Why do we still have to start over with AI so often?
Everyone talks about bigger models and more computing power, but I think the real value comes from memory and context. Every conversation teaches the AI something about how we work, what we care about, and how we communicate.
The problem is that most AI systems lose that context over time. The relationship resets, and much of the value we've built disappears.
That's one reason I've been paying attention to $OPG. Their focus on persistent memory and user-owned intelligence is based on a simple idea: AI should grow with its users, not start from zero every time.
Because in the end, the future isn't just about smarter AI, it's about AI that remembers, adapts, and becomes more useful over time.