Over a month, more than 4 million responses were collected. Each response was used in real-time to control sandblasting machines that shaped the surface of a travertine block. The left side of the sculpture represented votes in favor of humans. In contrast, the right side represented votes in favor of artificial intelligence, specifically neural networks.
Participant opinions were divided, with 67% voting for humans and 33% for neural networks. Humans prevailed in areas that require emotion and creativity, while neural networks led in tasks involving accuracy and calculations.
A trace is a record — an artifact that allows us to reconstruct what came before. A trace on stone is one of the earliest forms of mnemonic technique, a way for humans to preserve memory. But a trace on stone can also result from natural processes. The slow transformation of its surface through wind, water, and temperature inspired the concept behind data.relic. In this project, sandblasting machines leave traces on stone similar to those that might otherwise take millennia to form in nature — but here, each trace is shaped by collective human input. The trace takes on a dual meaning: at once a physical imprint, and a sign that calls for interpretation.
The sculpture data.relic becomes a material record of the present moment — an artifact shaped by collective choice, created at the dawn of our encounter with artificial intelligence.
In the data.relic project, this natural process is reinterpreted through technology. SPLACES.STUDIO uses sandblasting to simulate erosion caused by wind and compresses millennia-long processes into a single month.