5 papers
Discovery by Dreaming: Cross-Domain Recombination in Artificial Memory
Oliver Zahn, James Evans, David Eagleman
Dreams splice together people, places, and times that never met. Neuroscience suggests this recombination is not noise, but a function driving insight and creative discovery. This…
Facts as First Class Objects: Knowledge Objects for Persistent LLM Memory
Oliver Zahn, Simran Chana
Large language models increasingly serve as persistent knowledge workers, with in-context memory - facts stored in the prompt - as the default strategy. We benchmark in-context mem…
Selective Memory for Artificial Intelligence: Write-Time Gating with Hierarchical Archiving
Oliver Zahn, Simran Chana
Retrieval-augmented generation stores all content indiscriminately, degrading accuracy as noise accumulates. Parametric approaches compress knowledge into weights, precluding selec…
ANML: Attribution-Native Machine Learning with Guaranteed Robustness
Oliver Zahn, Matt Beton, Simran Chana
Frontier AI systems increasingly train on specialized expert data, from clinical records to proprietary research to curated datasets, yet current training pipelines treat all sampl…
Attention Is Not Retention: The Orthogonality Constraint in Infinite-Context Architectures
Oliver Zahn, Matt Beton, Simran Chana
Biological memory solves a problem that eludes current AI: storing specific episodic facts without corrupting general semantic knowledge. Complementary Learning Systems theory expl…