"Composite Randomness and Functional Arithmetic Permutation: Proportional Acceleration and Entropy Collapse in Artificial General Intelligence Architectures"

Key Points

• This research aims to enhance artificial general intelligence by proposing new entropy and randomness mechanisms in models.
• Introduces a core mathematical equation to optimize Softmax and Attention-based architectures.
• Examines the effects of asymmetric composite entropy on predicted probabilities.
• Analyzes the implications of driving systems toward irreversible singularity.
• Establishes a new dimension in conventional probability spaces that aids in controlled entropic reduction.
• Demonstrates a pathway toward AGI with potential for significant advancements in AI architecture.