Decentralizing AI: Insights from xTAO's Karia Samaroo

Friday, September 12, 2025 12:00 AM
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Decentralizing AI: Insights from xTAO's Karia Samaroo cover

Karia Samaroo, the founder and CEO of xTAO, has been vocal about the necessity for decentralization in artificial intelligence (AI). In a recent interview, he emphasized that the current centralized nature of AI, predominantly controlled by major tech companies, poses significant risks. Samaroo draws parallels between Bittensor, a decentralized AI ecosystem, and Bitcoin, highlighting that both aim to eliminate centralization risks. By decentralizing AI, Bittensor allows for a more open and transparent system where users can access and contribute to AI models without the constraints imposed by a single authority.

Samaroo points out that the Bittensor network operates as a “worldwide web of AI,” encompassing various subnetworks that address different challenges within the AI stack. This interconnectedness not only enhances scalability but also fosters an environment of open innovation where AI engineers can experiment and monetize their models freely. Unlike traditional AI models that require individuals to navigate through corporate hierarchies, Bittensor empowers users to directly engage with the network, thereby promoting a more inclusive and rewarding ecosystem.

Furthermore, Samaroo discusses how decentralized AI can compete with data-rich models from big tech firms. By incentivizing crowdsourced data collection, decentralized networks can potentially match or exceed the quality of datasets controlled by major companies. He also addresses concerns regarding safety and bias in AI outputs, explaining that Bittensor incorporates validators to monitor and ensure the quality of outputs. This decentralized governance model allows participants to adjust incentives based on performance, fostering a system that is more representative and accountable to its users. Ultimately, Samaroo believes that decentralized AI can provide a fairer and more transparent alternative to the current centralized models, aligning better with user needs and expectations.

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