Saved in:
| Main Author: | |
|---|---|
| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2025
|
| Online Access: | https://doi.org/10.5281/zenodo.19139617 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- <p><span>This paper bridges developments in artificial intelligence and the philosophy of physics by comparing MIT’s Self-Adapting Language Model (SEAL) with Augusto Bartolomeu’s Multi-Simulation Thesis (v3). It argues that SEAL’s self-correcting loop, detecting drift, collapsing error, and re-stabilizing coherence, performs the same meta-law that MST attributes to quantum and cosmological systems. The result is an interdisciplinary inquiry into how both neural networks and physical reality may preserve structure through recursive adaptation and coherence restoration. © 2025 Augusto Bartolomeu. All rights reserved.</span></p>