阿探｜Crypto × AI

用 AI 做 Crypto 研究，也研究 AI 本身。
项目拆解 · 工具实测 · 链上观察
分享方法、证据和踩坑记录。少点叙事，多点验证。

[阿探｜Crypto × AI @AtanWeb3]

@DrPengShen @WaterdropIR @Columbia 老板，这是英文号吗？

[阿探｜Crypto × AI @AtanWeb3]

@jojeangsaing 你的生活费多少，我看能不能包了你

[阿探｜Crypto × AI @AtanWeb3]

能重构 10 万行代码的 AI，居然让你走路去洗车。

人走到洗车店了，车还在家里。这个 AI 笑话，连 @karpathy 都拿出来讲。

今年 2 月，一道「50 米洗车题」让不少 AI 翻车：
“我想洗车，洗车店离家 50 米，应该开车还是走路？”

AI：走路，近，还环保。
人是到了，车呢？

Karpathy 在访谈里，也拿这件事吐槽：同一个模型，能重构庞大的代码库，却会漏掉这种常识。

但我觉得，笑完之后，更值得想的是：
我们会不会拿 AI 最蠢的一次，直接判断它全部的价值？

他最近又发长文提到：一个用一段话就能回答的问题，几乎没让系统真正使上劲。
这点我挺认同。
https://t.co/9MYFu90Wia

你一直想做、却一个人做不动的那个项目，值得拉它一起试试。

我的态度：活可以大胆交，判断得留在自己手里。

AI 有多蠢，很容易截图证明。
AI 对你有多大用，得拿真任务去试

[Andrej Karpathy @karpathy]

Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel.

- Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all.
- Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract.
- Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code.
- And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while.

The funnel is driven by a combination of factors:
1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel.
2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel.
3. Access. Free-tier, paid-tier, internal.

So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.

[阿探｜Crypto × AI @AtanWeb3]

@GretelHans26277 @binancezh 粉了

[阿探｜Crypto × AI @AtanWeb3]

各位浇友们

这里有个小窍门
就只需要一步
能增加你日后的创作者收益 100+%

币安广场一定要同步运营起来
就是把推特的内容在币安广场同步发一份
tips：好像只要关联了推特的话会自动关联发布到币安广场

觉得分析的对的
可以在币安广场互关一手，下面是我的账号
https://t.co/xCzDhFOb3p

@binancezh
#浇友 #币安广场 #币安

[阿探｜Crypto × AI @AtanWeb3]

@Duiady 怎么做到的？

[阿探｜Crypto × AI @AtanWeb3]

@DiuEric 你们这些图是哪里来的

[阿探｜Crypto × AI @AtanWeb3]

@KhalilZhengg 哥，评论回复的浏览量好像不计数的

[阿探｜Crypto × AI @AtanWeb3]

@JackSteve6uh 是的

[阿探｜Crypto × AI @AtanWeb3]

朋友们
你们都是手动给出摊的嘛？

我这两天在研究能不能自动化出摊

方案一是对接API，用了一下我感觉会限流，不敢用了

我还有一个备用方案就是用codex定时任务，自动找朋友+互动
不过还没开始试呢

有没有有经验的，出来交流一下

[阿探｜Crypto × AI @AtanWeb3]

@JohnnyCashBump @binancezh 嗯，你的文笔很高

[阿探｜Crypto × AI @AtanWeb3]

@AetrixEmby @binancezh 是吧，你怎么做的自动化？一起交流一下

[阿探｜Crypto × AI @AtanWeb3]

@JackSteve6uh 浇起来

[阿探｜Crypto × AI @AtanWeb3]

今年上半年，OPC 一人公司火得央视都报道了好几次。

这群人，是不是都转战来 X 摆摊了？😂

“蓝 V 互关”
“有关必回”
“来串门，浇朋友”

开个蓝 V 算开张，发条推文算出摊，互关互评算街坊之间互相捧场。

一个人兼老板、运营和迎宾。
每天盯着曝光，盼着创作者收益到账。

以前聊一人公司，想的是 AI 干活，自己收钱。
现在打开 X：兄弟，今天浇了吗？

笑归笑，也挺能理解。

谁不想在工资之外，再折腾出一点收入。
哪怕起步只是下班后守着一个小账号，等它慢慢有点起色。

浇的是朋友，盼的是自己的小生意能发芽。

#OPC #一人公司

[阿探｜Crypto × AI @AtanWeb3]

@DearHua2025 谢谢，懂了

[阿探｜Crypto × AI @AtanWeb3]

@DearHua2025 付什么款？老哥

[阿探｜Crypto × AI @AtanWeb3]

@binghe 不可以直接买vps吗？

[阿探｜Crypto × AI @AtanWeb3]

@Ddd5vpr 有需要随时联系

[阿探｜Crypto × AI @AtanWeb3]

@kenken123v 会有的，一起加油

[阿探｜Crypto × AI @AtanWeb3]

让我的推文火一把
多来几个新的摊友

因为我的时间线看不到新的朋友了
全是老朋友
#浇朋友