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Many fans asked me how they could not miss out on important developments in the AI ​​field since information is updated so quickly.

Muzi, how did you learn AI knowledge?

As someone who has been working in the AI ​​circle for many years, I decided to make my intelligence network completely public this time .

I spent a full three days sorting out nearly a hundred AI information sources, including YouTube podcasts, newsletters, Twitter, WeChat public accounts, etc. that are worth paying attention to. I

shared them all with everyone . Each one is a high-quality free resource that I have personally verified to help you save a lot of screening time . Are you ready?

. Are you ready?

Let's get started.

If you are learning AI but don't make good use of YouTube , you may have missed at least 90% of the high-quality resources.

Do you still think that YouTube is just for entertainment and that you have to read books to learn new knowledge ? No no no no noIn

? No no no no noIn the field of AI, where technology iterations are calculated in weeks, textbooks are often outdated before they are even published.

So when it comes to learning AI, YouTube has two irreplaceable advantages: real-time synchronization of cutting-edge industry trends and visual, intuitive and easy-to-understand technical demonstrations.

Next I 'll share a few high-quality AI bloggers that I follow.

First is fireship.

He can explain AI knowledge more excitingly than a talk show, and with just the right amount of memes, he can make you remember a technical concept that should have been boring in 5 minutes . If you want a more systematic industry perspective

5 minutes . If you want a more systematic industry perspective , he will use investor-level insights to break down technology trends every day . This blogger

. This blogger is a former Tesla AI director.

His videos on the principles of large models are very clear, so even if you don't understand the code , you can still understand them. If you like lighter learning, by cloud is the three-minute movie in the AI ​​world, turning obscure papers into knowledge fast food that can be digested by watching short videos.

There is also the three blue one brown teaching series, which is the most intuitive AI visualization tutorial I have ever seen.

For entrepreneurs, each video in this channel is a monetization case that can be directly implemented.

As for friends who want to switch to AI engineering, former meta engineer Tina Huang's tutorial is like the task guide in the game, teaching you how to do AI projects step by step. Of course, if you find the above AI English channels a bit difficult to listen to , you are welcome to follow me.

I like Muzi AI Research Institute. It

combines basic theories with actual tool demonstrations.

Even if you are an AI novice with no foundation , you can understand complex concepts in seconds . In addition,

seconds . In addition, I will teach you step by step how to use the latest AI tools to build a side business , become your own super individual, and monetize it . If you want to learn more,

monetize it . If you want to learn more, there is also my AI Business Practice Strategy Course that can help you master it in depth.

However, watching YouTube videos always requires full concentration , but I don't have so much time .

What should I do ? I think podcasts are a good complement. Podcasts

? I think podcasts are a good complement. Podcasts

are a type of program that mainly uses audio, similar to radio stations.

You can subscribe to channels through Apple Podcasts, Spotify, and Xiaoyuzhou.

I myself have been listening to podcasts for more than ten years.

Compared with YouTube videos, I think podcasts are more suitable for fragmented learning.

You can listen to them while commuting, exercising, or doing housework, without relying on the screen.

Next, I will share with you a few podcasts about AI.

Let's start with two English podcasts that focus on depth and technology.

Lex Fridman This MIT researcher in the podcast invites top figures in the industry.

Their conversations not only cover technical details , but also explore philosophical questions such as whether AI will have consciousness. 20VC This podcast looks at the AI ​​industry from the perspective of investors.

For example, 90% of AI startups cannot get investment.

Where will the next outlet be?

These practical suggestions are very useful for entrepreneurs . However, these two are more technical.

. However, these two are more technical.

If you want to be more relaxed, you can listen to the all-in Podcast.

It is hosted by four Silicon Valley investors. They

chat about technology gossip like friends , and it contains a lot of information.

If you are an entrepreneur, you can't miss this podcast.

They will share the practical experience of top entrepreneurial incubators.

Many reviews of failed cases are particularly valuable.

However, you may say that listening to English podcasts is too difficult, and these podcasts are often several hours long and contain too much information , which is a bit strenuous.

Don't worry about it.

First of all, you can use this website to read the summaries and transcripts of some popular podcasts . You can choose Chinese language here.

. You can choose Chinese language here.

In addition, Pod wise is also a very useful AI knowledge management tool.

It can also summarize and even generate mind maps with one click.

Many popular podcast channels are actually included here, or you can directly copy the podcast link.

Of course, listening to Chinese podcasts is the most convenient.

I also recommend a few here.

First, the host of Silicon Valley 101 will conduct in-depth interviews with guests such as Openai researchers and Stanford professors, and also provide comparative perspectives on the Chinese and American markets . Crossroads

. Crossroads focuses on AI entrepreneurship and investment.

If you want to enter this field, the know-how of this industry can help you avoid many detours. What

about Chapter 42 ? This one

? This one focuses more on strategic thinking.

The forward-looking views of the guests can often predict technological turning points in advance.

What about technical practitioners?

I recommend Silicon Valley Awakening FM , which is a rare in-depth analysis of AI. The program about agent technology, Hard Hacker, is more down-to-earth and teaches you how to fine-tune the model at low cost or build an AI customer service system from scratch. It

is especially suitable for independent developers . From a business perspective,

. From a business perspective, business is like this: use 30 minutes to explain a business model thoroughly.

For example, how does ChatGPT make money ? Later , we will talk in depth about product design logic

? Later , we will talk in depth about product design logic and reveal the story of AI products from 0 to 1.

Finally, the Technology Early Knowledge series uses the perspective of a media person to tell technology stories, which can help you establish a more global cognition.

However, although YouTube and podcasts are very good , to be honest, facing a large number of updates every day , don’t you often feel suffocated by information overload?

This is when AI newsletters can come in handy.

Simply put, it is like having an industry expert regularly help you screen information and directly package the essence into your mailbox.

But there is one thing to note.

At the beginning, I subscribed to more than a dozen newsletters at once.

As a result, I opened my mailbox every day and saw more than 20 unread emails, which made me collapse.

In the end, I didn’t read any one and read all of them with one click.

So remember that the key to reading newsletters is persistence rather than greed.

Instead of subscribing to a lot and never opening them , it is better to select two or three.

To really stick to reading, I suggest that novices must subscribe to the rundown AI.

It is like a daily selection of AI information . It will organize the most important

. It will organize the most important industry news and popular tool recommendations every day.

You can finish reading it in 10 minutes . When you feel that this amount of information is not exciting enough

. When you feel that this amount of information is not exciting enough , you can slowly add other high-quality subscriptions, such as Professor Andrew Ng’s Newsletter.

The team of this AI expert will provide authoritative technical interpretations and industry insights.

Next is Twitter . What is different from the previous channels is that

. What is different from the previous channels is that Twitter is more social.

If you want to directly track the thinking process of AI experts instead of waiting for others to organize their views, Twitter is almost an irreplaceable channel.

Next Muzi will share a few accounts worth following.

First of all, of course, are the official accounts of major AI companies.

These are some of the mainstream companies I listed.

Once there is any update, their accounts will almost be released as soon as possible.

Then there are some technical experts and Scientists often share their insights and feelings on it . If you want to learn about business and entrepreneurship,

. If you want to learn about business and entrepreneurship, the sharing of these CEOs or investors is very worth paying attention to . If you have a WeChat account,

. If you have a WeChat account, there are actually a lot of treasures in the official accounts.

Next, I will share a few high-quality AI official accounts that I must read every day.

The two top accounts, Quantum位 and Synced, are the first . They are like the news agency of the AI ​​information industry.

. They are like the news agency of the AI ​​information industry.

The update speed is amazing.

From the latest paper interpretation to AI tool evaluation and interviews with industry leaders, they can basically cover all the content you want to know.

If you want more comprehensive technology information, APPSO is a good choice.

If you want to learn the skills of prompt words, Li Jigang’s official account is definitely worth paying attention to.

If you are interested in enterprise-level content, you can read AI Frontline and AI Technology Review.

They focus more on industry trends and in-depth technical interpretation.

If you are an entrepreneur, you can follow founder park focuses on reporting AI startups and commercial application cases.

Finally, I recommend GitHub Daily to technology enthusiasts.

He often shares many popular AI open source projects.

In addition to passively receiving information, it is also very important to find like-minded AI communication communities during the AI ​​learning process .

Maintaining communication with the community can often help you avoid many detours.

Today I want to recommend several high-quality AI developer communities at home and abroad.

Whether you want to discuss technology or find high-quality open source projects, these places can help you.

First, look at the international community.

The three major sections of machine learning, deep learning and artificial intelligence on Reddit are gathering places for many AI practitioners.

Here you can find the latest papers discuss technical issues, ask for help and even career development suggestions.

Hugging is very rich in content.

Face is the world's largest open source AI community.

Here, you can not only find various pre-trained models , but also exchange experiences with developers from all over the world . For China,

. For China, the MoDa community is definitely the first choice . It has become China's largest AI model platform.

. It has become China's largest AI model platform.

At present, there are more than 70,000 open source models that have attracted more than 16 million developers.

Next, I will share some of the most practical AI tool navigation websites at home and abroad.

They are like search engines in the AI ​​world, which can help you quickly find the most suitable AI tools.

First of all, you should look at the top international navigation sites.

This is currently the world's largest AI tool library, which includes more than 5,000 tools and is updated every day.

Its most practical function is that it can be filtered by category, price and language, which is especially suitable for accurate search.

Product Hunt is a good place to discover new tools.

The latest AI products are launched here every day , and there are community voting rankings.

There's an AI for that.

The feature of this website is to search by scene, covering more than 200 sub-fields.

There are also several very good navigation sites in the Chinese field .

The AI ​​product list should be the most comprehensive one in localization.

It only includes overseas tools and provides Chinese reviews . It will also launch AI tool combination packages for recommendation

. It will also launch AI tool combination packages for recommendation , such as a tool set designed specifically for self-media creators.

AIbot takes a minimalist route and can quickly reach mainstream tools.

Finally, there is way to AGI is quite special. It is

not only an AI tool navigation station , but also an open source knowledge base and community platform.

It is built in the form of Feishu documents by AI experts and enthusiasts. It is especially suitable for people who want to learn AGI in depth.

Finally, if you want to learn AI knowledge systematically , online courses are a good choice.

Not only can they help you build a solid theoretical foundation, but you can also obtain industry-recognized certificates after completion, which is also very helpful for your career development.

First of all, I recommend Google's AI Essentials course . This course, taught by Google AI experts,

. This course, taught by Google AI experts, only takes about 10 hours to let you master the basics of AI.

The most practical thing is that it will teach you how to design effective prompts.

In 2025, prompt engineering can be said to be one of the most practical AI skills.

Professor Andrew Ng's AI for everyone is especially suitable for learners with non-technical backgrounds.

This course will help you understand the basic concepts of AI, such as the actual meaning of machine learning and deep learning. More importantly,

it will teach you how to find AI application opportunities in your own work.

IBM's AI foundations for everyone is another good choice.

You don't need any programming knowledge to understand the application scenarios of AI in various industries. Finally,

there is a practical project to build and deploy an AI customer service robot by hand, and you don't need to write any code at all .

Finally I also recommend Microsoft's AI skills 4 This is an introductory AI course designed specifically for women .

It covers basic knowledge, practical cases, and ethical thinking.

Completing this course not only earns you a certification badge, but also scholarships and a three-month advanced study program for those who excel.

Hearing this, are you a little confused ?

With so many sources of information and such a large amount of information , how should I process and learn?

I think that in the ever-changing field of AI, finding an efficient learning method is more important than learning itself.

After my own exploration, I have also found a set of effective learning methods, which I will share with you here.

The first is to cultivate the habit of deep learning.

Many people...

I think watching videos is just entertainment , but in fact, watching a high-quality long video in its entirety may bring you more benefits than reading a few chapters of textbooks.

So you should watch these AI videos with the spirit of attending classes , and you may even need to take notes while watching.

Second, make good use of AI to assist learning.

Sometimes when you are reading these AI information and encounter some professional vocabulary that you don’t understand, don’t rush to skip it . Just open ChatGPT

. Just open ChatGPT or deepseek, these big AI models, and ask them to explain these professional terms to you in a straightforward way . You will find that the cost of learning has been reduced at once.

Third, practice immediately after learning.

I will set aside half an hour every day to sit in front of the computer and study attentively.

When I see new tools or new technologies, I will try them out as soon as possible.

Don’t be too ambitious and forget the knowledge if you don’t use it.

Fourth, establish a tracking mechanism. When I

find products or experts worth paying attention to , I will study all their information in depth and even watch all the related interviews to understand the story behind the product.

Fifth, build a knowledge management system.

In the face of massive amounts of information, I highly recommend that you use knowledge base tools. Local tools are also

base tools. Local tools are also fine, or web applications like NotebookLM are also very good.

They can help you organize learning materials in various formats, and can also use AI for summary and translation.

I have previously published an issue on how to make good use of Notebook I highly recommend you to watch LM 's teaching videos . Recently,

. Recently, Notebook LM also supports Chinese podcast transcription.

Finally, remember that AI will not replace humans , but humans who can use AI will definitely replace those who cannot use it.

Put new knowledge into practice immediately so that you can truly keep up with this rapidly developing field.