
We are proponents of traiing data distillation ie. providing less but more accurate, condensed knowledge
Derivative Intelligence occurs when there is no more valid data to train or check model correctness other than the results of the model itself
Escape the trap of derivative intelligence with distilled data processes in domain of equity compensation. Turn ai probabilistic nature into deterministic intelligence

Hegelian dialectic approach:
+ Distillation (thesis)
- Derivative (anti-thesis)
=> Deterministic Intelligence