$OPG back to the TGE origin, not worth spending too much ink. What's worth noting is that after the price dropped back, the on-chain reasoning is still queuing up, and TEE proofs are still being churned out.
In the past year, AI + Web3 went from concept explosion to bubble burst, with each round of cleansing taking away a batch of projects. Those that still have new weights uploaded to Model Hub two months after TGE, and developers still running scripts, are few and far between. The price may have retreated, but the network is still operating, supported not by secondary market sentiment, but by another group paying the utility bills. $BTC
Distinguishing between "trading" and "using" is straightforward, just look at the windows they open daily. Traders only see candlesticks and alerts on their screens, with their operations completed on exchanges. Users are constantly on terminals and API docs, selecting models, constructing inputs, waiting for TEE proofs, and feeding results to Agents. Traders only have transaction records on-chain, while users burn Gas with every inference, truly paying the network's utility bills.
The total volume of 2 million verifiable inferences can be misleading; it needs to be broken down to see the structure. How much is from the airdrop period "zero-cost trials" by opportunists, and how much is real demand from developers footing the bill. Opportunists only follow the path with the highest incentives and leave once they've claimed. Every cent spent by real developers determines whether the network can renew its GPU lease next month. $ETH
This isn't a matter of "community consensus"; it's about "where the cash flow goes." The TGE airdrop scattered tokens to opportunistic addresses, driving the coin price up in the secondary market, but the network hasn't become more decentralized because of it. @OpenGradient With over 1500 models on Model Hub looking lively, if the call volume is concentrated during the subsidy period, "ecological prosperity" is just a balloon inflated by token incentives.
The metric I'm really focused on now is: #OPG after the airdrop incentives decline, can the monthly active addresses of pure paid inferences be stabilized? If stabilized, it indicates a positive cycle of "users sustaining the protocol" has formed. If monthly activity dries up along with the airdrop pool, it shows that this "decentralized verifiable AI" still relies on subsidies to keep the dashboard running. Before Q3, I won't jump to conclusions until this signal emerges.
In the past year, AI + Web3 went from concept explosion to bubble burst, with each round of cleansing taking away a batch of projects. Those that still have new weights uploaded to Model Hub two months after TGE, and developers still running scripts, are few and far between. The price may have retreated, but the network is still operating, supported not by secondary market sentiment, but by another group paying the utility bills. $BTC
Distinguishing between "trading" and "using" is straightforward, just look at the windows they open daily. Traders only see candlesticks and alerts on their screens, with their operations completed on exchanges. Users are constantly on terminals and API docs, selecting models, constructing inputs, waiting for TEE proofs, and feeding results to Agents. Traders only have transaction records on-chain, while users burn Gas with every inference, truly paying the network's utility bills.
The total volume of 2 million verifiable inferences can be misleading; it needs to be broken down to see the structure. How much is from the airdrop period "zero-cost trials" by opportunists, and how much is real demand from developers footing the bill. Opportunists only follow the path with the highest incentives and leave once they've claimed. Every cent spent by real developers determines whether the network can renew its GPU lease next month. $ETH
This isn't a matter of "community consensus"; it's about "where the cash flow goes." The TGE airdrop scattered tokens to opportunistic addresses, driving the coin price up in the secondary market, but the network hasn't become more decentralized because of it. @OpenGradient With over 1500 models on Model Hub looking lively, if the call volume is concentrated during the subsidy period, "ecological prosperity" is just a balloon inflated by token incentives.
The metric I'm really focused on now is: #OPG after the airdrop incentives decline, can the monthly active addresses of pure paid inferences be stabilized? If stabilized, it indicates a positive cycle of "users sustaining the protocol" has formed. If monthly activity dries up along with the airdrop pool, it shows that this "decentralized verifiable AI" still relies on subsidies to keep the dashboard running. Before Q3, I won't jump to conclusions until this signal emerges.