Crypto.news had an insightful conversation with Cosmo Jiang, the general partner at Pantera Capital, discussing the intersection of artificial intelligence, deepfakes, and blockchain technology.
With the global AI market projected to reach $3.6 trillion by 2034, Pantera Capital, a leading California-based crypto venture firm, shared their insights with crypto.news. In this exclusive interview, Cosmo Jiang, the general partner at Pantera Capital, shared his expertise, having previously managed a digital asset fund at Nova River, a web3 venture firm.
CN: Can AI lead to more sophisticated scams in the crypto space, especially with the rise of deepfakes? How can the industry combat this?
CJ: The increasing prevalence of AI agents and AI-generated content indicates the urgent need to differentiate between human and artificial intelligence. This challenge has become more prominent with the emergence of large-language AI models.
Decentralized AI solutions are well-positioned to tackle these issues, including the detection of deepfakes and identity verification.
For instance, BitMind specializes in detecting and mitigating deepfakes. Operating on the Bittensor network, BitMind leverages advanced AI models to accurately discern authentic content from manipulated ones, offering one of the most precise free detection tools globally.
With sophisticated detection algorithms and cutting-edge techniques like Neighborhood Pixel Relationships, BitMind ensures high accuracy in identifying deepfakes. The decentralized nature of the subnet, with miners running binary classifiers, enhances the reliability and integrity of the detection process.
Explore more: Analysts warn of Google’s negligence in crypto deepfake scams
CN: Are there anticipated regulations targeting the convergence of AI and crypto?
CJ: It is crucial for regulators to collaborate with both the AI and crypto industries to develop regulatory frameworks that promote innovation while safeguarding consumers. The establishment of the White House AI and Crypto Czar signifies the recognition of the importance of both sectors by the government.
Regulators should consider embracing decentralized approaches to AI development to enhance censorship resistance and overall reliability.
CN: Which AI projects in the crypto space excite Pantera Capital the most?
CJ: Blockchain’s ability to incentivize coordination through tokens presents unique opportunities for open-source AI model creation and utilization. Pantera Capital has invested in projects like Bittensor (TAO) and Sentient to support this initiative.
The focus on open-source development, exemplified by Bittensor, fosters a global community with sustainable incentives for open-source contributions. Additionally, investments in decentralized identity projects like World (WLD) and Humanity Protocol aim to address the challenge of distinguishing between humans and AI in the digital realm.
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