According to Paolo Ardoino, Tether is making significant advancements in AI technology, including the implementation of an Inference Manager, support for fine and federated tuning, and the development of Agent LCP and generalized multinode support. These enhancements aim to optimize trading operations through AI-driven efficiencies and are part of Tether's broader strategy to accelerate its technological capabilities by hiring more personnel to support these initiatives. This progress is expected to enhance Tether's trading infrastructure and operational performance.

According to Vitalik Buterin, a high threshold for fine tuning AI models presents a double-edged sword. It allows developers more freedom to create fine-tuned models without being restricted. However, it also increases the liability of the original developers for outcomes that deviate significantly from the original model.