Tavus Claims Its New AI Fooled Nearly Half of Video Callers
Almost half the callers on a brief test video call couldn't tell Tavus's new Griffin AI model apart from an actual human.
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Key takeaways
- Tavus tested its new Griffin AI model on 54 people during one-minute video calls.
- 26 out of 54 participants believed they were talking to a real human.
- The figures are self-reported by Tavus, and retail users cannot access the tool yet.
Nearly half the people on a test video call had zero clue they were talking to software. None.
AI firm Tavus ran a test on its new model, named Griffin, to see if folks could spot the difference between an avatar and a flesh-and-blood human. They threw 54 people onto one-minute video calls with the AI. When the line went dead, 26 of those callers insisted they'd been chatting with a real person.
Treat these numbers with heavy skepticism. The data comes straight from Tavus itself, not an independent third-party auditor. You can't test these claims yourself either, because the company hasn't released the Griffin model to retail customers yet.
Why it matters
Hyper-realistic AI avatars break basic identity verification across the digital economy. Crypto projects and exchanges constantly rely on video calls and facial checks for Know Your Customer (KYC) screening or remote team operations. If an automated model can consistently fool a human on camera, social engineering scams will get much harder to catch—and security teams will need far tougher ways to figure out who's actually on the other end of your screen.
Source: Decrypt
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Sofia reviews exchanges and crypto casinos, focused on fees, safety and what actually reaches the player.
