no they don't. deepfakes still look fake, until that changes deekfakes are a tempest teapot.
Even if it's a tempest in a teapot right now (I think this is a questionable assertion in 2019) it seems pretty safe to bet that it will be a big problem within 5 years. Maybe less.
Just planting the seed is enough.
An episode of The Secret History of the Future, From Zero to Selfie has a snippet interview with Hany Farid of Dartmouth, talking about the fake photo of John Kerry and Jane Fonda, in context of the 2004 US Presidential election.
"After the election, after Kerry lost, I remember listening to a radio station news story, and they were interviewing somebody who voted for Kerry's opponent, and he said 'Why didn't you vote for Kerry?' and he said 'I couldn't get that image of Kerry and Fonda out of my head. And the reporter said, 'Well, you know that was a fake image,' and this is true. The guy said, 'I know, but I couldn't get the image out of my head.'"
https://podcasts.google.com/?feed=aHR0cHM6Ly9mZWVkcy5tZWdhcG... near the 22:40 mark.
It should be obvious that the deep fakes that don't look wrong will be (wrongly) classified as "not deep fakes", so the premise of "deepfakes still look fake" is completely flawed. "deepfakes that look fake still look fake" isn't very useful.
So you agree that there are deep fakes people can't tell are deep fakes, but now you're saying that's OK because no one has used them in an impactful way yet?
The deepfakes that don't look fake are "real". And they already pass as such. And unless you have the original source material, you cannot tell.
I remember seeing examples from conflicts where video from another event was passed off by the mainstream media to spin the story. It was not until it was called out because people found the real source and posted it debunking what was shown.
I expect more or less the same process with deep fakes. Find the source material and then show how it was adulterated to produce the fake.
I'd be far more terrified if there were an AI capable of generating genuinely catchy/hilarious/original meme images. The "original" part is the hardest part of the equation, because even if you managed the "catchy/hilarious" part (which is already almost impossible), the novelty of the results would wear off quickly if the machine isn't capable of true originality.
To me the odd part is that these are just generally individuals tinkering with the technology using source material that wasn't intended to support a fake.