The Natural Path to General Intelligence

Biological agents are efficient, curious, self-organizing systems that anticipate the effects of their actions on the world while smoothly coping with noise and uncertainty. The human brain, while an essential source of inspiration for AI, is only one manifestation of such capacities, which characterize intelligence in nature at many scales. 

The hypothesis guiding research and development at VERSES AI is that artificial general intelligence (AGI) can be attained by discovering the deeper principles underlying biological intelligence and deploying them as design principles to construct cyber-physical ecosystems of intelligent agents in which humans are integral participants — what we call “shared intelligence”.  We originally laid out this vision for the present and future of AI in our white paper at the end of 2022.

Karl Friston (VERSES) and Yann LeCun (Meta)

How VERSES understands and applies the Free Energy Principle

Intelligence 3.0 with Chief Scientist Karl Friston

How active inference naturally derives from achieving homeostasis in Markov blanket subsystems.

Multi-Agent Learning with Lancelot Da Costa