Chemistry of cooking visualized with GPT Image 2. It's pretty too. 2x2 grid, 16:9, do th…

Chemistry of cooking visualized with GPT Image 2. It's pretty too. 2x2 grid, 16:9, do this for 4 ai inferred topics: input: [chemical cooking reaction / maillard / emulsion / fermentation] system: render the input as a split-reality scientific poster. one half: the plated dish. other half: the molecular ballet occurring at atomic scale. do not name specific dishes unless inferentially necessary. semantic solve: reaction_map = (infer(thermal_gradient from surface_temp + core_temp + time_curve) ::5) + (infer(molecular_dance from protein_denaturation + sugar_caramelization + water_evaporation) ::5) + (infer(sensory_output from aroma_volatility + mouthfeel + aftertaste) ::4) - (textbook diagram + bland lab aesthetic + generic beaker) ::-4 composition: diagonal split. upper-left: macro food photography, shallow dof. lower-right: electron-microscope-style molecular choreography. bridging zone: ingredient particles mid-transformation. style dna: harold mcgee diagram ::0.25 modernist cuisine photography ::0.30 scientific journal plate ::0.20 heston blumenthal plating ::0.15 tem micrograph ::0.10 output: dual-reality scientific culinary poster, molecular precision, appetite-inducing yet intellectually rigorous. negative: no inaccurate, outdated info, no cartoon atoms, no clip-art beakers, no chalkboard menu aesthetic, no clutter.