As model capabilities gradually converge,

what truly makes a difference is no longer who has more parameters,
but who can provide more open, more reliable, and more long-term accessible AI infrastructure.

@nesaorg is essentially designing a new set of "operating rules" for AI:
🔹 Nodes can join or leave at any time, and the system can still operate normally
🔹 Machines with different performance levels can find their place in the network
🔹 Computation results can be verified by other nodes, rather than "trusting a single server"
🔹 Incentives are tied to quality, not just stacking more computing power

If in the past AI was "a platform owning the model,"
then @nesaorg aims to promote a network that collaboratively runs AI.

This is not just a technological upgrade, but a structural change.