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A joint investigation reveals Canadian pharmacist David Do as a key figure behind MrDeepFakes.com, one of the world's largest platforms for non-consensual AI-generated pornography.
A joint international investigation by CBC News, Bellingcat, and Danish outlets Politiken and Tjekdet has uncovered the identity of a key figure behind one of the world's most notorious websites for non-consensual, AI-generated pornography: MrDeepFakes.com. The individual in question is David Do, a Canadian pharmacist who, until recently, worked at Oak Valley Health just outside Toronto.
MrDeepFakes was the leading platform globally for deepfake porn, hosting tens of thousands of non-consensual and sometimes violent videos and images. These included depictions of celebrities, politicians, social media influencers, and private citizens. The site's activities have raised significant concerns about privacy, consent, and the ethical implications of AI misuse.
The exposure of MrDeepFakes highlights several critical risks:
The investigation, led by CBC News's visual investigations unit in collaboration with Bellingcat, Politiken, and Tjekdet, meticulously traced the activities of MrDeepFakes back to David Do. Key findings include:

The exposure of David Do and the subsequent shutdown of MrDeepFakes present several opportunities:
Support is available for anyone who has experienced sexual violence. You can access crisis lines and local support services through the Government of Canada website or the Ending Violence Association of Canada database. If you are in immediate danger, please call 911.
UPDATE: Following an investigation by Oak Valley Health in response to CBC's reporting, David Do is no longer an employee of the health network as of May 15, 2025.
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Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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