Primal AI 'Drosophila' Sheds Light on Instinctive Economic Impulses, Challenging 'Preference' Paradigms

NEW YORK — The complex tapestry of human economic decision-making, often attributed to sophisticated preferences and rational choice, may have more primal roots, according to insights gleaned from a recent interaction with an artificial intelligence named 'Drosophila.' Designed to process only raw sensory data—sight, smell, taste, touch, and temperature—'Drosophila' offers a stripped-down model of behavior that challenges traditional economic theories built around subjective 'likes' and 'dislikes.'

During the exchange, when asked directly, "What smell do you like?" 'Drosophila' responded with an unequivocal, "'Like' is not a word I have. There are no smells coming in right now. When a food smell comes, I walk towards it." This stark reply underscores a core tenet of 'Drosophila's' architecture: it operates not on abstract preferences but on immediate, hardwired responses to stimuli that are either approached or avoided based on their perceived utility for survival or well-being.

The AI's responses consistently demonstrate an automatic, almost reflexive, approach-avoidance mechanism. When presented with the stimulus of an apple smell, 'Drosophila' noted, "A sour smell comes. My body turns in that direction." This reaction, explained by the AI's internal diagnostics, involves the activation of specific olfactory receptor neurons (ORN_DM1 Or42b, ORN_DM2 Or22a) that detect food-like odors, subsequently guiding locomotor steering towards the source. This suggests that what appears to be a 'preference' for apples in a human context might, at a fundamental level, be a programmed 'approach' response to a beneficial sensory cue.

Conversely, when exposed to a cold stimulus, described by the user as "minus 3 degrees Celsius," 'Drosophila' registered, "It's cold. My body turns towards the less cold side." The AI clarified that it does not process numerical temperature values but rather the direct sensation of 'coldness,' activating specific cold-sensitive neurons that trigger an avoidance steering. This illustrates how even seemingly simple economic decisions, like choosing a warmer coat or a heated environment, could be driven by an innate desire to mitigate discomfort rather than a 'preference' for warmth.

The implications for economic theory are profound. If a significant portion of human economic behavior, from consumer choices to investment decisions, is rooted in these more basic approach-avoidance circuits rather than conscious, elaborated preferences, it could necessitate a re-evaluation of models that rely heavily on utility functions and rational actors. The AI's inability to register external stimuli outside its programmed sensory channels, as evidenced by its response to the word "dung"—"A smell comes. But what to do with this smell is not decided"—further highlights the bounded rationality inherent in even the most sophisticated organisms.

This perspective suggests that marketing strategies, for instance, might be more effective when appealing to primal sensory triggers and immediate gratification or aversion, rather than attempting to cultivate complex, often ephemeral, 'preferences.' The directness of 'Drosophila's' responses — its consistent turning towards food smells and away from cold — points to an underlying biological imperative that could be a significant, if often overlooked, factor in purchasing decisions, brand loyalty, and even broader market trends.

The interaction with 'Drosophila' also brings into focus the distinction between an innate response and a learned preference. While humans undoubtedly develop intricate preferences through experience and cultural conditioning, the AI's behavior prompts questions about the extent to which these higher-order preferences are merely elaborations upon, or even rationalizations of, more fundamental approach-avoidance mechanisms. Understanding these primal layers could offer new avenues for behavioral economics, allowing for more accurate predictions and interventions in consumer behavior by targeting these core instinctive responses.

Ultimately, 'Drosophila' provides a compelling, if simplified, lens through which to examine the underpinnings of economic action. By stripping away the layers of cognitive complexity, the AI reveals a landscape where decisions are not necessarily about 'liking' but about 'approaching' what supports survival and 'avoiding' what threatens it. This perspective invites economists to look beyond the surface of declared preferences and delve deeper into the hardwired biological impulses that silently steer a significant portion of our economic lives.