Why you NEED to be running local AI models (FULL beginners guide)
FULLSTÄNDIGT TRANSKRIPT
I'm about to show you the future of AI,
AI agents, and Open Claw. Over the past
2 months, I've spent over $50,000 to
use, test, and learn about local AI
models. What I learned, I think, can
dramatically change your life and save
you tons of money, even if you're on a
cheap computer. You don't need to buy
Mac Studios like me. In this video, I
will cover everything local AI models.
I'll cover what computers you need, what
local AI models even are, which models
you can run, what use cases you can do
today, and how this lets you use Open
Claw completely for free. I'll also show
you a glimpse of the future that I am
100% confident is what's going to
happen. By the end of this video, you'll
be a local AI master, and you'll be
running your own local super
intelligence on your computer. So, let's
lock in and get into it. So, this might
be my most important video yet. I'm so
excited to take you through what I've
learned over last couple months. Even if
you have no idea what local AI models
are, you're going to get so much out of
this video. So, let's start off with why
local AI is so important and why you
need to be using it. This is what you're
probably doing today. If you're on
ChatGPT or Claude or using any of the AI
frontier models that everyone knows
about, you're using a cloud model. That
means you're using AI that are running
on these big servers that might be
underground or one day in space because
of Elon or might be on an island. But,
because you're using these models that
are running on these servers, that means
a lot of different things. One, it's ex-
pensive. You're paying for every token
you use. Every time you send a prompt to
these servers, it's doing a bunch of
calculations, and they're charging you
for each one of those calculations.
These are where these massive API bills
are coming from. These are where the
$200 month subscription plans are coming
from and all your API usage. It's very
expensive to be running AI models on
these billions of dollars of chips. It
also has many other downsides, zero
control. A lot of people complain all
the time they feel like their AI models
are getting stupider. In reality, they
probably are. These AI companies are
constantly dialing the knobs and
changing things to try to save money.
You have zero control over the AI models
running on these servers. You have zero
privacy. Every message you send to
ChatGPT or Claude or Gemini or any AI
model you're using on the cloud, those
employees can read those logs. Nothing
you say is private and secure. Every
question you ask about your health or
maybe if you're a sicko and you have
your own AI girlfriend, they can read
all of those messages you're sending.
It's also laggy. You need to be
connected to the internet. If you don't
have great internet, it can take a while
to get your prompt sent there and sent
back. So, there's a high latency. And on
top of that, it's just not scalable. A
lot of people been learning this lately
with open claw. Maybe you connected to
Opus 46 API, you send a bunch of
prompts, you look at your API bill and
whoops, you spent a thousand dollars
over the last day cuz you sent a bunch
of prompts. It's not scalable at all.
And if you want super intelligence
working for you 24/7, it's going to cost
you millions of dollars. But, with all
that being said, you do get one benefit,
which is you get frontier AI. You're
getting the best AI models, they're
running on these servers, and you're
getting the best performance. That is
probably what you're used to today. But,
where I strongly, strongly believe the
future is going and what I actually
believe you will be doing in the next 12
months is you will be using local AI
models. What are local AI models? These
are AI models instead of all these
complex multiplication equations
happening on servers across the world,
they're happening locally on the Mac
mini on your desk or the Mac Studio or
the old dusty Lenovo laptop, whatever
you're using, the models run locally.
And that has a tremendous amount of
benefits. First of all, it's completely
free, right? You're not paying for
tokens. It is just the cost of the
electricity going into the computer you
have plugged into the wall. It's fully
customizable. If If you want to take a
local model and make it sound like you,
or make it rap like Kendrick Lamar, you
can do that. They are fully
customizable. It's also fully secure and
private, so every message you're sending
to your local AI running on your
computer on your desk stays on your
computer. It does not go to the
internet. Nobody can read your prompts
or your messages back and forth. If you
want to get freaky deaky and make your
own AI boyfriend or girlfriend, you can
do that and no one will read those
messages. Not that I would know anything
about that. But also, zero latency.
There is no messages going to the
internet. It's all staying on your
device, so you literally can unplug this
from the internet and the AI would still
work. You can be on an airplane, vibe
coding to your heart's content, and it
doesn't matter because there's no
internet. It's all local on your
computer. And here's the best part.
Here's why I'm bought in, and here's why
I think everyone will be using local AI
in the next 12 months. Because it's
local, because it's free, it is
extremely scalable, which means you can
have AI doing work for you 24/7 365. I
have right now, and I'm going to demo
this later in the video, so make sure to
stick around for this. I have right now
four local AI models doing things for me
continuously, going on the internet and
scraping websites, writing me content,
writing me newsletters, writing code for
me, just doing things at all times of
the day. It's like I have multiple
employees working for me. This is an
advantage I have over all of my
competition because they are not running
local AI models. And if you do the
things I'm about to show you in this
video, you will have the same crazy
advantage over everyone else in the
marketplace as well. That's why it's
super critical to stick here till the
end. Now, the one downside, what's the
one downside of all of this? Local
models aren't quite as smart as the
frontier models. I'd say they're about 6
months behind at all times. So, so 6
months ago was like Opus 4.5, Sonnet
4.5, around that realm. The local models
are about there. Now, if you think back
to 6 months ago when Opus 4.5 came out,
it absolutely blew people's minds. So,
we're still we're at that point when it
comes to local models. So, it's still
really, really strong. So, that brings
us to our next point, which is what
computers do you need? Do you need to
run out and buy $50,000 worth of Mac
Studios and DGX Sparks like me? Well,
the answer to that is no. You can
literally run local models on any
computer you have. So, if you have an
old crappy laptop in your closet from
like college or something, you can take
that out and run local models. If you
have the new $600 Mac Mini that everyone
was running out and buying a few months
ago, you can run local models on that.
That was a very good purchase. Now, are
the models you're running on these
cheaper, smaller machines going to be
Opus 4.5 level? Well, no, but there's
still use cases you can run. You can
still do things like memory management
for your open claw. Having a very small
local model deciding which memories get
loaded into context for your open claw
or your AI agent or whatever is still a
really powerful use case that you can
run on your $600 Mac Mini. And I'll go
through the exact models you should be
downloading for each device in a second.
But, even if you have these old dusty
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