How I learned AI from YouTube (more practical than Harvard)
By Zara Zhang
Summary
## Key takeaways - **YouTube beats Harvard for practical AI skills**: Despite a Harvard degree, the speaker acquired practical AI knowledge primarily through YouTube, highlighting the platform's accessible and high-quality educational content. [00:04] - **Learn AI from founders via video podcasts**: In-depth interviews with AI founders and builders on video podcasts offer firsthand information and visual demos, proving more effective than secondary interpretations. [00:29], [00:41] - **Free AI conference talks replace in-person events**: Watching recorded AI conference talks on YouTube is more effective and accessible than attending in person, offering wisdom without the cost or time commitment of travel. [01:32], [01:44] - **Direct access to OpenAI and Anthropic insights**: Official channels of AI companies like OpenAI and Anthropic provide primary source information through launch videos and researcher interviews, crucial for understanding their models. [02:15], [02:38] - **Hands-on AI tutorials for non-coders**: Tutorials on AI tools translate complex concepts into simple, step-by-step instructions, enabling individuals without a technical background to learn AI coding and build products. [02:46], [03:00] - **Andre Karpathy: The ultimate AI educator**: Andre Karpathy's deep dives, particularly on LLMs, are considered the best internet resources for understanding AI, offering clear explanations of technical concepts for any learner. [03:26], [03:44]
Topics Covered
- Why video podcasts with AI founders are essential.
- Why online conference talks surpass live attendance.
- Hands-on tutorials are essential for building AI products.
Full Transcript
I got my bachelor's degree from Harvard
University, but I got all my practical
AI knowledge from YouTube University.
The abundance of free, highquality
knowledge about AI on YouTube is just
amazing. You can turn the world's
leading AI practitioners into your
personal on demand tutors. You just need
to follow the right people. Today, I'll
talk about the specific channels and
videos that I found to be the most
useful on my AI learning journey. These
are the types of channels or videos that
I've learned the most from. Let's dive
into each. The first type is video
podcasts with AI founders or builders.
These are in-depth interviews with
industry practitioners who work at AI
companies or have built AI products
themselves. Here's a specific list of
shows that I recommend. This is
firsthand information because you're
listening to the founders themselves
speak rather than someone else
interpreting what they said. For
example, the founder of Cursor appeared
on Lenny's podcast to talk about the
future of AI coding. and the founder of
the browser company appeared on every
podcast AI and I to talk about their
journey building the AI browser DIA.
These podcasts are often hours long and
you can also find them as audio versions
on podcast. But I prefer to watch the
video versions because of three reasons.
First, they often include demos of AI
products or visual information and
you'll be missing out on these if you
are just listening to the audio. Second,
these podcasts have very high
information density and it's easy to get
distracted when listening to audio. I
find myself being able to focus and
absorb a lot better when watching the
video version because it's a lot more
immersive. Three, I often find myself
wanting to take notes when watching
these and it's much easier to take notes
when watching a video. The second type
of videos is talks at AI conferences by
industry leaders. Here are five specific
conferences that I recommend and all of
their sessions are recorded and
available for free on YouTube. Honestly,
I hardly attend offline conferences
these days because I found it to be much
more effective to just watch the talks
on YouTube in the comfort of my own
house. For example, Andrew gave a talk
at YC's AI startup school recently that
I found to be really insightful. The AI
engineer world's fair is probably the
best conference for AI engineers with an
absolutely insane list of speakers,
including OpenAI co-founder Greg
Brockman. Take advantage of these videos
because you don't need to purchase
expensive tickets to attend the
conferences. You don't need to take the
time to physically be there. Just absorb
the wisdom from the online recordings.
The third type is the official channels
of OpenAI and Anthropic. Whenever they
launch new models or products, I make
sure to watch the original launch videos
because this is firsthand information.
They also have podcast and shows where
they interview their leaders or
researchers. For example, OpenAI
recently released a podcast with Sam
Altman and Anthropic has videos where
their researchers discuss how to build
AI agents. A lot of people talk about
OpenAI anthropics models and products,
but I've always found it helpful to go
back to the primary sources to listen to
the builders themselves. The fourth type
is hands-on tutorials on AI tools. This
is particularly helpful if you want to
get into VIP coding or start building AI
products yourself. I don't have a coding
background, but I've learned a ton about
VIP coding through watching the
following YouTube channels. They do an
amazing job translating technical
concepts into layman language and they
literally walk you through these tools
step by step and are very easy to follow
even for people without technical
backgrounds. For example, I recently
followed this tutorial by McKay Wriggley
on how to connect cloud code to the
note-taking app Obsidian and I was able
to follow through every single step.
Make sure to not just watch but also
follow along and get your hands on these
tools at the same time. The fifth
category is literally just Andre
Karpathy. Anyone who's serious about
learning AI needs to watch Andre's
videos. He's not just a wellestablished
AI researcher, but also a world-class
educator. I found his deep dive into
LLMs like CHBT to be the best resource
on the entire internet to understand how
large language models work. He has a
talent for explaining technical concepts
in a way that anyone can understand. His
videos are hours long, but you'll find
these to be probably the most worthwhile
hours you've ever spent on the internet.
So, there you go. These are my YouTube
University curriculum for learning AI. I
truly believe that when a technological
revolution arrives, it resets the
playing field because everyone needs to
learn something new. Fancy degrees
matter less than curiosity and drive.
What you need is not an elite university
acceptance letter. is the internet
connection and the willingness to
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