AI can generate text, images, and code at lightning speed -but it still struggles with one very human trait: memory. In this Deep Dive, we explore why the lack of persistent recall is one of AI’s biggest unsolved problems, why context windows and copy-paste hacks don’t cut it, and how this shortcoming creates real friction for everyday users.

We unpack the leading approaches: retrieval systems, app-level memory layers, consumer-facing tools and their limitations. Then, we spotlight a new direction: user-owned, verifiable memory. Imagine capturing your ideas, documents, and chats as portable “seeds” you own, even anchoring them on-chain for proof and permanence.

We check out Vanar Neutron, Memsync and Mem0 and look at their approaches.

This episode isn’t just about AGI theory - it’s about reclaiming time, protecting creativity, and reshaping how we work with AI today.