Phase Transitions in Artificial General Intelligence: Scaling Laws, Predictability Limits, and Singularity

Abstract excerpt

<title>Abstract</title> <p>We model AGI emergence as a critical transition in large-scale learning systems and propose a quantitative framework connecting scaling laws, dynamical stability, and safety-relevant control. Instead of treating the singularity as a date forecast, we define a measurable transition regime in terms of scaling efficiency, transfer generalization, recursive self-improvement depth, and gover...

Topics

Open a Topic to create a Post that cites this publication.

• Algorithms
• Biological Evolution
• Cooperative Behavior
• Ecosystem
• Genetic Variation
• Models, Biological
• Phenotype
• Selection, Genetic

Identifiers and source

Literature Corpus work

114bdf8f-b1ab-567d-9f14-7da30d034e4f

DOI

10.21203/rs.3.rs-9055490/v1