I've been pondering whether the "verifiable AI reasoning" moat of $OPG can truly hold up. It wasn't until I saw Binance and the leading CEXs rolling out their self-developed AI DePIN computing terminals that I realized the competitive pressure it faces is much larger than I imagined.
Now, both major exchanges are building a complete AI computing infrastructure. O has launched a dedicated on-chain AI operating system and trading toolkit, while Binance is developing an AI Agent distribution ecosystem, holding the largest pool of traders in the industry, naturally controlling the biggest demand for crypto AI reasoning. For most developers involved in on-chain AI trading and smart risk control, opting for the exchange's native computing power means no cross-platform integration, no need for additional token payment adaptation, offering a one-stop closed-loop experience that will inevitably siphon off #opg potential clients.
Many people view OPG's TEE + ZKML end-to-end verifiable reasoning as a unique barrier, but this technology doesn’t have an unreplicable patent threshold; exchanges are already developing their own TEE confidential computing modules, and similarly verifiable capabilities can be achieved in a short time. Relying solely on technology won't create a significant gap.
When comparing the computing expansion capabilities of both sides, the difference is even more apparent. OPG has a rigid requirement for nodes to simultaneously carry GPU and TEE hardware, which raises the entry cost, making it difficult for retail power providers to join, resulting in slow network power supply expansion. Meanwhile, CEXs can directly build their own data centers and purchase in bulk without being restricted by node thresholds, allowing for scalable computing power on demand.
The only differentiator for OPG is decentralized auditability, but that's just a tiny fraction of the essential needs for crypto developers. The vast majority of power buyers prioritize stability, low cost, and supporting ecosystems. Exchanges come with compliance qualifications and massive traffic, leading in trust and ease of implementation.
More critically, OPG depends on eight years of continuous token rewards to maintain node supply, leading to long-term unlocking pressure that continuously suppresses valuation. In contrast, the self-developed computing power of exchanges doesn't face token inflation or large chip unlocking issues, resulting in a healthier operational logic.
On one side, we have exchanges with a fully closed-loop infrastructure of traffic, capital, and computing power, and on the other, an independent network with narrow demand, limited expansion, and token pressure. The so-called moat of @OpenGradient will struggle to withstand the continuous pressure from the big players.
Now, both major exchanges are building a complete AI computing infrastructure. O has launched a dedicated on-chain AI operating system and trading toolkit, while Binance is developing an AI Agent distribution ecosystem, holding the largest pool of traders in the industry, naturally controlling the biggest demand for crypto AI reasoning. For most developers involved in on-chain AI trading and smart risk control, opting for the exchange's native computing power means no cross-platform integration, no need for additional token payment adaptation, offering a one-stop closed-loop experience that will inevitably siphon off #opg potential clients.
Many people view OPG's TEE + ZKML end-to-end verifiable reasoning as a unique barrier, but this technology doesn’t have an unreplicable patent threshold; exchanges are already developing their own TEE confidential computing modules, and similarly verifiable capabilities can be achieved in a short time. Relying solely on technology won't create a significant gap.
When comparing the computing expansion capabilities of both sides, the difference is even more apparent. OPG has a rigid requirement for nodes to simultaneously carry GPU and TEE hardware, which raises the entry cost, making it difficult for retail power providers to join, resulting in slow network power supply expansion. Meanwhile, CEXs can directly build their own data centers and purchase in bulk without being restricted by node thresholds, allowing for scalable computing power on demand.
The only differentiator for OPG is decentralized auditability, but that's just a tiny fraction of the essential needs for crypto developers. The vast majority of power buyers prioritize stability, low cost, and supporting ecosystems. Exchanges come with compliance qualifications and massive traffic, leading in trust and ease of implementation.
More critically, OPG depends on eight years of continuous token rewards to maintain node supply, leading to long-term unlocking pressure that continuously suppresses valuation. In contrast, the self-developed computing power of exchanges doesn't face token inflation or large chip unlocking issues, resulting in a healthier operational logic.
On one side, we have exchanges with a fully closed-loop infrastructure of traffic, capital, and computing power, and on the other, an independent network with narrow demand, limited expansion, and token pressure. The so-called moat of @OpenGradient will struggle to withstand the continuous pressure from the big players.