My model recognizes actions well in static camera videos.When the camera pans or shakes, predictions become unstable.The action is the same.Only the camera motion changes.
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Access control seems correct, but error responses reveal stack traces or internal IDs.This doesn’t break functionality, but it feels risky from a security standpoint.I’m not sure how much information is safe to expose in errors.
Some Flows simply stop working without displaying any error message. Records aren’t updated, but users see no failure notifications. This makes troubleshooting difficult. I want to understand why Flows fail silently.
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The batch prediction job used to run in minutes.As data volume increased, runtime started doubling unexpectedly.Nothing changed in the model code itself.Now it’s becoming a bottleneck in the pipeline.
