Are DataChips physical chips?
No. They are digital software capabilities with defined behaviour, interfaces, versions, technical evidence and rights. They may ultimately run on physical processors or devices, but the economic unit is the qualified capability rather than a piece of silicon.
The unit of commerce is a governed function.
A DataChip can be a deterministic fault calculation, a scientific transformation, a risk-scoring function or an authorized data operation. It has defined inputs, outputs, version, dependencies, runtime limits, tests and permitted uses. An AI Chip additionally identifies its model, inference constraints, uncertainty and relevant training or data rights. The customer may obtain permission to run the function or obtain a result without receiving confidential implementation details.
Qualification before reuse
An imported software module is only a candidate DataChip until its behavior, source dependencies, compatibility and legal permissions have been checked. A DataChip identifier cannot certify reliability, create intellectual-property title or justify a trading price. Existing developer code is supported alongside visual composition; the design does not require every programmer to abandon conventional coding.
The answer above preserves the original whitepaper text; this additional explanation is interpretive guidance, not a new claim of certification, legal authority or commercial launch.