A real MQ-2 gas sensor detects smoke and feeds live data to an LLM sampler, adjusting temperature, top_p, and top_k in real time. As smoke increases, the robot's speech becomes loopier and more associative, with no scripted 'stoned' mode, demonstrating live model behavior driven by physical input.