Official Session Summary
Pulled from the live conference page.
The retrieval pipeline is the default architecture for AI memory: embed, index, search, rerank, hope the right context makes it through. It's also a dead end. The next paradigm for AI memory is agentic. Instead of building elaborate infrastructure to compensate for what models can't do, let the model do the work. This talk covers how this approach produced a new state of the art on the most widely used long-term memory benchmark in conversational AI, why the field got stuck building workarounds, what it looks like when you stop, and where AI memory is actually heading.
Speaker Background
Quick context on the person or people on stage.
Engineering Lead at OutRival, working on memory systems and challenging default assumptions around retrieval-first AI architectures.
Why This Slot Matters
A compact framing layer for navigating the conference.
This is one of the more substantive abstract-backed sessions on the schedule; worth opening when you need enough context to decide whether to stay in the room.