According to #DePINscan data, #network3 has nearly 4400 devices on the chain, with each device having a return on investment period of 100 days.
Network3, as a representative project in the #depin + #Ai field, has been pondering where its differentiation lies compared to similar projects like Grass, UpRock, and DAWN.
LLM models have high requirements for hardware, bandwidth, etc., and I remain skeptical about whether ordinary users' devices can train LLM models.
After entering the mining machine market, Network3 can create LLM models that fit the market, maximizing user experience while also generating revenue to support the team's commercialization efforts. In the future, it may be able to go further than other projects 🏃
