Arvind Jain：AI 产品应瞄准模型 50-70% 完成率的能力区间
一个很实用的做产品心法：别等模型全都会了才动手，挑它一半时间会失败的事去做，三个月后你就白捡一波能力升级。
作者提出一个产品思路：传统软件追求 99.9% 可靠性，AI 产品反而应该选择模型当下只有 50-70% 完成率的能力去做。这样用户既能体验到惊喜，又在逼近模型能力边界。随着模型 3-6 个月后把完成率推到 90% 以上，产品应继续提高野心，回到 70% 区间，形成随模型进步不断扩张产品能力的循环。
Random thought: We used to build products designed to work 99.9% of the time. With AI, I wonder if hitting that bar too early means you’re not being ambitious enough. If today’s models can reliably do everything your product promises, what are you leaving on the table? Maybe the sweet spot is a set of capability that models can complete 50–70% of the time: often enough for users to experience the magic, but hard enough that you’re pushing the limits of what’s possible. You’re building for capabilities that are just coming into reach. Then, 3–6 months later, better models push your completion rate toward 90%+. That’s your cue to raise your ambition until you’re back at 70%. The loop is to keep expanding what your product attempts as models get better at delivering it. 💬 1 🔄 0 ❤️ 8 👀 271 📊 2 ⚡
