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00:00Deepfakes are fooling everyone, what you need to know now.
00:04Over the course of 2025, deepfakes improved dramatically.
00:08In practical terms, synthetic media have become indistinguishable from authentic recordings for ordinary people,
00:14and in some cases, even for institutions.
00:17Cybersecurity firm DeepStrike estimates an increase from roughly 500,000 online deepfakes in 2023
00:23to about 8 million in 2025, with annual growth nearing 900%.
00:28From my vantage point, I see that the situation is likely to get worse in 2026,
00:33as deepfakes become synthetic performers capable of reacting to people in real time.
00:39First, video realism made a significant leap thanks to video generation models
00:43designed specifically to maintain temporal consistency.
00:47Second, voice cloning has crossed what I would call the indistinguishable threshold.
00:52This combination of surging quantity and personas that are nearly indistinguishable from real humans
00:57creates serious challenges for detecting deepfakes,
01:01especially in a media environment where people's attention is fragmented
01:04and content moves faster than it can be verified.
01:07There has already been real-world harm, from misinformation to targeted harassment,
01:12and financial scams enabled by deepfakes that spread before people have a chance to realize what's happening.
01:18The frontier is shifting from static visual realism to temporal and behavioral coherence models
01:23that generate live or near-live content rather than pre-rendered clips.
01:27I expect entire video call participants to be synthesized in real time,
01:32interactive AI-driven actors whose faces, voices, and mannerisms adapt instantly to a prompt,
01:38and scammers deploying responsive avatars rather than fixed videos.
01:42These include secure provenance, such as media-signed cryptographically,
01:46and AI content tools that use the Coalition for Content Provenance and Authenticity specifications.
01:53Simply looking harder at pixels will no longer be adequate.
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