To The Moon

A Fragile Consensus Shattered by a Single Experiment Markets do not always require a collapse in fundamentals to trigger a repricing. Sometimes, a narrative that appears “sufficiently correct” is enough. In March 2026, $Alphabet(GOOGL)$ introduced the TurboQuant storage compression model. The core signal from the paper was deeply disruptive: under specific inference scenarios, KV cache memory usage could be reduced to roughly one-sixth of its original footprint, while maintaining accuracy and, in certain hardware pathways, delivering an 8x inference acceleration. The implication seemed immediate and linear—underlying storage demand would structurally collapse. The market responded accordingly. Within a few trading sessions, storage-related equiti