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.
← 返回归档
查看 X 原文帖子详情
查看 Markdown 内容
--- tweet_id: "2111227692414914690" author: "akothari" published_at: "2026-10-16T22:48:01+00:00" source_url: "https://x.com/akothari/status/2111227692414914690" --- 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.