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转载自Shaan的一分钟blog
Believing is seeing
RT @ConvergeToTruth: @fchollet it so happens that I’ve made this visualization of the space of all books based on an algo I found in @fchol…
Co-founder @ndea. Co-founder @arcprize. Creator of Keras and ARC-AGI. Author of 'Deep Learning with Python'.
当你觉得竞争太激烈了时，其实是一种自我幻觉 假设有1000个想要同样东西的人，实际竞争情况是： 🔴 红色区域（最大部分）：害怕尝试，根本不开始 🔵 蓝色区域：尝试3次失败后就放弃了 🟢 绿色区域：行动太慢 🟣 紫色区域：被其他的事物分散注意力 🟡 黄色小点：真正的竞争对手（另一个认真执行的人） 🟡 另一个黄色小点：你 这也就是说，在1000个竞争者中： >真正会动手的：极少数 >坚持超过3次失败的：更少 >专注且持续行动的：可能就你和另外1-2个人 Take a simple idea, and take it seriously. （认真对待一个简单的想法） —— Charlie Munger 大多数竞争都是虚幻的。真正的障碍不是竞争对手太多，而是大多数人根本不会认真执行。只要你持续行动，你已经超越了99%的竞争者
转载自Shaan的一分钟blog
I should visit other parts of the US more…
“The woman scooping Silicon Valley” — BBC・hacker turned builder + blogger・ex: Threads, Instagram, startups, etc
cursor 2.0 的设计基本和我现在的workflow很接近了。
🖥️ Indie Maker 🛠️ 星球「海哥和他的小伙伴们」 📌 油管「海拉鲁编程客」 🌸 沦为程序员的段子手/猫咪
we have this chart metaphorically pinned to the wall rn. 1 more Fast Agent product soon. sync/async is the wrong framing. you want cheap/commodity/background agents for solved slop problems, Fast Agents for the hard ones where you need to stay under the flow window to keep Human attention span for deep work. while model labs go after multi-day autonomy, agent labs are going after the mind meld with the machine
achieve ambition with intentionality, intensity, & integrity - @dxtipshq - @sveltesociety - @aidotengineer - @latentspacepod - @cognition + @smol_ai
