I have read quite a few discussions about on-chain GPU computing networks recently and noticed an interesting phenomenon.

Most people are no longer debating "Is this thing feasible?" but rather "Should I participate now?" This hesitation in itself is quite worth pondering.

Honestly, after delving into these projects, the feeling is very straightforward—it's not something built on hype and storytelling. On the contrary, once the underlying rules are in place, there's less reliance on external buzz.

The core idea is this: after GPUs connect to the network, they perform real AI tasks. Training, inference, generation—these are all tangible activities happening in real time. The system keeps track of work done through a proof-of-work mechanism and distributes rewards based on computational contribution. This mechanism is known as Proof of Compute.

From another perspective, the competition isn't about who can tell the best story, but whether the computational power is genuinely doing work—these are two entirely different game rules.

These projects usually have a very obvious characteristic: they are quite quiet in the early stages, with a very short participation window. By the time everyone understands what they are doing, the conditions have often already changed. Early participants and latecomers face fundamentally different mechanisms.

If you're interested in AI and computational power, you should at least clarify your logic before the key moments arrive. Only then can you have a clear standard for judgment when changes happen.