Some nice quotes from Dario and Daniela from this session: “I’ve been training these models since 2015, they were really dumb.” "Build for the exponential. There are products that are not possible with the current model but could work with later models. This puts a premium on internal experimentation. You have to just try it with the model to see if it works." “Products reach their saturation when models get too good. The ways in which we are making models smarter today are much more evident in agentic and Claude Code workflows than chatbots. You have to think about what the next big thing is.” “Models are evolving from coding to software engineering to just growing a business.” “It’s easy to accumulate an extraordinary amount of internal tech debt when you ship that fast. But the models can also help you pay down this debt."
这场 session 中 Dario 和 Daniela 的一些精彩引述：“我从 2015 年就开始训练这些 model（模型）了，它们当时真的很笨。” “要为指数级增长而构建。有些产品用当前 model 还做不到，但在后续 model 上可能可以实现。这会大幅提高内部实验的重要性。你必须直接拿 model 试一试，才能知道它是否可行。” “当 model 变得过于强大时，产品就会达到自己的饱和点。如今我们让 model 变得更聪明的方式，在 agentic（智能体式）和 Claude Code 工作流中体现得远比 chatbot（聊天机器人）更明显。你必须思考下一个大机会是什么。” “model 正在从 coding（编程）演进到 software engineering（软件工程），再到直接推动业务增长。” “当你以那样的速度发布产品时，很容易积累数量惊人的内部技术债务。但 model 也可以帮助你偿还这些债务。”
Dario: “We saw 80x growth earlier this year on usage and revenue” “That’s why we are going to keep acquiring as much compute as we can”
Dario：“我们在今年早些时候看到 usage（使用量）和 revenue（营收）增长了 80 倍。” “这就是为什么我们会继续尽可能多地获取 compute（算力）。”