Fragments of information are arriving from ahead in time. They come through unstable quantum effects, distorted by interference, incomplete, and without explanation. They do not predict the future. They reference it as if it already exists.
The Inference Engine analyzes these transmissions. Using probabilistic models and AI-assisted denoising, we reconstruct plausible futures from corrupted data. Each projection remains provisional.
As new fragments arrive, earlier conclusions are revised. The future, here, is not fixed. It is inferred.
This is a collective research effort. A narrative investigation into what may be coming—and why.
Explore the recovered transmission snippets. Follow the evolving projections. Participate in the reconstruction.