The text discusses using Gretel Synthetics and Google Colaboratory's free GPUs to train a machine learning model for generating fake, anonymized data with differential privacy guarantees. It mentions new features in Gretel's gretel_synthetics open-source synthetic data library version 0.6.0, such as Google SentencePiece support for unsupervised tokenization and smart_open support to load datasets from various cloud platforms. A walkthrough screencast is provided along with a link to get started creating synthetic datasets in Colaboratory. The text also refers to a previous deep dive on anonymizing precise location data, particularly in the context of scooter ride-share data and partnering with Uber to address privacy concerns in public ride-share feeds.