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Memory & Continual LearningSession
Scaling Compute on Context
Jack Morris
- When
- Wednesday, July 111:40 AM – 12:00 PM · 20 min
- Where
- Track 3San Francisco, CA · imported from ai.engineer's public schedule feed
About this session
A case for when context is enough, and when updating weights may be the real memory mechanism.
Speaker
Jack Morris
Cofounder, Engram
Jack is a cofounder and head of research at Engram. He received his PhD in 2025 from Cornell University
More in Memory & Continual Learning
- Beyond Static Intelligence: Evaluating Continual LearningWednesday, July 1 · 10:45 AM – 11:05 AM · Track 3
- Scaling up Continual LearningWednesday, July 1 · 11:10 AM – 11:30 AM · Track 3
- Memory Harnesses for Long-Running Research AgentsWednesday, July 1 · 11:40 AM – 12:00 PM · Main Stage
- Intelligence + Continual Learning = ExpertiseWednesday, July 1 · 12:05 PM – 12:25 PM · Track 3
- Adaption Labs — Gradient-Free Continual LearningWednesday, July 1 · 1:30 PM – 1:50 PM · Track 3
For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
- JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
- iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
- Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
- MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents
No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.