Coinbase Mortgages, Privacy for AI and Payments, Lexe Launches

Coinbase Mortgages, Privacy for AI and Payments, Lexe Launches

From Presidio Bitcoin Jam by With David King, Max Webster, and Steve Lee

March 27, 2026 · 1h 31m

About this episode

The episode discusses Coinbase's Bitcoin-backed mortgage model, privacy issues in AI and payments, and the launch of Lexe.

0:00 Opening banter, Iowa State, and March Madness stakes 07:10 Coinbase’s Bitcoin-backed mortgage model 11:12 Who the Coinbase mortgage product is really for 20:58 Competitive implications for Bitcoin lending and housing finance 27:40 De minimis tax policy and the case for Bitcoin payments 31:27 STRC-backed stablecoins as regional savings products 37:10 Lexe’s launch and trusted-execution Lightning wallets 45:10 SDK design, experimentation, and the search for breakout use cases 52:46 Privacy limits in Base, Spark and stablecoin payments 01:02:20 Hong Kong’s decryption powers and the erosion of financial privacy 01:04:50 Stripe, open-source AI, and shifting infrastructure questions 01:12:52 Spiral’s AI criteria (low-level tools, protocols, and defensibility) 01:16:08 Peer-to-peer training networks and verifiable model provenance 01:20:13 Naming systems for agents and online resources - SHOW NOTES: Coinbase Mortgages: https://www.coinbase.com/blog/coinbase-powers-the-first-crypto-backed-conforming-mortgages-by-better Lexe Launch: https://blog.lexe.app/public-launch/ - SUBSCRIBE: https://www.youtube.com/@PresidioBitcoin

People in this episode

Hosts: David King, Max Webster, Steve Lee

Topics covered

  • Bitcoin mortgages
  • AI privacy
  • stablecoins
  • financial privacy
  • housing finance
  • payment systems

Keywords

  • Coinbase
  • mortgage
  • Bitcoin
  • Lexe
  • privacy
  • stablecoins
  • AI
  • payments
  • financial privacy
  • March Madness

Mentioned in this episode

Organizations: Coinbase, Lexe, Stripe, Spiral

Products: Bitcoin-backed mortgage, STRC-backed stablecoins, trusted-execution Lightning wallets, open-source AI, peer-to-peer training networks

Places: Hong Kong

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