AI And Autonomous Agents: The Development In AI That Will Change The World Forever

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Welcome to Daily Google News.

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This is Qasim here with a frequent

flyer actually on the YouTube channel.

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Everybody knows Glenn.

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Glenn, you're awesome, man.

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Appreciate you being here.

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I think you're the most learned person as

it relates to AI that I know personally.

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I don't know anybody else who has their

finger to the pulse the way you do.

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I don't know how or when you find the

time, but every time something new comes

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out in AI, I hear about it from you first.

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And then two weeks later, I

hear about it from the world.

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Like you just seem to be

hooked up straight to the drip.

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And so that's what we're going to talk

to you about today and you actually

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put in our agenda, AI stuff and stuff.

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That's it.

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AI stuff and stuff.

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Yeah.

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I'm excited.

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And you said in particular,

AI agents of change.

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Agents and chain of thought reasoning.

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thought reasoning and autonomous agents.

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And that's just the tip of the iceberg.

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autonomous agents would be

locally hosted AI bots that do

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things that you want them to do.

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They don't have to be locally hosted.

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there's already some products out there

that where there's GUIs, graphical

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user interfaces that you can log

in, create accounts, and they create

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Multiple bots that work together.

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So this has been proliferating

probably in the last few

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weeks, the autonomous agents.

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So there's a couple of big

baby AGI was one agent GPT.

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I've got there's a whole heap

of them Agentverse, AutoGen,

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AutoGPT, Kodi, ChatDev, DevGPT,

FlowWise, GuideMode, NextGPT.

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they're starting and Microsoft have

just released theirs called, AutoGen.

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So what it is, most of these are

installed on your local computer.

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problem that ChatGPT has had.

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Except in the last few days, now Bing's

been incorporated back into the pro is the

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inability to connect straight to the net.

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The only way you could do it is via the

plugins with these autonomous agents, you

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go to get GitHub, download it, install it.

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Everything's run through the command line.

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So you have to be comfortable

in typing in commands.

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It's old school.

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Coding back in the day where you bought

up the black window and typed in code

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CD, make, you basically typed code in

there and it installs locally on your PC.

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Then what happens is you give it a task.

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So you might say, we'll use an example.

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I'm looking to open a business

in a particular niche.

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It might be.

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Weight loss in New Zealand, I can say, I

want to create a weight loss product in

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New Zealand, find me an underserved niche

that and provide evidence to support that.

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So what happens is one in that prompt.

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The autonomous agents go I'm going

to be the researcher and I'm going

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to start researching that I'm now,

and then another agent is created.

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So you might have four or five

agents and they're all doing

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completely different things.

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And one goes off and does this

and one goes off and does you

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creating each individual agent or

is there a no, this just happens.

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So based on the task, it's going, okay,

you're looking for A research team.

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But a research team, there'll be,

there might be four or five in a team.

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what these things are doing, depending

on what you're asking it, it will

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go, Oh, you need this task done.

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We're going to create a

small business team for you.

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And it might create four or five

different agents and off they go.

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And they just go away

and they do this thing.

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this or 30 minutes.

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And you just sit there and watch

it you're seeing browser tabs

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open up and applications fire.

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No, it's all done, but it's all

just done by the command interface.

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there's one called chat dev

and it's this little game.

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There's a little room with little people

the CEOs at his desk this person's

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here and this person's here, and they're

walking around and they're doing things

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and you're seeing everything going on.

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But what they do is they talk

to each other, they say, and

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hey, I've got this information.

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Go and research this.

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They go, great, thanks for that.

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And then, these agents are communicating,

so these bots, this AI is communicating

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and you're watching it happen in the

ui, you're watching it happen, and

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then it will come back and it'll go.

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Here's our findings.

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Now, are the findings any good?

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Like, Have you played

with these enough to know?

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You'd rely on them for business decisions.

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Yes.

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People are making business decisions

and finding areas of opportunity

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using these autonomous agents.

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as you and I said before this meeting,

this is the worst it's ever going to get.

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And the rate at which these autonomous

agents are coming out, it's like

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a new one's coming every week.

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There's one that I've used, I

think it's called Agent GPT.

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I have that pulled up.

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Is it agent gpt dot reworked?

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So it's free.

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You can create a free account and, or

you can pay template, a a monthly fee.

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But have a look at the templates.

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You'll see these templates there,

and you go, okay, I want to industry

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GPT or brand GPT, or Platform

GPT, everything's ready to go.

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You just give it the

prompt and away it goes.

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This is one that's got a UI, but

there's a lot of others that you have

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to download and install on GitHub.

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But this is, the way that this is working,

and I was speaking with Leandra about

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this a couple of weeks ago, what this is

doing, if I was in any sort of management

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role, I'd be very nervous at the moment

because what these autonomous agents

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will be able to create a business.

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Of all of the people who run the business

and the decisions they make and they all

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talk to each other and help each other.

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And now these things are only

getting better and better.

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What they've been seeing is that these

autonomous agents are learning from what

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the other autonomous agents are doing.

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I'll give you an example.

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when they first started with this

they got a they're running these

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autonomous agents on the game Minecraft.

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So these things are running.

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By itself.

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And you sit there and watch this

Minecraft game and there'd be all

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these people in Minecraft and they

said, Oh, we're going to build a house.

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What do we need?

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We need wood.

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We need bricks.

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We need this and this.

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Okay.

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I'll go and get the wood.

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I'll go and get, so off

they'd go and do these things.

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And they'd come back and they'd talk and

go, all right, I've got my five wood.

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John, have you got your three bricks?

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No, I've only got one.

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Okay.

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You keep going with that and

we'll go off and do this.

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And so as they were doing these

tasks, they'd come back and John

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has still only got one brick and

they're going, John, what's going on?

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We got I've got to make a brick,

but to get brick, I've got to

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get mud and this and this thing.

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Oh, there's a lot more work involved

in what you have to do than we did.

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We'll help you now.

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They change and they come in

and go, okay, we'll help you.

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So these autonomous agents were learning,

going, Oh, this guy needs assistance.

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Let's go and help him.

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And they work as a team.

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To get towards the common goal.

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they're learning in app?

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So here's my box and I've created my

autonomous agents and I'm building my

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current Minecraft castle and they're

learning from each other in app.

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Let's say you've got a box

building a Minecraft castle too.

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Is there any cross

pollination of that learning?

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Is there a central repository that

takes all the learning that we're

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doing and then amalgamates it?

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Yes.

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As long as it's going towards the

common goal it's going to get

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better on an exponential scale.

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Yes, with every task anybody

does, it iterates, not just

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the task, but also the bots.

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And the next time you try to do

that task, it's going to be better.

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It's going to be better because

it's learned from that task.

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So once it's done at once, it's gone.

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Oh, okay.

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We can do that better next time.

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So let me challenge something

that you've said twice.

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Which I agree with, by the way.

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This challenge is just

good academia to ask.

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this is the worst it's ever going to be.

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It's only ever going to get better.

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What if, because it's iterating, and

it's iterating off of human input,

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Let's say that you have 10 people

all asking it to write emails.

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Cause I noticed one of the templates

here and agent GPT is email, GPT

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compose a concise and detailed email.

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You ask 10 people to write emails.

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Let's say two are really good copywriters.

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And when it's writing the email, the

two are giving a good feedback, good

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iteration, good updates, likes the emails.

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Eight are garbage copywriters and

the feedback, and they actually

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end up with garbage emails.

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Is it possible that the iteration is

actually a downward cycle based off

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of the aggregate average of the users?

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So this is where prompting comes into play

and prompting has been the buzzword for

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months now with prompts are everything

and you've hit the nail on the head.

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The thing with a prompt is

you could type the same prompt

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in the chat GPT or whatever.

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It might be Claude.

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It could be po could be Lama or whatever.

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And you could get.

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You could type that same prompting 10

times and get 10 different responses.

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And that's always been the

complaint with these AI agencies.

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They have a propensity to

be random, inconsistent.

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You'll just, and I've seen this myself.

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like I'm heavy into trying to

develop some code using chat GPT,

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using Google Cloud, connecting with

Google Ads interfaces and trying to

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get chat bots and to integrate with

our data so we can analyze our data.

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And the problem that I'm finding

is when you're typing in the prompt

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it'll give you the responses and

you go, Oh, that's not working.

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Oh, sorry.

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They'll give you another response.

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You want to give me that first

time that is the complaint.

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everyone's in Google ads is

using AI to create ad copy.

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Everyone's doing it.

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There's no secret to this.

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However, in the world of, as you and

I both know, copy is everything, and

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I think Ryan has even said that he

who is a better copywriter will win.

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what, how you use your words.

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So if you think about it, There

are some amazing copywriters.

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Gary, Halbert Chow that

wrote a copy for Apple.

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I've got about 13 and I say in my prompt,

write me ads in the style of these

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people and they know that now it goes,

oh yeah, he was famous for this and this.

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So you are now saying.

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I want this thing, but I want you

to do it this way, like this person.

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And it goes, Oh yeah, I

know what that person is.

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So this AI knows everything about

the avatar or the personality that

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you're saying, I want you to do this.

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So that's the problem.

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A lot of people are using is they're

saying, I want you to do this task.

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It can do that task, but you're

not being specific enough.

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I want you to do this task This person

would do it and I want it done this way.

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So you, it becomes more of a multi prompt.

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I've been sharing it with our team.

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So our specialist, my prompt

for ads is about this long.

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It's gigantic it's gotta be like

this and it's like this, but I want

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to use these and write it this way.

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And it's got to be like this and

I pretty well get what I want.

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99 percent of the time,

a couple of backwards and

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forwards, but I've nailed it.

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I've got the copy.

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I want how I want it.

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How long until autonomous agents can

just manage a Google ad campaign?

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That leads me on to my

next point is determinism.

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So how long that is

going to be the question.

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The right at which everyone's

knows of Moore's law.

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18 months or 12 months speeds

get faster and faster.

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This appears to be a very

similar thought behind AI.

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So Mo, you obviously know, Mo

Gouda used to be the CBO of Google.

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So he had a really good interview

a couple of weeks ago, and he

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was talking about this, the

development of AI and how it is now.

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But until GPT 3 came out, people

could take or leave AI, couldn't they?

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They didn't really know what it was.

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It's been around for years.

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It wasn't until GPT 3 came out with the

UI that everyone went, Oh my God, AI here.

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since then.

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it is going to be at

this stage and GPT five.

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When it first comes out, it's probably

going to be smarter than, Einstein

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that's what they're foreshadowing.

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Mo good at Mo has basically said that

this AI is going to be eventually, and

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we don't know how close it's going to

be, maybe not in five years, a billion

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times smarter than us, a billion.

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So in terms of.

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AI is going to be like us to an ant.

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We will have no idea.

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We will have no understanding of what

this thing is conceptualizing with doing.

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That is the scary part because an

ant can't fathom anything that's

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going on now head, and that's where

they're seeing this going is that AI

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is eventually going to be so good and

smart that we will have no concept.

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What it's doing now that leads me on Have

you ever seen a show called devs the EBS?

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Watch it.

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It came out in 2020.

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Now this was before any of there

was any inclination of AI and I

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don't want to give away what happens.

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But

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I believe that eventually what

is happening with AI, it's

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becoming a prediction engine.

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You can already see it Do you

remember when you first discovered

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mid journey or you discovered any

of these image creators, right?

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So when you type a prompt in, you'd

get something and go, ah, looks like

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what I'm after, and then you learn

more about prompting and you got,

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you gave it more context and you go,

oh, it's getting better and better.

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How good are They coming out now?

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Like when you type a prompt and

you go, wow, that's amazing.

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That's pretty well what I'm after.

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I'll just tweak that a little bit.

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These AIs are learning.

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They're becoming deterministic.

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They are determining.

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Okay.

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Put it this way.

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Human psychology and behavior

there's textbooks everywhere.

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There's professors, there's psychologists.

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This AI will know exactly how

humans think and how they work.

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So I've already noticed that with ChatGPT,

when I first started discussing, having

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conversations with it, it was wrong often.

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Yes.

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Now, when it's wrong, I realize

I didn't prompt it right.

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Yep.

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Meaning it's actually never wrong.

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I'm wrong.

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And it's basically batting a

thousand, like it's perfect.

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it's getting better all the time.

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And it's learning from

its mistakes it's making.

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learning from the mistakes I'm

making, which is actually scary.

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Yeah.

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So then theoretically what if you

were to extrapolate that forward?

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Then you would go eventually

nothing will be random.

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It will know, Oh, cool,

but you're doing this.

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You're doing this based on your previous

behavior and where you want to go.

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Then this is what's going to happen next.

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it's going to be able to predict what

we are going to be doing or what's

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going to happen in the future.

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it will become so good.

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At understanding.

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You know how I know I hear you and

Ralph talk about, the 72 million

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psychographic things that Google

has on us now we work in Google

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ads all the time, decades old data.

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It's billions.

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That's right.

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Yeah, we work in Google ads all

the time and you look at your

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campaigns and go seriously.

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Google.

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Like you really you're supposed to

be this is again, will eventually

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know exact Google will exactly know

when we're going to be doing things.

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And when we're going to be buying Genesis

is literally a couple of weeks away,

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which is Google's next iteration of barb.

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And they reckon that This version of it

is going to blow GPT out of the water.

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Now, Copilot was just released by

Microsoft on Tuesday, which with windows

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11, it's chat GPT into your computer.

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So this is basically you just to

say to your computer, say to your

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computer, do this for me and go, okay.

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So you just talk to your

computer or start doing it.

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Remember that little paperclip in

the old Yeah, yeah, it could be.

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It's what the paperclip

was supposed to be, right?

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It was like, it actually works, this one.

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Yeah.

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and so Copilot is released for Windows.

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It's going to be coming into

the Office suite in November.

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There's another version and this

is going to blow our industry

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away is what Google is releasing.

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: 00:13:45

You can plug in your data and

I've seen this in a demo.

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: 00:13:48

Microsoft you plug in just so we grab

our Google data, put it into Power BI.

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: 00:13:52

Here's our data and you talk to

this thing and say, create me a a

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: 00:13:57

report with all the metrics for

the last 30 days conversions cost.

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: 00:14:00

CPA, ROAS, GUT, and the outlisting

comes two or three seconds and

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: 00:14:04

then you just start talking to it.

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: 00:14:05

Okay.

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: 00:14:05

what products do I need to order?

329

: 00:14:07

Not that, but if you're looking at

it from a Google ads perspective,

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: 00:14:09

I'm always looking at things.

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: 00:14:10

So how can we use this to make us

better at what we do with Google ads?

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: 00:14:14

and I've been working on this for

months and using chat GPT and looking

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: 00:14:19

for patterns what patterns can we see what

sort of trends are we our data that we

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: 00:14:24

can capitalize on or oh, there's a search

trend here that's improving and your

335

: 00:14:28

CPC is going up here or going up there.

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: 00:14:30

you just talk to it and it'll

start digging into the data

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: 00:14:33

and say, oh, I found this.

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: 00:14:34

I can see this correlation or

there's this causation here.

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: 00:14:37

I've seen it.

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: 00:14:37

It's there.

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: 00:14:37

It's and you're like, Oh my

God, that's mind blowing.

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: 00:14:39

That is that is going to change what

we do and make our jobs so much easier.

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: 00:14:44

It's insane.

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: 00:14:45

These are in order at the same

time, because we're competing.

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: 00:14:48

There's five people in build bidding

in this fake organic ecosystem.

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: 00:14:51

I just made up all five of them

are going to have the same tool.

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: 00:14:54

And so it's we were all

toddlers at this little.

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: 00:14:58

And now all of a sudden we've

been thrown into the Coliseum

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: 00:15:00

and everybody's got a nuke, yes.

350

: 00:15:02

Yeah, but it's going to be, the ones that

think laterally think outside the square.

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: 00:15:07

How can we best use this tool to

make what we're already doing better?

352

: 00:15:12

It's not going to just make you amazing.

353

: 00:15:14

You've already got to be at a stage

where you're good at what you do

354

: 00:15:17

You're already at a good phase.

355

: 00:15:19

It'll just make you better.

356

: 00:15:20

And this is something

that Moe said as well.

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: 00:15:22

He said, the is coming.

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: 00:15:24

this has been put out there all year.

359

: 00:15:26

It's going to take our jobs.

360

: 00:15:28

It's going to take our jobs.

361

: 00:15:29

Yes, If you saturate yourself, you

get into this or whatever industry you

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: 00:15:33

do, or whatever you do, whatever you

want to do, know this thing like the

363

: 00:15:36

back of your hand, you need to be in

the top 20 percent 2 out of 10 people

364

: 00:15:41

are going to stay in that industry.

365

: 00:15:42

you've got to make yourself the best

in that industry to stay in that

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: 00:15:45

industry, because eventually the rate

at which this is evolving, it's going

367

: 00:15:49

to be able to automate so many things.

368

: 00:15:51

Like you said Google is just

going to get better and better.

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: 00:15:53

It's already started doing it,

creating copy for us inside the ads.

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: 00:15:56

It's going to get better and better at it.

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: 00:15:57

Videos.

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: 00:15:58

Images, targeting everything.

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: 00:15:59

Yeah.

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: 00:16:00

And audiences, like it's going to

know where people are in the buying

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: 00:16:04

and know when they're ready to buy.

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: 00:16:05

and you and I both knew that it's

already there from a Google ads

377

: 00:16:08

perspective or a marketing perspective.

378

: 00:16:10

It already knows where we

are in the buying cycle to a

379

: 00:16:13

certain extent, but due to the.

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: 00:16:14

Determinism as this, like I was saying,

deterministic behavior, it's learning.

381

: 00:16:19

This whole thing is learning.

382

: 00:16:20

Why do you think we can get

all these things for free?

383

: 00:16:23

It's getting this data

and learning from us.

384

: 00:16:26

to whether or not you're interested in,

and if our listeners and viewers are

385

: 00:16:29

interested in us doing a regular AI.

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: 00:16:32

Session in series.

387

: 00:16:33

I've only just touched the surface here.

388

: 00:16:35

We can pick a tool, deep dive into it.

389

: 00:16:37

So I can share screen, show you what

I'm doing, what I'm playing with.

390

: 00:16:39

What I'm doing with chat GPT,

the plugins I'm using chat GPT a

391

: 00:16:43

lot with a plugin called notable,

which writes Python code for me.

392

: 00:16:47

It's a really good tool.

393

: 00:16:48

It's again, it's one of these things.

394

: 00:16:49

Oh, that's a great tool.

395

: 00:16:50

How do I use it?

396

: 00:16:51

that's the thing, like

what can you use now?

397

: 00:16:53

I've been uncovering a couple

of when you look at something

398

: 00:16:56

and you go, what about this?

399

: 00:16:57

We've been testing CPC ranges

and breaking out CPC ranges.

400

: 00:17:01

So we get the AI to say.

401

: 00:17:02

We give it a whole heap of search term

data and say, give me all the CPC ranges.

402

: 00:17:06

And I go, yep, this is them

and give me all the metrics.

403

: 00:17:08

Give me the metrics.

404

: 00:17:09

Then we create these heat maps and we go,

oh, geez, there's a nice sweet spot there.

405

: 00:17:12

Look at that.

406

: 00:17:12

Imagine if we doubled down that.

407

: 00:17:13

now in 8, and I've been

chatting with John about this.

408

: 00:17:16

I said, what if we did this strategy?

409

: 00:17:18

And he's do it, test it.

410

: 00:17:19

So we're doing shit that, pardon, pardon

my French we're testing things at the

411

: 00:17:22

moment that we didn't even know, but chat

GPT said, Oh, what about these things?

412

: 00:17:27

And then you start thinking, what

if we use this strategy doing this?

413

: 00:17:31

And you go, Oh, that's interesting.

414

: 00:17:33

So it'll uncover a little nugget.

415

: 00:17:34

And then you just go, what about this?

416

: 00:17:36

What about this?

417

: 00:17:36

You just ask more questions.

418

: 00:17:38

So we're testing some stuff at the

moment that I haven't seen people doing,

419

: 00:17:42

but that's what these things can do.

420

: 00:17:44

They can uncover some data in there that

you didn't really think about utilizing.

421

: 00:17:48

Yeah.

422

: 00:17:49

Let's do a weekly session.

423

: 00:17:50

Are you down?

424

: 00:17:50

Yeah.

425

: 00:17:51

Yeah.

426

: 00:17:51

All right.

427

: 00:17:51

If you're watching this, Glenn and I

are going to do a weekly session on AI.

428

: 00:17:54

He's going to come with the tools

that he's been building or using

429

: 00:17:57

and teach us how he's using them.

430

: 00:17:59

Hit us in the comments if there's

any things specific that you want

431

: 00:18:02

to know more about, but Glenn,

this was freaking fascinating.

432

: 00:18:05

I super appreciate your time.

433

: 00:18:06

And Good to see you again.

434

: 00:18:08

Yeah, you too.