Lin

[Lin @Lin_lynnniceee]

@aronhouyu 还有一句话我觉得特别经典
在中国再众所周知的事情，都还有一亿人不知道，但更多时候是十亿人不知道

[Lin @Lin_lynnniceee]

@aronhouyu 不反驳你的观点全是错误的还是对的，只能说你只是客观中的一面。
生财当中绝大部分人都属于个体户或者小微创业者，这是用户画像。
那多少人接触过墙外呢？多少人真的接触过互联网相关项目呢？
所以我认为生财只不过是师傅领进门，能不能赚钱，修行就在个人了。
赚钱，首先打开认知很重要，生财就是口子

[Lin @Lin_lynnniceee]

@daitu0822 你的推理是正确的，确实存在类似的情况

[Lin @Lin_lynnniceee]

@BitcoinIntelX DUO

[Lin @Lin_lynnniceee]

牛顿的棺材板这下真的按不住了哈哈哈哈哈哈哈哈哈哈哈😂

[陳威廉 @williamlab]

太离谱了。。。

[Lin @Lin_lynnniceee]

嘿，巧了，我会拉黑一切用“说个暴论”，或者用包含“暴论”为开头的傻逼帖子和傻逼作者

[亦仁 @yiren_ai]

要对自己的信息流绝对苛刻，那些明星大佬再厉害，如果持续发的都是对你没价值的信息，也要果断取关并标注“此帖子不感兴趣”。

[Lin @Lin_lynnniceee]

归来任是十八岁，我酸了🥲

[nathan chen @nathancgy4]

life update: I've recently left @Kimi_Moonshot!

The past year at Kimi has been the best of my life so far. I'm deeply grateful to have worked with and learned from such amazing and supportive colleagues.

Some of my favorite memories include (in chronological order): optimizing KDA's kernels and trying every design possible with @yzhang_cs; coming up with and refining Attention Residuals with @yzhang_cs @Jianlin_S; working on optimizers, which by far taught me the most about training dynamics (and where I pulled the most all-nighters); creating the cases for K3's release with @yzhang_cs @Xinyu2ML while watching the World Cup; and more, and more.

Quoting my earlier tweet about Kimi K3’s release: it is truly incredible to have built such an open (and strong) model with a group of genuine people.

My days at Kimi are memories I'll forever cherish... thanks for everything! (especially @Yulun_Du for believing in and hiring a 16yo back then :P).

More things to explore :) 🫡

[Lin @Lin_lynnniceee]

@portertech 没什么不一样，只是一群没来过 X 的人达成共识，所以说是风口

[Lin @Lin_lynnniceee]

@ll1460323214 @MrQin_BTC 每个地区财务政策都不一样，最开始我们也是只有一千多，慢慢加上来的。

[Lin @Lin_lynnniceee]

这些日本鬼子在万圣节的时候就没有更优秀的产品拿出来卖了么？

[Lin @Lin_lynnniceee]

@JhonDennisxiud 还处于顶尖红利阶段

[Lin @Lin_lynnniceee]

Karpathy

约5000人（0.00006%）：能接触内部前沿AI系统

约2000万人（0.2%）：在数学、编程工作中专业使用前沿大模型

约10～20亿人（20%）：偶尔使用免费版ChatGPT这类产品

约60亿人（75%）：几乎没接触过大模型

[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.

[Lin @Lin_lynnniceee]

另外：Codex 两次重置，两张重置卡，62500 额度，真不知道怎么用掉🥹
​
OpenAI ​早点发布更强产品力的模型吧。😭😭

[Lin @Lin_lynnniceee]

自从使用了 opus 5.5 的有效 token 之后，现在我甚至连 20 美金的周额度都用不完。
​
​遵从指令指哪打哪，这种感觉第一次是在没降智的 GPT6Astra 上感受到。
​
​之前一月上百亿的 token 看着多，实际上多是被模型没有效率在浪费[捂脸]
​
​现在我依然追求花更多 token
​但核心保持的还是 token 效率

[Lin @Lin_lynnniceee]

以前我认为逆向工程是顶级程序员才能干的活，我一直觉得遥不可及。甚至我要用 AI 去做逆向的时候，有时候也会遇到很多的阻碍，直到我遇见了 REA。
这一切都改变了。
https://t.co/X2aErECOvp

[Lin @Lin_lynnniceee]

@daitu0822 @Bybit_ZH 3 个月x 会员还有么

[Lin @Lin_lynnniceee]

@LotusDecoder @thsottiaux 很经典的偷换概念
我去大爷家玩不要给钱
但 OpenAI 要收我 200 美金

[Lin @Lin_lynnniceee]

我有理由相信@DarioAmodei 是一个绝对种族歧视的人，它歧视亚洲人，它歧视黄种人，不分由来，所以导致封禁大家的 Claude 账号也变得蛮横无理！无理由封禁！而且还不给退款！@DarioAmodei就像是@netanyahu一样屠杀无辜的加沙人民搬屠杀黄种人的账号！不可饶恕！愿真主惩罚@DarioAmodei

[Lin @Lin_lynnniceee]

@yiren_ai 恭迎老祖！