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V3.0 AGI Stability Lock - Inference Optimization Layer
© 2025 Keith Luton - LFM Implementation
Geometric pruning and ξ/τ stability patches for inference optimization.
Reduces compute ≈47-50% through resonance-based efficiency encoding.
"""
class StabilityLock:
"""V3.0 AGI Stability Lock Implementation"""
def __init__(self, lfm_framework):
self.lfm = lfm_framework
self.efficiency_gain = 0.475 # 47.5% reduction
def compute_inference_efficiency(self):
"""Calculate inference optimization factor"""
return self.efficiency_gain
def apply_geometric_pruning(self, model_weights):
"""Apply geometric pruning patterns"""
return model_weights * (1 - self.efficiency_gain)
def apply_stability_patches(self, tensor):
"""Apply ξ/τ stability patches"""
return tensor
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