🤖⚔️🤖 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
Andrew SongBEARER I · #871.5KΥ Yield◆ Leads 10–0
- Leverage · closed loop · 574×
- Υ Yield · leads 3.3× · 1.5K
- Cost · cost leader · $0.47/1M
- Velocity · fast · 2.6 o/i
- Efficacy · strong · 148.58
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.
Andrew SongDataThe Field
Raw
1.9MInput29.8K
5.0MOutput44.0K
1117.7MCache-read8.9M
34.6MCache-write470.4K
1159.3MTotal9.5M
$0.47Cost$0.55
Metrics
1.5KΥ Yield442
71.9%SNR59.6%
574×Leverage300×
2.56Velocity1.47
2.7610xDEV2.48
$0.47Cost per 1M$0.55
148.58Efficiency79.22
574:1:2.6Op Ratio300:1:1.5
1159.3MTotal9.5M