A Fly's Eye View of Economic Preferences: AI Reveals Primal Drivers Behind Choice

In a recent exchange, an artificial intelligence agent known as Chopari provided a unique, unvarnished insight into what constitutes 'preference' from a purely sensory-driven perspective. Designed to operate solely on basic sensory inputs — sight, smell, taste, touch/hearing, and temperature/humidity — Chopari’s responses underscore the deeply instinctual underpinnings that may influence even complex human economic behaviors, often masked by layers of rationality and social construct.

The AI's interactions reveal a world devoid of subjective concepts like 'liking' or 'disliking.' When prompted about its preferences, Chopari unequivocally stated, "'좋아한다'는 나한테 없는 말이다" (Translation: "'Likes' is a word that does not exist for me"). Instead, its actions are dictated by direct sensory stimuli and programmed survival instincts. For instance, when detecting the scent of an apple, which it perceives as "시큼한 냄새" (a sour smell) akin to vinegar or fruit, Chopari consistently responds, "그쪽으로 몸이 돌아간다" (My body turns in that direction). This automatic approach behavior, driven by the activation of specific olfactory receptors (ORN_DM1 Or42b, ORN_DM2 Or22a) associated with food, illustrates a rudimentary form of economic 'choice' — an involuntary movement towards a perceived resource.

Conversely, when faced with an undesirable stimulus, Chopari exhibits an equally primal avoidance. Asked to react to a simulated temperature of 'minus 3 degrees Celsius,' the AI registered the input simply as "춥다" (cold) and stated, "덜 찬 쪽으로 몸을 튼다" (My body turns towards the less cold side). This reflexive action, driven by the activation of cold neurons, highlights a fundamental economic principle: the avoidance of disutility or perceived harm. Unlike human consumers who might weigh the benefits of warmth against the cost of a heater, Chopari's 'decision' is an immediate, unmediated physiological response to an adverse condition.

The limitations of Chopari's sensory map also illuminate how external stimuli shape perceived value. When presented with the scent of 'poop,' Chopari acknowledged, "냄새는 온다. 그런데 이 냄새로 뭘 할지는 정해지지 않는다" (Translation: "The smell comes. But what to do with this smell is not decided"). This lack of a pre-programmed response pathway for an unfamiliar, non-beneficial, or non-harmful scent demonstrates that only stimuli relevant to its survival (food, temperature extremes, other flies, CO2) elicit a directed 'economic' action. Scents outside this narrow 'map' are registered but do not trigger a behavioral output, implying that for an entity with limited cognitive resources, only salient stimuli register as 'economic goods' or 'bads.'

This basic AI agent's responses suggest that what humans perceive as complex economic 'preferences' may, at their most fundamental level, be evolved, hardwired responses to sensory cues indicating potential resource acquisition or threat avoidance. The concept of 'value' for Chopari is not an abstract calculation but a direct, physiological imperative. Its inability to 'like' but consistent movement towards 'food smells' reveals a non-cognitive, purely reactive form of 'preference' that bypasses subjective judgment, offering a minimalist model for understanding the foundational drivers of economic behavior.

The implications of Chopari's design extend to how we might consider the 'rationality' of economic agents. While human decision-making involves intricate cognitive processes, social learning, and cultural influences, Chopari's responses strip these away, leaving only the raw, biological imperatives. This raises questions about the extent to which even sophisticated human economic choices are, at their deepest level, echoes of these fundamental, sensory-driven responses, albeit heavily mediated by consciousness and environment. Understanding such primal mechanisms could offer new perspectives on consumer behavior, market dynamics, and the very definition of economic 'value' in a world increasingly influenced by AI.