

Can AI be private? w/ Marks from OpenSecret
Mar 27, 2025
The podcast delves into pressing privacy issues surrounding AI technology. Marks from OpenSecret shares insights on enhancing privacy in digital wallets and the potential of local AI models. The conversation highlights the vital role of secure computing and the importance of open-source practices for user trust. Listeners learn about innovative projects aimed at giving users control over their data and improving the usability of crypto wallets. The discussion emphasizes a future where privacy is prioritized in every digital interaction.
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Episode notes
Marks' Privacy Journey
- Marks gained early privacy experience at a backup startup where 10% of users demanded private encryption.
- His time at Apple focused on privacy and machine learning influenced his drive for privacy in apps.
Pivot From Wallet to Platform
- Mutiny Wallet users trusted backend without ability to verify code, limiting privacy guarantees.
- Shifting from wallet to developer platform opens possibilities for widespread privacy improvements across apps.
Secure Enclaves Explained
- Confidential computing uses secure enclaves to allow verifiable, auditable backend code in cloud.
- This approach reduces trust in servers and increases trustworthy privacy for users.