Crypto.news spoke with the general partner of Pantera Capital, Cosmo Jiang, about artificial intelligence, the rise of deepfakes and how AI can work next to blockchain.
Since the global AI market is expected to grow to around $ 3.6 trillion in 2034, Crypto.news sat down with Pantera Capital, a California-based crypto-company pioneer, to dive into the subject. In this interview we talk to Cosmo Jiang, the general partner of Pantera, who became a member of Nova River, a Web3 venture company, where he led a long-set digital activity fund.
CN: Do you think AI will lead to more advanced scams in Crypto? We are already seeing in -depth Felies of celebrities who promote fake tokens to lure investors. How can the industry stay for this?
CJ: It is clear that in the future AI agents and AI-generated content will always become ubiquitous, and there will be an acute need to distinguish betsWeen Hemans and Ai. This potential future state has increasingly come into the picture with the recent success and the fast-growing impact of large AI models.
This is a problem that will be true in many industries. Decentralized AI is perfectly suitable for tackling some of these problems, including in Deepfake detection and identity verification.
BitMind, for example, is dedicated to the detection and mitigation of deepfakes. BitMind is a subnet that works on the Bittensor network, a protocol that stimulates open-source, decentralized AI development. The Deepfe detection system from BitMind uses advanced AI models to make an accurate distinction between real and manipulated content and is one of the most accurate free tools in the world.
BitMind is equipped with advanced detection -algorithms that use both generative and discriminatory AI technologies to offer a robust mechanism for identifying deep fakes. Bitmind uses advanced techniques, including pixel relationships in the neighborhood, whereby competitive clarity in detection is guaranteed.
The operation of the subnet is decentralized, with miners in the network with binary classifications. This setup ensures that the detection processes are widespread and not limited to a centralized repository, which improves both the reliability and the integrity of the detection results.
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CN: Should we expect that new regulations are specifically aimed at the intersection of AI and Crypto?
CJ: I would expect and encourage that supervisors would work hand in hand, where both the AI and the crypto industry will make regulatory frameworks that promote innovation and at the same time protect consumers. I also think that it is mainly to emphasize the creation of the role of the White House AI and Crypto Tsar.
This agreement rises crypto in its place next to AI, which makes sense for those who follow their development. I believe that Crypto and AI will be the two fastest and most exciting growthest in the world in the coming years. The establishment of that role is an explicit recognition by the leaders of our government.
In many ways, supervisors must be particularly open to decentralized alternatives to AI development. Decentralization, or the coordination of several independent actors, helps protect against censorship and improves resilience and reliability.
CN: What is AI projects the most enthusiastic about in the crypto space?
CJ: There are so many fascinating reasons why Blockchain AI makes a unique way possible and why AI will speed up the adoption of blockchain, which is why we bring a lot of time and capital to this space.
One of Crypto’s super powers is the use of tokens to stimulate coordination. An area where this can be particularly useful is when making and using open-source AI models. We have made a few investments in this space, including in Bittensor (Tao) and Sentient.
Open-source development and adoption have won a grip for both cultural reasons, as well as the practical reason that open-source has the potential over time to produce better AI models than in walled gardens such as OpenAi. Bittensor promotes that open-source community in a unique way by offering sustainable monetary stimuli for open-source contributions that are not historically compensated. The Grassroots worldwide community that has formed around the Bittensor protocol continues to surprise me with his passion and in many ways remind me of the early days of the Bitcoin community.
Another area is the concept of decentralized identity. We have made a few investments in this space, including in World (Wld) and Humanity Protocol.
In a future world where AI agents and ai-generated content are constantly becoming everywhere, there will be an acute need to distinguish between people and bots. This potential future state has increasingly come into the picture with the recent success and the fast -growing impact of generative AI.
Sam Altman, CEO of OpenAi and chairman of World, believes that within a few years there will be a breakthrough for artificial general intelligence. Altman founded World, a protocol to identify unique people, in response to the future state where his company OpenAi is building. If it is successful, the world could scale a reliable solution for the online distinguishing of people from AI, while retaining privacy, which makes global democratic processes possible, the economic opportunities increase and show a potentially path to UBI financed by AI.
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