Don’t Trust—Verify: Building a Proof of Quality for AI Data
Автор: HatchWorks AI
Загружено: 2026-02-16
Просмотров: 26
Описание:
Join an enlightening discussion with Rowan Stone, CEO of Sapien, as we delve into the critical question of why we should trust AI.
In this conversation, we explore the importance of the quality and provenance of data used in AI systems, Rowan's experience in the on-chain world, and how his company Sapien is creating a proof of quality for the AI data supply chain.
Learn about the incentives, validations, and the role of synthetic data in building trustworthy AI.
Discover how Sapien is transforming data validation with a decentralized protocol and what it means for the future of AI systems in real-world applications like autonomous vehicles and humanoid robotics.
Don’t miss this important discussion on the future of data in AI!
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Key Moments:
01:04 The Importance of Data Quality in AI
03:32 Challenges and Risks in AI Development
07:08 Sapien's Approach to Data Validation
08:35 Incentives and Trust in AI Systems
13:30 Building a Decentralized Data Protocol
23:22 Consensus and Collaboration in AI and Crypto
36:17 The Future of AI Models and Open Source
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Key Links:
Sapien: https://www.sapien.io/
Connect with Rowan on LinkedIn: / rowan-stone
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