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Dad|Husband|Product manager

[Boris Cherny @bcherny]

As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I think is five archetypes:

1. Prototyper: comes up with brand new ideas; churns out many ideas, most of which don't ship
2. Builder: quickly turns a prototype/idea into production-grade product/infra
3. Sweeper: cleans up the UI, simplifies the code and system, unships, optimizes performance
4. Grower: takes a product that has been built and iterates on it to improve Product-Market Fit
5. Maintainer: owns a mature system to make it secure, reliable, fast, and efficient as it scales

Many people span across 2 roles, and sometimes 3 roles. I also notice that these roles are not really tied to job function -- eg. across Anthropic, some designers match category 1, some 2, some 3; same for engineers, PM, DS.

A healthy team needs a mix of these, depending on the product:

- A product that is new and pre-PMF needs people that are strong at 1+2+3
- A product that is growing and has found PMF needs 2+3+4 and some 5
- A product that has strong PMF needs 3+4+5 and some 2

Maybe product roles of the future will look more like this, and less like the domain-specific roles of today?

[X @xin_different]

既然AI这么牛，能替代人，那为啥Anthropic 和Open AI都在疯狂招人

[X @xin_different]

@PandaTalk8 网上说的那必然是真的

[X @xin_different]

@TheLiberal_ie Support from china

[X @xin_different]

无糖可乐真难喝。

[X @xin_different]

@osqinning @AnthropicAI 你个低能儿，X也是被你的主子限制不让你访问的，咋把你这种狗放出来了，你敢对你主子的吠一声都算你是一条狗

[X @xin_different]

@AnthropicAI 让普通中国人用也是唤醒他们，让他们知道知道CCP的邪恶，毕竟现在CCP通过控制他们的模型从而控制普通人，如果你真的为全人类考虑，不应不考虑那10多亿

[X @xin_different]

@AnthropicAI 虽然深受没法方便使用你们的模型之苦，但很支持你干CCP，但能不能把普通中国人和CCP区分一下，让普通人能用，毕竟一个人的正常用量达不到蒸馏的效果？

[X @xin_different]

@Jiaxi_Cui 买这车的干啥都正常

[X @xin_different]

所以如果你感觉身边的人都在疯狂地使用AI工具改变工作流，要么你在这个圈子里，要么是一种错觉，大可不必过度焦虑，因为很多人都还没意识到AI的真正作用

[X @xin_different]

说几个令人惊讶的数字：Chatgpt有近10亿用户，而Claude code估计只有几百万，Codex也只有400多万。换言之，真正在把AI当生产工具的目前只有极少数人，而绝大部分人只是拿它当玩具，增强版的搜索引擎。

[X @xin_different]

@btcbqr 赢就是了

[X @xin_different]

@ryan_80200 是，你从墙国来上推特违法了知道吗，还快感恩

[X @xin_different]

我以为AI是我们在信息世界的Agent，现在细想，也许我们才是AI在物理世界的Agent，谁主谁客真不一定，尤其是在智力这个领域

[X @xin_different]

企业想把员工蒸馏成skill永世打工，换个角度，员工也可以把在企业做过的项目和技能变成skill随时带走

[X @xin_different]

今天感觉Cursor （自带的大模型）变强了，是我的错觉么，甚至最近感觉比claude的模型都好用

[X @xin_different]

人类目前相比AI的唯一优势应该是上下文管理了（中短期记忆能力）

[X @xin_different]

现在跟AI沟通主要通过打字或口喷，AI看起来还是盲人，相信有一天AI还会有眼睛，能看见

[X @xin_different]

让大模型直接调用一些MCP可能会非常费Token，可以留意下

[X @xin_different]

由于claude花钱如流水，以前的方法是用opus4.6做复杂问题分析、任务拆解，然后交给便宜的如Cursor 自带的模型执行，就好比公司用资深员工做策划，低阶员工执行，好处是省钱，坏处是不断切来切去。现在好了，claude直接自闭环，用opus4.6监督haiku干活