$NEAR The funds will explode when it’s turn. The target is 50 US dollars.

1) NEAR founder Illia Polosukhin has a long background in AI: he is the co-builder of the Transformer architecture. The Transformer architecture is the basic architecture of ChatGPT for LLMs large language model training today, which is enough to prove that the boss of NEAR did have experience in establishing and leading AI large model systems before establishing NEAR.

2) NRAR has launched NEAR Tasks at NEARCON 2023: its goal is to train and improve artificial intelligence models. Simply put, the model training demander (Vendor) can release task requests on the platform and upload basic data Materials, users (Taskers) can participate in answering tasks and perform manual operations such as text annotation and image recognition for the data. After the task is completed, the platform will reward the user with NEAR tokens, and these manually labeled data will be used to train the corresponding AI model.