How to Move Up When the Only Way Is Down: Lessons from Artificial Intelligence for Overcoming Your Local Maximum
Taub, Judah
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商品描述
Break new ground in problem-solving and decision-making by learning from AI
A well-paid executive feels trapped in her very respected but unsatisfying job. A startup founder has paying customers, but knows that unless he 'fires' them and pivots the business, his startup won't make it. A senior government planner is tasked with undoing the nation's reliance on outdated infrastructure.
These are all examples of individuals stuck in a Local Maximum; we've reached a peak, but not the one that fulfills the highest potential. In order to move up in our pursuits, we must first move back down - a realization which can lead to frustration, decision-making paralysis and lost opportunity.
In How to Move Up When the Only Way Is Down: Lessons from Artificial Intelligence for Overcoming Your Local Maximum, Judah Taub draws from his perspective guiding early stage AI startups, his years serving in military intelligence, and various experiences leading innovation throughout his career. With his off-the-beaten path perspective, Judah shares insights into how humans can achieve better decision-making by learning how AI overcomes local maximums.
What tech engineers already know is that with the rise of AI, we've developed new ways of addressing these limitations. These techniques, employed to save billions of dollars for global giants like Amazon and Google, are equally applicable to each of us.
To show how, Judah shares a variety of real world examples, involving Olympic high jumpers, the transition of Ethiopian immigrants from gas station attendants to high tech engineers, the evolution of playing cards into Nintendo, the development of ChatGPT, the link between wildfires and hedge fund managers - and much more.
Explore:
- How to anticipate and identify Local Maximums
- How to overcome psychological Local Maximum blocks and biases
- How to build skills and apply strategies to succeed in complex decision-making
- How Local Maximum thinking can help overcome major global challenges
The book is equipped to benefit anyone facing complex decisions, or obstacles to their personal or professional goals. How to Move Up When the Only Way is Down is designed to transform readers' decision-making by recognizing Local Maximums and skill building based on lessons from AI.
商品描述(中文翻譯)
在問題解決和決策制定上開創新局，從人工智慧中學習
一位高薪的高管感到被困在她非常受人尊敬但不滿意的工作中。一位創業公司的創始人擁有付費客戶，但知道除非他「解雇」這些客戶並轉型業務，否則他的創業公司將無法生存。一位高級政府規劃者的任務是解除國家對過時基礎設施的依賴。
這些都是陷入局部極大值的個體的例子；我們已經達到了一個高峰，但並不是能夠實現最高潛力的那一個。為了在追求中向上移動，我們必須先向下退一步——這一認識可能會導致挫折、決策癱瘓和機會的喪失。
在當唯一的出路是向下時如何向上移動：從人工智慧中學習克服局部極大值的課程一書中，Judah Taub根據他在早期人工智慧創業公司的指導經驗、在軍事情報部門的多年服務以及他在職業生涯中推動創新的各種經歷，分享了他的觀點。Judah以其不走尋常路的視角，提供了人類如何通過學習人工智慧克服局部極大值來實現更好決策的見解。
科技工程師們已經知道，隨著人工智慧的興起，我們已經開發出新的方法來應對這些限制。這些技術被用來為亞馬遜和谷歌等全球巨頭節省數十億美元，同樣適用於我們每一個人。
為了展示如何做到這一點，Judah分享了各種現實世界的例子，包括奧林匹克跳高運動員、埃塞俄比亞移民從加油站工作人員轉型為高科技工程師的過程、撲克牌演變為任天堂的歷程、ChatGPT的發展、野火與對沖基金經理之間的聯繫——以及更多。
探索：
- 如何預測和識別局部極大值
- 如何克服心理上的局部極大值障礙和偏見
- 如何建立技能並應用策略以在複雜的決策中取得成功
- 局部極大值思維如何幫助克服重大的全球挑戰
這本書旨在幫助任何面對複雜決策或個人或職業目標障礙的人。《當唯一的出路是向下時如何向上移動》旨在通過識別局部極大值和基於人工智慧的課程進行技能建設，來改變讀者的決策方式。
