The current AI ecosystem has two pain points:

The monopoly and opacity of centralized infrastructure, as well as the weakness of existing decentralized AI solutions.
Large companies' AI services often raise concerns about data privacy and algorithmic fairness;
Some on-chain AI projects are either inefficient or unable to protect privacy at all.

The emergence of @nesaorg is precisely to fill this gap.
It is not just a faster or more decentralized chain, but rather reconstructs the way AI is executed from the ground up.
Through innovative cryptographic technologies, such as homomorphic encryption and homomorphic secret sharing, it ensures that data remains encrypted throughout the entire computation process while also generating verifiable proofs.

More importantly, its model sharding technology allows ordinary hardware to participate in the network, lowering the threshold.
This is not just a technological upgrade, but a shift in mindset:
AI should be open, trustworthy, and protect everyone's privacy.
@nesaorg has shown us a viable path toward a truly democratized AI economy.