AI can make art and text now. Humans do not make everything. Now, humans choose the best work.

AI 現在可以創作藝術和文字。不再是由人類完成所有工作。現在，人類負責挑選出最好的作品。

AI helps people write. But AI makes many things look the same. It uses ideas from Western countries. It does not know other cultures well.

AI 幫助人們寫作。但 AI 創作出的許多東西看起來都大同小異。它使用西方國家的想法，並不了解其他文化。

There is too much AI content online. It is hard to find good work. Computers choose what we see. But computers only care about numbers, not quality.

網路上有太多 AI 內容，很難找到優秀的作品。電腦決定我們看到什麼，但電腦只在乎數據，不在乎品質。

In the past, cameras did not stop painting. But AI is different. AI does the work for us. Now, humans must use their taste to pick the best art.

過去相機的出現並沒有停止繪畫。但 AI 不同，AI 直接替我們完成了工作。現在，人類必須運用自己的品味來挑選最好的藝術。

Humans must choose and filter AI work. This keeps art interesting.

人類必須選擇並篩選 AI 的作品，如此才能保持藝術的趣味性。

The rapid growth of generative artificial intelligence is changing the main role of human creators. Instead of focusing on producing content, creators are now focusing more on making editorial decisions.

生成式人工智能的快速成長，正在改變創作者的主要角色。創作者現在不再專注於生產內容，而是更加注重如何做出編輯決策。

The use of AI in creative fields has led to a trend of 'competent adequacy,' where the results are technically correct but lack original character. Research from University College London and the University of Exeter shows that while AI helps lower-skilled writers improve, it also reduces the overall diversity of ideas. Furthermore, because most AI models are trained on data from Western countries, they often ignore cultural details from other parts of the world, leading to a loss of cultural variety.

AI 在創意領域的應用導致了一種「合格但平庸」的趨勢，即結果雖然技術上正確，但缺乏原創性格。倫敦大學學院與埃克塞特大學的研究顯示，雖然 AI 能幫助技巧較低的作者進步，但同時也減少了想法的整體多樣性。此外，由於大多數 AI 模型是使用西方國家的數據訓練，它們經常忽略世界其他地區的文化細節，導致文化多樣性流失。

This problem is made worse by recommendation algorithms. The author compares today's digital world to a library with too many books, where finding truly relevant content is difficult. Although AI can help generate ideas quickly, the huge amount of content it produces means humans must be more selective about what to keep. There is a clear difference between human curation and algorithms; while humans look for quality, algorithms often prioritize numbers and clicks, which can lead to a rise in low-quality content.

推薦演算法使這個問題更加嚴重。作者將如今的數位世界比作一座書籍過多的圖書館，想要找到真正相關的內容非常困難。雖然 AI 能幫助快速產生想法，但由於其產出的內容量巨大，意味著人類必須更加挑剔地決定保留哪些內容。人類策劃與演算法之間有明顯區別；人類追求品質，而演算法通常優先考慮數據與點擊率，這可能導致低品質內容增加。

In the past, new technologies like photography did not destroy painting; instead, they freed painters from having to copy reality perfectly. However, AI is different because it can automate the entire process of creating art. Consequently, the value of human creativity is moving 'upstream.' The ability to judge quality, have good taste, and decide what is unnecessary is now the most important human skill. This is seen in the market, where people still prefer handmade luxury goods over digital versions and value art less if they discover it was made by AI.

過去，如攝影等新技術並沒有毀滅繪畫；相反，它們將畫家從必須完美複製現實的壓力中解放出來。然而，AI 則不同，因為它可以將創作藝術的整個過程自動化。因此，人類創意的價值正向「上游」轉移。判斷品質、擁有良好品味以及決定哪些是不必要的能力，現在成為最重要的人類技能。這在市場上有所體現，人們依然偏好手工奢侈品而非數位版本，且若發現藝術品是由 AI 創作，其價值評價會降低。

Human creativity is evolving into a role of curation and judgment to prevent the repetitive and similar nature of AI-generated content.

人類的創意正進化為策劃與判斷的角色，以防止 AI 生成內容出現重複與雷同的情況。

The proliferation of generative artificial intelligence is shifting the primary role of human creators from the act of production to the exercise of editorial judgment.

生成式人工智慧的普及，正使人類創作者的核心角色從「生產」轉向「編輯判斷」。

The integration of artificial intelligence into creative domains has facilitated a phenomenon characterized by 'competent adequacy,' wherein output is technically proficient yet culturally homogenous. Empirical data from University College London and the University of Exeter indicate that while AI assistance may enhance the performance of lower-skilled writers, it simultaneously diminishes collective conceptual diversity. Furthermore, research suggests a systemic bias toward Westernized norms, as models are predominantly trained on datasets from the global North, thereby eroding cultural specificity and nuance.

人工智慧融入創意領域，促成了一種名為「稱職而平庸」的現象，即輸出內容在技術上熟練，但在文化上卻十分同質。倫敦大學學院與埃克塞特大學的實證數據顯示，雖然 AI 的輔助能提升低技能作者的表現，但同時也減少了集體概念的多樣性。此外，研究指出 AI 存在傾向西方化規範的系統性偏差，因為模型主要基於全球北方的數據集進行訓練，從而侵蝕了文化的特殊性與細膩度。

This systemic homogenization is compounded by the mechanisms of algorithmic recommendation. The author posits a parallel between the current digital landscape and the 'Library of Babel,' where an abundance of generated content renders the identification of relevance increasingly difficult. While AI can accelerate the ideation phase, the resulting 'tsunamis of abundance' necessitate a rigorous principle of refusal. The distinction between human-led curation and engagement-optimized algorithms is critical; the latter prioritizes quantitative metrics over qualitative merit, leading to the proliferation of suboptimal content.

這種系統性的同質化因演算法推薦機制而加劇。作者將目前的數位環境比作「巴別圖書館」，在生成內容過於豐富的情況下，識別相關性的難度日益增加。雖然 AI 能加速構思階段，但隨之而來的「豐沛海嘯」使得採取嚴格的「拒絕原則」變得必要。人類主導的策展與追求互動率的演算法之間存在關鍵差異；後者優先考慮定量指標而非質性價值，導致次優內容的氾濫。

Historically, technological disruptions such as photography did not eliminate painting but rather liberated it from the requirement of mimetic accuracy. However, the current disruption is qualitatively different, as AI absorbs entire art forms to automate execution. Consequently, the value proposition of human creativity is migrating 'upstream.' The capacity for discernment, taste, and the strategic elimination of the unnecessary now constitute the primary human contribution. This shift is evidenced by market preferences, such as the continued prestige of hand-assembled luxury goods over functionally superior digital alternatives, and survey data indicating a diminished valuation of art upon the discovery of AI provenance.

從歷史上看，攝影等技術衝擊並未消除繪畫，而是將繪畫從對擬像準確性的要求中解放出來。然而，目前的衝擊在性質上截然不同，因為 AI 吸收了整個藝術形式來自動化執行。因此，人類創意的價值主張正向「上游」遷移。辨別能力、品味以及對不必要元素的策略性剔除，如今構成了人類的主要貢獻。市場偏好證明了這一點，例如手工奢侈品持續享有比功能更優越的數位替代品更高的聲望，且調查數據顯示，在發現 AI 來源後，人們對藝術品的估值會降低。

Human agency is evolving into a function of curation and discretion to counteract the homogenizing effects of AI-generated abundance.

人類的主體性正演變為一種策展與判斷的功能，以對抗 AI 生成內容過多所帶來的同質化影響。