Centralized corporations dominate AI development, controlling vast datasets and large language models (LLMs), which fosters censorship and stifles innovation. Current AI platforms, such as Virtuals and AIXBT, rely on centralized middleware with inherent vulnerabilities, lacking cryptographic verification between smart contracts, tokens, and AI models. These systems depend on traditional client-server architecture without on-chain verification mechanisms, rendering users dependent on centralized infrastructure.

The inability to prove AI's origin, intent, or ownership further erodes trust, as proprietary models obscure their computational provenance. Moreover, the absence of distributed, equitable computing markets compels top talent to gravitate toward corporate giants, exacerbating economic disparities.