Andrew Chen解释了为什么有些AI应用一开始一般，但后来越用越离不开——核心是模型迭代让体验持续提升。
Andrew Chen提出AI微笑曲线概念，指AI应用随着时间推移用户留存和使用量上升。类似早期社交网络（Facebook、Instagram）和SaaS协作工具（Slack、Zoom）的增长曲线，AI的曲线源于基础模型的不断改进。用户从最初体验不理想，到新模型发布后效果提升，最终融入工作流程，使用量和花费随时间增加。
THE AI SMILE CURVE AI has created a new “smile curve” where retention/usage goes up over time. Reca...
THE AI SMILE CURVE AI has created a new “smile curve” where retention/usage goes up over time. Recall that smile curves used to only appear in a few places, and when they appeared, they became “must fund” products - In the social age, it was social networks where consumers create accounts, add friends over time, growing usage until it’s a daily habit (Facebook, Instagram, etc) - In the Uber for X age, it was apps where consumers used them more over time, spending more as availability increased (Uber, Doordash, etc) - In the SaaS age, collaboration tools that spread within a workplace, expanding revenue within an account over time (Slack, Zoom, etc) In the AI age we are seeing it based on foundation model improvement: - try out an AI app, it doesn’t work that well - a new model is released, it works better - eventually you incorporate it into your workflow - your usage + spend goes up over time In the AI smile curve, what seemed meh at first eventually becomes indispensible 💬 2 🔄 3 ❤️ 5 👀 1022 📊 4 ⚡
- AI Engineer07-28 17:43原文