By KIM BELLARD

The Tom Cruise TikTok deepfakes last spring didn’t spur me into writing about deepfakes, not even when Justin Bieber fell so hard for them that he challenged the deepfake to a fight.  When 60 Minutes covered the topic last night though, I figured I’d best get to it before I missed this particular wave.

We’re already living in an era of unprecedented misinformation/disinformation, as we’ve seen repeatedly with COVID-19 (e.g., hydroxychloroquine, ivermectin, anti-vaxxers), but deepfakes should alert us that we haven’t seen anything yet.  

ICYMI, here’s the 60 Minutes story:

The trick behind deepfakes is a type of deep learning called “generative adversarial network” (GAN), which basically means neural networks compete on which can generate the most realistic media (e.g., audio or video).  They can be trying to replicate a real person, or creating entirely fictitious people.  The more they iterate, the most realistic the output gets.