interface animation done well..
this is how you create a snappy, high end interface. blazing fast, fluid, and makes the whole ui feel so responsive
wizard » @tbsrnstrm
作为一名理工男,看到 Notion 创始人 Ivan Zhao 的这篇文章和视频,感触确实挺深的。Notion 和Obsidian是唯一两个我用来做学习记录的工具,用Notion你绝对会感受到开发者那种人文感。
如果你最近也因为 AI 的各种进化感到焦虑,甚至觉得自己的专业技能快要“贬值”了,那这个视频真的非常推荐你看一下。它不是在贩卖焦虑,反而在帮我们梳理在 AI 时代,到底什么是“人”的核心价值。
我们习惯了卷代码、卷效率、卷逻辑,但 Ivan Zhao 提出了一个很扎心的观点:当 AI 让脑力劳动变得像自来水一样廉价时,以往那种“拼谁记得多、拼谁手快”的努力方式可能真的不值钱了。但这并不代表人类没戏了,恰恰相反,这其实是给了我们一次“变回人”的机会。
以前我们为了追求效率,把自己练成了机器的一环。现在 AI 帮我们分担了那些繁重、重复的工作,反而逼着我们去思考一些更本质的东西。未来人与人之间的差距,不再是技术掌握得多深,而是你的审美、你对人性的理解、以及你独立思考的能力。
说白了,AI 就像油门,而我们的“品味”和“判断力”才是方向盘。如果你没有那种人文层面的沉淀,那你只是在用更快的速度制造数字垃圾。我们得学着从一个“干活的工匠”转型成一个“挑剔的甲方”,去驾驭 AI,而不是被它取代。
所以没必要焦虑,现在的重点不再是死磕某项具体的技术参数,而是要回过头来经营好你自己这个“人”。不管是做个人 IP,还是提升精神层面的独立性,本质上都是在强化那些 AI 模拟不出来的灵魂。人变强大了,AI 才只是你手里的一件趁手工具。
当“怎么做”不再是门槛,我���唯一的胜算就是把那个“真实的自我”活得更有厚度。如果把执行全都交给 AI,你觉得我们身上还有什么东西是机器永远拿不走的?欢迎评论区说说你的想法。
这是一个非常值得看的视频,强烈推荐!
There are no limits anymore. Anyone can do anything. The only limiting factors are agency and ambition.
Never has a college degree, work experience, network, even the accumulation of knowledge been worth less.
You can just ship things.
A popular request from folks on the Alpha has been to copy things by dragging while holding down option. Easy enough in theory, kind of essential - but man such a gnarly one to get working right.. 🫠 This will be in Alpha no 3, and another batch will be getting an invite soon.
I once heard that AirBnB spends roughly $100m a year on their design. And it seems like it's well worth it.
Here are a few principles you can steal from them 👇
My latest @framer template is LIVE! 🟠 Introducing, Conversion.
But, I've got some news...
I'm giving it away, absolutely FREE.
Simply like, repost and comment "Framer" below and I'll DM you the link.
(Make sure you're following me so I can DM you)
Today we're excited to introduce Devin, the first AI software engineer.
Devin is the new state-of-the-art on the SWE-Bench coding benchmark, has successfully passed practical engineering interviews from leading AI companies, and has even completed real jobs on Upwork.
Devin is an autonomous agent that solves engineering tasks through the use of its own shell, code editor, and web browser.
When evaluated on the SWE-Bench benchmark, which asks an AI to resolve GitHub issues found in real-world open-source projects, Devin correctly resolves 13.86% of the issues unassisted, far exceeding the previous state-of-the-art model performance of 1.96% unassisted and 4.80% assisted.
Check out what Devin can do in the thread below.