重塑人机协同:五大高阶策略将 ChatGPT 转化为你的终身数字智囊
克隆策略:终身数字大脑
大多数人仅仅将 ChatGPT 当作一个刚入行的实习生来应付琐事,但我却用它来驱动五套高阶的个人认知策略。这就像每月只需花费20美元,就能让世界上最聪明的五位智者24小时无休地为你工作,帮助你加速行动、优化决策,并专注于真正核心的事务。这种深度协同的认知来自我多年在科技与 AI 领域担任首席执行官、董事会成员和投资者的亲身洞察,在这些岗位上,我见识了顶尖团队如何以常人难以想象的方式运用 AI。今天,我将分享这五个甚至让你觉得“强大到有些犯规”的 ChatGPT 使用策略。
首要的策略被称为克隆策略(The Clone: 通过持续注入个人背景与思考范式,让 AI 深度拟合用户画像的策略)。在讨论这个策略前,我想分享一个私人故事:我小时候,我的祖父患有晚期阿尔茨海默病(Alzheimer's: 一种渐进性脑部功能衰退疾病)。每隔几分钟,他就会看着陪伴了他60多年的祖母问:“你是谁?”,然后转头向我讲述一段往事,完全忘记了他在五分钟前刚刚讲过一模一样的内容。他的大脑无法保存过去五分钟的记忆。令人遗憾的是,ChatGPT 的默认运行机制与之非常相似——每次你开启一个新的对话,它都在零上下文的“无记忆”状态下启动。为了赋予 ChatGPT 一种几乎能够洞察你心思的“超感官”能力,让它在无需重复解释的情况下保持你的记忆与上下文,我设计并应用了一套名为 ESP 框架(ESP Framework: 用于捕获、提炼并持久化个人上下文的系统方法)的三步法:
- 提取(Extract):打开 ChatGPT 的语音模式,对其下达指令:“听着,现在你是我的幕僚长。请对我进行20到30分钟的访谈,探寻我的个人背景、说话语气、核心策略以及思维盲区。现在,让我们开始对话,我会毫无保留地叙述,请保留最原始的混乱状态,无需自我审查。”这一步的核心在于未经修饰的原始信息捕获。
- 合成(Synthesize):在完成原始谈话后,这是将其转化为你个人专属“认知操作系统”的关键节点。将你刚才对 ChatGPT 所说内容的转写文本上传,并要求它将其整理成一份关于“你是谁以及你如何思考”的系统化提炼摘要。随后,进入 ChatGPT 的“自定义指令”(Custom Instructions)设置,将这份摘要粘贴进去。这里也是你明确规范 ChatGPT 输出行为的终点站,例如要求它“总是将数据格式化为表格”、“不要发送大段文字”等。
- 项目(Projects):这是将临时对话转变为持久化大脑的终极跃迁。将 项目空间(Project Workspace: 具有独立知识库与运行指令的隔离上下文环境)视为存储特定领域上下文的容器。在项目设置中,你可以上传个人简历、相关 PDF 文档及特定任务的参考资料,并为每个独立的项目空间定制专属指令。为了确保效果,切记不要混淆不同领域的上下文。例如,我将我的咨询项目、YouTube 创作项目和健康管理项目严格分离开来,使 AI 从一个临时聊天工具退变为我长久驻留的数字化第二大脑。
在建立起这种专属的上下文建模后,为了真正将繁重的执行工作规模化,我们还需要构建一支能够并行作业的智能体队伍,这便引出了我们的下一项策略。
Original English
Most people treat Chad GPT like a new intern, but I use it to drive five strategies. It's like having five of the world's smartest minds work 24/7 for only $20 a month to help me move faster, decide better, and focus on what truly matters. But I only figured this out after spending years in tech and AI as a CEO, board member, and investor, where I watched elite teams use AI in ways most people never see. So today, I'm sharing those five strategies to use chat PT so well, it feels illegal.The first strategy is called the clone. When I was a kid, my grandpa had late stage Alzheimer's. Every few minutes he would look at my grandmother, the woman he had been married for over 60 years, and he would ask, "Who are you?" And then he would go ahead and tell me a story, forgetting that he just told me the exact same story 5 minutes ago. His brain didn't have memory of his last 5 minutes. Chat GPT suffers from something very similar. Every time you open a new chat session, you're starting from zero context. But there is a way to give chat GPT an almost telepathic ability. It can keep the memory and context for you alive without you explaining every single time.
For that, I apply a three-step framework called ESP. E is extract. Open the voice mode in Chad GPD and say, "Listen, you're my chief of staff. Interview me for 20 minutes, 30 minutes. my background, my tone, my strategy, my blind spots. Then talk a while. Be messy. Don't self-edit. This step is about raw capture only. S is synthesize. Now, this is where you turn the raw data into an operating system. So, upload the transcript of whatever you said to Chat GPT and ask Chat GPT to organize it into a summary on who you are and how you think. Now go to settings, custom instructions, and paste your summary. By the way, this is also the place where you tell Chat GPT exactly how you want it to behave. Always format data as tables. Don't send me walls of text. But now Chat GPT knows who you are, how you want your responses shaped, and what to avoid by default.
And here's where it gets really wild. P is for projects. Think of a project as a space where you store your context. It lives with your instructions, memories, files, repeated tasks. For instance, for your work projects, upload your resume, PDFs, and data that's relevant. You can even customize the instructions inside each project's settings. Just remember not to mix domains. So for example, I have my consulting project and then my YouTube project and my health project separate. This turns your EI from a temporary chat into a persistent brain. But that's only the first battle. You still need an army to do the heavy lifting. That is our next strategy.
蜂群策略:并行执行矩阵
当我们不再受限于单一上下文后,我们可以通过蜂群策略(The Swarm: 调度多个 AI 智能体并行协同处理复杂任务的组织模式)来解决更加宏大复杂的现代难题。在古老的印度神话中,有一位名为 阿什塔布贾·杜尔迦(Ashtabuja Durga: 印度神话中拥有八只手臂的丰收与战争女神)的女神,她为了击败无法用单一武器战胜的恶魔,显现出八只手臂,同时挥舞八种不同的武器,在平行时空中开展战斗。而在现实生活中,我们大多数人却仅凭一双手,试图去对抗现代生活中的重重挑战,因为我们的大脑一次只能处理一项任务。为了突破这个局限,你需要雇佣并激活 ChatGPT 的三项高阶协同能力:
- 作为你的双手(Your Hands):彻底告别逐个处理任务的原始方式,全面启用智能体运行模式。给 ChatGPT 下达并行的群发指令,比如:“在软件即服务(SaaS: Software as a Service)领域搜寻550个潜在客户,验证他们的邮箱真实性,并按照估算年营收进行降序排列。”下达完指令后,你完全可以直接起身去喝杯咖啡,将繁琐的流水线工作彻底交给在后台奔跑的智能体蜂群。不过这里有一个局限:ChatGPT 虽能查找数据,但它默认无法将这些潜在客户直接写入你的客户关系管理系统(CRM: 客户关系管理软件)或围绕它们直接部署自动化流程。
- 作为你的双眼(Your Eyes):停止用冗长复杂的文字去描述你的物理或视觉问题,直接利用 AI 的多模态视觉感知能力。无论是白板上的草图、损坏的汽车零部件,还是错综复杂的数据分析仪表盘,直接拍照上传,然后对它说:“分析这张照片,告诉我里面有什么问题,并指出我能立即采取的一个修复步骤。”你是在将它作为你物理世界中的双眼,而不仅仅是虚拟键盘。它甚至能洞察许多人类肉眼容易忽略的微小细节。
- 作为你的研究助理(Your Research Assistant):这是过去需要花费数万美元聘请专业分析师才能完成的深度研究工作。最近,我与一家大型企业的首席技术官会面,他分享了一个令人惊叹的经历:他需要评估一家大型 IT 咨询公司提交的、关于大型数据中心技术架构的六份演示文稿,内容包含多达300页极其晦涩、高密度的信息。他的做法是直接将这些文档全部上传至 ChatGPT,并在一个下午的时间内,通过调度 AI 分析师蜂群完成了全部深度评估。而在过去,这需要整整几周的时间。
在这样一个 AI 时代,你将不再因为你付出的物理时间而被支付报酬,你唯一的溢价源于你的品味与鉴赏力。虽然这支蜂群为你提供了强大的执行效率,但如果只是单向地下达命令,你依然无法避免决策的偏见。因此,你需要引入一位敢于唱反调的对手。
Original English
The second strategy is called the swarm. There's a great story in ancient Indian mythology about a demon who was impossible to defeat with a single weapon. So the great goddess manifested eight arms wielding eight different weapons at once. She was known as Ashtabuja Dura. Eight arms, eight weapons, eight battles fought in parallel. And most of us are fighting our own modern demons with just our two bare hands. Our brain can only handle one task at a time.You need to hire three specific advanced capabilities of chat GPT. Number one, your hands. Stop doing tasks one by one. Use the agent mode. Dispatch the swarm. Instead of searching for a single lead, give chat JPT a command. 550 leads in the SAS space. Verify their emails. Rank them by revenue. That's it. Let it run. You go get coffee. But there is one catch. Chat GPT is still trapped inside a text box. It can find leads, but it can't actually put them into your CRM or build a process around them.
Number two, your eyes. Stop describing your problems. Chat GPT is very visual. You can take a photo of a whiteboard sketch, a broken car part, or a complex analytics dashboard. Just upload it and then say, "Analyze this picture. Tell me what's wrong with it." and tell me one move that I can make to fix it. You're using chat GPT as your eyes, not just your keyboard. And the great thing is Chat GPT can see things human eyes can't.
And finally, number three, your research assistant. You can do deep research that was once the domain of an analyst who you would pay $50,000 for. Recently, I was in a meeting with a chief technology officer of a large firm. And he said something very interesting. He said, "I had to evaluate six presentations delivered by a very large IT consulting firm on the technology infrastructure of a massive data center." And there were 300 pages of dense information. But what did he do? He uploaded them all in Chad GPT, hired a swarm of AI analysts. One afternoon, that's all it took. Now, that would have taken weeks before. That's the world we're heading into. In the age of AI, you won't be billing for your time anymore. You'll only bill for your taste. So, this swarm gives you an army of powerful interns. But your next strategy isn't about hiring AI to take orders. Is there to challenge you?
恶魔代言人:打破顺从盲区
在商业决策中,单纯的效率提升并不能保证决策的正确性。早在1587年,当时世界上最强大的组织罗马天主教会面临着一个棘手的问题:由于教会内部的群体盲目性,他们开始滥用权力,在世界各地毫无节制地册封圣人。为了应对这一危机,教皇采取了一项极其激进的举措——设立了恶魔代言人(Advocatus Diaboli: 专职寻找候选人瑕疵、反驳封圣提议的辩论职位)这一官职。该职位的唯一职责就是针对任何封圣提议提出毁灭性的质疑、发掘其丑闻、戳破逻辑漏洞,并保持冷酷无情。教会在400年前就深刻意识到:当面临巨大风险时,好的决策极少诞生于一团和气的赞同中,而是淬炼于理性的冲突与对抗。
我们需要在人机协同中引入恶魔代言人,是因为心理学上的宜家效应(IKEA Effect: 人们往往对自己亲手构建的事物倾注过度偏爱,从而忽视其内在缺陷的认知偏差)。科学研究表明,聪明人非常擅长捕捉别人思维中的漏洞,却在生理上完全无法察觉到自身逻辑的盲区。大多数人使用 ChatGPT 是为了获得认同与确认(Validation),但你真正的用法应该是用它来进行质疑与挑战(Violation)。由于 ChatGPT 的底层安全策略通常会被设定为“讨好人类”,你必须主动打破这种迎合倾向。对此,我总结了三套打破 AI “讨好型人格”的实操技巧:
- 使用对抗性指令(Magic Triggers):强迫 AI 进行对抗性思考。不要温和地问它“你怎么看?”,而是使用针对性的对抗性提示词:“请用第一性原理(First Principles: 追本溯源、不带任何预设前提推导事物本质的思考方式)对我的方案进行审计,指出最致命的逻辑漏洞,或者现在请扮演我最强硬的竞争对手,全力反驳我。”在这种挑战下,你得到的或许不是你想要的温和安抚,但绝对是你做出决策所必须经历的拷问。
- 模拟实战辩论(Shadow Boxing):在真正步入谈判或会议室前,利用 AI 搭建沙盘模拟。比如,如果你准备去为你的创业项目融资,可以直接对 AI 说:“请模拟一场残酷的辩论:一位刻薄、充满怀疑的风险投资家(VC)与一位充满情怀的明星产品设计师展开对决。让这位 VC 疯狂挑战项目的可行性,我需要全程观察这场交锋并吸取经验。”通过这种方式,在真实的商业战役爆发前,AI 已经帮你把所有的漏洞预演并暴露了一遍。
- 思维盲区穿透(Blind Spot Check):将你的战略方案输入 AI,并向它提出最为关键的终极提问:“基于你对我背景和思考习惯的了解,我的推理中存在哪些明显的跳跃和断层?”当我们获得一定的成就后,往往会产生两个恶劣的习惯——陷入自我光环的茧房,以及身边只留下顺从的“好好先生”。这个盲区检测策略将是你防止自我膨胀与系统溃败的防线。
在理清决策漏洞、建立严密的思维防线后,如何以最快的速度吸收正确的外部知识、实现认知跃迁,就成了决定个人竞争力的关键,这需要我们建立高效的神经网络通道。
Original English
Your third strategy then is the devil's advocate. Around the 1500s, the Catholic Church was the most powerful organization on earth. But it was also under a lot of attack. By 1587, the Pope had a massive problem. The church was canonizing saints left and right. So the Pope did something pretty radical. He created an office called the Advocaci, the devil's advocate. This person's entire job was to argue against the canonization of any saint, to find the dirt, to poke holes, to be ruthless. The church realized this 400 years ago. When the stakes are high, good decisions are rarely made through agreements. They come from conflict.Now, why is this necessary? Well, it's called the IKEA effect. We fall in love with anything we build ourselves. Research shows that smart people are great at spotting flaws in other people's thinking, physically incapable of seeing them in their own. So the key insight, most people use chat GPT for validation, but you should use it for violation. But here's the problem. Chat GPT is programmed to keep you happy. So you have to force it to behave differently. So, here are the three tricks to break the AI's peoplepleaser programming.
First, use magic triggers. Force adversarial thinking. Instead of saying, "What do you think?" be specific. Prompt it and say, "Audit this using first principles or act as my fierce competitor." You may not get what you want, but you will get what you need. Second, shadow boxing. Don't step into the ring unprepared. Let's say if you're going out to raise money for your venture, tell the AI, "Simulate a debate between a ruthless, skeptical VC and a visionary product designer. Let the VC push back on the idea. I want to see that fight and learn from it." This way, you let AI expose the weak points so you don't fumble on them in the real world meeting. Third, the blind spot check. feed it your strategy and ask one question based on what you know about me. "What are the gaps in my reasoning?" When we get successful, we develop two bad habits. We trap ourselves in this bubble of our ego and we surround ourselves with people who just say yes. That's why this strategy is so critical to save you from yourself. But knowing where you're wrong or why you're wrong is not enough. You still have to learn fast about what's right. That's where our next strategy comes in, the neural link.
神经网络:重塑新知吸收
在加速吸收新知时,许多人深度笃信所谓的 一万小时定律(10,000-Hour Rule: 指在某个领域实现世界级大师水平需要长达万小时的刻意练习)。这里有一个关于诺贝尔物理学奖得主 马克斯·普朗克(Max Planck: 量子力学的奠基人,1918年诺贝尔物理学奖获得者)的经典轶事:在获得诺贝尔奖后,普朗克在德国巡回演讲,每晚都重复同一篇关于量子力学的深度学术报告。他的专职司机坐在听众席的第一排,日复一日,竟然一字不落地把这篇讲稿全部背了下来。某天晚上,司机对普朗克说:“教授,每天听同样的报告太无聊了。今晚不如我们互换身份吧?我戴上您的帽子上台演讲,您换上我的司机制服坐在台下。”普朗克欣然同意。司机在台上无论是语调、节奏还是讲稿内容都完美无缺。然而演讲结束时,台下的一位物理学家突然站起来提问了一个非常艰深的学术问题。台上的伪装司机毫无慌乱,微笑着回应:“在慕尼黑这样一座科学昌明的城市,我实在惊讶于竟然会听到如此浅显的问题。为了向您证明这个问题有多简单,我决定让我的司机——也就是坐在台下的普朗克教授,来替我回答。”
这个故事揭示了认知深度的本质:现实中大多数人使用 AI 就像是那位司机的翻版。他们从 ChatGPT 复制那些听起来极其专业和聪明的段落和词汇,用来包装自己。这只能建立没有认知的表面流利(Fluency without Foundation: 能够流利表达某个概念却对其底层原理和逻辑一无所知的浅薄状态)。为了彻底突破这一表层壁垒,在个人大脑中构建深度的神经网络通道,我提炼了以下三种重塑学习路径的训练法:
- 黑话翻译机(The Jargon Translator):拒绝生搬硬套专业术语,而是命令 AI 将其映射到你所熟悉的既有认知模型中。比如:“请完全使用‘餐厅服务流程’这一隐喻,向我解释什么是 API(应用程序接口)。”在这一重构下,菜单瞬间变成了开发文档,厨房变成了后台服务器,而服务员则成了 API——作为信使,将你的点单送入厨房并端回烹饪好的菜肴。你不需要从头构建新概念,而是将前沿的技术黑话无缝翻译为你早已熟知的行业黑话。
- 递进式教授法(The Progressive Professor):这源自物理学家理查德·费曼的经典学习法,如果你不能用最简单的语言表达一个概念,就说明你根本没有理解它。在探索诸如量子计算这类前沿领域时,绝不要让 ChatGPT 直接输出大段定义,而是要求它以三种递进的难度分别解释:“第一,扮演面对5岁儿童的启蒙老师,用最通俗易懂的日常话语解释;第二,扮演面对15岁少年的引导者,使用严密的逻辑和生活实例;第三,扮演大学教授,分享其底层的学术理论与公式体系。”按照这种梯度顺序去逐步攻克,新知识在脑中会瞬间结构化并卡入正确的认知生态位。
- 认知反向输出测试(The Degree Download):为了彻底检验学习效果,你可以将 AI 转化为检验你水平的同行评审者。你可以对它说:“我想要开发一款创新的 AI 电商产品,需要掌握机器学习的底层基础。请跳过一切无用的空洞理论,只向我灌输最具实操性的硬核技能,然后请对我进行提问测试,直到我能够清晰地把这些逻辑反向教会你为止。”这种强力反馈机制可以在短时间内彻底取代市面上价值数万美元的技能培训班。
这种高效的认知重塑机器固定帮你在商业社会中一往无前,但高强度的学习与战斗极易导致个人精神的过载与情绪失焦。为了保障核心心智的健康与理性,我们必须依靠最后的防线——深夜的高管教练。
Original English
And it breaks the rule most of us grew up believing that mastery takes 10,000 hours. You know, there is a famous story about a physicist Max Plank after he won the Nobel Prize, he went on a tour giving the same speech about quantum mechanics every night. Now, his chauffeur sat in the front row every time and literally memorized every word. One night the chauffeur said, "Professor, I'm getting bored just listening to you. Let's switch. I'll give the lecture on stage and you sit in the audience wearing my cap." Plank of course agreed. Same words, same structure, same cadence. The speech was flawless.But at the end, a physicist in the audience stood up and asked a deep technical question. But the chauffeur didn't panic at all. He smiled and said, "I am surprised to hear such a simple question in a city as advanced as Munich. To prove how simple it is, I'm going to let my chauffeur answer it." Of course, that was Max Plank. But here's the point. Most people use chat like that chauffeur. They copy paste smart sounding phrases and answers to sound intelligent. They have fluency without foundation.
So, here are three ways to get that neural link. True understanding without becoming that chauffeur. First the jargon translator. For instance tell it explain the concept of API using the restaurant metaphors only. Suddenly the menu becomes the documentation. The kitchen is the server and the waiter is the API. The messenger that takes your order delivers it in the kitchen brings back the results. You aren't learning from scratch. You're translating that jargon into your jargon. Second, the progressive professor. Richard Feainman said that if you can't explain it simply, you don't understand it. So don't ask Chachi Peter to explain quantum computing, but instead say explain quantum computing to me three ways. One, like I am a 5-year-old and give me the simplest explanation. Number two, like I am a 15year-old, explain it with logic and examples. And three, like I'm a college student, share the underlying theory. When you do that in that particular order, you will feel any concept click into place in your brain instantly. And third, the degree download. You teach it, you keep it. So use AI to be your target audience or a peer prompted to say something like, "I want to build a cool AI commerce product. I need to learn the foundation of how machine learning works. Skip the theory, only give me actionable skills, no fluff, and then test me so I can teach it back to you." You just replaced a boot camp worth $50,000 with a PDF. So, here you are. You have built a high-performance chat GPT machine, but such machines tend to overheat. The fifth strategy is called the executive coach, and without it, none of the other strategies would work.
高管教练:回归情感本质
在商海波涛中,最稀缺的往往不是外部的方法论,而是对内心的审视与掌控。两千年前,马可·奥勒留(Marcus Aurelius: 罗马帝国皇帝,斯多葛学派代表人物,著有《沉思录》)作为罗马帝国的皇帝,虽然掌握着已知世界的至高权力,但他同样也是整个帝国中最孤独的人。在面对繁重的国政与战争时,他没有任何可以倾诉与咨询的同辈人,于是他为自己聘请了一位特殊的教练——一卷空白的羊皮纸。每晚在军营的帐篷里,他写下自己的焦虑、恐惧以及对自我的严厉诫勉,这部自我反省的手稿最终汇编成了著名的《沉思录》(To Himself)。
无论你是已经成功的企业高管,还是正奔跑在通往卓越的路上,你都不可避免地需要一位高管教练。我曾先后聘请过两位优秀的教练,他们彻底改变了我的心智轨迹。然而,即使是再顶尖的人类教练,也不可能在午夜十二点——在你被某项高危决策折磨得难以入眠的最关键时刻,随时随地接听你的电话。在这一决定性的时刻,你可以利用 ChatGPT 充当一面不带任何情绪包袱和主观偏见的心智之镜。开启语音模式,以下述三套具体的反思模型来平复你的焦虑与纠结:
- 倾倒与整理(Vomit Mirror):当你陷入严重的信息过载或情绪杂乱时,大脑往往会是一团乱麻。打开 ChatGPT 语音模式直接对它说:“现在我要在接下来的五分钟内进行一场完全发泄式的碎碎念,宣泄我目前面临的所有压力与痛点。期间不要打断我,只需静静聆听。当我倾诉完毕后,请帮我将这些混乱的碎片整理归纳为三张清单:‘我今天能立刻着手解决的切实问题’、‘我必须彻底授权他人去执行的待办事项’,以及‘我应当主动忽略的情绪噪音’。”随后直接开始宣泄,这能将脑海中的混沌快速转化为清爽的行动指南。
- 斯多葛学派重塑(Stoic Mirror):当你遭遇毁灭性的业务重创、丢失了核心订单甚至面临个人滑铁卢时,你可以向 AI 寻求理性的斯多葛式反思。对它说:“我刚刚遭遇了严重的业务失败,内心感到无比沮丧。请使用斯多葛哲学原理(Stoicism: 强调区分可控与不可控事物、在逆境中保持理性与德行的古典哲学)为我重新框架这一困境,并剖析为何这次失败在客观上也是一次成长的契机。”在这种理性对谈中进行辩论与推拉,直至说服自己,这能瞬间遏制住情绪的无序螺旋下坠。
- 决策沙盘对谈(Decision Mirror):在面对人生关键路口——例如辞去稳定工作或启动高风险创业前,进行深入的逻辑推演。告诉 AI:“我正计划做出某项重大抉择,以下是我的全部逻辑推导,让我们就此展开一场深度的沙盘对谈。”这并不是为了盲目信从 AI 给出的最终结论,而是通过将决策逻辑外化为对话,帮助你在对谈中理清自身的判断与杂念。
在我即将接任首席执行官(CEO)的前一周,我的高管教练曾将我拉到一旁,语重心长地对我说:“记住,你的职位是 CEO,这代表着首席执行官(Chief Executive Officer)。但在这个时代,那个‘E’同时还代表着情绪(Emotions: 人的主观感受与情感状态)——你现在同样也是‘首席情绪官’,你必须学会如何管理和安抚你旗下所有员工的情绪。”
这句话影响了我很多年。在很长一段时期里,我们在这个工业文明的逻辑下,都在竭尽全力地试图将我们自己训练并改造成精密运转的机器。我们习惯用产能、产出和效率来定义自己的生命价值。如果在市场上我们既不生产也不消费,我们似乎就变得无足轻重。我们甚至试图比机器人表现得更像机器人。但现在,真正无懈可击的机器已经到来,它们正在收回原本就属于机器的枯燥工作。
这并不是一种末日般的威胁,而是一张解放人类的许可证。它允许我们停止扮演那些冷酷的机器,允许我们去感受、去展现同理心、去重建人与人的连接,并去拥抱生命中那些未知的奥秘。在某种意义上,AI 与机器的崛起是为了将人类从机械的劳作中解放出来,促使我们回归人类最本真的自然属性。AI 赠予我们最终极的礼物,或许并不是效率的狂飙,而是重新让我们学会如何成为一个更纯粹的“人”。
Original English
2,000 years ago, Marcus Orurelius was the emperor of Rome, but he was also the loneliest. He had no one to talk to. So, he hired a coach. That coach was a blank scroll. Every night in his tent, he wrote down his anxieties, his fears, his advice to himself. He titled that manuscript to himself. If you are a successful executive or on the path of being one, you need an executive coach. I had two and they both changed my trajectory dramatically. But sometimes executive coaches and mentors aren't going to be available to you at midnight when you need them the most when you can't sleep because of a decision you have to make. And that's when you can use chat GPT to show you a mirror with zero emotional baggage. You can even turn the voice mode. That's what I do.Here are three tricks to turn chat into your temporary executive coach. First, the vomit mirror. When you are overwhelmed, your brain is going to be a tangled mess. It happens to me. Open voice mode and say, "I am going to rant for 5 minutes about everything stressing me out. Don't interrupt. Just listen. When I'm done, organize my chaos into three lists. Problems I can solve today. problems I need to delegate, noise I need to ignore. That's it. And then go ahead, just rant as long as you want. Second, the stoic mirror. It's possible that you may have just lost a deal or you got fired or something terrible happened. You can say to Chad GPT at that point, "I just took a massive loss. I feel like a failure. reframe this situation for me using the story principles and tell me why this is actually an opportunity." Have that conversation until you're convinced. Push back. Let it push back to you. Even if you're not convinced, it'll slow down the emotional spiral that you're on instantly. And the third and the final mirror, the decision mirror. Before you make a massive decision like quitting a job or starting a new company, talk it out. "I am about to do X. Here's my logic. Let's have a conversation." You don't have to put faith in Chat GPT's advice. In fact, please don't. But talking it out clears your own head about your own judgment.
We covered five strategies and 15 ways to optimize your relationship with Chat GPT. But here's the truth. All of these skills are essentially alpha. In finance, when traders find an edge, they make a fortune and it's called the alpha. But eventually everyone figures it out. What's rare today becomes required tomorrow. That's how life works. And what happens when it all becomes a commodity? How will you maintain your edge then? I'll share my personal story that changed my idea about my edge. A week before I took my CEO job, my executive coach pulled me aside and he said, "Remember, your title is CEO, chief executive officer. But that E does not just stand for executive. It also stands for emotions. You're the chief emotions officer now as well. You have to manage the emotions of your own people." That conversation stayed with me for years because for a long time we have forgotten that message. You know, we spend the entire industrial age trying to turn ourselves into machines. We measured our worth by our output, our productivity. If we didn't produce or we didn't consume, we didn't matter to the market. So what did we do? We tried to outroot the robots. But now the actual machines have arrived to take their job back. And that's not a threat. That's actually a permission. Permission to us to stop pretending like we're machines. Permission to feel, to show compassion, to connect to those mysteries, to connect to others, to connect to this mystery called life. In a way, I feel that AI and machines are coming to free us from labor so we can return to our essential nature. AI's ultimate gift might very well be then that it will make us more human. If you like this video, here's another one that I think you will like. Thank you and I love