Samuel Sameer Tanguturi

AI's biggest bottleneck isn't model size, but the lack of a "continuity layer" that lets models build persistent understanding across sessions, leading to amnesiac intelligence.

Confusing memory benchmarks with continuity evaluations has led to underinvestment in true continuity, a critical but often overlooked property for LLMs.

Current "long-context" AI systems may be fooling us: ATANT reveals how easily they can fail at maintaining distinct narrative threads when multiple contexts coexist.