啦啦啦哈

[啦啦啦哈 @suzhu2]

@ruiii233 那必须是言情，没有晴子臭打球的有啥好看的

[啦啦啦哈 @suzhu2]

@m0d8ye God, 竟然是仙剑友

[啦啦啦哈 @suzhu2]

@m0d8ye 期���

[啦啦啦哈 @suzhu2]

在一个context里，如果token消费是叠加的，所以context 越大，消耗token越快？

[啦啦啦哈 @suzhu2]

@mitsuhiko 👍

[啦啦啦哈 @suzhu2]

@yetone 把它们PUA到我们喜欢的模样

[啦啦啦哈 @suzhu2]

@xicilion 效果咋样啊？

[啦啦啦哈 @suzhu2]

@CMGS1988 新的身份，challenge master

[啦啦啦哈 @suzhu2]

以前经常看到python lib upgrade or switch language blog, 在LLM面前都没啥意义了

[啦啦啦哈 @suzhu2]

@localhost_4173 太形象了，我靠一全场

[TennyZhuang @zty0826]

Don't be too hard-working to work.

The classic "top talent" often is. I've been on more than one "elite" team, the kind you measure in olympiad/ACM gold and headcount from top schools, with some of the highest-paid employees you'll ever meet. In the agent era, the very confidence and diligence that made them are what hold them back. They don't believe real AGI is already here, so they won't hand the critical code, the algorithms, the research itself over to an agent. The moment an agent underperforms, the reflex is "this thing is useless," not "did I give it the right context?"

Since the start of this year, I've fully believed agents are already smarter than most people, with no ceiling I can see. Every dumb mistake traces back to context we failed to design for them. That's the whole reason I started talking about AX, Agent Experience: stop assuming there's a class of work an agent can't do, and start asking what you forgot to tell it.

The talent of this new era wants to do everything the agentic way

[啦啦啦哈 @suzhu2]

@laixintao 就是原来200G那个套餐

[啦啦啦哈 @suzhu2]

@m0d8ye 不知道，习惯了吧

[啦啦啦哈 @suzhu2]

Timeline 突然热闹起来了

[啦啦啦哈 @suzhu2]

https://t.co/7jHJHRUdUs

[啦啦啦哈 @suzhu2]

Tmux supports fzf picker

[啦啦啦哈 @suzhu2]

Open multiple nvim window + shell window+ agent windowbin tmux is a mess now

[啦啦啦哈 @suzhu2]

@michaelwong666 树洞？

[啦啦啦哈 @suzhu2]

@m0d8ye 出code太快了吧

[啦啦啦哈 @suzhu2]

@hajimehoshi Same, only in limited words, it can understand me