In early on-chain system design, the primary concern was simple—whether it could execute correctly this time. But as systems began to carry long-term value, this focus naturally shifted: no longer just accuracy in a single instance, but ongoing reliability. This seemingly subtle shift actually redefines the understanding of underlying infrastructure. As a key component connecting on-chain and off-chain worlds, oracles were the first to feel this paradigm change.

Imagine: a system performs flawlessly in the short term but gradually accumulates deviations over time, eventually leading to a total collapse. This is not a hypothetical scenario but a trap that real financial systems, data systems, and risk control systems have all experienced. To avoid falling into the same pitfalls, on-chain systems must consider the uncertainties of long-term operation from the very beginning, rather than focusing solely on the correctness of single results. Whether the design of the oracle incorporates long-term impact considerations is crucial.

This is also why, when I reevaluate the APRO project, I see not just a solution to a specific scenario, but an adjustment of the entire system structure toward the goal of "long-term correctness." The value of oracles in the future will not lie in "providing an answer," but in "continuously providing acceptable answers." This requires the system to have self-correcting capabilities, able to adapt judgment logic flexibly as environments change, rather than being locked into a fixed model. The design philosophy of APRO precisely embodies this—through layered and verification mechanisms, leaving room for adaptability and error correction.