μLattice: an alternative to attention for memory scaling, according to its author

What happened and what to do

The author's open-source repository and paper present μLattice, a memory design whose cost grows with input size without the quadratic term of standard attention. The author claims the method performs fewer operations than attention and keeps perfect recall across thousands of associations. These claims come from the author and have not been independently verified.

For a company evaluating alternatives to attention, the practical path is to treat the proposal as a testable hypothesis. An evaluation harness can run the code on the client's own hardware, measuring latency, memory use and recall as context length grows, using real operational data and queries. These results support the decision to adopt, defer or drop the alternative, without relying on figures published by the author.

How the consultancy can help

Diagnosis of the client's inference and context workload to decide whether an attention alternative is worth testing. Then a reproducible benchmark harness on the client's infrastructure, with a report on latency, memory and recall, and a scoped implementation if the results hold.

Next step

Send a short description of your case, including typical context length, query volume and where your infrastructure runs, and receive a scoped proposal from Wendelmaques.