this seems very interesting: they got a big sensor dataset and generated some text from that. I guess this involves things like maximum values, mean values, maybe simple trends and things like was the person walking or biking etc. It would be interesting to see if the model identifies things that were not so easily provided in the training data. Otherwise this is just teaching the model to sort of calculate the mean from sensor data instead of using tools to do this
Goal for them to not watch too much content. I changed my YouTube account and increased from 3 width to 4. So probably if you are watching too much to discourage they are doing this.