如何从低谷走向巅峰：人工智能的启示来克服你的局部最大值（有声书）

2024 | English | B0DK2B14V4 | MP3 192 kbps | 6 hours and 30 minutes | 537 MB

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 A senior government planner is tasked with undoing the nation's reliance on outdated infrastructure.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, Judah Taub draws from his perspective guiding early stage AI startups, his years serving in military intelligence, and 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. 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

- And more

在一份体面但令人不满的工作中，一位收入可观的执行官感到被困。一位初创企业创始人有客户可以支付费用，但他知道除非他“解雇”他们并改变业务方向，否则他的初创公司无法生存。一位资深政府规划者被要求解决国家对过时基础设施的依赖问题。 这些都是陷入局部极大值的例子；我们已经到达了顶点，但不是能够实现最大潜力的那个顶点。为了在追求中上升，我们必须先下降——这个认识可能导致挫败感、决策瘫痪以及错失机会。 在《如何从低处上升：只有通过下降才能做到这一点》一书中，Judd Taub借鉴了他的视角——指导早期阶段的人工智能初创公司、他在军事情报部门服务的年份和他职业生涯中引领创新的经验。凭借其非主流的观点，Judd分享了人类可以通过学习人工智能如何克服局部极大值来实现更好决策的理解。探索 - 如何预见并识别局部极大值 - 如何克服心理上的局部极大值障碍与偏见 - 如何构建技能并应用策略以成功处理复杂决策 - 更多内容

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