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隐私保护的预言机可以为人工智能获取大量新的数据来源。这就是Props——受保护的管道背后的理念。
与@lmoroney的讨论,他在深入技术主题方面无与伦比。特别要听听他的鸭嘴兽轶事。

2025年7月9日
A lack of data is holding back AI—what’s available on the public Internet is just a small fraction of the world's information.
This creates a massive opportunity. If privacy can be protected, medical and other highly sensitive yet extremely valuable data could safely train LLMs, leading to major leaps in understanding by AI models, such as in health and financial markets.
Chainlink Chief Scientist @AriJuels, and Chainlink Advisor and former AI Advocacy Lead at Google, @lmoroney, came together to discuss how Chainlink’s privacy-preserving oracles and protected pipelines for machine-learning security can advance AI ↓
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