Jeff Schulman recently led an enlightening session in the Sequential Domain subgroup at PLAINTEXT, focusing on the paper “Designing Ecosystems of Intelligence from First Principles” by Karl J. Friston and colleagues. This paper delves into foundational principles for AI and active inference, offering a transformative perspective on artificial intelligence design and application.
This paper, co-authored by a team including Maxwell J.D. Ramstead, Alex B. Kiefer, Christopher L. Buckley, and others, moves beyond the conventional boundaries of AI, providing innovative insights into creating intelligent ecosystems grounded in first principles. The work is a leap towards understanding and implementing AI in a way that mimics natural, multi-scale intelligence systems.
For those interested in exploring the full depth of this paper, it can be accessed here. Schulman’s presentation, a deep dive into the intricate concepts and futuristic visions proposed in the paper, can be viewed here. It’s an essential resource for anyone keen on understanding the evolving landscape of AI and its intersection with principles of active inference.
We invite the broader community to engage with Schulman’s presentation to enrich our collective understanding and stimulate further discussions in the field of AI.