Alan杨哲

Build something interesting with ai

[Alan杨哲 @MeshachAlan]

我觉得最重要的还是得实践，在实践中学，在实践中确认热爱，在实践中找到自己的事业，空想只能内耗，不能带来任何价值

[OōEli.eth @ooeli_eth]

Reddit上一个年轻人发问：

我很焦虑，害怕以后自己过上平庸的人生，该怎么办？

有一条高赞回复是：

“我总觉得自己注定要成就一番大事，所以不敢随便选择一条普通的人生道路。”

这种想法看似雄心勃勃，实际上很容易让人陷入停滞：因为每一次选择，都��是在承认自己只是普通人。

后来才明白，真正优秀的人往往没有突然找到所谓的“天命”。他们只是选择了一件有难度的事，持续投入十年，把它做到极致。

你的独特性来自你为一件事投入的深度，而不在于你最初选择了什么。

一个把普通工作做到极致的人，远比一千个等待命运暗示的梦想家更耀眼。

人生的意义，很多时候不是想出来的，而是在行动中逐渐显现的。

真正需要警惕的，从来不是平庸，而是长期停在原地。

[Alan杨哲 @MeshachAlan]

这家伙在说什么呢

[Tibo @thsottiaux]

Given some of the results I'm seeing recently, it's pretty clear Codex is a good harness.

But it will seem primitive in 2-3 months and we're about to go through another major evolution in how we use AI at the frontier. The next generation of models need more than your laptop.

[Alan杨哲 @MeshachAlan]

mark一下，好奇两年之后的ai能做到什么样子

[Andrej Karpathy @karpathy]

We're starting to leave the territory where you'd test an LLM by e.g. "create an svg of pelican on a bicycle". As one idea to generalize it, I was interested what Opus 5 would do if I gave it the first paragraph of the Lord of the Rings, a 1M token budget (~$10) and asked for three js render of it. Opus went off for ~2 hours and wrote 5500 lines of code that (procedurally) rendered the story. It's kind of janky but fun. But it's a bit mindboggling that the LLM has to place and orchestrate various polygon assets in (x,y,z) coordinates and write code that animates it all, and that it even does anything at all.

I also like this kind of examples because no one in their right mind would ever spend the time to write something this custom but LLMs have all the stamina and patience in the world, so it's an example where we go from "no one would ever do this" to "sure, why not, it's ~free". There might be a lot more. But I'm excited about creating hyper custom worlds that you can imagine dropping players into, e.g. here to participate in the LoTR story as a spectator NPC, or one of the characters, or etc. Something like an ephemeral GTA of X on demand.

Last thought is that the domain of worlds/games exposes a weakness in LLMs: they can't easily audit their work because they aren't able to efficiently and natively perceive videos or play games within them. Here, Opus 5 had to very slowly and painstakingly take screenshots at different points, and it messed up a few times and created a bunch of jank. An example of raw capability (multimodal, gameplay) that I think is still quite lacking.

[Alan杨哲 @MeshachAlan]

“令人悲哀的是，传统教育的绝大多数价值层在崩塌，而沿着这条路径长大的孩子们，并没有被告知，这条路径已经坍塌了。”

[Alan杨哲 @MeshachAlan]

“未来几年的机会成本，对我们每个人来说，都处于历史最高点。除了少数需要具身经验，积累学习的专业(医学)，在2026年选择读研究生，将是收益极低的一个选择。2026-2030年不是普通四年，这可能是人类经济史上最大规模的技能价值重定价窗口。”

[Alan杨哲 @MeshachAlan]

@AISuperDomain 吗的，别用这出生公司的东西了，有k3咱们就硬气一点

[Alan杨哲 @MeshachAlan]

@quanruzhuoxiu @thsottiaux 还真不一定是codex的锅，是A/大规模封号

[Alan杨哲 @MeshachAlan]

感觉 fable5 会探索很多 prompt 之外的东西作为 context，其他的 model 也会做类似“先探索，再行动”的动作，但在fable5身上尤为明显

[Alan杨哲 @MeshachAlan]

从0开始学习代码的最好方式就是：找到一个精心维护的开源项目，然后让fable5从鸟瞰架构、模块调动、代码精讲的维度来编排课程，一步步由浅至深来教自己

还要让他每节课开始前对齐你的 unknow unknows ,结束后准备一些小quiz确保你真的懂了他的内容

[Alan杨哲 @MeshachAlan]

fable5真好用啊，比如说可以一个shell对应一个project，然后一条一条issue来过，做完之后给我quiz，确保我的掌控感

[Alan杨哲 @MeshachAlan]

@nini_incrypto_ 我还以为你已经财富自由了

[Alan杨哲 @MeshachAlan]

@aliromman @karpathy 没这么冷静

[Alan杨哲 @MeshachAlan]

@deepugami let's see what is going to happen

[Alan杨哲 @MeshachAlan]

@goodhunt 笑死了，好幽默鲸鱼兄弟

[Alan杨哲 @MeshachAlan]

@Yukiii__09 09都这么大了吗