Load a still, zoom into any region, and compare a plain upscale against fractal detail synthesized from the image's own multi-scale texture. Honest: it adds plausible intricacy, it doesn't recover lost data.
Open the enhancer →The same operation on a thought: a seed idea elaborates self-similarly into a multi-scale tree. Watch grounded structure tip into hallucination as you push the vitality dial — the agent's failure mode, made visible.
Open the sandbox →One thing fills the screen; click it and its parts bloom out; click a part and it collapses into the new single thing. Drill as deep as the data goes — then it honestly stops. Explore the built-in z=x·y map or paste your own JSON.
Open the navigator →A model fine-tuned (via Tinker) to collapse complexity into a single point and explain its reasoning geometrically as SVG/HTML. Its live outputs and a real-time steering UI will land here as the training repo produces them.
Coming soonz = x · y — identity (x) multiplied by behavior (y) yields state (z). It's an organizing principle here, not a performance claim: it shapes how things are structured and explained, and it gives no runtime speedup. Detail that's added is labeled synthesis; detail that's revealed is real. Where the data ends, the drill-down ends.