Andrew Chen解释了AI在职场吃香但在社交娱乐产品里不受待见的原因：工作要的是流程化，消费要的是新鲜感，AI生成的“标准动作”恰恰毁掉体验。看完你就明白为什么AI客服差评多。
风险投资人Andrew Chen在X上发帖指出，AI在工作中擅长消除重复劳动，但在消费应用里容易生成“垃圾内容”。他认为工作场景的填表、写更新、审代码等任务高度模式化，AI能高效压缩这些步骤。而社交、娱乐等消费应用依赖新鲜感和真实性，AI生成内容难以建立准社会关系。这种“对抗性创造力”的缺失也出现在销售营销等场景。
Quick observation on why AI has exploded at work, but has been slow to disrupt consumer apps: At wo...
Quick observation on why AI has exploded at work, but has been slow to disrupt consumer apps: At work, AI follows patterns and gets rid of drudgery (good!) At home, AI follows patterns but it generates slop (bad!) This is why AI has taken off at work, but not so much for consumer apps and experiences (social, entertainment, dating, etc) Much of work is drudgery - filling out forms, following processes, writing updates, reviewing boilerplate code, etc. - and AI does a great job compressing this down the boring steps so that humans can focus on the high-leverage steps. The boring/routine work is not hard, but they often take a lot of steps and you have to stitch together a lot of data. You follow patterns. AI is good at following patterns too. Consumer attention, on the other hand, is hard to win over because people crave novelty, seek parasocial relationships, and are so cognizant of AI slop. A video of an attractive person talking loses its ability to generate parasocial relationships. In domains like social media, video, etc where authenticity is paramount, a distorted AI sign in the background can ruin the entire thing. Novelty is generated by surfing the cultural wave with something new and unique - AI slop often pattern matches to the past, after all, it’s the past that’s in the data set, and as a result, new/unique is hard This is a form of “adversarial creativity” - and it exists in business as well. When you think about inherently adversarial activities in business - like sales and marketing, where novel messaging, competitive move+countermove dominate - AI has received the most scrutiny for generating slop. No one wants the same sounding AI generated cold emails. No one wants to use AI slop software. You have to go outside the model in order to really land a message. Perhaps this is the ultimate human-in-the-loop problem, because to do something fresh and unique requires adversarial creativity. Or maybe with enough advancements around being able to observe and react in real-time, future AI models will be able to say something novel by taking into account the X timeline from the past 24 hours. 💬 8 🔄 2 ❤️ 11 👀 1566 📊 10 ⚡