🛡️Censorship Resistance

Importance of fair distribution of AI technology

Censorship-resistance is of paramount importance for AI models as it ensures the preservation of free expression, diversity of thought, and protection against unwarranted restrictions on information dissemination. However, the structural centralization of AI makes it prone to censorship and also creates a single point of failure.

Having models hosted on centralized compute platforms like AWS also creates a troubling single point of failure, if these platforms were to go down it would create an outright outage of access to the models.

Additionally, model providers can also choose to censor traffic from certain parties or regions, furthering reducing access. In such a scenario, the undue influence or control of that single provider could lead to widespread censorship or blatant manipulation of AI-generated content.

Censorship-Resistance on the Vanna Network

The Vanna Labs team believes in creating an open-platform where any party can decentralize storage of their models, and also permissionlessly allow for model inference so both developers and users can always have access to AI.

By promoting censorship-resistance, AI models can contribute to a more open and democratic information landscape, fostering innovation and preventing the undue influence of a single authority over the flow of knowledge. Censorship-resistance, therefore, not only safeguards against deliberate censorship but also mitigates the risk of unintentional disruptions. A decentralized approach to AI hosting promotes resilience, transparency, and a more robust defense against the concentration of power that could compromise the integrity of AI systems.