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The presence of one source can be easily dismissed, but if you have 500 independent sources that produce video of the same event from their own angles and times

The presence of one source can be easily dismissed, but if you have 500 independent sources that produce video of the same event from their own angles and timespans in an interconsistent way, it's far more likely that the recorded event happened as opposed to all of these different sources lying.

tboyd47 9y ago
Really? How much harder is it to run the OP's script with 500 input videos as opposed to only one? Especially if they're very similar? How many people have the expertise needed to identify a faked video, and how much training would they need?
- jakear 9y ago
  The great part is that using a GAN means we cannot automatically distinguish a fake from a real... because that's the whole point of the GAN.
- 794CD01 9y ago
  At that point there is no such thing as identifying faked videos. Instead you'd rely on the abundance of independent videos and see how consistent they are. Generating a lot of them doesn't do you any good unless you can insert them into the black boxes of the 3 planes and 40 cars in the area, the databases of all the drone operators, the internal storage of all the nearby smartphones, etc.
bognition 9y ago
Ahh you are undervaluing the power of automation. With a few sources you can build an accurate single model of an event. You then edit that event as you see fit and then generate as many "independent" sources from different viewing locations as you want. Then upload them to different social media sites at different times.
- 794CD01 9y ago
  I am sure you can do that. The hard part would be building consistent histories to back up those uploads. An upload from my facebook account, verified by other incidental data like GPS tracking on my personal phone, would more merit treatment as an independent corroboration, whereas a random reddit upload from a throwaway account would not. And the real verification would come from ultra-high-res captures from drone cams, self-driving car cams, traffic cams, etc that are constantly running and recording everything, so that you can't realistically fake soemthing without simultaneously compromising uber, amazon, walmart, etc.
pixl97 9y ago
> but if you have 500 independent sources that produce video of the same event This only works in large events. What if you film a politician lying at a small event, but his image team makes 20 fake videos showing the event in a different light? I guess you're the liar then.
- 794CD01 9y ago
  Firstly, people already know politicians lie. Nobody is going to care about your video in the first place. Secondly, your analogy is wrong. The new hypothetical you present is equivalent to the old model where you are all giving verbal accounts and his staffers lied. If you are going to compare to an old-tech scenario where you one-up them with a more detailed recording than they have, you need to do the same with new technology to keep the comparison accurate. Thirdly, why aren't you the liar? Fourthly, you can always go one level up. Show the footage of them constructing doctored footage.

tboyd47 9y ago

Really? How much harder is it to run the OP's script with 500 input videos as opposed to only one? Especially if they're very similar? How many people have the expertise needed to identify a faked video, and how much training would they need?

jakear 9y ago
The great part is that using a GAN means we cannot automatically distinguish a fake from a real... because that's the whole point of the GAN.
794CD01 9y ago
At that point there is no such thing as identifying faked videos. Instead you'd rely on the abundance of independent videos and see how consistent they are. Generating a lot of them doesn't do you any good unless you can insert them into the black boxes of the 3 planes and 40 cars in the area, the databases of all the drone operators, the internal storage of all the nearby smartphones, etc.

bognition 9y ago

Ahh you are undervaluing the power of automation. With a few sources you can build an accurate single model of an event. You then edit that event as you see fit and then generate as many "independent" sources from different viewing locations as you want. Then upload them to different social media sites at different times.

794CD01 9y ago
I am sure you can do that. The hard part would be building consistent histories to back up those uploads. An upload from my facebook account, verified by other incidental data like GPS tracking on my personal phone, would more merit treatment as an independent corroboration, whereas a random reddit upload from a throwaway account would not. And the real verification would come from ultra-high-res captures from drone cams, self-driving car cams, traffic cams, etc that are constantly running and recording everything, so that you can't realistically fake soemthing without simultaneously compromising uber, amazon, walmart, etc.

pixl97 9y ago

> but if you have 500 independent sources that produce video of the same event This only works in large events. What if you film a politician lying at a small event, but his image team makes 20 fake videos showing the event in a different light? I guess you're the liar then.

794CD01 9y ago
Firstly, people already know politicians lie. Nobody is going to care about your video in the first place. Secondly, your analogy is wrong. The new hypothetical you present is equivalent to the old model where you are all giving verbal accounts and his staffers lied. If you are going to compare to an old-tech scenario where you one-up them with a more detailed recording than they have, you need to do the same with new technology to keep the comparison accurate. Thirdly, why aren't you the liar? Fourthly, you can always go one level up. Show the footage of them constructing doctored footage.