Decentralizing AI: A Conversation with Xtao’s Founder and CEO, Karia Samaroo
Karia Samaroo, founder and CEO of Xtao, the only public company working on the Bittensor ecosystem, explains why AI needs to be decentralized. As the world becomes increasingly reliant on artificial intelligence, concerns about the concentration of power and control have grown. Currently, the most popular AI models are owned by a few large tech companies, which have full control over their design and use.
According to Samaroo, centralization is the biggest problem facing AI. He compares the request to Bitcoin, which solved the centralization problem with regard to money by making it accessible to everyone and eliminating gatekeepers. Similarly, the request applies the same idea to AI, providing a decentralized network that allows for open innovation and transparency.
The Need for Decentralized AI
The decentralized AI ecosystem offers resilience that Big Tech cannot, says Samaroo. AI models rewarded for performing well and working on “pure capitalism” are more likely to be transparent and fair. Users want more transparency when it comes to what is going on in AI models, and decentralized AI provides this transparency. With decentralized AI, users can see the incentive structures and code, which is not possible with closed systems.
Samaroo explains that companies like Xtao are working on decentralized AI solutions, such as Grass, which has stimulated data acquisition, and Render, a decentralized calculation network. The request is a worldwide network of AI that addresses various problems in the AI stack and provides a more open and decentralized alternative to traditional AI models.
Competing with Big Tech
Big Tech companies have an advantage when it comes to large amounts of data, but decentralized AI can compete by reducing data and incentivizing people to collect and curate it. Projects like Grass have shown that decentralized networks can bring high-quality data records to the table. Additionally, decentralized networks align incentives with creators and contributors, providing rewards for participants and promoting fair and transparent AI models.
Samaroo notes that security and governance are crucial aspects of decentralized AI. The request addresses these concerns by using validators to recognize harmful or high-quality results and providing surveillance guidelines from the foundation. Over time, security and governance become the task of the validators, ensuring that the network is fair and transparent.
Censorship and Bias
Censorship is a concern in both centralized and decentralized AI models. However, Samaroo argues that decentralized AI is more representative of the people and provides a more transparent and fair system. If a subnet or product is overlapped on the request, participants can coordinate and adapt the incentives, ensuring that poor performance gets fewer rewards.
In conclusion, decentralized AI provides a more open, transparent, and fair alternative to traditional AI models. With the request, companies like Xtao are working to create a worldwide network of AI that addresses various problems in the AI stack and promotes innovation and transparency. As the world becomes increasingly reliant on AI, it is essential to consider the importance of decentralization and transparency in AI models.
Read the full interview with Karia Samaroo on Crypto.News to learn more about the future of decentralized AI and the role of Xtao in shaping this future.
