Titans: Learning to Memorize at Test Time
What this work does
Updates a neural associative memory with gradient-based surprise, momentum and forgetting, combined with attention and persistent learned memory.
Connection to discovery
A memory-design option for long evidence histories and selective retention.
Evidence
The consulted equations specify memory updates and a parallelizable training form; architectural claims must be distinguished from any particular pretrained release.
Scope and limitations
Surprise is measured by the memory objective rather than causal information gain. The review does not infer an official code or checkpoint release from similarly named community implementations.
THE RESEARCH CONVERSATION
Discussion & reactions
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