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AI Architecture › L2 · Data Fabric
L2 · Data Fabric

Calibration & Drift Tracking

Every channel carries a live calibration; the fabric watches for slow drift and corrects or flags it before it biases a feature.

THE STACK · click to jumpL7Ecosystem & StrategyL6Experience & VisualizationL5Applications & CopilotsL4OrchestrationL3Twin Modeling & AIL2Data FabricL1Control PlaneL0Foundation▲tlmctl▼L2 · DATA FABRICTelemetry, validation, and the machine's memory.160+ Port Telemetrysensor bus2Signal Validationrange & sanity3Feature Engineeringderived signals4Time-Series Archivefull history5Feature Storetraining-ready6Vector DBembeddings for RAGMACHINE TIEIngests from diagnostics; serves the twin (L3) and copilots (L5).KRONOS FUSION ENERGYAI-NATIVE S.M.A.R.T. GENERATORDATA FABRICSHEET 04REV. 2026-08L2 · AI-NATIVE STACK
L2 · Data Fabric — its place in the stack (left, click any layer) and its internal components (right). Telemetry rises; control descends.

Calibration is data

A raw ADC count means nothing without the calibration that maps it to physical units: gain, offset, feedthrough parasitics, filter delay, and sensor sensitivity. The fabric stores this per channel and applies it as the first step of normalization. Because the calibration is versioned, any archived shot can be re-reduced with the exact calibration in force when it was taken.

Sources of drift

Detecting drift

Drift is detected against references and against redundancy: a channel that steadily disagrees more with its neighbors, or whose baseline walks between shots, is flagged. Where an in-situ reference exists, the fabric corrects continuously; where it does not, it flags the channel for the next calibration and lowers its quality score in the meantime.

Correcting without erasing history

A correction never overwrites raw data. The archive keeps raw counts; corrections live as calibration versions applied at read time. This preserves forensic value — a disruption in the breeder or a plug collapse in the burner can be re-examined with either the original or a later, better calibration — and keeps lineage exact.

Calibration and drift models are design specifications for machines under construction from Q2 2027; the drift sources listed are the physically expected ones for the FOAK devices.

Content reviewed August 2026 · design-and-simulation stage