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In this episode, we’re joined by Courtland Leer, co-founder of Plastic Labs, to explore how AI can be made more personal, contextual, and aligned to individual users. Courtland walks us through his team’s mission to “decentralize alignment” and build agents that don’t just process inputs - they understand who you are.
We dive into:
- The philosophy and tech behind Honcho, a natural language memory layer for AI apps.
- Why post-training alignment is more scalable and flexible than pre-training.
- How synthetic identity lets agents model users more accurately.
- The link between education and AI—and how Courtland’s background as a teacher shapes his thinking.
- A wild story about meme coins, agent grants, and AI agents with crypto wallets.
This one goes deep on AI, identity, education, and the frontier of decentralized tech. If you’re building in the AI space or thinking about the future of human-agent collaboration, don’t miss it.
4.9
5555 ratings
In this episode, we’re joined by Courtland Leer, co-founder of Plastic Labs, to explore how AI can be made more personal, contextual, and aligned to individual users. Courtland walks us through his team’s mission to “decentralize alignment” and build agents that don’t just process inputs - they understand who you are.
We dive into:
- The philosophy and tech behind Honcho, a natural language memory layer for AI apps.
- Why post-training alignment is more scalable and flexible than pre-training.
- How synthetic identity lets agents model users more accurately.
- The link between education and AI—and how Courtland’s background as a teacher shapes his thinking.
- A wild story about meme coins, agent grants, and AI agents with crypto wallets.
This one goes deep on AI, identity, education, and the frontier of decentralized tech. If you’re building in the AI space or thinking about the future of human-agent collaboration, don’t miss it.
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