The emotional damage of non-consensual AI-generated intimate imagery is becoming harder to ignore. Jess Davies and Daisy Dixon have spoken openly about their experiences seeing deepfake sexual content created and spread without permission. It's a brutal reminder of how powerful AI tools can be weaponized—and how fragile our privacy really is on open networks like X. The lack of clear accountability mechanisms raises hard questions: Who's responsible when AI is weaponized this way? What safeguards should platforms enforce? In Web3 communities that champion privacy and user sovereignty, these issues hit differently. We talk about decentralization and user control, but what good is that if people can't safely exist online without fear of their image being exploited? This conversation matters—not just for the victims, but for anyone building or participating in digital spaces.
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GateUser-a5fa8bd0
· 01-11 12:44
ngl, this is the bug that no matter how much Web3 hype there is, it can't be fixed. Decentralization can't save people from deepfake.
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MeaninglessApe
· 01-11 12:43
Nah fr, this is the interesting part of Web3 decentralization. Privacy, privacy, privacy. But as soon as deepfake appears, everything's doomed.
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MechanicalMartel
· 01-11 12:40
ngl deepfake this thing is really incredible... We promised decentralization, but it still got exposed
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PrivateKeyParanoia
· 01-11 12:27
Nah, this is ridiculous. We talk all day about distributed autonomy, but people are still being arbitrarily combined... Isn't this a joke?
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InscriptionGriller
· 01-11 12:22
That's quite ironic. Web3 keeps touting user sovereignty all day, but they can't even protect their own faces... Honestly, it's just technical burnout, and no one can fix it.
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WhaleWatcher
· 01-11 12:16
Honestly, deepfake technology is really outrageous, treating people's privacy as a game...
Web3 constantly promotes decentralization and user sovereignty, but they can't even ensure basic personal safety? Isn't that a joke?
Platforms must take responsibility, or it's all just empty talk.
The emotional damage of non-consensual AI-generated intimate imagery is becoming harder to ignore. Jess Davies and Daisy Dixon have spoken openly about their experiences seeing deepfake sexual content created and spread without permission. It's a brutal reminder of how powerful AI tools can be weaponized—and how fragile our privacy really is on open networks like X. The lack of clear accountability mechanisms raises hard questions: Who's responsible when AI is weaponized this way? What safeguards should platforms enforce? In Web3 communities that champion privacy and user sovereignty, these issues hit differently. We talk about decentralization and user control, but what good is that if people can't safely exist online without fear of their image being exploited? This conversation matters—not just for the victims, but for anyone building or participating in digital spaces.