The author said progress on AI memory had remained limited despite many proposed solutions. They wrote that TensorFold was working on ways for local language models to remember new facts, corrections and deletions while running, without changing their base weights or expanding every prompt. The author said Ashxhart had created what they called a “revolutionary” solution.