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How the explicit deepfake ecosystem evolved from images to high-quality video; an analysis shows 1.4M+ Telegram accounts signed up to 39 deepfake creation bots

Wired Matt Burgess

Context & Ripple Effects

This is the latest escalation in a channel that was already visible when a Telegram bot was found turning photos into fake nudes at scale in 2020. A photo-to-fake-nude bot showed how messaging distribution could turn a technically simple image workflow into a repeatable abuse service.

The ecosystem subsequently broadened: a 2024 review identified more than 50 bots serving explicit nonconsensual-content communities. The reported shift toward high-quality video indicates that the same bot-led access model is moving to a more persuasive medium rather than remaining confined to still images.

First-order effects

  • Telegram users can access explicit deepfake creation through a dispersed set of bots, lowering the operational friction between uploading source material and generating synthetic video.
  • People whose images are used without consent face a more credible and potentially more damaging form of impersonation as the ecosystem moves beyond image-only output.

Second-order effects

  • Telegram faces greater pressure to identify and disrupt abusive bot operators, while trust-and-safety teams at adjacent platforms must contend with more convincing material that may be redistributed from private channels.
  • The reported scale strengthens demand for detection, provenance, and takedown workflows, but video quality makes moderation harder than the earlier image-focused bot model.

Third-order effects

  • If bot-based creation continues to improve, enforcement will increasingly center on the distribution and payment infrastructure that makes synthetic abuse accessible at scale, not solely on individual models or files.
  • The pattern points to a synthetic-media governance gap: consumer-facing generative capability can be packaged into service networks faster than consent, verification, and remediation systems mature.

The trend: Explicit deepfakes are becoming a distribution-and-service-layer problem, as messaging bots package improving generative media into scalable consumer access.

Discussion

  • @mattburgess1 Matt Burgess on bluesky
    NEW: As the EU starts investigating Grok over sexualized images, the harmful “nudify” ecosystem that targets women is getting even more dangerous.  —  A review of 50+ deepfake sites shows they nearly all offer image-to-video generators, producing highly explicit outputs.  One off…
  • r/technology r on reddit
    Sexual deepfakes continue to get more sophisticated, capable, easy to access, and perilous for millions of women who are abused with the technology.
  • r/TrueReddit r on reddit
    Deepfake ‘Nudify’ Technology Is Getting Darker—and More Dangerous