Vijay Balasubramaniyan, CEO of AI security firm Pindrop, compares the computational model size and financial cost of deepfake detection against generative AI models.
“It's way cheaper to detect deepfix, right? Because if you think about it, the closest example is Apple released its model, you know, that could run on device. And even that model, which is a small model in order to do lots of things like voice to text and things like that, our model is about a hundred times smaller than that. So it's so much faster in detecting deepfix. So The ratio is about 100th right now, and we're constantly figuring out ways to make it even cheaper, but it's 100th that of generation.”
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More from Vijay Balasubramaniyan
Insight
Balasubramaniyan: LLM hallucinations make models ideal tools for fraudsters
“Like in LLMs, hallucination is a problem. So the fact that you're making shit up is a bad idea. But if you have to make shit up to convince someone, LLM is great and perfect.”
Balasubramaniyan: Audio watermarks get stripped away by telecom transmission
“When you take that audio, play it across air, play it across telephony channels, the bits and bytes, they get stripped away. And so once they get stripped away, an audio is a very sparse channel. So even if you add it over and over again, it's not possible to …”
Balasubramaniyan: High-quality voice deepfakes require only 15 seconds of audio
“All it requires for me to clone your voice, Martine now, requires about Three to five seconds of your audio, and if I want a really high quality deep fake, it requires about 15 seconds of audio.”
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