← range arcadeTHE CURIOSITY CLUB · WORLD 044

THE CURIOSITY CLUB · PLAY / WATCH / GUIDE

Square Patchwork
Every patch belongs somewhere.

Help Patch fill a 6 × 6 quilt with square tiles. Pick a top-left square and a 1 × 1, 2 × 2, or 3 × 3 patch. Keep enough room for the pieces still in the basket; undo lets you try again.

WORLD 044n²A NEW LITTLE DISCOVERY
Square Patchwork

MEET PATCH

Every patch belongs somewhere.

Help Patch fill a 6 × 6 quilt with square tiles. Pick a top-left square and a 1 × 1, 2 × 2, or 3 × 3 patch. Keep enough room for the pieces still in the basket; undo lets you try again.

Your next move

Choose any available move. Tapping a place on the board narrows the list.

A DAY TO COME BACK TO

The same name begins the same challenge. Your decisions tell the rest.

THE DECISION DAYBOOK

    A peek inside that little brain PYTOOLZ · WSRF ↗

    This is the fitted model’s actual view of the current decision. It stays optional, and you can pause to explore it.

    What it favors

    These numbers estimate the training objective for an action. They are not probabilities. The bars show relative preference among currently available actions.

    Your nudge, compared

    Early and current models

    What this move looks like to the model
    Follow one tree’s actual branches

      This is one tree’s path. The final estimate averages every tree in the active zone.

      Imagine this move

      Training happens in Python with pytoolz/WSRF. Your browser runs the exported forest; it does not retrain while you play. World rules and verified puzzle deductions remain explicit.

      Training recipe & measured results · Full evaluation record · Python training source

      Revisit a decision. Try another possibility.

      Scrub through the board before each move. Continuing from a past decision replaces the later moves in your current game.