Core Insights - The emergence of DeepSeek, a domestic open-source AI model, has sparked discussions due to its free advantages, yet many still prefer to pay for ChatGPT, raising questions about user preferences and the quality of AI outputs [1][60]. - The output quality of AI tools is significantly influenced by user interaction, with 70% of the output quality depending on how users design their prompts [4][25]. Technical Differences - DeepSeek utilizes a mixed expert model with a training cost of $5.5 million, making it a cost-effective alternative compared to ChatGPT, which has training costs in the hundreds of millions [2]. - In the Chatbot Arena test, DeepSeek ranked third, demonstrating competitive performance, particularly excelling in mathematical reasoning with a 97.3% accuracy rate in the MATH-500 test [2]. Performance in Specific Scenarios - DeepSeek has shown superior performance in detailed analyses and creative writing tasks, providing comprehensive insights and deep thinking capabilities [3][17]. - The model's reasoning process is more transparent but requires structured prompts for optimal use, indicating that user guidance is crucial for maximizing its potential [7][12]. Cost and Efficiency - DeepSeek's pricing is 30% lower than ChatGPT, with a processing efficiency that is 20% higher and energy consumption reduced by 25% [8][9]. - For enterprises, private deployment of DeepSeek can be cost-effective in the long run, with a one-time server investment of around $200,000, avoiding ongoing API fees [9][10]. Deployment Flexibility - DeepSeek offers flexibility in deployment, allowing individual developers to run the 7B model on standard hardware, while enterprise setups can support high concurrency [11][10]. - The model's ability to run on lightweight devices significantly lowers the barrier for AI application [11]. Advanced Prompting Techniques - Mastery of advanced prompting techniques, such as "prompt chaining" and "reverse thinking," can significantly enhance the effectiveness of DeepSeek [13][14]. - The model's performance can be optimized by using multi-role prompts, allowing it to balance professionalism and readability [15][16]. Language Processing Capabilities - DeepSeek demonstrates a 92.7% accuracy rate in Chinese semantic understanding, surpassing ChatGPT's 89.3%, and supports classical literature analysis and dialect recognition [17]. Industry Applications - In finance, DeepSeek has improved investment decision efficiency by 40% for a securities company [18]. - In the medical field, it has achieved an 85% accuracy rate in disease diagnosis, nearing the level of professional doctors [19]. - For programming assistance, DeepSeek's error rate is 23% lower than GPT-4.5, with a 40% faster response time [20]. Complementary Nature of AI Tools - DeepSeek and ChatGPT are not mutually exclusive but serve as complementary tools, each suited for different tasks based on user needs [21][22]. - DeepSeek is preferable for deep reasoning, specialized knowledge, and data privacy, while ChatGPT excels in multi-modal interaction and creative content generation [24][22]. Importance of Prompting Skills - The ability to design effective prompts is becoming a core competency in the AI era, influencing the quality of AI outputs [54][55]. - The book "DeepSeek Application Advanced Tutorial" aims to enhance users' prompting skills and unlock the model's full potential [61].

神译局是36氪旗下编译团队，关注科技、商业、职场、生活等领域，重点介绍国外的新技术、新观点、新风向。 编者按：AI当道，当我们把"人性化"浪漫化成普世救赎时，算法正在构建新的价值坐标系。护理员的拥抱与风投家的决策同样充满人性，但后者 因与判断力捆绑而获得百倍溢价。在AI时代，人将变成"奢侈品"，好奇心、甄选力与判断力才是你能获得经济价值的关键。文章来自编译。 商店里售价80美元的红酒，在餐厅标价是400美元。 可照样有人买单，且回头客络绎不绝。侍酒师会向顾客讲述葡萄园某个传承六代的酿酒世家的故事。 他说的或许不全是假的。但真相本身并不重要——此刻的酒液已更为醇香。 食客以为自己买的是美酒，其实他们买的是侍酒师——他的气质、机智，以及让人瞬间化身品鉴大师的魔力。 侍酒师经营的不是酒水生意，而是甄选艺术。更准确地说，他从事的是地位标志的生意。 令人惊讶的是，在这个任何酒标信息和品鉴笔记都能通过谷歌或ChatGPT马上获取的时代，他的信号传递与甄选服务依然不可替代。 当产品（葡萄酒）日益同质化时，侍酒师以"奢侈品"姿态崛起，专业推荐成为新的差异化要素。这正是未来职业发展的方向。 侍酒师早已参透（我们也终将领悟）的奥 ...

曲凯 ： 你之前的最好成绩是拿了 WSOP 的金手链奖。 Ricky ：对， WSOP 是全球最知名的扑克大赛，相当于扑克届的奥运会。我拿金手链的那场有 4747 个选手 报名，这些人的筹码经过层层淘汰，最后集中到了我一个人的手里。 曲凯 ： 所以在你看来德扑打得好的人有什么核心素养？ Ricky ：德扑是一个综合的游戏，比较重要的有三点： 1) 绝对理性 2) 对人的判断力 3) 对概率的理解 这些大都是天赋层面上的能力，决定了你的下限。如果要继续往上走，还离不开刻苦的训练、学习，和复 盘。 曲凯 ：这三点我们可以挨个展开讲讲。但我想先问一下，你怎么定义「天赋」？ Ricky ：天赋就是每个人特别擅长的事情。我从小就很擅长找到世界的规律，我的天赋就是归纳演绎。 曲凯 ：打德扑这十多年来，你的这个天赋核心体现在哪里？ Ricky ：我很擅长总结每个人行为上的规律，从而发现漏洞。 比如某个人习惯 2/3 注下强牌、1/3 注下弱牌，如果能抓到这个规律，我就可以一直打 Ta 这一点，打到 Ta 调整为止。 后来成长的过程中我一直也是这样要求自己的。 曲凯： 心态的变化和你在牌局里投入的多少也是相关的吧？投入金额占 ...