A few days ago, I went short on 2000 tokens of $OPG , set up my own dedicated node, and even fine-tuned an image recognition algorithm. Initially, I had it all figured out, relying on the decentralized computing power marketplace's self-pricing mechanism to steadily rake in passive income from platform calls.
But reality hit me hard; my algorithm was like a new shop in a back alley—nobody was stopping by. After a full week, the on-chain call records were basically zero. After losing money and stepping on a few landmines, I finally understood the underlying competitive rules of the decentralized AI computing network. $BTC
To be honest, this network is indeed friendly to suppliers; smart contracts automatically split revenue, and it’s transparent, so there’s no need to worry about settlement disputes. However, its traffic rules are particularly brutal; the system's ranking doesn’t consider how many tokens you’ve locked but only recognizes historical call activity.
This creates a no-win cycle: new nodes and algorithms without initial traffic can’t get any platform exposure, and the less they're used, the lower they rank, ultimately getting marginalized by the market.
On top of that, the hidden costs of nodes are the real killers. To ensure data credibility and prevent tampering, every computational inference must generate zero-knowledge proofs. This security mechanism is reliable but extremely resource-intensive. $ETH
During the downtime with no orders, the costs of computing power and equipment maintenance keep eating away at my capital—it's just a continuous loss of principal. In contrast, top-tier models on the platform continue to attract orders thanks to their traffic advantage, fully realizing the Matthew effect.
From my firsthand experience, I sincerely advise ordinary retail traders and individual developers not to jump in blindly. The current decentralized AI track is not a cash cow just for setting up a node; it’s a battle of funding and endurance. Instead of chasing after niche long-tail tracks hoping for a windfall, it’s better to focus on actively traded contracts with real cash flow and stable returns—that’s the survival rule for regular folks. #opg @OpenGradient
But reality hit me hard; my algorithm was like a new shop in a back alley—nobody was stopping by. After a full week, the on-chain call records were basically zero. After losing money and stepping on a few landmines, I finally understood the underlying competitive rules of the decentralized AI computing network. $BTC
To be honest, this network is indeed friendly to suppliers; smart contracts automatically split revenue, and it’s transparent, so there’s no need to worry about settlement disputes. However, its traffic rules are particularly brutal; the system's ranking doesn’t consider how many tokens you’ve locked but only recognizes historical call activity.
This creates a no-win cycle: new nodes and algorithms without initial traffic can’t get any platform exposure, and the less they're used, the lower they rank, ultimately getting marginalized by the market.
On top of that, the hidden costs of nodes are the real killers. To ensure data credibility and prevent tampering, every computational inference must generate zero-knowledge proofs. This security mechanism is reliable but extremely resource-intensive. $ETH
During the downtime with no orders, the costs of computing power and equipment maintenance keep eating away at my capital—it's just a continuous loss of principal. In contrast, top-tier models on the platform continue to attract orders thanks to their traffic advantage, fully realizing the Matthew effect.
From my firsthand experience, I sincerely advise ordinary retail traders and individual developers not to jump in blindly. The current decentralized AI track is not a cash cow just for setting up a node; it’s a battle of funding and endurance. Instead of chasing after niche long-tail tracks hoping for a windfall, it’s better to focus on actively traded contracts with real cash flow and stable returns—that’s the survival rule for regular folks. #opg @OpenGradient