---
title: "Adaption Labs — Gradient-Free Continual Learning"
category: "talks"
date: "2026-06-30"
time: "1:30pm-1:50pm"
track: "Memory & Continual Learning"
room: "Track 3"
speakers: ["Sara Hooker"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "Memory & Continual Learning"
scheduleRoom: "Track 3"
scheduleLabels: ["Memory & Continual Learning", "Track 3", "session", "confirmed"]
---
# Adaption Labs — Gradient-Free Continual Learning

## Conference Context
- Date/time: 2026-06-30 · 1:30pm-1:50pm
- Track/room: Memory & Continual Learning · Track 3
- Speaker(s): Sara Hooker
- Session type/status: session · confirmed

- Track: Memory & Continual Learning
- Room: Track 3
- Session type: session
- Status: confirmed

## Session Description
Gradient-free continual learning for AI systems that adapt from real-world experience.

## Media Evidence
No related AI Engineer channel video found yet.

## Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

### Media Signals
No linked video, transcript, or slide source has been attached yet.

### Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

## Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

## People
- [[sara-hooker]]

## Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.

## Synthesis
### Synthesized Breakdown
# Adaption Labs — Gradient-Free Continual Learning ## Conference Context - Date/time: 2026-06-30 · 1:30pm-1:50pm - Track/room: Memory & Continual Learning · Track 3 - Speaker(s): Sara Hooker - Session type/status: session · confirmed - Track: Memory & Continual Learning - Room: Track 3 - Session type: session - Status: confirmed ## Session Description Gradient-free continual learning for AI systems that adapt from real-world experience. ## Media Evidence No related AI Engineer channel video found yet. ## Evidence Graph This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits. ### Media Signals No linked video, transcript, or slide source has been attached yet.

### Speaker And Company Context
- [[sara-hooker|Sara Hooker]] — CEO, and Co-founder at [[adaption|Adaption]].

### Topics Covered
- Topic links are pending transcript-backed classification.

### Derived Links And Source Material

### Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.

### Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.