A code-writing laboratory discovers a payments and infrastructure problem
NEAR's current history page traces the partnership to 2017, when Illia Polosukhin and Alexander Skidanov formed NEAR.ai around a concrete ambition: models that could translate natural-language instructions into code. Polosukhin brought machine-learning research, including co-authorship of the Transformer paper; Skidanov brought distributed-database engineering. This is an official retrospective and should be read as the project's account of its own origin, rather than independent proof that every present AI claim was planned at the time.
According to that account, the models and available GPU capacity were too early, while paying a global group of student contributors revealed how awkward cross-border settlement could be. The pair turned toward blockchain and in 2018 founded NEAR Protocol. The causal thread was therefore practical rather than mystical: an AI product ran into coordination and payment constraints, and its builders decided to create infrastructure they believed developers could actually use.
