Latent Space Loss Landscape Topography
Active Trajectories & Local Minima
3rd Pretraining Axis (Exploration): Rather than purely expanding parameters or data, scaling exploration loop depth enables vector particles to jump out of high-loss attractor basins (local minima) and explore unexplored latent space corridors.
Pretraining Loss & Trajectory Convergence Curve
D3.js Realtime Telemetry
Modality & Scaling Axes
Parameter Capacity
7 B
Dataset Volume
2.0 T
Exploration Loop Depth
50 Depth
Pretraining Telemetry Metrics
Latent Space Coverage
84.5%
Generative Fidelity
92.1
Minima Escapes
14
Compute Efficiency Ratio
1.42
Canonical Proof & Rehydration State
State: params: 7B | data: 2.0T | expl: 50 | modality: image | fidelity: 92.1