Today's AI models are powerful but lack a true sense of causality, leading to illogical errors. Unconventional AI's Naveen Rao hypothesizes that building AI on substrates with inherent time and dynamics—mimicking the physical world—is the key to developing this missing causal understanding.

Assembly theory bypasses ambiguous definitions of life by providing a quantifiable metric: the "assembly index." This measures an object's complex construction history. A high index, even in a molecule on Mars, would be strong evidence of life without directly seeing an organism.

Dismissing concepts like time travel is foolish because our understanding of physics is incomplete. Even the speed of light isn't absolute; the Casimir effect demonstrates that altering the quantum vacuum can theoretically allow light to travel faster. This implies all physical laws have loopholes, demanding extreme intellectual humility.

The fundamental dynamics of consciousness may be timeless, without increasing entropy. Our linear experience of time is an emergent property created by the loss of information when that timeless reality is projected into our limited human interface.

Reductionism—understanding things by breaking them into smaller parts—has been successful because we were only studying our "headset." However, this approach hits a hard limit. Physics shows that at the smallest scales (Planck length), the concept of "smaller" ceases to make sense. Spacetime dissolves, meaning the foundation of reductionism is an illusion.

The paper posits that Bitcoin blocks represent discrete, indivisible units of time. This provides a real-world, observable model that challenges the long-held assumption in physics that time is a continuous, infinitely divisible parameter, thus solving the double-spend problem logically.

We are inherently part of the physical universe, making it impossible to step outside of time to measure it. Bitcoin, as a human-made system that produces its own discrete time via blocks, offers a novel external perspective, allowing us to observe the mechanics of time from the outside in.

Lee Cronin argues that both Newtonian and quantum physics are incomplete because they lack a fundamental concept of causation. This omission is why physics struggles to explain the emergence of complex systems like biology and intelligence, which are inherently causal.

Instead of viewing time as a fourth dimension appended to space (spacetime), the authors propose "time-space." Here, time, as an ordered sequence of thermodynamic commitments (blocks), is the foundational constraint from which spatial and causal order emerge as derivative properties.