"You fail if you build for where the models are now. You fail if you build for where you think the m...
TL;DR · AI 摘要
构建AI产品需面向未来2-3个月的模型发展，而非当前或一年后的状态，OpenAI内部已转向深度依赖Codex。
核心要点
- 产品开发应聚焦模型2-3个月后的演进，而非当前或一年后的状态
- OpenAI内部通过'Are you mainlining it yet?'文化推动Codex深度应用
- ChatGPT Work产品负责人Tarstarr强调短期技术预判的重要性
结构提纲
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- §核心观点
构建AI产品需面向未来2-3个月的模型发展，而非当前或一年后的状态。
通过'Are you mainlining it yet?'文化推动团队深度依赖Codex。
产品负责人Tarstarr强调短期技术预判对产品成功的关键作用。
思维导图
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查看大纲文本（无障碍 / 无 JS 友好）
- AI产品开发策略
- 核心原则
- 聚焦2-3个月模型演进
- 避免长期技术预判
- OpenAI实践
- Codex深度整合
- Mainlining文化
金句 / Highlights
值得收藏与分享的关键句。
'You fail if you build for where the models are now.' — OpenAI ChatGPT Work产品负责人Tarstarr
'Are you mainlining it yet?'成为OpenAI内部衡量AI依赖深度的文化标杆
Codex的采用标志着OpenAI产品策略从ChatGPT向代码生成能力的转向
Lenny Rachitsky on X: ""You fail if you build for where the models are now. You fail if you build for where you think the models will be in a year. The only way to build is for where the models will be in 2-3 months." — @OpenAI's ChatGPT Work product lead @tarstarr" / X
@lennysan
"You fail if you build for where the models are now. You fail if you build for where you think the models will be in a year. The only way to build is for where the models will be in 2-3 months." —
@
OpenAI
's ChatGPT Work product lead
tarstarr
$
00:00
/$
Aug 30
"Are you mainlining it yet?" This is one of the key internal memes at
, and a big part of the reason there's been a vibe shift toward Codex over the past few months. It asks: are you using the product all day, every day? Are you depending on it? Are you bringing all your
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7:01 PM · Aug 31, 2026
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