While Vitalik thinks about cryptoeconomics, Cassie thinks about cryptographic AI. She believes AI should compute without ever seeing your data. This philosophy positions Wquil at the intersection of privacy, intelligence, and sovereignty.
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Decentralized lending protocols often struggle with volatile crypto collateral. Theo changes the landscape by introducing RWA-backed stability. Borrowers can enjoy lower risk, and lenders gain higher confidence due to collateral tied to real-world assets. Theo could become the foundation for safer, more scalable lending systems in the future DeFi ecosystem.
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AI models require massive amounts of computation and high-quality data. WQuil solves both challenges. With private multiparty computation, sensitive datasets can be used in AI training without ever being exposed. Meanwhile, distributed compute nodes provide an alternative to centralized cloud providers. WQuil could become the trustless compute layer powering next-generation AI systems.
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