Robin L. de Bruijn
rldebruijn
ยท
AI & ML interests
Long-term memory for LLM agents. Reading histories of millions of tokens in a near-constant context page on open-weight models. Evaluation of memory systems and what memory leaderboards actually measure. Small models on constrained hardware. As-of questions, supersession and provable forgetting in agent memory.
Recent Activity
liked a model 14 days ago
Aleph-Alpha/Kolibri-1 upvoted a paper 14 days ago
Long-WAM: Scaling the Context of World-Action Models upvoted an article 14 days ago
The Agent Said It Was Done. The Database Disagreed.Organizations
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