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In 1989, Richard Saul Wurman published his classic book Information Anxiety, describing the widening gap between “what we truly understand" and “what we think we should understand." At the time, he warned of the overwhelming effects of the information explosion. Fast forward to today, and artificial intelligence (AI) has drastically changed the nature of this problem. While information overload remains unavoidable, it has become less of a concern. Instead, a new anxiety has emerged—fear of being replaced by AI.

With vast amounts of expert-level knowledge readily available at our fingertips, the accessibility of information has reshaped our perception of expertise. We no longer worry about drowning in information but rather about whether AI will render human knowledge redundant. This shift in anxiety has even given rise to apocalyptic narratives about AI surpassing human intelligence.

Humans have long absorbed information over time, often struggling to digest its sheer volume. AI, however, does not suffer from cognitive overload; its limitations stem from computational constraints, memory scalability, and processing speed. The real challenge for AI is the insufficiency of raw data, as its advancement and evolution rely on extensive training datasets. The closer its generated data aligns with human needs, the more seamlessly it integrates into our world.

Website vision: Framework for Understanding the World

To navigate this evolving landscape, I believe in constructing a cognitive framework for understanding the world—a paradigm that helps organize information into a coherent structure. This concept aligns with Thomas Kuhn’s The Structure of Scientific Revolutions, where he introduces the idea of paradigm shifts as nonlinear and disruptive changes in scientific thought. Kuhn defines a paradigm as the collective worldview accepted by a scientific community. Similarly, my personal worldview is structured through a cognitive framework that helps me process information systematically rather than chaotically.

While I do not subscribe to strict determinism, I firmly believe that having a structured framework increases our ability to comprehend and manage the world. However, such a framework should not be mistaken for a rigid set of rules or a formalized theory—it is a flexible, evolving perspective that shapes how I interpret knowledge.

Then quote the philosopher Bergson’s view on the meaning of life: not in fixed goals or static order, but in the continuous creation and mutation driven by the “force of life", emphasizing that the order of nature is dynamic, emerging, rather than mechanical or predetermined, and full of unpredictable creativity. Intelligence is a practical tool. It should not be limited by time and space to have a deep understanding of the essence of life and the natural order. Instinct and intuition may provide a more direct understanding, embrace change and creation, and explore cognitive ways beyond pure reason to understand the world and travel leisurely in it.

關於我

1989年，Richard Saul Wurman出版了他的經典著作《資訊焦慮》，描述了「我們真正理解的」和「我們認為我們應該理解的」之間的差距越來越大。 當時，他警告說資訊爆炸的壓倒性影響。 快進到今天，人工智慧（AI）極大地改變了這個問題的性質。 雖然資訊過載仍然是不可避免的，但它變得不那麼令人擔憂了。 相反，出現了一種新的焦慮——害怕被人工智慧取代。 大量的專家級知識觸手可及，資訊的可訪問性重塑了我們對專業知識的看法。 我們不再擔心淹沒在資訊中，而是擔心人工智慧是否會使人類知識變得多餘。 這種焦慮的轉變甚至引發了關於人工智慧超越人類智力的世界末日敘事。 隨著時間的推移，人類長期吸收資訊，經常努力消化其大量資訊。 然而，人工智慧並沒有受到認知過載的影響；它的侷限性源於計算約束、記憶體可擴充套件性和處理速度。 人工智慧的真正挑戰是原始資料的不足，因為它的進步和演變依賴於廣泛的訓練資料集。 它生成的資料越接近人類需求，它就越無縫地融入我們的世界。

網站願景：瞭解世界的框架

為了駕馭這個不斷發展的未來觀，我相信要構建一個理解世界的認知框架—一個有助於將資訊組織成連貫結構的正規化。 這個概念與托馬斯·庫恩的《科學革命的結構》一致，他在《科學革命的結構》中介紹了正規化轉變的想法，即科學思想的非線性和顛覆性變化。 庫恩將正規化定義為科學界接受的集體世界觀。 同樣，我的個人世界觀是透過一個認知框架構建的，該框架幫助我系統地處理資訊，而不是混亂地處理資訊。 雖然我不贊同嚴格的決定論，但我堅信，有一個結構化的框架可以提高我們理解和管理世界的能力。 然而，這樣的框架不應該被誤認為是一套僵化的規則或形式化的理論——它是一個靈活、不斷發展的視角，它塑造了我解釋知識的方式。

再引用哲學家柏格森關於生命的意義觀點：不在於固定的目標或靜態的秩序，而在於「生命衝力」推動下的持續創造和變異，強調大自然的秩序是動態的、湧現的，而非機械或預設的，充滿了不可預測的創造性。智能是作為一種實用的工具，不要被時間空間化限制了對生命本質和自然秩序的深刻理解，而本能和直覺可能提供更直接的體悟，去擁抱變化和創造，並探索超越純粹理智的認知方式了解世界和悠遊於其中。