AI Memory
topic on 5 shows · 6 statements across 6 episodes
More or Less 
BG2 Pod 
Masters of Scale 
the a16z Podcast 
Big Technology
6 statements about AI Memory, every show
Moore: AI Memory Will Render Software Onboarding Obsolete Within Two Years
“Whether it's their own memory or, like, ChatGPT lending memory, any product that you start to use two years from now, if it doesn't immediately feel like it knows you, it will feel broken. Like, the concept of, like, onboarding to a product should not be somet…”
Pineau: Extending context length is the easiest path to AI memory
“Extending the context length is kind of the easiest way to go about it, but there's quite a bit of progress that is being made on this.”
Sam Lessin: AI memory does not create real user lock-in
“I think when you get down to the practicality of how people use these things and their actual preferences or whatever, it just doesn't play out that way. It's not as much of a lock-in as you want it to be.”
Gerstner: AI memory dramatically increases consumer switching costs
“If you get memory, the switching costs explode.”
Hoffman: Memory is essential for establishing trust in AI agents
“Yeah, because part of how trust is established is that the, you believe that the person knows you, Cares about you, understands, you know, what's kind of good for you, and interests, and so forth, and will act in those ways. And memory, of course, is essential…”
Gurley: AI memory systems create massive switching costs and lock-in
“One thing that drives durability, going back to our competitive advantage period, is switching costs. If I start relying on one of these things as my memory, and I don't have a way to pull that out and jump to something else, I'm stuck. Like, I am hook, lock, …”