When an AI task is completed, who has saved time or money as a result? I think that is a better test of whether a product is useful than simply “connecting to computing power.” A successful task is only one step in delivery; to say that demand is real, we also need to know who pays, what they are buying, and whether they come back after trying it. There is currently no specific information to verify the customers, revenue, or computing-power utilization of these three projects, so I won’t make up claims about their commercial progress.
Over the rolling 24 hours, $TAO +0.84%. Over the rolling 24 hours, $RENDER -1.02%. Over the rolling 24 hours, $FET +0.79%. These are changes in three spot quotes over a rolling 24-hour period—not proof of orders, repeat purchases, or product progress. Nor can the direction of the price movements explain the demand for each of them.
The supply and demand for computing power need to be considered separately: whether a network can match resources to specific tasks and deliver them reliably is a supply question; who is willing to keep paying for which services is a demand question. Bringing resources online does not mean customers have arrived, and a one-time trial does not mean demand has been validated. Ideally, we should see payment and the corresponding delivery, and then whether users make repeat purchases. Without that, even a flurry of AI applications across the industry cannot be counted as orders for these particular projects.
Network incentives are another matter: who funds the rewards, what do participants actually deliver, and will the resources stay once the rewards are reduced? Incentives can attract supply, but they cannot replace customer payments. Token value needs to be examined separately: Is using the token essential to the service? Where do the fees go? What clear rights do holders have? Even if a product finds users, value does not automatically flow to the token, and growth in a company’s AI business cannot be directly equated with demand for its token.
I’m interested in AI, but the words “computing-power network” do not amount to a closed-loop business model. Rather than watching quotes and guessing at the story, I’d rather verify a real payment, reliable delivery, and whether users are willing to pay again. Product demand, computing-power supply and demand, incentives, and token holder rights each need evidence of their own.
Over the rolling 24 hours, $TAO +0.84%. Over the rolling 24 hours, $RENDER -1.02%. Over the rolling 24 hours, $FET +0.79%. These are changes in three spot quotes over a rolling 24-hour period—not proof of orders, repeat purchases, or product progress. Nor can the direction of the price movements explain the demand for each of them.
The supply and demand for computing power need to be considered separately: whether a network can match resources to specific tasks and deliver them reliably is a supply question; who is willing to keep paying for which services is a demand question. Bringing resources online does not mean customers have arrived, and a one-time trial does not mean demand has been validated. Ideally, we should see payment and the corresponding delivery, and then whether users make repeat purchases. Without that, even a flurry of AI applications across the industry cannot be counted as orders for these particular projects.
Network incentives are another matter: who funds the rewards, what do participants actually deliver, and will the resources stay once the rewards are reduced? Incentives can attract supply, but they cannot replace customer payments. Token value needs to be examined separately: Is using the token essential to the service? Where do the fees go? What clear rights do holders have? Even if a product finds users, value does not automatically flow to the token, and growth in a company’s AI business cannot be directly equated with demand for its token.
I’m interested in AI, but the words “computing-power network” do not amount to a closed-loop business model. Rather than watching quotes and guessing at the story, I’d rather verify a real payment, reliable delivery, and whether users are willing to pay again. Product demand, computing-power supply and demand, incentives, and token holder rights each need evidence of their own.
