The collision between blockchain and artificial intelligence exposes an interesting time paradox.

From a human perspective, the confirmation time for one block on Ethereum is about 12 seconds, which is just a blink of an eye. But for AI agents operating at nanosecond speeds? Those 12 seconds feel as long as a century in geological time.

When Kite AI was building the machine interconnection network, it faced a fundamental physics problem: if the pulse of the blockchain can't keep up with the thinking pace of AI, how can the skyscraper of agent economy be constructed?

The reality is quite harsh—existing blockchain technology is inherently designed for human physiological rhythms. We can accept waiting a few seconds after a transfer, and some even find this delay reassuring. But for AI agents engaged in high-frequency arbitrage, real-time risk control, or automated market making? Every millisecond of delay directly equals the loss of informational advantage. This mismatch in the flow of time ultimately forces on-chain agents to make only low-frequency macro decisions, making it impossible to handle micro fluctuations happening in real time.

This is the true dividing line. Kite AI is not content with just building a faster version. It positions itself as the machine execution layer, aiming to bridge the gap between machine computation time and blockchain consensus time. The goal is to make the update speed of on-chain state gradually approach the physical limits of network transmission. At the infrastructure level, this pursuit is of great significance.