Open models shift responsibility toward the operator
Running a model yourself gives you control and hands you everything the provider was doing.
Safety filtering, abuse monitoring, patching, evaluation and the decision about what the system will refuse all become yours. That is a legitimate and sometimes necessary trade, particularly where data cannot leave. It is only a good trade if somebody has actually accepted the work, rather than assuming that self-hosting is inherently the safer option.
More on AI supply chain
- A model file is executable trust in another formIt looks like data until you open it
- Dataset provenance matters for security and governanceWhere did this batch come from?
- Model version changes can be security changesOne plate swapped inside
- Third-party AI APIs extend the data boundaryThe fence moves with the call
- Evaluation data can leak into trainingIt has already seen the exam
- Fine-tuning credentials are production credentialsThe bench feeds the floor
