↳ CAF WATCHER // CONTINUOUS PHYSICAL AUDIT LEDGER

Scale AI (Data Substrate & Synthetic Compute) Grade A

The foundational data infrastructure, RLHF evaluation factory, and synthetic data compute substrate powering frontier AI laboratories · Category: Autonomous Agents & Applied AI

Executive Physical Feasibility & Delivery Audit

Institutional Baseline: CAF Watcher evaluates stated accelerator capabilities against empirical physical reality (interconnection queues, electrical substations, liquid cooling heat transfer, and optical network fabrics). Missing public evidence is classified as unknown—it is never treated as zero capacity. Operator telemetry strengthens assessments, but participation is never mandatory.

CAF INTERVAL
[0.36 – 0.63]
DELIVERY GAP SCORE
32 pts
OPERATING POWER
0.09 GW
vs 0.1 GW announced
EVIDENCE CONFIDENCE
LOW (40%)

Physical Coupling Pillars

Power & Grid Substrate (E): 82/100. Consumes ~160 MW aggregate compute capacity across cloud providers and dedicated high-security defense data centers.
Thermal Dissipation & CDU Limits (T): 80/100. Workload consists of steady-state batch data pipelines and inference reward scoring with predictable thermal dissipation envelopes.
Cluster Topology & Optical Fabric (N): 84/100. High data ingress/egress bandwidth: moves petabytes of raw video, text, and multimodal embeddings daily between frontier labs and annotation pipelines.
Silicon & Advanced Packaging (O): 80/100. Hardware-agnostic software and compute layer: runs inference, embedding, and synthetic generation across Nvidia, AMD, and hyperscaler custom silicon.

Attributable Public Evidence Ledger

Every claim evaluated by CAF Watcher is grounded in public regulatory filings, utility interconnection disclosures, environmental permitting reports, or peer-reviewed engineering papers.