Emerging Trends in AI and PayFi: Near Protocol, Bittensor, and Remittix
The recent surge in interest surrounding Near Protocol and Bittensor has become a focal point in the AI-driven cryptocurrency sector this month. Both networks are pivotal in discussions about scalable computation and decentralized machine learning, showcasing a real user demand for high-performance blockchain solutions. Near Protocol, known for its speed and developer-friendly integrations, is currently priced at $2.45, reflecting a 1.34% increase in the last 24 hours, with a market cap of $3.16 billion. However, its trading volume has dipped by 2.99%, indicating a slowdown in short-term trading activity while still attracting developers focused on AI-powered decentralized applications (dApps) and innovative payment models.
Bittensor, another key player in the decentralized AI landscape, continues to gain traction with its network of permissionless machine-learning miners. The TAO token is trading at $336.48, up 2.05% in the past day, with a market cap of $3.47 billion. Despite a significant 41.6% drop in trading volume to $212.95 million, interest remains high among teams developing AI-driven prediction systems and data training models. This sustained demand highlights the potential of Bittensor as a leader in the decentralized AI space.
In contrast to the AI token hype, Remittix (RTX) is emerging as a strong contender in the PayFi sector, focusing on global payments and real-world settlement solutions. Currently priced at $0.1166, Remittix has successfully raised over $28 million in private funding and is expanding its user base with a Beta Wallet testing program for iOS users. The project has also received full verification from CertiK, ranking it as the top pre-launch token on their leaderboard. With a growing emphasis on practical use cases, Remittix’s focus on secure, global transfers positions it as a potential leader in the next market cycle, appealing to investors looking for tangible applications in the crypto space.
Related News





