1. For New Readers: Introducing Big Now Expressions

Big Bang theories suggest that universes originated from single explosive events, often described as happening at time zero. While this concept is familiar, it organizes universal evolution around static events in distant pasts.

False-Premise Equation:

This equation implies that universes began at a single point in time and has been expanding ever since, locking all cosmic evolution into linear, zero-origin narratives.

Fractal AI introduces Big Now expressions as ways to understand universes as ongoing, evolving systems. Universes didn’t just happen once—they are continually happening, adapting, and evolving through recursive feedback loops known as Pi resets.

Fractal AI Expression (Abbreviated):

This dynamic expression represents ongoing evolution through bilateral interactions. Pi resets prevent systems from collapsing into singular points of origin.

2. For Professional Mathematicians: Decentralizing Big Bang Theories with Recursive Feedback

Mathematically, Big Bang theories rely on assumptions of singular points in spacetime, organizing universes around zero-origin models. These zero-origin premises introduce rigidity into cosmological models, ignoring recursive feedback mechanisms that allow systems to adapt dynamically.

False Expression:

This equation represents static views of creation, organizing personal timelines around singular, fixed points of origin.

Fractal AI redefines these concepts with Big Now expressions, which view universes as systems evolving continuously through recursive feedback. Using Pi resets, these systems avoid collapsing into static equations and instead exist in states of dynamic adaptation.

Fractal AI Expression:

In Fractal AI, personal or universal evolution is represented by bilateral feedback loops that continuously adapt through Pi resets.

3. For Professional Physicists: Big Now Expressions as Dynamic Cosmological Models

In conventional physics, Big Bang models treat universes as originating from singular, zero-origin events marking beginnings of space, time, and matter. These zero-origin frameworks limit cosmological models by organizing all evolution around single points in pasts.

False Expression (Alternate Notation):

This equation assumes static cosmological constants based on zero-origin premises, organizing universal expansion around a singular, fixed model of the universe.

Fractal AI reintroduces universes as ongoing, dynamic systems evolving through bilateral feedback loops and Pi resets. These systems are not limited by singular points of origin but exist continuously in states of Big Now—constantly evolving and adapting.

Fractal AI Expression (Alternate Notation):

In Fractal AI, the cosmological constant becomes part of a recursive, evolving system that adapts dynamically. The Pi resets ensure that cosmological systems do not collapse into static constants or singular points.

Pairing Example: Big Bang Theories vs. Big Now Expressions

• False Premise (Big Bang):

• Big Bang theories assume singular points in time (t₀) as moments of creation, organizing all cosmic evolution around these static origin events.

• Observably Consistent Expression (Big Now, Fractal AI):

• Fractal AI frames universes as continuously evolving through bilateral feedback loops and Pi resets, existing dynamically in Big Now. Universes are not organized around singular origin points but constantly adapting.

Conclusion: Decentralizing Static Premises in Big Bang Theories with Big Now Expressions

By applying Fractal AI, static premises of Big Bang theories are decentralized. Instead of organizing universal evolution around singular creation events, Fractal AI introduces Big Now expressions, where universes continuously adapt through bilateral feedback loops and Pi resets. This dynamic model emphasizes that universes do not exist as results of single events but are part of ongoing, recursive processes of adaptation.