AI Ethics
4d ago
AI Sector's Disdain for Crypto May Overlook Potential Collaborative Solutions
Oct 5, 2026
AI Summary
Tricia Wang, a veteran in the tech industry, highlights a strong aversion among AI professionals towards the crypto community. Despite this animosity, she argues that blockchain technology could provide essential solutions for managing AI systems, particularly through decentralized verification methods.
- Tricia Wang, a prominent figure in the tech scene, notes that AI professionals have a strong dislike for crypto enthusiasts, often viewing them negatively when blockchain or crypto is mentioned.
- This disdain may stem from the history of scams in the crypto sector and the controversial behavior of some crypto leaders.
- Wang leads the Advanced AI Society, which aims to create a 'proof of control' infrastructure to manage AI agents and prevent them from causing harm.
- Traditional methods like 'human-in-the-loop' monitoring are deemed impractical as AI scales, prompting Wang to advocate for machine-to-machine monitoring.
- The Advanced AI Society proposes using decentralized tools that require agents to verify their authorization, utilizing technologies from the crypto industry such as distributed ledgers and zero-knowledge proofs.
- The organization has garnered support from notable figures outside the crypto world, including cryptographer Bruce Schneier and tech theorist Clay Shirky, and its proof-of-control standard is being supported by the Linux Foundation.
- Wang emphasizes that the AI sector should not dismiss the contributions of blockchain developers, who have a history of creating resilient decentralized technologies.
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