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Many treat $VVV and bittensor:native as competing bets in crypto AI. The actual story is they are integrating at the subnet level and they are becoming complementary. Venice just launched Uncensored 1.2 trained on Targon, which is Subnet 4 on Bittensor. Erik Voorhees confirmed working directly with Bittensor subnets. This is an integration not a marketing quote. Venice runs the consumer facing privacy first AI platform. Users stake VVV for inference access. DIEM tokens represent tokenized compute credit. The business is distribution and user experience. bittensor:native runs the decentralized machine learning infrastructure across 128 specialized subnets. Each subnet is a focused market for one kind of AI work. Targon SN4 specializes in deterministic verification and consumer scale inference. The integration is Venice using TAO subnet infrastructure to power its consumer product. VVV captures the distribution and user relationship. TAO and the Targon subnet capture the underlying compute and verification work. Both tokens benefit when Venice usage grows because both are structurally in the path of the revenue. This is composability playing out in real time. Decentralized AI is not winner take all. It is a stack where different protocols own different layers and integrate at the infrastructure level. Here comes the tokenomics: VVV burns accelerate as user growth drives inference consumption. 33 million VVV already burned representing 42.8% of supply. Buyback and burn since November 2025. 25% emission reduction in February 2026. TAO dynamic subnet tokens capture value at the specialized layer. Targon SN4 benefits directly from Venice integration as inference volume flows through the subnet. TAO as the base token benefits from network wide activity growth. How do I look at this as an investment? Picking between VVV and TAO is the wrong question. The right question is what percentage of the decentralized AI stack each token captures and how that evolves as integration deepens. VVV owns the consumer layer and the token burn mechanics. TAO owns the infrastructure layer and the subnet economics. Both benefit from the same underlying trend, AI usage moving onchain through decentralized infrastructure rather than centralized providers. When AI protocols compose rather than compete, the entire category gets more valuable. The Venice Targon integration is a signal that this is already happening. $VVV bittensor:native

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