Core Viewpoint - The article discusses the rise of AI-related side jobs, highlighting the disparity between the perceived ease of earning money through AI and the actual challenges faced by individuals in these roles. It emphasizes that many success stories are exaggerated and often serve the interests of training institutions rather than reflecting genuine opportunities for wealth creation [5][15]. Summary by Sections AI Side Jobs Overview - AI side jobs are categorized into three main types: metaphysical (e.g., AI fortune-telling), entertainment and consumer goods (e.g., AI stickers and avatars), and practical applications (e.g., AI writing and video production) [7][9][13]. - The demand for AI writing and video production is growing, but the market is becoming increasingly competitive and professionalized, limiting opportunities for non-professionals [16][17]. Challenges in AI Side Jobs - The demand for AI-related services is often overstated, as large companies are developing their own AI tools, reducing the space for casual participants [16]. - The low technical barriers to entry for AI side jobs lead to a saturation of the market, resulting in a decline in quality and increased competition [14][17]. The Role of Training Institutions - Many training institutions exploit the hype around AI to sell courses, often targeting vulnerable demographics such as young people and the elderly with exaggerated claims of potential earnings [18][21]. - The marketing strategies of these institutions often play on fears of missing out (FOMO) and the desire for quick financial gains, leading to impulsive purchases of training programs [21]. Future Outlook - As the AI market matures, it is expected to move towards greater standardization and professionalism, which may raise the entry barriers for side jobs [21]. - Individuals who genuinely master AI technologies will be better positioned to benefit from the evolving landscape, while those relying on superficial skills may struggle to compete [21].

AI副业不好做：占卜、写作、设计各有各的难 这年头，任何职业似乎只要沾上AI的光就会"升价百倍"——就连副业也不例外。 基础一点的，是"普通人都能干"的AI写作，号称1小时小赚200+不成问题；技术含量稍微高一点的，像AI设计、AI方案撰写，月入过万不是梦；更高阶一 点的如AI视频生产、AI玩偶吃播，爆款内容点赞数动辄10万+，被宣传成自媒体快速起号秘籍、号称零经验也能入行当博主，AI店铺自主经营更是躺着赚 钱的"财富密码"…… 但现实绝非表面上这般美好。那些看似轻松、躺赚的AI副业，大多是营销号为卖课制造的噱头。当代人对搞钱的热情，对AI的认知局限，给了各类培训 机构、网红主播钻空子的机会。但随着AI逐渐褪去神秘面纱，技术不断普及，人们的认知也在变化：AI副业远非想象中"一本万利"，大多数暴富故事背 后，都有着利益与目的。 市面上流行的AI副业花样百出，但大体来说也离不开几个常见类目。 一是玄学类，AI占卜，尤其是塔罗牌占卜，是最早火起来的AI副业赛道之一。 早在AI刚兴起那会儿，利用大模型占卜算命就是互联网流量密码之一，并带火了AI占卜概念。随后各大大模型应用闻风而动，推出相应功能，比如Kimi 的塔罗师 ...

Core Insights - The article discusses the challenges of multi-turn conversations in AI applications, emphasizing that current models struggle with maintaining context and coherence over extended dialogues [3][5][6] - It highlights the necessity of designing Standard Operating Procedures (SOPs) to improve multi-turn dialogue experiences, focusing on goal-oriented interactions [10][12][48] Group 1: Challenges in Multi-Turn Conversations - Multi-turn dialogue is complex due to the tendency of users to open new windows for new questions, reflecting a lack of trust in the model's capabilities [4] - The forgetting rate of key information in AI models increases significantly with the number of dialogue turns, with a 37% information loss after 7 turns and 68% after 12 turns [5][6] - The use of pronouns in conversations complicates AI interactions, as models may misassociate these terms, requiring users to provide additional context [7] Group 2: Importance of SOP Design - Effective multi-turn dialogue requires clear goal setting and task design, which can be achieved through SOPs [10][12] - A well-structured SOP can prevent application failures and ensure that the AI model provides relevant and coherent responses [12][48] - The article suggests that AI should have specific objectives to enhance the quality of interactions, making conversations more engaging and meaningful [20][48] Group 3: User Behavior and Expectations - Users often prefer concise answers, while others may seek more exploratory responses, creating challenges for AI in meeting diverse expectations [9] - The article warns against the misconception that AI can seamlessly handle multi-turn dialogues without proper design and structure [9][48] - It emphasizes the need for AI to adopt a more human-like approach in conversations, which can be achieved by embedding goals and emotional context into interactions [48][49]