2026年9月25日 星期五

The AI Citation Ring: Why Elite Professors Are Going Full Robot to Hack the Academic Game

 

The AI Citation Ring: Why Elite Professors Are Going Full Robot to Hack the Academic Game

There is a touching, profoundly naive belief that tenured professors at elite institutions are driven by a pure, unyielding passion for truth, laboring for decades in quiet contemplation to expand human knowledge. We love to imagine ivory-tower scholars carefully carving out wisdom, publishing only when a profound revelation strikes. Then, reality pulls back the academic curtain to reveal a much funnier and darker truth: when the metrics of success become a game, even a distinguished professor at the University of Chicago will happily turn over the keyboard to an artificial intelligence and spam the world with two hundred papers and fourteen books in a single year.

Consider the recent baffling explosion of productivity from Booth School of Business professor Nick Polson. Having already achieved the cozy sanctuary of full professorship—free from the desperate scramble for tenure—Polson suddenly unleashed a torrent of roughly two hundred AI-generated papers and fourteen books onto preprint platforms like SSRN in 2026, instantly bloating his Google Scholar metrics. Compare this to his historical output of a modest eight papers in 2024 and thirteen in 2025, and you witness a man who looked at the academic industrial complex, realized the whole thing is an automated joke, and decided to break the high score table by letting algorithms talk to algorithms.

Human history is fundamentally a museum of institutional insiders gaming the rules the moment the reward structure shifts from quality to quantity. Our species is biologically wired for relentless metric hacking; deep in our evolutionary instincts, ancestral tribesmen always figured out how to fake the harvest tallies if the chieftain rewarded total volume over nutritional value. We are creatures of profound self-deception, wrapping our cynical manipulation of digital scoreboards in the solemn robes of academic rigor while our machine-generated papers quietly cite each other in a closed loop of vanity.

The supreme irony of modern academia is that the most prestigious institutions have become automated factories of intellectual inflation. Civilization isn't preserved by preprint spam or bloated citation counts; it survives despite the desperate, comical ways elites pad their resumes. The next time you gaze in awe at a professor's towering publication list, remember the Chicago business professor who let AI write a library in a year: in the grand theater of modern scholarship, when quantity becomes the only god, the smartest move is to let the robot take the exam.

Artificial Intelligence, Academia, Business, Economics, Higher Education, History, Human Nature, Evolution, Cynicism, Technology, Ethics, Society

教授的AI洗榜流水線:當象牙塔變成灌水工廠

人類社會總有一種無可救藥的天真,以為頂尖名校裏的終身正教授個個都是追求真理的聖人,在安靜的書房裏用一生的歲月細細琢磨學問。我們總愛幻想那些嚴謹的學術著作,是靈魂與智慧歷經多年淬煉的結晶。直到現實冷酷地掀開學術界的大數據布幕,露出那讓人笑不出來的底牌:當評鑑指標變成一場可以破關的電玩遊戲時,連芝加哥大學商學院的正教授也會乾脆把鍵盤交給人工智慧,一口氣用AI瘋狂生產兩百篇論文加上十四本書,向全世界完美示範什麼叫系統性灌水。

芝加哥大學Booth商學院教授尼克·波爾森(Nick Polson)的奇特舉動最近成了學術圈的奇觀。這位早已拿到終身職、根本沒有升等壓力的正教授,在2026年突然開挂,一口氣把兩百篇多數為統計學方法的AI生成文章與十多本書全數丟上預印本平台SSRN,順便灌爆了自己的Google Scholar紀錄。對比他過去兩年一年發十多篇的「正常」產量,這種暴走式的產出簡直像是一個已經看透遊戲規則的玩家,決定用機器打敗機器,順便靠著互相引用來刷高虛榮指標。

人類歷史本質上就是一部「聰明的特權階級發現評分漏洞時,立刻毫無底線地把制度玩壞」的黑色喜劇。我們的基因裏殘存着對指標與數據的病態崇拜;深植在演化深處的本能告訴我們,只要能用最低成本取得最高的數字回報,管他內容是真是假,先把戰利品堆滿倉庫再說。我們這群擅長自我安慰的動物,總愛把這種赤裸裸的數據造假,包裝成「走在時代前端的高效產出」。

我們這個時代最深刻的諷刺,莫過於象牙塔裏的知識生產線,最終竟然淪落成了一場由AI互相比讚、互相引用的荒誕鬧劇。文明往往不是毀於無知,而是死於這種精於算計的平庸與虛偽。下次當你又在讚嘆某個學術大老的龐大著作清單時,想想那位在芝加哥大學用機器人大筆揮灑的正教授:在象牙塔的大戲裏,當知識變成可以批量生產的罐頭時,最不需要動腦的,就是那些坐在神壇上的大師。

人工智慧, 學術界, 商業, 經濟學, 高等教育, 歷史, 人性, 進化, 諷刺, 科技, 倫理, 社會