kopever
49 posts


Chief… we owe you a big apology.
We need to go into maintenance one more time, expected downtime is 45 to 50 minutes.
This fix requires a full Legend League reset:
➡️ All Legend I players will be reset to 5000 trophies
➡️ Previous day’s stats will be wiped
➡️ Any attacks already used will be reset
➡️ Players who sign up after the new season starts will have all 8 attacks available
You’ll be matched with the same opponents again after the reset… so yes, if that last attack didn’t go as planned, this is your redemption arc.
We know this is far from ideal, and we’re really sorry for the disruption. We’ll be sending out compensation to everyone later.
Thanks for sticking with us, Chief. Clash On!

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kopever retweetledi

新年第二提醒:但凡你是个人,不论是啥JB人,一定要第一时间把电脑装上杀毒软件(推荐 @AVGFree @Bitdefender @kaspersky @Malwarebytes 等国际知名的),否则等到出问题时在看,都晚了。
23pds (山哥)@im23pds
新年第一提醒: 但凡你是个项目方,不论是啥JB项目,一定要第一时间把服务器(EC2)装上 HIDS,否则等到出问题时在看,都晚了。
中文
kopever retweetledi

New 3h31m video on YouTube:
"Deep Dive into LLMs like ChatGPT"
This is a general audience deep dive into the Large Language Model (LLM) AI technology that powers ChatGPT and related products. It is covers the full training stack of how the models are developed, along with mental models of how to think about their "psychology", and how to get the best use them in practical applications.
We cover all the major stages:
1. pretraining: data, tokenization, Transformer neural network I/O and internals, inference, GPT-2 training example, Llama 3.1 base inference examples
2. supervised finetuning: conversations data, "LLM Psychology": hallucinations, tool use, knowledge/working memory, knowledge of self, models need tokens to think, spelling, jagged intelligence
3. reinforcement learning: practice makes perfect, DeepSeek-R1, AlphaGo, RLHF.
I designed this video for the "general audience" track of my videos, which I believe are accessible to most people, even without technical background. It should give you an intuitive understanding of the full training pipeline of LLMs like ChatGPT, with many examples along the way, and maybe some ways of thinking around current capabilities, where we are, and what's coming.
(Also, I have one "Intro to LLMs" video already from ~year ago, but that is just a re-recording of a random talk, so I wanted to loop around and do a lot more comprehensive version of this topic. They can still be combined, as the talk goes a lot deeper into other topics, e.g. LLM OS and LLM Security)
Hope it's fun & useful!
youtube.com/watch?v=7xTGNN…

YouTube

English
kopever retweetledi

惊讶的发现,Ahrefs 这个 SEO 入门教程居然有中文翻译版本,哥飞之前都没发现,一直用的沉浸式翻译来看的。
推荐大家都看看这个教程,内容不多,才7篇文章,但是足够入门了解SEO了。
ahrefs.com/zh/seo
中文
kopever retweetledi

@lilaoshizuikeai 不太认识这个人,偶尔看到过他发的推文,有一些印象,属实不喜欢那种随时都能感觉到他的情绪的文字,几分钟之前刚刚取关了他就刷到这条推了,感觉很神奇。
中文

kopever retweetledi
kopever retweetledi

GPT-4已经改变了世界。
1. 编程。
codium.ai
2. 无需编码建站
framer.com
3. 设计
uizard.io
4. 会议
tldv.io
5. 简历
rezi.ai
6. 博客
copymatic.ai
中文

Now I'm using github.com/abiosoft/colima, but this is worth a try. github.com/orbstack/orbst…
English
kopever retweetledi

今天读到的很有启发的一篇文章:
vadimdemedes.com/posts/generati…
开源项目怎样盈利?
来自 Ink 的作者,Ink 是一个React CLI 工具,提供在 CLI 中写 React 组件的能力。Stars:23.5K
如果各位有知名的开源项目的可以参看一下,干货非常多,各种例子和数据,操作性很强,建议收藏好好阅读下:
不好使的方式:
* 个人捐赠
* 希望得到大公司捐赠 等各种用爱发电的方式
* 太要脸,认为没人会支付你的产品或者不好意思提供收费方式
好用的方式:
* 卖商业许可
* 高级功能收费
* 服务托管(Hosted version)
* 后续维护收费
* 后续技术支持收费
中文

StackOverflow is down too🥲
Workflowy@WorkFlowy
Workflowy is down at the moment. We're working on it.
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