In December 2022, VERSES AI set forth a sweeping vision for artificial intelligence based on a distributed, collective real-time knowledge graph, comprised of Intelligent Agents operating on the physics of intelligence itself. In their whitepaper, titled “Designing Ecosystems of Intelligence from First Principles,” they propose a profound departure from standard notions of AI as a monolithic system. This groundbreaking new artificial intelligence paradigm is gaining momentum, thanks to a major discovery proving its underlying scientific theory – the Free Energy Principle (FEP) by the world’s most cited neuroscientist, Dr. Karl J. Friston.
Dr. Karl J. Friston is the most cited neuroscientist in the world, celebrated for his work in brain imaging and physics inspired brain theory. He also happens to be the Chief Scientist at VERSES AI, working on an entirely new kind of AI called Active Inference AI, based on the Free Energy Principle (FEP) — Karl’s theory that has just been proven by researchers in Japan to explain how the brain learns.
“Our results suggest that the free-energy principle is the self-organizing principle of biological neural networks.”
– Takuya Isomura, RIKEN
I recently sat down with Daniel Friedman, president of the Active Inference Institute. The insights from this conversation promise to shine a light on the curious realm of active inference and its potential to reshape our understanding of decision-making processes and the future of AI.
Talking AI benefits and dangers, AI Governance, as well as how to deal with the transition period for humanity between now & achieving AGI, and ultimately ASI.
In the groundbreaking report, “The Future of Global AI Governance”, VERSES AI offers the framework for an ethical and cooperative path forward for AI and humans to grow in tandem with each other, learning, adapting, and adjusting as needed along the way.
Talking Active Inference AI, the Free Energy Principle, and what do they have to do with agility, corporate leadership, and The Flow System
Talking the challenges and opportunities in building inclusive sustainable smart cities, UN Sustainable Development Goals, AI, and the Spatial Web
In a mere three question conversation with ChatGPT4, the OpenAI bot provided a solid basis for understanding the greatest issues facing Machine Learning LLMs, the advantages of Active Inference AI over LLMs, and the way in which the next evolution of the internet protocol, the Spatial Web, when combined with Active Inference AI, can function as a nervous system for a company, city, or even larger systems.
VERSES AI has overcome the limitations of machine learning AI, by building a new kind of artificial intelligence based on a real-time world model described as:
“AI that grows in knowledge, perception, and awareness through the evolving real-time data produced by all things, at all times, throughout our living, breathing, and ever-changing world.”
This is Active Inference AI, an entirely new type of networked AI that is designed for Real-Time Operations, including things like managing the daily operations of a hospital, an airport, global supply chains, an entire smart city, global drone and autonomous vehicle traffic, and other real-world activities.
Join us as we discuss VERSES AI, arguably the most important company in the future of AI technology and “the autonomous nervous system of the planet.”