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Feb 13
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LONG
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Peter Van Valkenburgh
Research Director, Coin Center
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Peter states, "I would be more comfortable if the way AI was built out over the next few years was as much as possible through decentralized systems for both like who owns the compute resources and how do we reward training data." As AI liability and centralization concerns grow, the regulatory and ethical argument for decentralized infrastructure strengthens. Crypto protocols that manage compute and data provenance offer a solution to the "black box" problem of centralized AI. Long Decentralized Compute and AI-adjacent crypto infrastructure. AI development speed in centralized tech (Hyperscalers) outpaces decentralized alternatives. |
Unchained (Chopping Block)
Why Regulatory Clarity for Developers Will De...
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Feb 07
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LONG
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Michael Casey
Chairman of the Advanced AI Society
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Casey argues that as AI agents become autonomous, there will be a massive backlash demanding "Proof of Control." Corporations need to prove data sovereignty and that an agent is acting on their behalf. The technology stack that solves this is crypto-native: Zero-Knowledge Proofs (privacy/verification), Trusted Execution Environments (TEEs), and Decentralized Storage/Compute. These are not just "crypto" plays but essential "AI Compliance" infrastructure. LONG the infrastructure layer that bridges Crypto and AI (e.g., Filecoin, Render, Arweave, or ZK-focused protocols). Regulatory capture where governments mandate centralized, closed-source AI control systems instead of decentralized ones. |
Unchained (Chopping Block)
What Do Jobs and Money Look Like in a Post-Hu...
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