HAi4M releases book on embodied AI and AGI path

HAi4M has released a two-volume book by CEO Jason Chen that argues general intelligence will come from embodied action in the real world, not bigger models alone. The book ties that vision to rehabilitation, brain-body-behavior intelligence, and the company’s experience across neurorehabilitation systems.

Why it matters: - HAi4M is positioning embodied AI as a route to AGI that could affect robotics, rehabilitation, and human-machine systems. - The book argues that intelligence becomes more capable when it learns through bodily action, real-world feedback, and consequences. - The framework links AI research with rehabilitation, where restoring human function depends on the same brain-body-behavior loop the book says machines must learn.

What happened: - HAi4M announced the release of The Path Toward Embodied AI & AGI: IBB Integral Ontology, a two-volume book by CEO Jason Chen developed through the AI × HAI Lab. - The release centers on a path from knowledge to knowing, embodiment, action, and world-generation. - Chen says the path to AGI begins when knowing enters action and intelligence stays coherent and responsible in an open world. - The book is available on Amazon as Volume 1 and Volume 2.

The details: - The book argues that large models have advanced from processing known information to showing the power to know, but that knowing is not the same as acting. - The text says a world model is not a lived world, and a robotic body alone does not make cognition ready for open-ended real life. - IBB stands for Intention, Body, and Behavior as One, and the book presents it as an integrated Brain–Body–Behavior Intelligence framework. - Under IBB, intention gives direction, the body gives form and limitation, behavior moves intelligence into tasks and environments, and consequence feeds back into future action. - The book says the body is not just a carrier for instructions; it is the field where intelligence is situated, tested, corrected, and made real. - The environment is described as an active participant that helps co-author intelligence through dynamic response. - Across 21 chapters, the book examines perception-action loops, temporality, physical intelligence, memory, VLA, JEPA, spatial intelligence, and world models. - The book also develops IBB through Human Body Modeling, Large Movement Models, brain-computer interfaces, CAREN, digital-intelligent twins, and human-machine-world co-learning.

Between the lines: - The book extends HAi4M’s existing rehabilitation work into a broader theory of intelligence. - The company is using rehabilitation as evidence that capability must be rebuilt through practice, feedback, and transfer into everyday life. - HAi4M says its experience through Hocoma AG and Motek Medical B.V. spans more than 1,800 neurorehabilitation centers and nearly 6,000 robotic and immersive systems supporting millions of patients. - That footprint gives the company a practical base for arguing that uncertainty, failure, and adaptation are central to embodied intelligence. - The vision shifts AGI away from a standalone machine and toward what the book calls an ecology of intelligence involving humans, machines, bodies, environments, institutions, and data. - In that framing, superintelligence is described as intelligence through all things, not over all things.

What's next: - HAi4M says the three-book sequence now traces a continuous arc from how knowing arises, to how it becomes embodied action, to how embodied intelligence becomes general intelligence in the living world. - The company is tying that intellectual framework to its Brain–Body–Behavior Intelligence platform. - The next practical test will be whether the IBB framework can inform future AI systems that learn adaptively in unfamiliar real-world settings.

The bottom line: - HAi4M is making a case that the next leap in AI will come from embodiment, rehabilitation-inspired learning, and systems that can act responsibly in the real world, not from scaling alone.