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cover of episode We Need a W3C for AI - DTNSB WEEKEND

We Need a W3C for AI - DTNSB WEEKEND

2025/6/7
logo of podcast Daily Tech News Show

Daily Tech News Show
AI Deep Dive AI Chapters Transcript
People
M
Molly Wood
T
Tom Merritt
知名科技播客主播和制作人，长期从事在线内容创作。
Topics
Tom Merritt: 我对大型语言模型（LLM）的隐私影响感到担忧。我不想直接上传我的血液测试结果到AI模型，因为我不确定我的数据会被如何使用。我更希望有一个本地的、开源的模型，可以在我的设备上运行，这样我就能更好地控制我的数据。 Molly Wood: 我对Noonal这家公司很感兴趣，他们正在开发一个基于Web3的操作系统，可以在本地设备上创建个人数据的数字克隆。这个数字克隆只在我的设备上运行，这让我觉得更加安全。我认为我们需要一个像Tim Berners-Lee的Solid项目一样的AI标准，让用户可以控制自己的数据，并决定在哪里存储和如何使用这些数据。

Deep Dive

Chapters
Molly and Tom discuss privacy concerns surrounding the use of Large Language Models (LLMs), particularly focusing on the use of personal data. They explore the appeal of on-device AI models that don't require sending data to external services, and the overarching issue of trust in AI.
  • Concerns about privacy when using LLMs and sharing personal data.
  • Appeal of on-device AI models trained only on personal data.
  • The concept of "trust no one" (TNO) as an operative procedure in handling personal data.

Shownotes Transcript

Molly and Tom are back with a text-message-chat inspired discussion of privacy in LLMs and why we might need a standard for it, but we don’t know how that would happen.