Biju Dominic, an author and executive at Fractal Analytics, posits that the proliferation of Generative AI is precipitating a decline in human curiosity rather than a loss of innate cognitive ability.

Fractal Analytics 的作者兼高階主管 Biju Dominic 認為，生成式 AI 的普及導致的是人類好奇心的下降，而非天生認知能力的喪失。

The phenomenon is articulated through the 'Librarian's Paradox,' wherein the unrestricted accessibility of information correlates with a decrease in the motivation to acquire it. Historically, the acquisition of knowledge necessitated a degree of effort—or 'friction'—which served as a catalyst for intellectual engagement. The advent of Generative AI has effectively neutralized this friction, reducing the economic and temporal cost of obtaining answers to near zero. This state, termed 'cognitive satiety,' suggests that when information is omnipresent and effortless to retrieve, the drive to possess such knowledge diminishes.

此現象透過「圖書管理員悖論」來闡述，即資訊的獲取越不受限制，獲取資訊的動力反而越低。在歷史上，獲取知識需要一定程度的努力——或稱作「摩擦力」——而這正是激發理智參與的催化劑。生成式 AI 的出現有效地抵消了這種摩擦力，將獲取答案的經濟與時間成本降低至趨近於零。這種狀態被稱為「認知飽足感」，意指當資訊無處不在且獲取毫不費力時，追求掌握該知識的驅動力便會減弱。

Dominic asserts that this trend is particularly evident in younger cohorts, who may exhibit diminished proficiency in information retrieval due to a reliance on the perceived ubiquity of automated answers. He distinguishes between the capacity for cognition and the drive for inquiry, arguing that the latter is currently atrophying. To counteract this, Dominic references Stuart Firestein's 'culture of ignorance,' suggesting that the intentional cultivation of a sense of intellectual deficiency is necessary to stimulate deeper inquiry.

Dominic 主張這一趨勢在年輕群體中尤為明顯，由於依賴於自動化答案的普及，他們在資訊檢索方面的能力可能會有所下降。他區分了「認知能力」與「探究驅動力」，並認為後者目前正在萎縮。為了 counteract 這一現象，Dominic 引用了 Stuart Firestein 的「無知文化」，建議有意識地培養一種理智上的匱乏感，以激發更深層次的探究。

Furthermore, the report highlights a structural divergence between machine processing and human creativity. Generative AI operates as a probabilistic mechanism, predicting outcomes based on historical data distributions. Conversely, human innovation is characterized by the exploration of improbable extremes. Drawing a parallel to David Hilbert's 1900 presentation of 23 unresolved mathematical problems, Dominic argues that the primary value of human intellect lies not in the provision of answers, but in the formulation of critical questions—a function that remains beyond the current capabilities of artificial intelligence.

此外，該報告強調了機器處理與人類創造力之間的結構性分歧。生成式 AI 作為一種概率機制，根據歷史數據分佈來預測結果。相反，人類創新的特徵在於對低概率極端情況的探索。Dominic 以 David Hilbert 於 1900 年提出的 23 個未解決數學問題為類比，認為人類理智的主要價值不在於提供答案，而是在於提出關鍵問題——而這項功能目前仍超出人工智慧的能力範圍。

The current trajectory suggests a risk where humanity may cease the pursuit of knowledge, not due to a lack of intelligence, but due to a systemic erosion of curiosity.

目前的趨勢顯示出一種風險，即人類可能會停止追求知識，這並非因為缺乏智能，而是因為好奇心遭到了系統性的侵蝕。