🤖 AI Summary
This work identifies a common root cause—termed the “Forward-in-Time-Only” (FITO) assumption—underlying recurrent semantic errors in diverse systems, such as erroneous cloud deletions, email sequencing anomalies, and distorted memory reconstructions. These issues stem from the prevalent reliance on temporal ordering alone to manage state changes, without incorporating causal reflection mechanisms. The paper unifies these failures under the novel conceptual framework of cross-scale semantic collapse, spanning systems from network buffers to the human hippocampus. Through causal-order modeling, semantic analysis of distributed transactions, and cross-domain behavioral comparison, the study reveals three systemic failure patterns arising from the neglect of semantic causality. This analysis establishes a theoretical foundation for designing intelligent systems endowed with a semantically grounded arrow of time.
📝 Abstract
This is the fourth of five papers comprising The Semantic Arrow of Time. Parts I-III established that computing's hidden arrow of time is semantic rather than thermodynamic, that bilateral transaction protocols create causal order through a mandatory reflecting phase, and that RDMA's completion semantics implement the FITO category mistake at industrial scale. This paper traces the consequences of the FITO category mistake beyond the data center, into systems people use every day. We examine three domains where forward-only temporal assumptions destroy meaning: file synchronization, where cloud platforms silently delete user content because last-writer-wins cannot represent distributed causality; email, where timestamp-based ordering produces phantom messages, causality violations, and stuck synchronization; and memory--both human and artificial--where reconstructive processes that operate without transactional guarantees produce systematic semantic corruption. In each domain, we identify the same structural pattern: a system that commits state changes forward in time without a reflecting phase, and that therefore cannot distinguish between successful semantic integration and mere temporal succession. The pattern is not coincidental. It is the FITO category mistake operating at different scales: bytes in a NIC buffer, files in a cloud, messages in an inbox, engrams in a hippocampus, tokens in a transformer. We conclude that the semantic arrow of time is violated whenever a system treats the forward flow of information as sufficient evidence of meaning. Part V will show how the Leibniz Bridge provides a unified framework for closing this gap across all five domains.