If they wanted to, they would.
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Instead of rapid cycles, “slow drops” emphasize fewer, curated releases. They build anticipation and deepen engagement while reducing overproduction. For luxury, this model aligns with exclusivity, contrasting fast fashion’s volume-driven churn. If consumers embrace patience, slow drops could redefine fashion’s rhythm.
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The convergence of AI and crypto promises autonomous agents, verifiable computation, and tokenized data markets. Yet much of the narrative remains speculative. Genuine utility emerges where blockchain provides trust, ownership, or coordination that AI alone cannot achieve—such as decentralized training data markets, verifiable inference, or AI agents transacting on-chain. Without clear use cases, AI+Crypto risks being hype-driven. Long-term value requires demonstrating necessity: proving that AI systems integrated with crypto deliver outcomes impossible in centralized models.
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