After researching @OpenLedger , I’m not so inclined to mindlessly hype it anymore.
Its direction is spot on: AI data contributors should get their share of the profits, and model calls should be traceable and allocatable. But the reality is pretty clear; even with PoA attribution being fair, it can't escape issues like algorithm weight, data redundancy, node costs, and the compression of regular users' profits.
The real challenge with $OPEN isn’t just clarifying the vision, but proving that ordinary folks can get involved, not just working for the ecosystem.
Right now, the AI+Web3 market indeed lacks this foundational protocol, but the toughest part of foundational protocols is right here: the tech has to run smoothly, incentives need to be distributed fairly, and the ecosystem has to have long-term users.
So when I look at #OpenLedger , I won't just focus on how much it rebounds, but rather if it can actually generate real profits in the long run.
Its direction is spot on: AI data contributors should get their share of the profits, and model calls should be traceable and allocatable. But the reality is pretty clear; even with PoA attribution being fair, it can't escape issues like algorithm weight, data redundancy, node costs, and the compression of regular users' profits.
The real challenge with $OPEN isn’t just clarifying the vision, but proving that ordinary folks can get involved, not just working for the ecosystem.
Right now, the AI+Web3 market indeed lacks this foundational protocol, but the toughest part of foundational protocols is right here: the tech has to run smoothly, incentives need to be distributed fairly, and the ecosystem has to have long-term users.
So when I look at #OpenLedger , I won't just focus on how much it rebounds, but rather if it can actually generate real profits in the long run.