The competition required participants to convert 256 channels of raw neural activity into clear, fluent text without precise time-alignment data. Tether EVO’s success in decoding complex neural signals and Electrocorticography (ECoG) recordings, competing against global data science teams and leading AI research institutions, demonstrates that high-performance reasoning can be achieved without the massive, centralised compute power typically associated with “Big Tech” models.
By securing a fourth-place finish, Tether EVO demonstrated that its local-first AI approach can perform competitively on one of the most complex data challenges in machine learning, decoding neural signals into usable text.
“At Tether, we believe that the next frontier of human evolution is the ability to leverage the full potential of machine learning and AI, paired with the uniqueness of our brain, ensuring full control remains in the hands of the user, rather than in centralized datacenters that could access to people’s most intimate thoughts,” said Paolo Ardoino, CEO of Tether. “Securing a top position in this global competition is more than a technical win for our engineers. Rather, it is a proof of concept for our wider mission. We are building the tech infrastructure layer for the future of society that empowers human evolution, leveraging the most advanced AI techniques, while preserving people’s right to freedom, privacy, and self-sovereignty.”
This commitment to open data and peer-to-peer intelligence ensures that, as AI evolves, it remains a tool for empowerment rather than a mechanism for centralised control.
About Tether EVO
Tether Evo is Tether’s frontier technology division, dedicated to the intersection of biology and machine intelligence. Specialising in Brain-Computer Interfaces (BCI) and neuroprosthetics, Tether Evo builds local-first, high-performance systems designed to empower individuals and preserve personal autonomy in an increasingly centralised world.