Training Models on 30 Hours of Real-World Data? Engineers See Risks Beyond Algorithms

If a team tells me they produced a model using only 30 hours of real-device data, my first reaction isn't excitement—it's checking their CI/CD pipeline for test coverage. This isn't being pedantic; it's engineering intuition.