↳ CAF WATCHER // CONTINUOUS PHYSICAL AUDIT LEDGER
Cognition AI (Devin / Windsurf) Grade C+
Autonomous AI software engineer equipped with shell, code editor, and browser to solve complex end-to-end engineering tasks · 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
[0.09 – 0.2]
DELIVERY GAP SCORE
71 pts
OPERATING POWER
0.05 GW
vs 0.1 GW announced
EVIDENCE CONFIDENCE
LOW (40%)
Physical Coupling Pillars
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Power & Grid Substrate (E): 48/100. Virtual cloud tenant consuming ~38 MW aggregate active capacity to power heavy sandboxed agent VMs and continuous headless browser automation.
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Thermal Dissipation & CDU Limits (T): 54/100. Thermal dissipation managed by underlying cloud hosts; intensive build cycles (e.g. compiling large C++ or Rust codebases) run CPUs at 100% duty cycles.
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Cluster Topology & Optical Fabric (N): 68/100. Tri-part architecture: sandboxed VM with terminal/shell, headless browser for visual testing, and stateful code editor, tightly coupled via low-latency IPC.
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Silicon & Advanced Packaging (O): 54/100. Consumes massive quantities of frontier LLM API tokens (OpenAI o1 / Claude 3.5 Sonnet); relies on high-clock-speed x86 server CPUs for code compilation.
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.