Tomorrow Space – Continual learning world model for trajectory prediction

Summary: Tomorrow Space is a continual world model designed to understand past, present, and future states by predicting trajectories. It connects domains like prediction markets, sports, AI analysis, and fintech, offering scalable future scenario forecasting beyond next-token prediction models.

What it does

It predicts long-term future trajectories by learning overall scenarios without relying on next-token prediction or thinking tokens, unlike models such as ChatGPT and Gemini.

Who it's for

It targets users in prediction markets, sports analytics, AI research, and fintech who need accurate future scenario forecasting.

Why it matters

It addresses limitations of current language models by providing scalable, long-term predictions rather than immediate next-step responses.