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LLMs don't naturally have the ability to form and store short or long-term memories. This weekend at the UMD Workshop on GeoAI for Autonomous Spatial Analysis, @jasongilman.bsky.social presented a lightning talk focused on memory and autonomy as it relates to Queryable Earth and LLMs. (1/2)

16/6/26, 8:48 pm0 reposts0 likes

Element 84

@element84.com

16 June

In his talk, Jason shared how agetic data storage (including task-level and project-level storage) allows users to use and see context from past conversations to inform new work. Check out Jason's slides (docs.google.com/presentation...) and send us a message to learn more! (2/2)

docs.google.comJason Gilman - UMD Workshop on GeoAI for Autonomous Spatial Analysis 2026 Lightning TalkTowards an Agentic Queryable Earth UMD Workshop on GeoAI for Autonomous Spatial Analysis June 14, 2026 | @element84 Jason Gilman Director of AI Applications linkedin.com/in/jason-gilman I’m the Direct...