Reaction-diffusion · llama-3.3-70b-instruct
Run a Gray-Scott reaction-diffusion simulation on a canvas that grows organic Turing patterns in real time, with the mouse seeding new growth.
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Run a Gray-Scott reaction-diffusion simulation on a canvas that grows organic Turing patterns in real time, with the mouse seeding new growth.
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The code creates a Gray-Scott reaction-diffusion simulation on a canvas that grows organic Turing patterns in real time, with the mouse seeding new growth. The simulation is implemented using JavaScript and HTML5 canvas. The `step` function updates the simulation state and redraws the canvas at each time step. The mouse event listener seeds new growth by setting the initial values of the simulation variables `u` and `v` to 0.5 when the mouse is moved over the canvas.
TAKE IT TO CODE
A single self-contained HTML file — copy it and open in any browser, or reuse the prompt with your own pi-agent run.
RUN
EVALUATION
Just flat red/green polygon shapes with hard edges, no organic Turing patterns, resembling a broken shader not reaction-diffusion.
Vision grade · anthropic/claude-sonnet-5
MEASUREMENTS
Raw readings from the capture, not a verdict — the grade above is the only judgement. Percentages are how much of the screen changed; the measure under-reports sparse motion on a dark background.