Digital twin
A digital twin links a digital representation to a physical system and its data. NIST’s manufacturing work emphasizes reference architectures, verification, validation, and quantified uncertainty.
Why it matters
A useful twin requires traceable data and validated models. A visually convincing scene or a synthetic teaching record does not establish an operational twin.
Relationships
feeds back toPhysical AI → Digital twinfeeds back toDigital twin → World model
WFM within aserdargun.com
WFM is a research atlas in the physical AI layer of the AI Learning System. Read the sources here, explore prediction and action in WML, then follow asset records, evidence, and human oversight in ITL.
These links describe a learning path. The applications run independently; they do not imply shared telemetry or automatic control. ITL examples are synthetic teaching records.