators.