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OpenClaw Explained in 12 Minutes (for beginners)

By corbin

Summary

Topics Covered

  • OpenClaw Enables Autonomous 24/7 AI
  • Cloud OpenClaw Risks Prompt Injection
  • Skip Cloud: Local OpenClaw Near-Zero Cost
  • Daemon: Always-On Local AI Spirit
  • Aries Tests Zero-Human Software Creation

Full Transcript

I'm going to explain as simple as possible what on earth open clause. And

don't worry, I'm not here to hype you up. I'm not here to give you a bunch of

up. I'm not here to give you a bunch of developer jargon. I'm going to explain

developer jargon. I'm going to explain this in plain English whether or not you should even care this exists or is this just a bunch of nerd stuff. Let's jump

in. Welcome back. Yo, let's learn about this little lobster right here. The

lobster. Open claw. Why is it called Open Claw Corbin? Because it used to be called Clawbot and Maltbot. What

happened Corbin? Because Aropic was like, "Yo, stop using our branding." And

then they switched up. They realized

Maltbot was a trash name, so they switched to OpenClaw. TLDDR of what on Earth Open Claw even is. Put simply, it is, drum roll please, drum roll please, a 247 AI assistant. Now, on the surface,

that sounds extremely lame and it sounds like we've done this before, but in reality, there is a little nuance here.

If you use Chat GBT, if you use Cloud, if you use Gemini, you know how it's like you give input and then you get feedback and it's like a chat system like texting your friend like, "Hey, what's up?" and you expect a response

what's up?" and you expect a response and then not to leave you on red, like that situation. What open claw can do is

that situation. What open claw can do is we can actually set up a system where it's autonomous where essentially it runs 247 based off original task or its own quoteunquote soul. Don't make it

complex y'all. Basically what a soul is

complex y'all. Basically what a soul is in this context like s o u l is how it behaves and interacts with its environment. For example, you probably

environment. For example, you probably have a soul or do you have a personality? That's your soul. I'm not

personality? That's your soul. I'm not

going to get too spiritual on y'all.

Just think of it like how it behaves.

Okay. So, as we know of these kind of trends, like people just blow this up and they don't even know what they're talking about. And they're like, "Oh my

talking about. And they're like, "Oh my gosh, have you not used Cloenclaw yet?

Like, you're falling behind." I

genuinely think you're not. And to be honest with you, I really only see one use case. But let's just take like a

use case. But let's just take like a very high ceiling look of how we even use this tech. Am I going to make a video of like showing you how to set up Open Claw? Possibly. But as you see in

Open Claw? Possibly. But as you see in the space, there's like thousands of tech YouTubers now that can show you how to do that. I'm here to give you a high level of like, do I even want to entertain this? So, first things first

entertain this? So, first things first is open source, which literally means it's free. I know it's kind of weird. Us

it's free. I know it's kind of weird. Us

software developers, we're nerds. We

just give stuff for free because we think it's cool and we iterate off of it. But there's two ways you can use

it. But there's two ways you can use this tech. Local, which literally means

this tech. Local, which literally means on your machine. And when I say on your machine, I mean the laptop, the desktop, like all that what you paid for like that MacBook, the Windows, whatever you

pay for like that, it can run on it if you do a local LLM. Local LLM simply a model that only expends electricity that can run on your machine. I'll explain

that a little bit more if that sounded confusing, but the point is that you can either run this on your computer, which side I know is probably the most powerful use case, or alternatively in the cloud. So, here's the situation,

the cloud. So, here's the situation, though. It's a 24/7 assistant, which

though. It's a 24/7 assistant, which means it can do things we've seen in the past. What are things we've seen in the

past. What are things we've seen in the past, Corbin? Oh my gosh. Oh my gosh.

past, Corbin? Oh my gosh. Oh my gosh.

Did you know that OpenClaw can look at your emails? Did you know that you could

your emails? Did you know that you could text OpenClaw and Telegram and like have a conversation with an AI model, go back and forth? So cool. I don't care. And I

and forth? So cool. I don't care. And I

say that not to sound harsh, but I say that because this is we could have already done this. We could have already done all this, so who cares? Like it can look at your email. It can respond to your email. This tech existed. That's

your email. This tech existed. That's

not why I care about Open Claw. So in

reality, if you plan on using Open Claw for that kind of stuff, lock in. There's

other ways to do it, but you can still do it, I guess. Like maybe long-term it has a use case, but to be honest with you, it is what it is in that situation.

Like, oh great, you have a Telegram bot.

Oh, that Telegram bot can then access your emails. Like we could have done

your emails. Like we could have done this already. So therefore, when setting

this already. So therefore, when setting up Open Claw, you have the ability to set up in the cloud. Should you set it up in the cloud if you have no development or technical experience? I

would advise no. But who cares? Do

whatever you want to do in life. Go

smoke weed, go drink, just do whatever you want to do in life. But I'm telling you from a software engineer's perspective, you probably don't want to do this. You're going to get a lot of

do this. You're going to get a lot of tutorials like, "Hey, set up your Clawadbots or sorry, the Open Claw in the cloud." The reason you don't do this

the cloud." The reason you don't do this if you have no software development experience is because of the fact that this is extremely unsecure. And one very specific pain point that I saw happening which I'm like that is sneaky. You could

set up your open claw on the cloud and then if you gave it access to your emails the emails someone literally fished a person that had openclaw access to their emails. What I mean by that is

that okay so this little AI bot has access to all your emails. Email, email,

email, email. When an email comes in, this AI model can read the email and then interact with the email if you give access to it and then respond to the email. Well, what happens when that

email. Well, what happens when that email quite literally is a what we call a prompt injection where it could take control of your computer or alternatively more likely take control of your inbox, delete your inbox, like a

bunch of crazy stuff. Now, is this a fringe case? Is this almost like fraud

fringe case? Is this almost like fraud or something like that? Yeah, like in reality, most people probably won't even know your email or even know your open claw exists. But the point being is that

claw exists. But the point being is that there is risk associated when running this in the cloud. Who cares? Risk is

life. Do it. Like, I'm not here to tell you not to do it. I'm just telling you that this is real. This is risk. You

have to ask yourself, why is open claw now existing? Why is it open source? Why

now existing? Why is it open source? Why

has no other big tech company ever released a product like this? Um,

because of the legal implications. Think

about it. I am giving you a 247 AI assistant. And I haven't even gotten

assistant. And I haven't even gotten into the very, very cool stuff about this assistant, which is you can quite literally give it access to your entire computer. Do things like screen record,

computer. Do things like screen record, do things like take images, do things like code, do things like this. Can

literally be you on your computer.

That's cool. Why hasn't this been done before? Cuz you really think some

before? Cuz you really think some company like Anthropic is going to deal with the legal implications of literally getting access to your entire private information and doing stuff with it? I

mean, they probably already do that a little bit with the clawbot, right?

Where you're just like chatting with it.

But the point is that there are certain lines that big companies will cross.

That is why a innovative thing like openclaw that happen now happen through open source because end of the day the onus of risk is on you. So if you want to be dumb and set this up in a way that you could really cook yourself, proceed.

But we'll jump into how to set this up if you actually want to use it in a secure way. Let me go over a use case

secure way. Let me go over a use case that's a real use case of this so I can give a little bit more clarification of why you should use this. So I think the powerful reason you use open claw is

using it locally. What I mean by that is that this unlocked a very big thing in the space which allows for the ability to run 24/7. Now in theory you could run 24/7 using the cloud and d I don't care.

I want to run this locally and the reason running a model locally is so advantageous is because the cost is next to nothing. And why is it when I run an

to nothing. And why is it when I run an AI model locally on my computer, I don't have to have the internet to talk to it.

Why is it next to zero? Because all

you're paying for is the electricity.

Literally the electricity to connect your laptop or desktop. That's all

you're paying for. When you use services like Claude and Chad GBT that aren't open source and you're hitting their backend, that's why it costs so much because they are premium charging you

for them to run that model. It's

literally hardware connecting to you and they get paid. There's a whole other rabbit hole I could go down to where stuff's gonna get a little crazy when it comes to the open source world where open source models are becoming better

than the paid models. But the point being, this is where Open Claw is going to excel. Local. Let me caveat real

to excel. Local. Let me caveat real quick before I jump into this little local situation cuz this is honestly the coolest part of Open Claw for me personally and where I see the real use case actually happening. Like you know all those posts like, "Oh, I bought a

Mac Studio. There's some there's some

Mac Studio. There's some there's some value there." But if you're buying a Mac

value there." But if you're buying a Mac Studio just to read your emails, what are you doing? I guess you could. It's

all levels to this, okay, y'all. I think

in reality, most people, what they say they can do now, and oh my gosh, this is a breakthrough. You could have already

a breakthrough. You could have already done it. So, let me just go over the

done it. So, let me just go over the stuff that you can't have done before Open Claw, which is a thing called a Damon. Now, this is a Greek term that's

Damon. Now, this is a Greek term that's used in software development, which basically means a software program or application or operation that is always running on your computer. A great way to

think about this is your brain. It's

always running. Whether you're asleep, whether you're awake, whether you're watching this video, always running.

This is insanely cool. Also, it comes from Greek Damon because it's like a spirit. Oh my gosh, the spirit is always

spirit. Oh my gosh, the spirit is always moving around. Like the Greeks are

moving around. Like the Greeks are crazy. I love Greeks. 24/7 Damon. This

crazy. I love Greeks. 24/7 Damon. This

is awesome. So, what this is, to put simply in this context, is an AI model that's always operationally on. Now,

this only really has real value if the model is local on your computer because as we said earlier, it is cost you $0.

Now, what is a real use case of this?

It's probably a ton, but the real use case I'm finding myself realizing and testing still is something I want to call Aries. So, what Aries is is a fork

call Aries. So, what Aries is is a fork of OpenClaw. What is a fork, Corbin? You

of OpenClaw. What is a fork, Corbin? You

know what cursor is? like you know the app builder cursor and then you know there was another app builder that was open source called VS code. So what

cursor did in the early days is they literally just took all that open source code duplicated it and called it cursor and then added layers. That's all I'm doing here. I'm taking the

doing here. I'm taking the infrastructure of openclaw and I'm adding layers and I'm calling it Aries.

What are those layers and where is the value that I personally see when it comes to this tech software development?

Duh. Aries is a real test and Aries is something I need to see if it actually works because if it does it's cooked.

The point of Aries is taking the tech found up here, a 247 Damon or just a model that's always on and having it create real software. This is a real use

case by OpenClaw that wasn't possible before OpenClaw because now we can quite literally create local AI models that communicate with each other forever and

ever. I guess until you you could in

ever. I guess until you you could in theory just unplug. I unplugged you and then it's off, right? But open qual created a system now where you could essentially have AI models talk to AI models and therefore planning can occur,

execution can occur and a bunch of implications is behind that. Aries

itself, I'll do a deeper video if it actually works. I have a little article

actually works. I have a little article here. It's nice, nice and beautiful. If

here. It's nice, nice and beautiful. If

you're familiar with me, if you know this channel, I don't like doing videos like oh my gosh, open clause here make a h 100k in a month 10step guide pay me $100. Like I don't care. I'm here to

$100. Like I don't care. I'm here to really give you real perspective from a real software engineer. So, what I'm telling you is that I'm not going to jump the gun. I'm not going to say, "Oh my gosh, I created AGI. I don't care. I

am going to do tests on Aries." So, I had to buy a Mac Studio, which was like 9 grand, which had 512 gigs of RAM in order for me to do these tests. To put

simply, the tests are going to prove whether or not AI models can create real software. And not in the sense of like

software. And not in the sense of like vibe coding. I'm saying they can create

vibe coding. I'm saying they can create real software with no user input. Eg.

Like, I don't need to be there. I just

give you a essentially a plan build XYZ and it handles everything from there on out and it goes 247, seven days a week, 30 days a month, 28 on February type of situation. So what does this mean for

situation. So what does this mean for you? If you're like Corbin, I want to

you? If you're like Corbin, I want to use this for my business. There's

potential here, but this is so early stages that it's going to require you to do a lot of experimenting, a lot of iterating. So I suggest you if you like

iterating. So I suggest you if you like that kind of thing, like this actually is cool to you, yeah, buy a local environment. Like a very popular one is

environment. Like a very popular one is like people buying Mac Studios. Buy

whatever your equivalent is. Point being

is that the local environment is where OpenClaw is going to excel. The cloud,

yeah, you could do it, but it opens you up to more security risk. It opens you up to more cost cuz now you got to pay for stuff. Like the cloud is I really

for stuff. Like the cloud is I really just I'm looking at the cloud like this is the old way. If you really want to build a 247 AI assistant that functionally works and acts like an AI assistant and you're not paying a

gazillion dollars just to keep hitting the anthropic API endpoint, local is the way. All right, last notes here in

way. All right, last notes here in OpenClaw. TLDDR OpenClaw is a 24/7

OpenClaw. TLDDR OpenClaw is a 24/7 assistant that actually works and it can actually be autonomous. But my

suggestion to you is go local because the cloud is just cooked. If Aries

actually works, I am not only going to test it on a real software.com. I showed

how to build it in six hours. You can

check out this channel. But the real software here is Thio. I'm going to plug Aries into Thumbio and then see if it can handle PR requests. See if it can handle building out real features within a real software that is scaling right

now. But on top of that, I'm going to

now. But on top of that, I'm going to see if Aries can essentially create softwares from scratch that are real.

These are questions that need to be answered. These are questions I don't

answered. These are questions I don't have the answer to yet. Now, if it's too much down the road, you look at my X, I'll probably say what the situation is here. But if this genuinely can do what

here. But if this genuinely can do what I think it can do based off my test now, and I'm 80% sure it can, then I'm going to leave you with this. Open claw might have been the inception of software going to zero in the sense that there's

no other way to put it. Building

software isn't going to be using an app to build software. If open claw and these tests are true, building software is a system. What I mean by that is the

environment itself is sole purpose is to build software. No human input, no back

build software. No human input, no back and forth, no latency. Aries a fork of openclaw. You give direction, a plan, an

openclaw. You give direction, a plan, an execution model, and it handles everything. If you're a nerd and you

everything. If you're a nerd and you want to check out OpenClaw, I suggest you do it. It's really fun. But that

just concludes today's video. So, as you already know these style videos, make sure you leave a like and I'll see you in the next open claw.

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