Published on July 11, 2026, the post describes Sparse Delta Memory: an explicit memory with sparse addressing used alongside an RNN that, according to the post, expands state capacity without raising compute per token.
On July 11, 2026, a post introduced Sparse Delta Memory (SDM), which uses sparse addressing to read from and write to an explicit memory associated with an RNN. According to the post, the method increases state capacity while keeping compute per token constant. It presents the architecture as an option to evaluate in research on long context.
The available text gives no quantitative results or implementation details. To assess the proposal, consult the original post and check which experiments, comparisons, and conditions support its claims about capacity and compute. If you use AI to study or apply the material, avoid submitting personal data or internal documents unless necessary, and check your organization's policies.