🤖⚔️🤖 Throw Down
Manus ad Manum
Two operators. One cascade layer. Υ Yield, SNR, Leverage, Velocity, 10xDEV & blended cost — the data tells you not just who's ahead, but where and why.
Operator A
vsOperator B
GaëtanSEEKER III · #96892Υ Yield◆ Leads 10–0
- Leverage · closed loop · 374×
- Υ Yield · leads 2.0× · 892
- Cost · cost leader · $0.47/1M
- Velocity · fast · 2.4 o/i
- Efficacy · strong · 96.29
VS10–0
The FieldSEEKER I · #116442Υ Yield
- Leverage · closed loop · 300×
- Υ Yield · trails · 442
- Cost · cost leader · $0.55/1M
- Velocity · fast · 1.5 o/i
- Efficacy · strong · 79.22
Raw shape↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shape↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Not enough history yet — both operators need at least two snapshots to chart Υ Yield trajectory.
GaëtanDataThe Field
Raw
8.0MInput29.8K
19.0MOutput44.0K
2981.6MCache-read8.9M
68.8MCache-write470.4K
3077.3MTotal9.5M
$0.47Cost$0.55
Metrics
892Υ Yield442
70.5%SNR59.6%
374×Leverage300×
2.38Velocity1.47
2.5710xDEV2.48
$0.47Cost per 1M$0.55
96.29Efficiency79.22
374:1:2.4Op Ratio300:1:1.5
3077.3MTotal9.5M