I can't sleep at three in the morning, not because of insomnia, but because I discovered something interesting.

What is the biggest pitfall in AI application entrepreneurship? It's not algorithms or computing power, but data. High-quality labeled data is ridiculously expensive, and there's also the worry of it being misused. Using cloud provider services? Basically working for the landlord, who has a thousand ways to choke you.

Recently, I came across a certain protocol in the Sui ecosystem and finally understood what a true solution looks like.

It has done two important things. First, genuine autonomy over data — integrated encryption protocols that allow me to set rules for my datasets, such as "someone must pay 10 times to decrypt for training," with rules automatically enforced and unchangeable. This is the real data marketplace. Second, cost issues. Using erasure coding technology for redundancy backups, 4 to 5 times redundancy is enough, which is much cheaper than those storage schemes with tenfold redundancy. The data can truly be used without being trapped in some permanent fee scheme.

Some projects have already implemented the "tokenized AI data" model, meaning data has shifted from a black hole of costs to something that can generate cash flow.

By 2026, the AI battlefield will be very intense. Whoever holds useful, controllable data will win the first half. This protocol is rewriting the rules of the data layer, and for entrepreneurs, it's like discovering a mine waiting to be dug.