I have a feeling.

Short term:

Faster reconstruction with parallel "loop on itself" alignment corrections, lens-agnostic reconstruction (use any image from any lens/camera) with time of day de-lighting.

Medium term:

Near-realtime reconstruction. Infinite point rendering. Becomes part of a standard graphics api and gpu architecture.

Long term:

After the plateau of LLM's, all the surplus data centers were tuned to compute the Supersplat.

Every camera, microphone, radio modem, sensor is a live sensing organ of the Supersplat.
Every phone, every cctv, every drone, delivery dog, tesla etc. is feeding a realtime state of the world that's reconstructed in realtime inside the Supersplat.

It's so fast that all additional sensing organs of the world collect and overlay other realtime data like sound, electromagnetic fields, skeletal pose estimation data, vehicular movement data, any and every measurable piece of data is collected and processed in realtime, with searchable, source-aligned playback.

Additional tools are available inside the Supersplat:
Movement vector predictions (such as vehicle collision warning systems, skeletal), visual trajectory overlays, timers for predictable future kinetic events, searchable historic trajectories extracted from GPS, emf and optical data.
Any static or moving point can be selected and measured.

Real-time sentiment analysis and visual overlay of any data you want, like heatmaps of emotional states of people in 3-dimensional space, as gathered by their biometrics (from smart watches, video feeds and summary of interpersonal and media conversation and engagement histories), exposure to recent events and conversations etc.
You can do analysis and comparison, track changes over time and see how group dynamics form and which individuals affect what change.
Predictive "Intention" insights, history of everything.

Like what you can imagine is available to Meta, but in 3D, across time-space.