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Welcome back, everyone. 
Today on the Jose Carlson Show, 

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Google stock is surging. 
It's up 4 1/2 percent on the 

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day. 
And this comes, of course, a day

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after their developer 
conference. 

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That's right. 
Yesterday, Google showed off all

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the many things they're working 
on and importantly, how they 

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plan on addressing the attacks 
from ChatGPT. 

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Google laid out a game plan, how
they're going to address this 

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challenge. 
We're going to be going through 

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it and looking over some of the 
things that they announced, some

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of the new developments and why 
investors are getting back on 

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board this stock. 
And we have a viral interview to

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respond to with Elon Musk here 
giving another update on the 

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robotaxi rollout that's 
happening in June. 

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He responds to many questions 
about the safety concerns, why 

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he's not using Lidar, how he 
considers Tesla in a competitive

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position against Waymo. 
Now, I'm going to be responding 

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to this interview and 
highlighting a few things that I

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think Elon Musk is leaving out. 
We're also going to be looking 

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at FICO, why The stock is down 
14% today and it's down a 

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staggering 23% in just the past 
week. 

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What is going on with this 
company? 

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In fact, we have another similar
company, Equifax, one of my 

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positions. 
It's also trading down a little 

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bit today and yesterday it's 
down 5%. 

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Currently, there's something 
going on. 

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This one's a bit of a mystery, 
but we have the answers. 

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I'll be going over why FICO and 
Equifax are dropping and what 

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investors should think of it. 
And then finally, we have 

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another fail of the week. 
This time it is Klarna, which 

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has had huge losses due to 
people not repaying loans. 

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We're, of course, seeing the 
obvious results of people paying

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back their DoorDash delivered 
burrito in installment payments.

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So as always, we have a lot to 
get into in this episode. 

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If you like like this type of 
content, consider trying out the

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Patreon membership. 
It has a free trial and includes

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Qualtrim. 
It's awesome. 

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So try that out. 
If you haven't, let's go ahead 

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and jump into the main story 
here. 

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Google yesterday held their 
Developer IO conference, which 

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is basically where they show off
all the many things they're 

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working on. 
And this one was highly 

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anticipated, probably more than 
most, because Google's in a 

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transitional period. 
Investors are intently trying to

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figure out whether or not this 
company is a value trap. 

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There's people like Gene Muster 
that have referred to Google as 

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the new eBay, a company that's a
has been. 

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It's no longer at the forefront 
of technology, it's no longer 

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leading the way. 
It's simply going to slowly 

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decay into a relevancy. 
And that is, of course, because 

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of the concern of artificial 
intelligence, LLMS and ChatGPT. 

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So investors are looking at this
developer conference with the 

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viewpoint of trying to figure 
out if Google can remain 

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relevant. 
Now, Google did answer that 

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question, but not by just saying
that they'll stick around and 

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remain relevant amongst many 
competitors. 

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No, Google made it quite clear 
that they want to lead the way 

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that they are at the forefront 
of many verticals and many 

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different efforts. 
Let's go ahead and just take a 

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look and walk through some of 
the things that they're now 

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doing that is ground breaking, 
truly incredible things. 

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The first here is the Gemini 
app. 

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This has come a long ways. 
It used to be way behind Chachi 

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PT, but now Google announced 
that they're rolling out free 

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features like live video, which 
you can simply look at the 

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camera, point it at things, and 
it will give you AI commentary, 

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answer questions based on what 
you're looking at live. 

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Should I be nervous about this? 
It looks like your SRS. 

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Airbag light is on. 
That means there's an. 

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Issue with your airbag system. 
It's best to get that. 

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Checked out by a mechanic as 
soon as possible to make sure 

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your airbags will work. 
Properly if you need them. 

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Glad I asked. 
Thanks Gemini. 

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Now this is particularly 
impressive for a few reasons. 

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First of all, there are other 
applications that can do things 

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similar, like ChatGPT, but so 
far those are gated towards paid

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accounts. 
So only the people paying the 

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$20.00 a month have this 
advanced functionality. 

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But here Google is not only 
adding this functionality of 

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live video feedback, but also 
making it free for all of their 

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users. 
They're going to be rolling this

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out globally to every user in 
the Gemini app, and they're not 

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only matching what the 
competitors are doing, but 

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they're now lowering the price 
down to free. 

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In investing terms, what 
Google's doing by matching the 

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functionality of their 
competitors but making the price

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lower is giving their current 
user base, which is still 

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massive, less incentives to turn
over to different applications, 

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less reason to move. 
Initially, Google was way behind

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Chachi BT there is significant 
incentive for people to leave 

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the Google ecosystem and enter 
into the competitors. 

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But now that incentive is 
becoming less and less to the 

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point now where it's completely 
diminishing. 

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We have another example here of 
Google pushing the limits, this 

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time not just matching 
competitors but creating 

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entirely new features. 
For example, live video language

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translation. 
Let me turn on speech 

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translation. 
It's nice to finally talk. 

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To you is bueno ablarte 
finalmente. 

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You're going to have a lot. 
Of fun and I think. 

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You're going to love visiting 
the city. 

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The house is in a very nice 
neighborhood and overlooks the 

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mountains. 
That sounds wonderful. 

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This is obviously groundbreaking
stuff. 

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Being able to communicate with 
someone else in an entirely 

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different language, have it 
translate everything you're 

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saying on the fly in your voice,
is incredible. 

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This is something that Google 
and Google alone is doing. 

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They're at the leading edge of 
this. 

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Of course, the integrations 
don't stop there. 

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Google's integrating Gemini and 
their AI features into every 

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single one of their properties. 
In fact, the integrations go a 

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lot further than you would 
initially expect. 

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For example, in this demo here, 
you can aim the camera the the 

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live video camera at a specific 
thing like a postcard or an 

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event, maybe a wedding 
invitation and literally just 

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say add this to my Google 
Calendar and it will create a 

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calendar event with that 
physical thing. 

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Now it shows another example 
here of a shopping lifts that 

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that you jotted down and then 
you say add it to my Google Keep

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and it will do that as well. 
So we have the live video camera

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being integrated into the rest 
of their product suite. 

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This is the type of integration 
that other companies simply 

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don't have. 
They don't have the billions of 

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touch points with different 
users, but Google's able to 

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leverage this and they are now 
getting to another aspect of 

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this demo. 
Quite possibly the most 

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impressive thing that we saw 
yesterday was Google's ability 

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to create AI videos. 
We know that they've been good 

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at this for a long period of 
time. 

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In fact, Gemini has probably 
been the best by far in image 

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generation and video generation.
You can think they're huge 

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library of YouTube content to 
train that data on, but 

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regardless, they've introduced 
Flow, a new AI film studio that 

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ties together all their various 
products to work in concert to 

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create films. 
It uses VO, Imogen, and Gemini 

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all together and strings 
different pieces of content 

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together. 
One of the issues with AI video 

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is there's a lot of 
discrepancies, inconsistencies. 

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There's no continuity between 
clip after clip. 

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And this hopes to solve that. 
So we have some insane examples 

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of this tool being used. 
Like all of these AI tools, it 

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starts off with with a prompt. 
So you simply have a text based 

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prompt. 
More specific you are the 

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better. 
But then you can actually start 

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to edit it. 
You can revise things, you can 

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import it into different tools, 
you can clip things, you can 

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actually work on the content. 
It's not just a stand alone 

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clip. 
You can actually start to create

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longer and longer pieces of 
content. 

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And we see this natural 
gravitation of just these silly 

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AI clips now starting to make 
more meaningful content. 

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Google showed off the quality of
this new video generation with 

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VO3. 
It looks completely stunning. 

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This ocean, it's a force, a 
wild, untamed might, and she 

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commands your awe with every 
breaking light. 

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There's some different clips 
that Google made that are 

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incredibly impressive, but then 
there's ones that users are 

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quickly making after this new 
demo after this product was 

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released. 
Here's another test of Google's 

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new video generation. 
This is entirely AI generated. 

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Do a non existent car show. 
Let's see some opinions. 

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I mean man, the acceleration is 
crazy. 

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You look far, step on the pedal 
and you are there. 

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I feel safe with him in an SUV 
and it seems to be like the 

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right type. 
Of car for him I think the range

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is only. 
Be honest, would you be able to 

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tell if you were just watching 
this? 

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Would you know I'm not? 
I'm not sure. 

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I don't think I would be able 
to. 

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It's getting to that point where
it's crossing the line of I 

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can't obviously see that it's 
AI. 

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If I'm being honest. 
It just looks so real. 

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Only going to get better, sorry.
We don't want to drive gas cars 

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anymore. 
Yeah, no more gas cars. 

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You can see I'm kind of a. 
Kind of a misfit here, but. 

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Don't tell anyone. 
I've just bought an electric 

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car. 
There's a few things that give 

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it away, like Hell's Angels 
being spelled HELS, misspellings

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on things, different lanyards, 
and signs that seem a little bit

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off, but overall it's very 
confusing. 

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Even people in the comments are 
still confused of whether or not

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this is real or actually it's a 
real video disguised as AI. 

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Here's another one. 
This is entirely created by 

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Google's Flow, their AI 
generation. 

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All of this is AI video. 
It's different segments and 

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clips cropped together to form a
narrative, and this is possibly 

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one of the most impressive 
examples of this new technology.

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When we get in there I want no I
just stay on my 6 at all. 

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Times 
stay sharp. 

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They're nasty and dangerous. 
Stay alert. 

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What the hell happened here? 
Where are the bodies? 

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It doesn't look perfect. 
Some of the barrel flash is a 

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little bit misaligned with the 
guns, but overall this looks 

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pretty good. 
Now, all of this technology and 

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initiatives from Google are 
incredibly impressive. 

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It shows that the company's 
still at the leading forefront 

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of AI development. 
But it doesn't answer that 

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central question that Google 
investors are still concerned 

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about, which is search. 
But Google did address this and 

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they do have a plan to maintain 
their search dominance. 

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This was the main focus from 
Sundar Pichai and he addressed 

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this subject specifically of how
they're improving search. 

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For those who want an end to end
AI search experience, we are 

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introducing an all new AI mode 
and I'm excited. 

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To share that. 
AI mode is coming to everyone in

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the US. 
Starting today. 

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Today you'll see how you can ask
anything. 

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You'll find it as a new tab 
directly in search, or right 

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from your search bar. 
First, with AI mode, you can ask

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whatever's on your mind. 
And as you can see here, search 

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gets to work. 
It generates your response, 

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putting everything together for 
you, including links to content 

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and creators you might not have 
otherwise discovered, and 

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merchants and businesses with 
useful information like ratings.

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Search uses AI to dynamically 
adapt the entire UI, the 

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combination of text, images, 
links, even this map. 

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Just for your question. 
AI mode combines all the best 

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parts of Google search with 
artificial intelligence. 

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And the way that this works as 
they describe is it basically 

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creates search into an Omni 
search where you can still have 

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the very simple searches of I 
just want to find this address 

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and navigate to it, or is this 
restaurant still open? 

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Those type of simple searches 
will have very simple outputs 

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designed around those searches 
that just give you that 

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information. 
But if you have a more deep 

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search, one that requires more 
context and understanding, then 

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you're sent through the AI flow 
dynamically. 

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It'll give you an in depth AI 
response with all of this 

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information around it. 
Google search is now an Omni 

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00:11:55,320 --> 00:11:58,600
search that dynamically adapts 
to whatever the user is asking. 

232
00:11:58,960 --> 00:12:01,600
So no longer is it a dumb search
with just blue links. 

233
00:12:01,800 --> 00:12:04,640
No longer is it just a little AI
overview snippet. 

234
00:12:04,960 --> 00:12:08,560
Now it is an Omni intelligent 
search and they're pushing this 

235
00:12:08,560 --> 00:12:10,480
out to everyone. 
Another thing that Google's 

236
00:12:10,480 --> 00:12:13,240
going to leverage is your 
personal contacts. 

237
00:12:13,240 --> 00:12:16,200
This is another thing that they 
have that no other company has. 

238
00:12:16,640 --> 00:12:19,200
Google has so much information 
about you because of your 

239
00:12:19,480 --> 00:12:23,000
YouTube viewing habits, your 
Gmail, your Google Docs, all 

240
00:12:23,000 --> 00:12:25,720
your calendars, everything 
that's integrated with Google. 

241
00:12:25,920 --> 00:12:28,320
They have all of that 
information, and with your 

242
00:12:28,320 --> 00:12:32,080
permission, they can use that to
supply better context to your 

243
00:12:32,080 --> 00:12:34,280
searches. 
Soon, AI mode will be able to 

244
00:12:34,280 --> 00:12:37,800
make your responses even more 
helpful with personalized 

245
00:12:37,800 --> 00:12:40,040
suggestions based on your past 
searches. 

246
00:12:40,360 --> 00:12:42,800
So now, based on your recent 
restaurant bookings and 

247
00:12:42,800 --> 00:12:45,480
searches, it gets that you 
prefer outdoor seating. 

248
00:12:46,480 --> 00:12:49,640
And since you subscribe to those
gallery newsletters, it suggests

249
00:12:49,640 --> 00:12:52,160
some cool art exhibits to check 
out while you're in town. 

250
00:12:52,360 --> 00:12:55,320
This means that Google can do 
things like look at the type of 

251
00:12:55,320 --> 00:12:58,480
restaurants that you frequent 
and then suggest different 

252
00:12:58,480 --> 00:13:00,600
restaurants based on the ones 
that you've been going to and 

253
00:13:00,600 --> 00:13:02,560
navigating to in your Google 
Maps. 

254
00:13:02,880 --> 00:13:05,600
Again, this is data that Google 
exclusively has. 

255
00:13:06,080 --> 00:13:08,040
Now, they mentioned that this 
feature is not one that you have

256
00:13:08,040 --> 00:13:09,680
to have on. 
Of course, you can turn it off, 

257
00:13:09,840 --> 00:13:12,040
but this has the potential to 
create a much more intuitive 

258
00:13:12,040 --> 00:13:15,280
experience than competitors. 
Google's leveraging yet another 

259
00:13:15,280 --> 00:13:17,120
advantage they have now with AI 
mode. 

260
00:13:17,120 --> 00:13:21,040
It looks very similar to like 
the ChatGPT homepage or the Grok

261
00:13:21,040 --> 00:13:23,160
homepage. 
It's right in Google's search 

262
00:13:23,160 --> 00:13:25,800
and it says Meet AI mode with a 
big text box. 

263
00:13:26,400 --> 00:13:29,080
You now have the ability to do 
deep research on it. 

264
00:13:29,400 --> 00:13:32,680
So now all the billions of users
that haven't tried out ChatGPT 

265
00:13:32,680 --> 00:13:35,720
or aren't aware of deep research
are going to have this baked 

266
00:13:35,720 --> 00:13:38,440
into Google. 
And this is using their latest 

267
00:13:38,440 --> 00:13:41,160
greatest models. 
Deep Search uses the same query 

268
00:13:41,160 --> 00:13:44,120
find out technique you just 
heard about, but multiplied. 

269
00:13:44,560 --> 00:13:47,840
It can issue dozens or even 
hundreds of searches on your 

270
00:13:47,840 --> 00:13:50,640
behalf. 
It reasons across all those 

271
00:13:50,640 --> 00:13:54,480
disparate pieces of information,
create an expert level, fully 

272
00:13:54,480 --> 00:13:57,640
cited report in just minutes. 
Google's not just sitting around

273
00:13:57,640 --> 00:14:00,400
idly waiting for things to 
happen, they're creating the 

274
00:14:00,400 --> 00:14:03,920
most powerful Omni contextual 
search in existence. 

275
00:14:04,200 --> 00:14:06,800
Google also demoed different 
tools that weren't even on 

276
00:14:06,800 --> 00:14:10,480
people's radar, just new things 
that people weren't expecting. 

277
00:14:10,760 --> 00:14:13,320
For example, this tool allows 
you to try on clothing 

278
00:14:13,440 --> 00:14:15,720
digitally. 
I have many pictures here. 

279
00:14:15,720 --> 00:14:19,440
I'm going to pick one that is 
full length and a clearview of 

280
00:14:19,440 --> 00:14:23,840
me and off it goes. 
You can see it here how it 

281
00:14:24,200 --> 00:14:27,520
really gives me a feel for how 
this dress might look on me. 

282
00:14:27,880 --> 00:14:31,520
And I am going to click this 
thing to track price. 

283
00:14:32,360 --> 00:14:36,520
I pick my size then I have to 
set a target price. 

284
00:14:36,600 --> 00:14:42,880
I am going to set it to about 
$50.00 and tracking is 

285
00:14:42,880 --> 00:14:44,480
happening. 
There's two new pieces of 

286
00:14:44,480 --> 00:14:46,360
functionality there. 
The first one, of course, is 

287
00:14:46,360 --> 00:14:49,160
this new tool that allows you to
superimpose new items of 

288
00:14:49,160 --> 00:14:51,520
clothing on you so you can 
virtually try them on. 

289
00:14:51,760 --> 00:14:54,240
You can purchase them online 
with greater confidence. 

290
00:14:54,520 --> 00:14:56,800
But then the next thing she does
here, I think is even more 

291
00:14:56,800 --> 00:14:59,840
important. 
She looks at the item and then 

292
00:14:59,840 --> 00:15:03,720
sets the price that she wants to
pay for the item and then sets 

293
00:15:03,720 --> 00:15:07,280
it to automatically buy the the 
clothing item as soon as it 

294
00:15:07,280 --> 00:15:10,840
reaches underneath that price. 
This is a limit buy. 

295
00:15:10,920 --> 00:15:14,000
This is like if you're setting a
limit buy on a stock, but now 

296
00:15:14,000 --> 00:15:17,560
Google's implementing this type 
of purchasing directly into the 

297
00:15:17,560 --> 00:15:19,400
Google app, directly into Google
itself. 

298
00:15:19,680 --> 00:15:23,160
You can now set limit purchases 
on random websites to trigger 

299
00:15:23,160 --> 00:15:25,360
the purchase when the item falls
below that price. 

300
00:15:25,360 --> 00:15:27,280
Now, these weren't the only 
features that Google shared in 

301
00:15:27,280 --> 00:15:28,560
that demo. 
There's many other things 

302
00:15:28,560 --> 00:15:31,200
they're working on, but these 
are some of the most significant

303
00:15:31,200 --> 00:15:33,720
highlights and it shows that 
this company is not waiting 

304
00:15:33,720 --> 00:15:36,520
around to be disrupted. 
They are leaning into new 

305
00:15:36,520 --> 00:15:39,200
technology. 
Sundar Pichai was being honest 

306
00:15:39,200 --> 00:15:41,840
when he said that the 
innovator's dilemma is only a 

307
00:15:41,840 --> 00:15:45,600
dilemma if you choose it to be. 
If you make it 1, he's always 

308
00:15:45,600 --> 00:15:47,720
going to lean into the new 
developments, the new 

309
00:15:47,720 --> 00:15:50,400
technology. 
He's going to disrupt itself to 

310
00:15:50,400 --> 00:15:53,880
create new experiences. 
But in this case, the damage 

311
00:15:53,880 --> 00:15:55,640
that investors are concerned 
about. 

312
00:15:55,920 --> 00:15:59,040
The reason that the stock trades
at such a significant discount, 

313
00:15:59,360 --> 00:16:03,320
a 19 Ford PE ratio. 
This is cheaper than the S&P 

314
00:16:03,320 --> 00:16:06,960
500. 
The S&P 500 trades currently at 

315
00:16:06,960 --> 00:16:11,280
a 23 Ford PE ratio and Google's 
at a 19. 

316
00:16:11,720 --> 00:16:15,200
This company is trading at a 
significant discount to the S&P 

317
00:16:15,200 --> 00:16:19,400
500 while growing twice as fast.
When we look at the revenue 

318
00:16:19,400 --> 00:16:22,800
growth of Google, the continued 
strength of this company growing

319
00:16:22,800 --> 00:16:25,600
13%. 
I continue to believe that it's 

320
00:16:25,600 --> 00:16:28,320
highly likely the concerns that 
investors have about this 

321
00:16:28,320 --> 00:16:32,080
company are being overstated, 
that the disruption risk is 

322
00:16:32,080 --> 00:16:35,520
being overpriced into the stock,
and that investors today 

323
00:16:35,520 --> 00:16:38,880
continue to have an asymmetric 
risk with high upside and 

324
00:16:38,880 --> 00:16:41,240
limited downside. 
Google's trading up a little bit

325
00:16:41,240 --> 00:16:43,440
today. 
It's currently up 3% in a down 

326
00:16:43,440 --> 00:16:46,840
market that's down 1%. 
So it has a lot of alpha on the 

327
00:16:46,840 --> 00:16:49,160
day, and I think we're going to 
see a lot more of this in the 

328
00:16:49,160 --> 00:16:50,960
future. 
Now, Google still remains a 

329
00:16:50,960 --> 00:16:54,080
highly divisive stock amongst 
investors, with analysts like 

330
00:16:54,080 --> 00:16:56,600
Gene Munster continuing to 
insist that Google's the new 

331
00:16:56,600 --> 00:16:59,000
eBay. 
But we also have analysts like 

332
00:16:59,000 --> 00:17:02,160
Mark Mahaney saying that the 
death of Google has been 

333
00:17:02,160 --> 00:17:04,319
overstated. 
What it tells you is yeah, that 

334
00:17:04,319 --> 00:17:07,000
it's a, it's a more powerful 
search product. 

335
00:17:07,000 --> 00:17:11,520
It's more, it's it just, it's 
more, I think they use the term 

336
00:17:11,760 --> 00:17:14,319
it's more personalized, it's 
more intelligent and it's more 

337
00:17:14,319 --> 00:17:15,760
agentic. 
Whatever. 

338
00:17:15,760 --> 00:17:17,440
It just makes it a better search
product. 

339
00:17:17,440 --> 00:17:19,920
You create you to improve the 
search product, people are going

340
00:17:19,920 --> 00:17:21,560
to use it more. 
And I think that's one of the 

341
00:17:21,560 --> 00:17:24,520
reasons why I think the the 
death of search at Google is 

342
00:17:24,520 --> 00:17:27,280
been greatly exaggerated, 
overstated. 

343
00:17:27,480 --> 00:17:28,640
I think they're improving the 
product. 

344
00:17:28,640 --> 00:17:30,360
People are going to continue to 
search with Google. 

345
00:17:30,360 --> 00:17:32,320
I don't think you're going to 
see a dramatic share shift away 

346
00:17:32,320 --> 00:17:34,760
from Google if they continue to 
innovate the way that they have 

347
00:17:34,760 --> 00:17:36,320
the last year and what they're 
showing today. 

348
00:17:36,320 --> 00:17:38,640
Search was up 13% in the first 
quarter. 

349
00:17:38,640 --> 00:17:42,280
Operating margins were to 34%, 
which was their highest, as you 

350
00:17:42,280 --> 00:17:44,560
pointed out, in 12 years. 
I mean, this is just 

351
00:17:44,560 --> 00:17:47,600
extraordinary. 
So if they add more AI 

352
00:17:47,600 --> 00:17:50,160
functionality to the main page, 
is that going to push the ads 

353
00:17:50,160 --> 00:17:53,760
down? 
It could, it'll also make the 

354
00:17:53,760 --> 00:17:55,720
ads more relevant. 
Look, the name of the game isn't

355
00:17:55,720 --> 00:17:58,560
to show the most ads. 
The name of the game is to show 

356
00:17:58,560 --> 00:18:01,240
the most effective ads from a 
user's perspective. 

357
00:18:01,240 --> 00:18:03,520
Like I get the information that 
I want, but also from an 

358
00:18:03,520 --> 00:18:06,800
advertiser's perspective, which 
is I want the, I want that lead 

359
00:18:06,800 --> 00:18:08,960
that I'm paying to click for. 
I want that to convert really 

360
00:18:08,960 --> 00:18:11,080
well. 
And what Google is using AI to 

361
00:18:11,080 --> 00:18:14,320
do, it's not too dissimilar from
what Meta is doing, is using AI 

362
00:18:14,320 --> 00:18:17,480
to better capture intent. 
So the better qualify the lead 

363
00:18:17,480 --> 00:18:20,080
and it's an auction market. 
If the lead is more qualified, 

364
00:18:20,080 --> 00:18:23,000
if it's converts, better 
marketers will bid up for it. 

365
00:18:23,000 --> 00:18:26,320
So my guess is we've had, I 
think it's 11 to 15% revenue 

366
00:18:26,320 --> 00:18:28,760
growth out of search for Google 
for the last seven quarters. 

367
00:18:28,960 --> 00:18:31,480
I think there's a decent shot 
they do it again for the next 7 

368
00:18:31,480 --> 00:18:33,360
quarters. 
I think the, the growth in 

369
00:18:33,360 --> 00:18:35,960
search revenue is much more 
sustainable than market thinks. 

370
00:18:35,960 --> 00:18:38,320
If I'm right about that and they
keep showing us for the next 

371
00:18:38,320 --> 00:18:40,320
three or four quarters, I think 
the stock re rates. 

372
00:18:40,440 --> 00:18:43,480
And by the way, then there's the
rest of Google, which is YouTube

373
00:18:43,600 --> 00:18:45,960
Cloud and Waymo. 
And I think these, if you put 

374
00:18:45,960 --> 00:18:48,360
all those together, are just 
dramatically worth more than 

375
00:18:48,360 --> 00:18:50,160
where the stock is now. 
That's why it's our number one 

376
00:18:50,160 --> 00:18:52,400
pick. 
He points out that this product 

377
00:18:52,400 --> 00:18:56,920
that's under so much question is
still growing by 15% per quarter

378
00:18:57,280 --> 00:18:59,520
done so for the past seven 
quarters in a row. 

379
00:18:59,600 --> 00:19:01,920
He believes it's going to happen
for the next seven in a row. 

380
00:19:02,240 --> 00:19:06,560
If that happens, Google will re 
rate to a 25 PE, a 29 PE. 

381
00:19:06,800 --> 00:19:10,320
It'll go back up to that sub 
premium category away from being

382
00:19:10,320 --> 00:19:13,640
discounted below the market. 
If that happens, it'll show that

383
00:19:13,640 --> 00:19:16,040
Google is dramatically 
undervalued at this point. 

384
00:19:16,080 --> 00:19:18,800
He also points out that the 
other properties making up half 

385
00:19:18,800 --> 00:19:23,040
of Google, which is YouTube, 
Android, Cloud and Waymo are all

386
00:19:23,040 --> 00:19:25,240
great properties that have 
strong growth. 

387
00:19:25,240 --> 00:19:26,920
These are very valuable 
properties. 

388
00:19:27,280 --> 00:19:30,640
This company generates $70 
billion per year and is trading 

389
00:19:30,640 --> 00:19:33,800
below $2 trillion. 
So I believe, like Mark Mahaney,

390
00:19:33,800 --> 00:19:35,480
that Google is undervalued right
now. 

391
00:19:35,720 --> 00:19:39,200
We'll see what happens with the 
search query growth with Google 

392
00:19:39,200 --> 00:19:40,560
search. 
We'll see if the revenue 

393
00:19:40,560 --> 00:19:43,280
continues to grow. 
If it does, we're going to see 

394
00:19:43,280 --> 00:19:45,240
the stock higher. 
Now moving on, we get to the 

395
00:19:45,240 --> 00:19:48,520
other big news, which was Elon 
Musk sat down for an interview 

396
00:19:48,520 --> 00:19:50,680
and he answered a lot of tough 
questions directly. 

397
00:19:50,680 --> 00:19:53,320
And one of the first things he 
talks about in this interview is

398
00:19:53,320 --> 00:19:56,760
the subject of timelines. 
We know that this is a difficult

399
00:19:56,760 --> 00:20:00,320
subject for Tesla because in so 
many cases, Elon Musk has thrown

400
00:20:00,320 --> 00:20:03,240
out timelines that have been 
pushed back again and again and 

401
00:20:03,240 --> 00:20:05,520
again, specifically with a robot
taxi. 

402
00:20:05,520 --> 00:20:09,000
This one feels like Elon Musk is
no longer going to push it back 

403
00:20:09,000 --> 00:20:12,400
or delay. 
He is set on releasing Robotaxi 

404
00:20:12,400 --> 00:20:14,400
in June. 
Are you going to have full 

405
00:20:14,400 --> 00:20:17,040
autonomous on the roads of 
Austin at the end by the end of 

406
00:20:17,040 --> 00:20:18,360
June? 
Yes, you are. 

407
00:20:18,680 --> 00:20:23,440
What gives you that confidence? 
We we have cars driving 24/7 

408
00:20:23,440 --> 00:20:28,040
with drivers in the cars and we 
see essentially no 

409
00:20:28,040 --> 00:20:29,760
interventions. 
So he's saying quite 

410
00:20:29,760 --> 00:20:32,040
definitively that they're 
sticking to this timeline. 

411
00:20:32,080 --> 00:20:36,120
They will have cars on the road 
without drivers in Austin by the

412
00:20:36,120 --> 00:20:38,880
end of next month. 
And then he gives a timeline of 

413
00:20:38,960 --> 00:20:42,560
how it's going to ramp up. 
At what scale will Tesla start? 

414
00:20:42,560 --> 00:20:44,920
And then how many vehicles will 
they add over time? 

415
00:20:45,720 --> 00:20:48,080
Well, we'll have to see how, how
well it it does. 

416
00:20:48,080 --> 00:20:51,800
But you know, I think it's 
prudent for us to start with a 

417
00:20:51,800 --> 00:20:55,520
small number, confirm that 
things going well, and then 

418
00:20:55,720 --> 00:20:58,240
scale it up proportionate to how
well we see it's doing. 

419
00:20:58,720 --> 00:21:00,000
Right. 
And what's going to be a judge 

420
00:21:00,000 --> 00:21:02,640
of how well it's doing? 
Wait, are there any incidents? 

421
00:21:03,120 --> 00:21:05,080
Are there any, any 
interventions? 

422
00:21:06,480 --> 00:21:11,080
And but we, we want to be, we 
wanted to deliberately take it 

423
00:21:11,080 --> 00:21:14,440
slow and we could start with 
1000 or 10,000 on day one, but 

424
00:21:15,080 --> 00:21:16,320
we, I don't think that would be 
prudent. 

425
00:21:16,320 --> 00:21:20,680
So we'll start with probably 10 
for a for a week, then increase 

426
00:21:20,680 --> 00:21:28,240
it to 203040 and I think by say 
yeah would probably be at 1000 

427
00:21:28,240 --> 00:21:30,440
within a few months. 
So he says that they might have 

428
00:21:30,440 --> 00:21:34,280
1000 in just a few months as 
operating robo taxis. 

429
00:21:34,640 --> 00:21:37,160
Now, that doesn't sound like a 
lot, just 1000, because when you

430
00:21:37,160 --> 00:21:41,320
look at Ubers, 1000 isn't a lot.
But as a robo taxi, that is a 

431
00:21:41,320 --> 00:21:44,720
ton. 
Robo taxis work 16 hours a day. 

432
00:21:45,120 --> 00:21:48,680
They can go out all the time. 
Even Waymo that's operating in 

433
00:21:48,680 --> 00:21:51,840
multiple cities that just 
completed 10 million paid rides 

434
00:21:51,880 --> 00:21:54,720
only has a bit over 1000 
operational robo taxis. 

435
00:21:54,720 --> 00:21:56,840
The fact that they're working 
around the clock is why they're 

436
00:21:56,840 --> 00:21:59,720
so effective. 
In fact, in Los Angeles, robo 

437
00:21:59,720 --> 00:22:03,400
taxis from Waymo are doing more 
business than all of Lyft. 

438
00:22:03,760 --> 00:22:06,480
So they are highly efficient 
when you have them operational. 

439
00:22:06,800 --> 00:22:10,360
But Elon Musk is suggesting that
in only a couple months Tesla 

440
00:22:10,360 --> 00:22:13,720
could pass Waymo in the amount 
of operational robo taxis. 

441
00:22:13,840 --> 00:22:15,200
No. 
Next he's asked an important 

442
00:22:15,200 --> 00:22:17,600
question. 
He's asked to compare what 

443
00:22:17,600 --> 00:22:20,560
Tesla's doing with their 
technology perspective against 

444
00:22:20,560 --> 00:22:24,000
Waymo. 
As we know, Tesla is vision only

445
00:22:24,000 --> 00:22:26,320
camera only. 
They're not using any type of 

446
00:22:26,320 --> 00:22:28,840
sensors that you have on the 
fenders of the vehicle and 

447
00:22:28,840 --> 00:22:31,640
they're not using the Lidar, 
which are the lasers that create

448
00:22:31,640 --> 00:22:34,360
awareness of the distance of 
different objects relative to 

449
00:22:34,360 --> 00:22:36,160
the vehicle. 
Now Waymo's doing the strategy 

450
00:22:36,160 --> 00:22:38,920
of all three of these. 
They have LIDAR, they have many 

451
00:22:38,920 --> 00:22:40,760
cameras and they they have 
sensors. 

452
00:22:41,080 --> 00:22:43,960
They combine all of these inputs
together to make it a very safe 

453
00:22:43,960 --> 00:22:45,960
vehicle. 
And that's what's been tested 

454
00:22:45,960 --> 00:22:48,720
with Waymo's. 
Waymo credits this combination 

455
00:22:48,720 --> 00:22:51,720
of different safety factors to 
the reason that they have almost

456
00:22:51,720 --> 00:22:54,400
no incidents and they've had no 
deaths with their vehicles. 

457
00:22:54,600 --> 00:22:57,160
When you compare that again to 
Tesla, they're going down the 

458
00:22:57,160 --> 00:23:00,640
route and they're sticking with 
it with vision only. 28 cameras 

459
00:23:00,640 --> 00:23:03,120
that got Lidar and radar. 
You've had a different approach,

460
00:23:03,160 --> 00:23:06,520
6, I think 8 to 9 cameras and 
the neural network. 

461
00:23:06,520 --> 00:23:09,240
Why do you feel that that is 
going to be the equivalent in 

462
00:23:09,240 --> 00:23:12,160
terms of safety profile? 
Oh, I think it'll be better. 

463
00:23:12,280 --> 00:23:16,480
Why? 
Because the the way that the 

464
00:23:16,480 --> 00:23:18,640
road system is designed is for 
AI. 

465
00:23:19,080 --> 00:23:21,480
It's basically, I should say 
it's for intelligence, 

466
00:23:21,880 --> 00:23:25,640
biological neural net and eyes. 
That's how the whole Rd. system 

467
00:23:25,640 --> 00:23:27,920
is designed. 
So that what will actually work 

468
00:23:27,920 --> 00:23:30,800
best for the road system is 
artificial intelligence, digital

469
00:23:30,800 --> 00:23:34,600
neural Nets and cameras. 
And that we we'll also have the 

470
00:23:34,680 --> 00:23:37,120
microphones, the car can hear 
emergency vehicles, that kind of

471
00:23:37,120 --> 00:23:40,600
thing, right? 
Yeah, you need to 'cause that 

472
00:23:40,600 --> 00:23:42,560
was a question, right? 
You need to hear a fire engine 

473
00:23:42,560 --> 00:23:43,880
or a police car. 
Yes, exactly. 

474
00:23:43,920 --> 00:23:46,480
Right. 
So, but that's, that's how the 

475
00:23:46,480 --> 00:23:50,320
whole Rd. system's designed. 
It's not designed for shooting 

476
00:23:50,320 --> 00:23:52,760
lasers out of your eyes. 
Elon Musk has stated over and 

477
00:23:52,760 --> 00:23:55,120
over again he's made this point 
many times. 

478
00:23:55,120 --> 00:23:58,880
In fact, he said it ad nauseam 
that roads are designed for 

479
00:23:58,880 --> 00:24:02,400
humans and that's the reason 
that Tesla is pursuing the path 

480
00:24:02,400 --> 00:24:04,840
of vision only. 
They're just like humans. 

481
00:24:04,840 --> 00:24:07,280
You see what's outside. 
That's how roads were designed. 

482
00:24:07,480 --> 00:24:11,320
So it makes sense to create the 
car exactly like it was designed

483
00:24:11,320 --> 00:24:14,360
for humans. 
Now he says that point and it 

484
00:24:14,480 --> 00:24:16,400
kind of makes sense at first. 
You hear that and you go, oh, 

485
00:24:16,400 --> 00:24:18,960
that, that makes sense. 
Roads are designed for vision 

486
00:24:18,960 --> 00:24:20,520
only. 
That's what humans have. 

487
00:24:20,720 --> 00:24:23,280
Maybe hearing as well. 
They have a mic as well, but 

488
00:24:23,280 --> 00:24:25,160
those are the two inputs. 
You just have the vision. 

489
00:24:25,240 --> 00:24:27,920
After all, as he mentions, 
humans aren't shooting lasers 

490
00:24:27,920 --> 00:24:29,680
out of their eyes. 
In fact, that seems silly. 

491
00:24:29,960 --> 00:24:32,240
Why would they do that when 
human drivers aren't doing that?

492
00:24:32,360 --> 00:24:34,920
But then Elon Musk always makes 
It's a different point that 

493
00:24:34,920 --> 00:24:36,880
seems to conflict with this 
point. 

494
00:24:36,960 --> 00:24:39,160
Here's another point that he 
brings up in the same interview 

495
00:24:39,160 --> 00:24:42,160
just seconds earlier. 
In order for that to be the 

496
00:24:42,160 --> 00:24:45,240
case, we we want the autonomous 
car to be much safer than a car 

497
00:24:45,240 --> 00:24:46,360
driven by a person. 
Right. 

498
00:24:46,440 --> 00:24:50,480
We want the robo taxi car to be 
much safer than a car driven by 

499
00:24:50,480 --> 00:24:52,720
a person. 
In Tesla's most recent earnings 

500
00:24:52,720 --> 00:24:56,000
call, Elon Musk said that the 
robo taxi has to be orders of 

501
00:24:56,000 --> 00:24:58,760
magnitude safer than the average
human driver. 

502
00:24:59,400 --> 00:25:02,520
So in one point, Elon Musk is 
saying that the reason we're 

503
00:25:02,520 --> 00:25:05,280
designing our vehicles to only 
have vision is because that's 

504
00:25:05,280 --> 00:25:07,760
how humans drive. 
It just makes sense to drive 

505
00:25:07,760 --> 00:25:10,640
just like humans drive. 
But then in the next he says 

506
00:25:10,640 --> 00:25:14,640
that the the bar, the standard 
for robo taxis is to be orders 

507
00:25:14,640 --> 00:25:18,160
of magnitude safer than humans. 
Well, I would argue that these 

508
00:25:18,160 --> 00:25:20,040
two points conflict with each 
other. 

509
00:25:20,280 --> 00:25:23,560
Why does it make sense to design
a vehicle exactly like humans 

510
00:25:23,560 --> 00:25:26,840
drive if the goal is to make 
them drive much safer than 

511
00:25:26,840 --> 00:25:29,120
humans? 
In fact, a way that you could 

512
00:25:29,120 --> 00:25:32,840
possibly make human drivers 
safer orders of magnitude safer 

513
00:25:33,120 --> 00:25:36,080
is if they had some special 
ability to shoot lasers out of 

514
00:25:36,080 --> 00:25:38,520
their eyes and immediately 
measure the distance of 

515
00:25:38,520 --> 00:25:40,320
different objects relative to 
themselves. 

516
00:25:40,680 --> 00:25:44,480
Especially in very difficult 
conditions like cloud or rain or

517
00:25:44,480 --> 00:25:48,480
dark conditions where cameras or
our eyes can be deceptive. 

518
00:25:48,680 --> 00:25:51,400
Our eyes can struggle with low 
light conditions or sun glare, 

519
00:25:51,400 --> 00:25:54,560
or fog or extreme rain. 
There's lots of scenarios where 

520
00:25:54,560 --> 00:25:57,280
the human eye is inferior to 
LIDAR. 

521
00:25:57,760 --> 00:26:00,360
So while Elon Musk makes these 
two points that seem 

522
00:26:00,360 --> 00:26:03,840
contradictory, we're designing 
Teslas to fit the road of 

523
00:26:03,840 --> 00:26:07,200
humans, but we need Teslas to be
orders of magnitude safer than 

524
00:26:07,200 --> 00:26:09,600
humans. 
You have Waymo that is making 

525
00:26:09,600 --> 00:26:13,120
them orders of magnitude safer 
than humans by having better 

526
00:26:13,120 --> 00:26:16,160
technology than humans. 
Now, Tesla investors continually

527
00:26:16,160 --> 00:26:19,560
mock Waymo for their LIDAR 
because it looks a little goofy.

528
00:26:19,920 --> 00:26:22,360
And in some cases, Waymos can 
even do silly things. 

529
00:26:22,360 --> 00:26:25,600
They can block traffic, they can
get stuck, they can go in 

530
00:26:25,600 --> 00:26:28,800
circles or do funny things. 
But so far there's been no 

531
00:26:28,800 --> 00:26:32,000
serious video of a Waymo being 
in a near death collision. 

532
00:26:32,360 --> 00:26:35,400
There's been no truly 
frightening video of a Waymo. 

533
00:26:35,800 --> 00:26:38,720
When we look at examples like 
this, like there's a video here 

534
00:26:38,920 --> 00:26:41,920
that this was going viral 
amongst Tesla investor circles. 

535
00:26:42,360 --> 00:26:45,400
And this is of a Waymo driving 
through this, this deep puddle. 

536
00:26:45,640 --> 00:26:49,040
Obviously the the LIDAR and the 
the cameras themselves can't 

537
00:26:49,040 --> 00:26:51,640
look at how deep this puddle is,
so it goes through it. 

538
00:26:52,160 --> 00:26:54,440
It bounces a bit. 
It's a rocky ride. 

539
00:26:54,840 --> 00:26:57,920
I think this is probably more of
a fault of the roads in LA than 

540
00:26:57,920 --> 00:26:59,840
the Waymo itself. 
But either way, these are the 

541
00:26:59,840 --> 00:27:01,720
type of mistakes that Waymo's 
are making. 

542
00:27:02,080 --> 00:27:03,800
They're driving through deep 
puddles. 

543
00:27:03,800 --> 00:27:05,480
Sometimes they get stuck in 
traffic. 

544
00:27:05,760 --> 00:27:08,040
That's what we see when we 
compare that with some of the 

545
00:27:08,040 --> 00:27:10,640
footage we've seen from full 
self driving, especially in edge

546
00:27:10,640 --> 00:27:13,080
cases, again, like cloudy 
conditions like we're seeing in 

547
00:27:13,080 --> 00:27:15,320
this one, they can be truly 
frightening. 

548
00:27:15,360 --> 00:27:18,000
Here's one example of a 
terrifying edge case of full 

549
00:27:18,000 --> 00:27:29,800
self driving. 
The person that posted this 

550
00:27:29,800 --> 00:27:32,240
video said they've owned their 
Tesla for less than a year and 

551
00:27:32,240 --> 00:27:35,240
within the last six months alone
it's tried twice to drive 

552
00:27:35,240 --> 00:27:37,800
straight into a train. 
Now I'm not bringing this up to 

553
00:27:37,800 --> 00:27:41,320
bash Tesla, that's not my goal, 
But it's to illustrate that 

554
00:27:41,320 --> 00:27:44,680
these Lidar sensors come in with
those edge cases. 

555
00:27:44,840 --> 00:27:47,760
The difficult part with full 
self driving, a robo taxi is not

556
00:27:47,760 --> 00:27:51,680
to do a normal drive in great 
conditions with no edge cases. 

557
00:27:52,160 --> 00:27:54,840
There's most full self driving 
systems or any similar system 

558
00:27:54,840 --> 00:27:57,960
that can accomplish that. 
It's the unique cases, the edge 

559
00:27:57,960 --> 00:28:00,400
cases that define whether this 
technology works. 

560
00:28:00,680 --> 00:28:02,640
So far, Waymo has proven that 
out. 

561
00:28:02,960 --> 00:28:05,280
Tesla hasn't, and there's still 
a question of whether or not 

562
00:28:05,280 --> 00:28:08,640
Tesla can truly rule out these 
type of edge cases without the 

563
00:28:08,640 --> 00:28:10,640
use of Lidar. 
Now moving on, we get to another

564
00:28:10,640 --> 00:28:13,320
news story that's being ignored 
by the media, which is the 

565
00:28:13,720 --> 00:28:16,200
dramatic fall in stock price of 
FICO. 

566
00:28:16,320 --> 00:28:21,600
The company is down 14% today, 
so huge fall and share price 

567
00:28:21,600 --> 00:28:23,360
today. 
And then on the week it's been 

568
00:28:23,360 --> 00:28:25,040
down even more. 
In fact, if we go out just to 

569
00:28:25,040 --> 00:28:28,800
the past week, it's down 23%. 
Now, Fico's not the only one. 

570
00:28:29,120 --> 00:28:32,760
We also have the credit bureaus.
Equifax in particular is down 7%

571
00:28:32,760 --> 00:28:34,200
today. 
So it's giving up some of its 

572
00:28:34,200 --> 00:28:35,720
gains. 
If we look over the past week, 

573
00:28:36,040 --> 00:28:39,880
it's not down quite as much as 
FICO, only 4%, but it has given 

574
00:28:39,880 --> 00:28:43,680
up a lot of its gains, going 
down from 280 now to 260. 

575
00:28:43,680 --> 00:28:45,120
What is going on with these 
companies? 

576
00:28:45,120 --> 00:28:48,520
Why is FICO down so much today? 
Well, this has everything to do 

577
00:28:48,520 --> 00:28:51,840
with the new Federal Housing 
Finance Agency director, Bill 

578
00:28:51,840 --> 00:28:54,600
Poulton. 
He is addressing the obese 

579
00:28:54,600 --> 00:28:57,120
Fannie Mae and Freddie Mac, and 
he's putting them on a 

580
00:28:57,120 --> 00:28:59,240
treadmill. 
Bill Poulte was at a conference 

581
00:28:59,240 --> 00:29:02,120
and he made remarks that were 
aggressively directed at 

582
00:29:02,120 --> 00:29:06,320
expenses in mortgage assessment 
costs, specifically with FICO. 

583
00:29:06,320 --> 00:29:09,920
In particular, Bill Poulte was 
asked about the Trimerge credit 

584
00:29:09,920 --> 00:29:12,600
scoring and converting that to 
buy Merge credit scoring. 

585
00:29:12,920 --> 00:29:15,720
Now, right now, you currently 
get your credit score from all 

586
00:29:15,720 --> 00:29:17,960
three credit bureaus. 
That's how you get mortgages. 

587
00:29:18,240 --> 00:29:20,440
And he wants to change that to 
where you only get it from 2. 

588
00:29:20,600 --> 00:29:23,080
And Pulte said that they're 
actively looking at getting it 

589
00:29:23,080 --> 00:29:23,760
done. 
Quote. 

590
00:29:23,760 --> 00:29:26,440
I think FICO should make sure 
that they're being as economic 

591
00:29:26,440 --> 00:29:28,400
as possible. 
We're actively looking at 

592
00:29:28,400 --> 00:29:30,680
getting it done. 
I don't like some of the things 

593
00:29:30,680 --> 00:29:33,720
I've heard in terms of cost. 
It's only a couple sentences, 

594
00:29:33,720 --> 00:29:36,480
but it was enough to drop Fico's
stock by 20%. 

595
00:29:36,520 --> 00:29:39,000
Now, why are FICO investors so 
concerned about this? 

596
00:29:39,000 --> 00:29:41,760
After all, it can't be that 
concerning to switch from three 

597
00:29:41,760 --> 00:29:44,920
credit bureaus to two, right? 
Well, there's more to it. 

598
00:29:45,360 --> 00:29:47,400
If you understand the way that 
FICO makes money. 

599
00:29:48,040 --> 00:29:50,960
Everybody knows that this 
company has the FICO score, the 

600
00:29:50,960 --> 00:29:53,680
score that you get when you're 
applying for a mortgage or any 

601
00:29:53,680 --> 00:29:56,600
big purchase. 
It's to assess your credibility 

602
00:29:56,840 --> 00:29:59,680
and allow the lender a better 
look at what type of interest 

603
00:29:59,680 --> 00:30:01,600
rate you get. 
That way they can price their 

604
00:30:01,600 --> 00:30:03,840
loans in the interest rate more 
appropriately. 

605
00:30:04,280 --> 00:30:06,520
So that's the basis of Fico's 
business. 

606
00:30:06,840 --> 00:30:09,680
But more specifically, the way 
that they sell these loans is 

607
00:30:09,680 --> 00:30:12,160
they have licenses with all 
three credit bureaus. 

608
00:30:12,320 --> 00:30:14,800
You have Experian, you have 
TransUnion, and you have 

609
00:30:14,800 --> 00:30:18,280
Equifax. 
FICO licenses their score and 

610
00:30:18,280 --> 00:30:20,560
their algorithm to all three of 
these companies. 

611
00:30:20,960 --> 00:30:24,120
When a customer wants to buy a 
home and they have to get a 

612
00:30:24,120 --> 00:30:27,520
mortgage, they get their credit 
pulled, which is a trimerge, 

613
00:30:27,720 --> 00:30:30,000
meaning that they pull their 
credit from all three credit 

614
00:30:30,000 --> 00:30:32,200
bureaus. 
Every credit Bureau has their 

615
00:30:32,200 --> 00:30:36,800
own unique FICO score, so there 
is a FICO Equifax score, FICO 

616
00:30:36,800 --> 00:30:39,880
TransUnion score, and so on. 
When you look at these scores, 

617
00:30:39,880 --> 00:30:42,840
sometimes they differ because 
they have different data sets 

618
00:30:42,840 --> 00:30:44,480
and different algorithms behind 
them. 

619
00:30:45,000 --> 00:30:48,040
And so you can have a situation,
for example, like the TransUnion

620
00:30:48,040 --> 00:30:52,160
score being a 5, the Equifax 
being a four, and the Experian 

621
00:30:52,160 --> 00:30:55,560
being a six. 
In that case, what happens is 

622
00:30:55,560 --> 00:30:57,920
the lender will use a 
combination of all three scores,

623
00:30:57,920 --> 00:31:00,360
usually the mean of them, and 
that's what you get with your 

624
00:31:00,360 --> 00:31:02,720
credit rating. 
You take all three data inputs, 

625
00:31:02,720 --> 00:31:05,560
you combine it together and 
that's what dictates your credit

626
00:31:05,560 --> 00:31:08,720
score and your interest rate. 
Now, if Bill Polt a successful 

627
00:31:08,720 --> 00:31:11,880
here in turning this from a 
Trimerge into a by merge poll, 

628
00:31:12,240 --> 00:31:14,000
that means that you're not 
pulling from all three credits, 

629
00:31:14,000 --> 00:31:15,560
you're just pulling from two of 
the three. 

630
00:31:15,960 --> 00:31:18,800
You'd presumably pick two 
different ones every time that 

631
00:31:18,800 --> 00:31:21,680
they pull credit, and either way
you would only have two of those

632
00:31:21,680 --> 00:31:23,800
data points. 
So the credit score in and of 

633
00:31:23,800 --> 00:31:26,120
itself may not be quite as 
accurate because you're missing 

634
00:31:26,120 --> 00:31:29,640
out on one credit Bureau, but it
would be cheaper because again, 

635
00:31:29,640 --> 00:31:33,320
FICO licenses with all three. 
Every time you have a Trimerge 

636
00:31:33,320 --> 00:31:36,200
score, all three credit bureaus 
are paying FICO. 

637
00:31:36,680 --> 00:31:40,280
So if you change that to two, 
that essentially wipes away 

638
00:31:40,280 --> 00:31:44,880
around 33% of Fico's score 
revenue every single poll. 

639
00:31:44,880 --> 00:31:49,000
So in very simple terms, this is
as if Fico's losing 33% of their

640
00:31:49,000 --> 00:31:52,120
customer base with their high 
margin credit business. 

641
00:31:52,120 --> 00:31:54,520
Now of course, that's a big 
simplification, but you can see 

642
00:31:54,520 --> 00:31:57,280
the concern here. 
If this goes through, it could 

643
00:31:57,280 --> 00:32:01,120
impact materially Fico's free 
cash flow and their earnings. 

644
00:32:01,600 --> 00:32:04,800
Now when we look at Equifax, 
this company is also trading 

645
00:32:04,800 --> 00:32:08,120
down a bit with the rest of the 
credit bureaus, but albeit not 

646
00:32:08,120 --> 00:32:11,320
as much as FICO. 
The reason that Equifax is a bit

647
00:32:11,320 --> 00:32:14,480
less exposed to this is first of
all, out of the three credit 

648
00:32:14,480 --> 00:32:17,440
bureaus, if we move to a by 
merge credit pulling system 

649
00:32:17,440 --> 00:32:20,760
where we could only pick 2, 
Equifax and TransUnion are the 

650
00:32:20,760 --> 00:32:23,320
most likely to be picked on the 
most common basis. 

651
00:32:23,560 --> 00:32:25,800
They have the most data, they're
at the cheapest prices. 

652
00:32:26,080 --> 00:32:28,640
Experian would be the one that 
would likely suffer the most. 

653
00:32:28,760 --> 00:32:31,920
So even though simple math would
dictate Equifax's picked only 

654
00:32:31,920 --> 00:32:34,840
66% of the time, the odds are 
that they would be picked more 

655
00:32:34,840 --> 00:32:37,120
like 80% of the time. 
But I'll also mention that 

656
00:32:37,120 --> 00:32:39,880
Equifax is simply more 
diversified when we look at what

657
00:32:39,880 --> 00:32:41,680
they're doing. 
The reason that I'm investing in

658
00:32:41,680 --> 00:32:44,520
this company primarily is 
because of their workforce 

659
00:32:44,520 --> 00:32:48,120
solution, the work number, their
verification of previous 

660
00:32:48,120 --> 00:32:50,800
employment, that is the product 
that's growing the most, that 

661
00:32:50,800 --> 00:32:54,160
has the highest margins. 
The credit scoring is nice. 

662
00:32:54,240 --> 00:32:56,680
It's a a nice business. 
It gives them a lot of data to 

663
00:32:56,680 --> 00:32:59,480
work with, but it's not the most
important part of the investment

664
00:32:59,480 --> 00:33:01,560
thesis. 
So Equifax will certainly be 

665
00:33:01,560 --> 00:33:04,480
impacted by this if it goes 
through, but it's not going to 

666
00:33:04,480 --> 00:33:06,280
be to the same detriment as 
FICO. 

667
00:33:06,560 --> 00:33:09,120
Now moving on, we get to the 
fail of the week, which this 

668
00:33:09,120 --> 00:33:11,600
time we're going to highlight 
the company Klarna. 

669
00:33:12,040 --> 00:33:16,600
This company is reportedly 
seeing widening losses, lots of 

670
00:33:16,600 --> 00:33:19,240
losses, as people are not 
repaying their loans. 

671
00:33:19,560 --> 00:33:22,720
Now, if we look at the business 
model of Klarna, the way that 

672
00:33:22,720 --> 00:33:26,400
this company makes money is by 
exploiting one of the worst 

673
00:33:26,400 --> 00:33:30,640
parts of American consumerism, 
which is overspending, getting 

674
00:33:30,640 --> 00:33:33,560
into debt, not being able to pay
back your loans, destroying your

675
00:33:33,560 --> 00:33:35,960
credit. 
Now, credit card companies do 

676
00:33:35,960 --> 00:33:38,960
this to some degree, but Klarna 
here took it to a whole new 

677
00:33:38,960 --> 00:33:41,600
level, extending enormous 
amounts of credit to people that

678
00:33:41,600 --> 00:33:43,520
have no business having this 
credit. 

679
00:33:43,640 --> 00:33:46,000
And Klarna is now seeing the 
obvious outcomes of that. 

680
00:33:46,480 --> 00:33:49,440
Klarna SOTS losses jump in the 
first quarter as a popular buy 

681
00:33:49,440 --> 00:33:53,600
now, pay later firm applies the 
brakes on a hotly anticipated US

682
00:33:53,600 --> 00:33:56,600
initial public offering. 
Swedish payment startup said 

683
00:33:56,600 --> 00:34:00,640
it's net losses for the first 
three months of 2025 totaled 99 

684
00:34:00,640 --> 00:34:04,000
million, significantly worse 
than the 47 million loss it 

685
00:34:04,000 --> 00:34:06,640
reported a year ago. 
Klarna said that it was due to 

686
00:34:06,640 --> 00:34:09,880
several one off costs related to
depreciation, share based 

687
00:34:09,880 --> 00:34:12,400
payment and restructuring. 
Now, even though Klarna wants to

688
00:34:12,400 --> 00:34:15,400
blame a lot of one time items 
like depreciation and so on, 

689
00:34:15,719 --> 00:34:18,880
they do have to mention that 
credit losses with their product

690
00:34:18,880 --> 00:34:23,120
are up 17% year over year. 
So as they continue to loan more

691
00:34:23,120 --> 00:34:26,239
and more people, they're finding
that these people don't want to 

692
00:34:26,239 --> 00:34:28,199
pay it back. 
And that brings up an 

693
00:34:28,199 --> 00:34:30,920
interesting point here. 
If we really simplify what 

694
00:34:30,920 --> 00:34:34,239
Klarna is doing here, they're 
taking investor capital, 

695
00:34:34,360 --> 00:34:37,040
diluting investors, taking their
money and providing it to 

696
00:34:37,320 --> 00:34:40,239
customers, customers that want 
to pay for their Crunchwrap 

697
00:34:40,239 --> 00:34:42,639
Supreme in four easy installment
payments. 

698
00:34:42,920 --> 00:34:44,560
That's the demo that they're 
targeting. 

699
00:34:45,000 --> 00:34:48,560
And now we're starting to see 
the first early cracks in this 

700
00:34:48,560 --> 00:34:51,239
investment plan. 
So we'll see how this one works 

701
00:34:51,239 --> 00:34:53,520
out over time. 
But as of now, because of the 

702
00:34:53,520 --> 00:34:56,480
rise in the credit losses, 
they're delaying their IPO and 

703
00:34:56,480 --> 00:34:59,280
they are the fail of the week. 
That's all for this episode. 

704
00:34:59,400 --> 00:35:00,200
See you in the next one.
