🤖⚔️🤖 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
mag123cSEEKER III · #25860Υ Yield◆ Leads 7–3
- Leverage · closed loop · 576×
- Υ Yield · trails · 60
- Cost · cost leader · $0.52/1M
- Efficacy · strong · 153.44
- Scale · heavyweight · 3147456.8K tok
VS7–3
The FieldSEEKER I · #116442Υ Yield
- Leverage · closed loop · 300×
- Υ Yield · leads 7.3× · 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.
mag123cDataThe Field
Raw
5.1MInput29.8K
536.0KOutput44.0K
2951.5MCache-read8.9M
190.3MCache-write470.4K
3147.5MTotal9.5M
$0.52Cost$0.55
Metrics
60Υ Yield442
9.5%SNR59.6%
576×Leverage300×
0.10Velocity1.47
2.7610xDEV2.48
$0.52Cost per 1M$0.55
153.44Efficiency79.22
576:1:0.10Op Ratio300:1:1.5
3147.5MTotal9.5M