Livgens

Simulation.

Livgens writing on simulation.

Livgens · blog
01Simulation
The data you need was never collectedPublic text is running out, robot data is scarce, and models fed their own output lose the rare cases first. The way through is to represent real things exactly, run them forward, and hold every result to the world.Synthetic data in 2026: what it is good for, and where it breaksSynthetic data became ordinary infrastructure in 2025, from open post-training sets to world models for physical AI. The research on model collapse says where it breaks, and points to generating from a measured representation of the thing rather than from a model of the data.A little real data goes a long wayLearn from a checked simulation first, then from a few real measurements, and each measurement counts for more. A registered Living Worlds study on unmetered power feeders shows how much more, where the advantage ends, and what happens when the simulation is wrong.