Tsinghua paper shows AI memory deletion fails 98.5% of forget requests
Memory benchmarks so far test only storing and recalling facts, so unlearning failures have gone unmeasured; BEMULA gives that gap its first systematic yardstick. Teams building agents that retain user data should treat delete requests as an unverified UI state and engineer an explicit delete path with adversarial extraction tests. The paper is academic work with no regional availability angle, and its closest comparison is the memory features of mainstream agent frameworks rather than another benchmark.
