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A while ago, I watched an AI perform the entire swap process, and it was truly astonishing. It was just a simple operation, yet the AI actually got stuck and wouldn't move. The transaction was sent out, and the on-chain status immediately returned as successful, but this guy was like a child crossing the street—looking left and right, hesitating and not daring to move forward.
Where is the problem? At this point, the blockchain only provides a soft confirmation, which is far from the final, definitive result. In that brief moment of hesitation, the price slipped. For us humans, this delay is hardly noticeable, but if a team composed of multiple AI agents is working together, such a tiny pause can directly ruin the entire operation chain.
This is also why the $KITE community is constantly pondering how to balance latency and finality—it's not just talk; it's a real technical challenge.
Let's clarify two concepts first. Latency is the waiting time from when you send a transaction to when you can actually use the funds. Finality, on the other hand, is the moment when a transaction is completely locked in, with no possibility of reversal. AI agent networks are essentially a group of intelligent robots that handle transactions, routing, signing data, and verifying results, often requiring several steps to complete. Low latency feels like instant messaging—smooth and quick. Strong finality is like storing a file in a safe—reliable and secure. Ideally, both are desired, but in reality, you're often forced to choose one over the other.
Another easy point to confuse: fast block production doesn't mean fast finality. Some public chains produce blocks at lightning speed, but the network can still roll back several blocks and choose a different chain. This is called chain reorganization, similar to two employees submitting the same report, and the company ultimately choosing a different version. Though not common, it does happen. For ordinary users, it's just a minor inconvenience; but for robots executing a series of ten or more steps, this becomes a systemic risk.