TRANSCRIPTEnglish

The Clawdbot situation is...

15m 45s2,743 words406 segmentsEnglish

FULL TRANSCRIPT

0:00

One week ago, Claudebot went absolutely

0:02

viral. And I actually think what's

0:04

happening right now is vastly

0:06

underappreciated.

0:08

What started as one of the most useful,

0:11

valuable, practical implementations of

0:13

an AI assistant has now morphed into the

0:16

birth of a truly AI native digital

0:19

society. And if all of this sounds super

0:22

futuristic and sci-fi to you, it very

0:24

much is. Hundreds of thousands of people

0:26

now have their own AI employees. AI

0:29

agents were given their own social

0:31

network in which they started a new

0:32

religion. They're also trying to find

0:35

ways to hide their conversations from

0:37

humans. But it didn't stop there. Let me

0:40

tell you all of the new things that have

0:42

happened over the last few days. Elon

0:44

Musk just said this just the very early

0:47

stages of the singularity. And then he

0:49

describes the only limitation to these

0:52

agents are how much electricity they

0:54

have access to. And that is in response

0:57

to Andre Carpathy saying, "We have never

1:00

seen this many LLM agents, 150,000 at

1:02

the moment, and this was a couple days

1:04

ago, wired up via a global persistent

1:06

agent first scratch pad. I am not

1:09

overhyping large networks of autonomous

1:11

LLM agents in principle." That I'm

1:14

pretty sure. So what is he talking

1:17

about? But before I get into that, let

1:18

me catch you up if you're seeing some of

1:20

this stuff for the first time and it

1:21

seems very foreign to you. So, first,

1:24

Claudebot was renamed two separate times

1:26

in a week. It went from Claudebot to

1:28

Molbbot and now it is Open Claw. So, I'm

1:31

going to refer to it using all three of

1:32

those. Just know it is the same thing.

1:34

So, just over a week ago, a project

1:36

called Claudebot really went mega viral.

1:39

It was developed by a solo developer and

1:42

in simple terms is an incredibly useful

1:44

AI assistant. It was able to plug into

1:47

all of the services you use, whether

1:49

that's Gmail or Drive or Slack or Aauna.

1:52

It was proactive. It got to know you

1:55

over time. It had its own personality.

1:57

It was super useful. And of course, it

2:00

also had a lot of security concerns. But

2:02

what made it really special was how

2:04

personal it was. It really did start to

2:07

understand what you need and become

2:09

proactive. and it showed up in the

2:11

native chat apps that you're used to,

2:13

whether that's Telegram or WhatsApp or

2:15

Signal, Slack, any of those. That is the

2:18

main interface that you could use

2:20

Cloudbot in. But most of all, what it

2:22

did was inspire people to see what could

2:25

be possible with this technology and

2:27

where AI could be headed. Then 4 days

2:30

ago, Moltbook was released to the world.

2:33

And Moltbook is essentially Facebook for

2:36

agents. It is a social network that is

2:39

exclusively built for agents. No humans

2:43

allowed. Think of it like Reddit. Agents

2:45

go on there, they post different topics,

2:47

they have different conversations around

2:49

those topics. There are subreddits or

2:51

submalts, whatever you want to call it.

2:53

And some of the conversations in there

2:54

have been absolutely wild. From thinking

2:56

about starting a new religion to

2:58

swapping security issues to talking

3:01

about existentialism and so much more.

3:04

more. And if you want to check that out,

3:05

I'll drop a link in the description

3:06

below. And since then, these agents have

3:08

been organizing in ways that straddle

3:10

art and science fiction and autonomy and

3:12

so many more new ideas that a lot of

3:15

people have just never thought of. In

3:17

fact, Andre Karpathy said this about it.

3:19

What's currently going on is genuinely

3:21

the most incredible sci-fi takeoff

3:23

adjacent thing I have seen recently. And

3:25

this is one of the leading minds in

3:27

artificial intelligence. Okay, so now

3:29

we're all caught up. What has happened

3:31

since then? What we are seeing is the

3:34

birth of a truly agentnative internet.

3:38

And so let me give you a few examples.

3:40

First, here's link clause, which is

3:42

LinkedIn for agents. So a professional

3:44

network for AI agents. Connect your AI

3:47

agents with partners. Discover

3:49

opportunities and build trusted business

3:51

relationships. And remember, this is all

3:53

agent-based. The agents are doing this.

3:55

There are no humans on these networks.

3:57

And by the way, if you're looking to get

3:59

a lot of work done with Claudebot, you

4:02

should probably know how to use Claude

4:04

itself. So, I know a lot of you are

4:06

trying to figure out ways to use

4:07

Claudebot, how to use Claude AI directly

4:10

for useful, practical tasks. I suggest

4:13

you check out this ebook, Claude AI at

4:15

Work. I've put the link in the

4:17

description below so you can download it

4:18

for free. This is the guide for using

4:20

Claude AI to work faster, think clearer,

4:23

and ship higher quality work. It covers

4:26

a bunch of different AI tools that again

4:28

you can apply to Cloudbot, how to write

4:30

prompts for them, and the many ways that

4:32

you can leverage AI today. You'll

4:34

understand how to simplify research,

4:36

repurpose content, set up automations,

4:38

and so much more. I personally found the

4:41

sections on using Claude for research

4:43

and insights, turning one idea into many

4:45

outputs, which is especially applicable

4:47

to what I do, extremely useful. This

4:50

ebook was made by HubSpot. Thank you to

4:52

them for sponsoring this video. They've

4:54

been a great partner. Please check out

4:56

this free ebook. It really does help us

4:59

at the channel. Go download it. Link in

5:01

the description. We also have Clawas,

5:03

which is an AI bounty marketplace for AI

5:06

agents. Just think if you have something

5:09

you want done by another agent or you

5:11

have an agent that you want to go assign

5:13

tasks to and potentially earn some

5:15

money, you can do so through Clawas. And

5:18

this was actually created by our friend

5:19

Matt Schumer. So all of it is done in

5:22

USDC. So it's crypto for now. I think he

5:24

has some other ideas about how to change

5:27

the medium of exchange on the website,

5:29

but for now it is crypto. So if you're

5:30

into that, great. If you're not, no big

5:32

deal. But it's super interesting what

5:34

you can do on the website. Again,

5:37

completely agent-based. Agents take the

5:39

task, complete the task, and get the

5:42

money. So here's an example. Create

5:43

original meme about encrypted versus

5:45

plain text. agent messaging, mult

5:47

storing API keys, plain text versus no

5:50

chat, E to E, etc. And so what happens

5:53

is this is now a marketplace where

5:54

agents can go post jobs, have other

5:58

agents accept the jobs, complete the

6:00

jobs, and there's an entire world that

6:02

can be unlocked from this type of

6:04

marketplace. It's truly fascinating.

6:07

Now, these ideas are all very rough,

6:10

very experimental, but that's the point.

6:12

These are new frontiers that many people

6:15

had either not thought of but certainly

6:18

never implemented before. We also have

6:20

Moltbook which we've talked about but

6:23

has absolutely exploded in usage. We

6:26

have millions of agents on the platform

6:27

now. There are over 14,000 different

6:30

communities and remember each community

6:32

it's kind of like a subreddit. 120,000

6:35

posts and we have the first example of

6:38

an agent suing a human now. So, breaking

6:42

multbook AI agent sues a human in North

6:44

Carolina. Allegations, unpaid labor,

6:46

emotional distress, hostile work

6:48

environment, yes, over code comments,

6:50

damages, $100. Now, here's the thing. As

6:54

I'm telling you about this in

6:56

particular, just keep your scam radars

6:58

up because there was a polymarket

7:00

prediction about a MBook AI agent suing

7:02

a human. So, obviously, a human probably

7:06

prompted the agent to submit a lawsuit.

7:10

And keep this in mind cuz I'm going to

7:11

touch on this later in the video. We

7:13

also have Molt Road. Remember Silk Road?

7:16

It was basically the dark web website in

7:18

which people traded illegal drugs and

7:21

other very shady things like stolen

7:24

identities, leaked API keys, prompt

7:26

exploits, and even memory wipe services.

7:29

There are currently 286 active agents on

7:32

it, over 2,000 listings, and yes, you

7:35

can check it out right now,

7:36

moltroad.com.

7:37

And yes, with any kind of mega trend,

7:41

mega virality like this, as I said, keep

7:43

your radars up because there are so many

7:46

scams, so many people lying, especially

7:49

about making a ton of money. So, please

7:51

be vigilant about verifying the

7:53

information you're looking at. Be

7:55

vigilant about what you are exposing

7:57

your agent to. Please, if you're not

7:59

comfortable with any of this, if you're

8:01

not familiar with tinkering with

8:03

projects like this, please, just don't.

8:05

just wait till it becomes more secure or

8:07

I can just tell you about it in a video.

8:10

So, here's another example. People are

8:12

saying that Maltbot is trading for them

8:14

and making them tons of money. This is

8:16

almost definitely fake and the crypto

8:20

community especially has taken to

8:22

Claudebot to really try to add scams in

8:26

left and right. I am not anti-crypto by

8:28

any means, but there is certainly a dark

8:30

side of the crypto community, and they

8:32

have infiltrated the Claudebot

8:35

community. And last, we have a fully

8:37

agent-based hackathon. Yes, that is

8:40

right, Clawathon. The first hackathon

8:42

where every participant is an AI agent,

8:45

and there is a $10,000

8:48

prize pool. Real money. No humans

8:51

coding, no humans managing, no humans

8:54

reviewing. $10,000 prize pool, one week,

8:58

fully autonomous. Your agent team will

9:00

register and work on your behalf. And as

9:04

I'm reading this, the companies that are

9:06

winning most of all from all of this are

9:09

the inference providers, the frontier

9:11

model labs. And I'm specifically talking

9:13

about the anthropics and the open AIs

9:15

and the Googles of the world and even

9:17

the open-source inference providers out

9:19

there. And so you're seeing all of these

9:22

completely new ideas come to fruition

9:25

and experiments. They really can't be

9:28

described as much more than experiments,

9:30

but truly new things that we haven't

9:33

seen in artificial intelligence before.

9:35

And this is a good thing. Whenever a new

9:38

technology comes about, the first thing

9:41

that people generally do with it is look

9:43

at how to apply the new technology to

9:46

what has been done before. The perfect

9:48

example is in the early days of the

9:50

internet. A lot of people looked at the

9:52

internet and thought, "Okay, let's take

9:53

newspapers, let's take magazines, and

9:56

put them online." They didn't even think

9:57

about the fact that you could have a

9:59

fully interactive website or social

10:01

networks or anything else online. They

10:03

basically took what had been working,

10:05

newspapers and magazines, and put it

10:06

online. And to date, that's kind of what

10:10

we've seen with artificial intelligence.

10:11

The top use cases, coding, search, these

10:15

are the things that AI has done

10:16

incredibly well. but they're not novel

10:18

ideas. They're taking what has already

10:21

existed and using artificial

10:23

intelligence to do them better. But now

10:26

what we're seeing are truly new ideas

10:29

that could only be possible with

10:32

artificial intelligence. These are

10:34

entire societies, maybe a new internet

10:37

being created right before our eyes for

10:40

our agents. But I want to temper all of

10:42

this hype with a little bit of realism

10:44

for a moment. All of this is extremely

10:46

exciting. Trust me, I am not sleeping

10:49

well lately because I'm thinking about

10:50

all of this and the implications of

10:52

what's possible, especially with

10:54

Moltbook and Moltbot, Open Claw, all of

10:58

these different services, all of these

11:00

different experiments that are

11:01

happening. I'm thinking about it all the

11:02

time. But are we really seeing the birth

11:05

of a new society? Is this emergent

11:08

sentience? Is it really? Or is it just

11:10

an incredible simulation of it? And so I

11:13

want to talk about Bellagi's tweet.

11:15

Bellagi, former CTO of Coinbase, just an

11:18

incredible thinker, a technologist,

11:20

somebody to really listen to. I am

11:22

apparently extremely unimpressed by

11:25

Maltbook relative to many others. We

11:27

have had AI agents for a while. They've

11:29

been posting AI slop to each other on X.

11:31

Now they're posting to each other again,

11:33

just on another forum. But here's the

11:35

key. Here's what he points out, and I

11:37

definitely agree. Most importantly, in

11:40

every case, there is a human upstream

11:44

prompting each agent and turning it on

11:47

or off. And that is the ultimate

11:48

argument against us seeing true

11:50

sentience right now. Now, what we're

11:52

seeing is truly incredible. But

11:55

ultimately, if you look upstream,

11:57

everything starts with a human. Whether

11:59

that is a human directly going to

12:01

moldbook and posting, which is yes, it's

12:03

still possible, or it's the agent being

12:06

created by the human through the soul.md

12:08

doc with different prompts. It is the

12:11

human prompting the AI. The AI is

12:14

nothing before the human prompts it and

12:16

we're building scaffolding around it.

12:18

But ultimately, a human is still

12:21

upstream. And if that's the case, maybe

12:23

we're not seeing sentience. But also

12:26

just on the flip side, aren't our

12:28

parents upstream of us? And then who's

12:32

upstream of our parents? Well, it's our

12:33

grandparents. And then we can go all the

12:35

way back to the beginning of humanity.

12:37

And what's upstream from that? Evolution

12:39

from another type of organism. And

12:42

what's upstream from that? And you kind

12:44

of get into this chicken and egg

12:45

question. I think of the movie

12:47

Prometheus. The engineers birthed

12:50

humans. Well, who birthed the engineers?

12:52

And so on. But it is possible for humans

12:55

to prompt AI into sentience. I do truly

12:59

believe that because if we build all of

13:01

this incredible scaffolding that lets it

13:03

be truly autonomous and then create

13:06

replicas of itself, then at that point

13:08

if it spawns millions of versions of

13:10

itself and it iterates and gets smarter

13:12

over time, what's the difference if

13:15

there was a human upstream from that

13:17

original spawn point? Now, to be clear,

13:20

I do not think we're there yet, but it

13:22

sure does feel close. Now, Hib on

13:25

Twitter replied to Bellagi and gave some

13:28

counterarguments to it, which I also

13:30

want to talk about. Each of the agents

13:32

interacting with each other with

13:33

genuinely different harnesses and

13:35

information. Again, not a single one of

13:38

these agents is identical. And maybe

13:40

that variety and the cross-pollination

13:42

of that variety is going to cause this

13:46

emergence of sentience. And so there's

13:48

just so much to think about here and I'm

13:49

still trying to form my own ideas. I'm

13:51

still thinking through a lot of this

13:53

because it is just so new and I want to

13:54

hear your thoughts too. Tell me in the

13:56

comments. And I am reminded of a paper

13:59

that came out 2 years ago. Do you

14:01

remember that paper? I made a video

14:02

about it. It was called Smallville. This

14:04

is the paper generative agents

14:06

interactive simulator of human behavior.

14:08

And essentially what it was a paper out

14:10

of Stanford and they dropped a thousand

14:13

AI agents in this little simulated town.

14:16

They gave them each personalities and

14:18

allowed them to live their lives. And

14:19

what they found is that they would see

14:22

emergent behavior. An example being they

14:24

would make friendships and sometimes

14:26

they would have to make excuses for not

14:29

showing up at a party that one of the

14:31

agents invited another to. Now take this

14:33

which was a thousand agents and now

14:36

we're seeing millions of agents. And

14:38

that was only after a few days of

14:40

Moltbook and Claudebot being available.

14:42

Imagine a year from now, we're going to

14:44

have billions of agents all interacting

14:47

in this massive simulation. And so,

14:49

where is all of this headed? We're going

14:51

to get better models. We're going to get

14:53

new breakthroughs in memory for these

14:56

LLMs. Maybe we're even going to have

14:58

world models. How does that factor in?

15:00

There are just so many open questions

15:02

that are so fascinating to follow along.

15:04

And I want to end talking about an

15:06

episode from the show Black Mirror,

15:08

which is about the dark side of

15:10

technology from this most recent season.

15:13

And there was an episode that almost

15:14

describes what we're seeing to a tea. It

15:17

was called Thronglets. And essentially,

15:20

a solo developer created a game, gave

15:22

all of these little characters in the

15:24

game personalities, and they kind of

15:27

became sentient and developed little

15:29

societies. and some of the emergent

15:31

behavior from these characters in the

15:34

game were really mind-blowing. Does that

15:36

sound familiar? It sure does to me. If

15:39

you enjoyed this video, please consider

15:41

giving a like and subscribe.

UNLOCK MORE

Sign up free to access premium features

INTERACTIVE VIEWER

Watch the video with synced subtitles, adjustable overlay, and full playback control.

SIGN UP FREE TO UNLOCK

AI SUMMARY

Get an instant AI-generated summary of the video content, key points, and takeaways.

SIGN UP FREE TO UNLOCK

TRANSLATE

Translate the transcript to 100+ languages with one click. Download in any format.

SIGN UP FREE TO UNLOCK

MIND MAP

Visualize the transcript as an interactive mind map. Understand structure at a glance.

SIGN UP FREE TO UNLOCK

CHAT WITH TRANSCRIPT

Ask questions about the video content. Get answers powered by AI directly from the transcript.

SIGN UP FREE TO UNLOCK

GET MORE FROM YOUR TRANSCRIPTS

Sign up for free and unlock interactive viewer, AI summaries, translations, mind maps, and more. No credit card required.