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Welcome back, everyone. 
Today on the Joseph Carlson 

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Show, the tech rally showing 
signs of losing steam 

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specifically for AI companies. 
We're seeing this now in the 

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data. 
A lot of investors are getting a

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little bit nervous. 
In fact, they're selling out 

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more than they're buying in. 
The market's been flat and even 

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down a couple days now, even 
though interest rates are being 

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lowered. 
So what do we make of this? 

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Well, we're going to be looking 
at some of the data and the 

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reason that investors are now 
becoming nervous. 

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Now, we also have a lot of other
news to get to in this episode. 

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For example, the Trump 
administration, the US 

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government is now taking an 
equity stake in Intel of 10%. 

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Is it a good idea for the 
government to be buying private 

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companies? 
And what is the purpose of doing

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this in the 1st place? 
We'll be discussing. 

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We also have Google stock now 
surging to all time highs. 

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This one seems to be on a 
winning streak and now that it's

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at all time highs, does that 
mean that it's expensive? 

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We'll be looking at Google stock
with a discounted cash flow 

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analysis to try to determine 
whether or not this company's 

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expensive. 
Now, we also have a lot of other

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news. 
There's Netflix with K Pop 

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demons making it into the box 
office. 

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This is bolstered Netflix's 
stock. 

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We have the CEO of Uber going on
an interview and talking about 

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the technology between Waymo and
Tesla and his take on it. 

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And we have our financial TikTok
review. 

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We have someone that says that 
he has the solution to the 

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United States $37 trillion debt 
problem. 

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He has it solved. 
In fact, he's willing to solve 

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it himself. 
We'll be looking at his solution

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in this episode as well. 
So we have a ton to get to in 

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this episode. 
And we start things off today 

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with the signs that we're 
seeing, the data that we're 

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seeing that this tech rally is 
losing steam. 

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Now as we look at the data here,
I first just want to point out 

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over the past year, not even 
just year to date, but in the 

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past trailing year, if you 
haven't been making money, I 

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think you've been doing 
something wrong. 

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It's just you got to switch your
strategy. 

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If you're not making money, you 
should be making money, 

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especially in bull markets. 
You should be making a lot of 

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money in bull markets and that's
what these portfolios have done.

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For example, the passive income 
portfolio, my main one here, has

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made around $100,000 in gains in
the past trailing year. 

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That's not additions, that's not
me contributing money. 

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That's in gains. 
And this year we've made around 

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$50,000 in gains, so $100,000 
over the trailing 12 months. 

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Just year to date, it's around 
50,000. 

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Now, which companies are 
contributing so much over just 

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the past year? 
Well, we have companies like 

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Booking Holdings. 
This one's up huge over the past

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year. 
This is one of the best 

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investments that I've made 
recently. 

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Microsoft is another huge 
gainer, around a $40,000 gain on

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that one. 
S&P Global has been great. 

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MasterCard has been great in the
Story Fund in just the past 

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year. 
Netflix, which was already my 

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largest position, grew bigger 
and bigger. 

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Of the $84,000 in gains, around 
60,000 of that is in the 

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trailing one year. 
And then almost all my gains in 

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Amazon are in the past year as 
well, $45,000 of gains, like 

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30,000 plus of that is in the 
trailing one year. 

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Of course, Google, Microsoft, 
and S&P Global have helped out 

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as well. 
This tech rally has been really 

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great for investors that have 
taken advantage of it, that have

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positioned their portfolios 
correctly. 

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But now we see news that it 
could be coming to an end, or at

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least slowing down. 
The prospect of a lower core 

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interest rates is boosting many 
parts of the market. 

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Real estate firms, banks, 
manufacturers. 

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But the outlook for Wall 
Street's most popular stocks, 

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the Magnificent 7 tech giants 
that have led major index to 

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record highs is much less clear.
The market leaders these mag 

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seven companies have been 
buffeted recently by questions 

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about the potential for 
artificial intelligence, 

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concerns about their 
increasingly stretched 

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valuations and competition from 
hitherto unloved parts of the 

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market. 
So we have increasing 

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competition. 
We have concerns in doubt about 

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AI as well. 
In the coming days, the tech 

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sector will face a key test when
NVIDIA, the world's most 

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valuable listed company, reports
earnings. 

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What investors learn there could
be key to further gains. 

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So this week we have the big one
in question, NVIDIA, and they're

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going to be reporting their 
earnings and giving guidance for

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next quarter. 
Now when NVIDIA gives guidance, 

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that's the more important part 
because they can either guide 

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higher or substantially higher, 
showing that there's still 

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continued momentum and increase 
in exponential growth or they 

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can guide down and say that 
growth is actually decelerating 

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a little bit. 
We're not going to be guiding up

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as much. 
You know, we're going to be 

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cooling off for a period and 
that could cause the market 

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great concern if that happens. 
We have investors getting ahead 

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of this. 
One of them is Josh Boyer, 43. 

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He said he's trimmed his 
exposure to make a cap tech 

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stocks like NVIDIA, Microsoft 
and Meta by around 25% in recent

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days. 
The Phoenix resident said that 

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shares have grown expensive 
relative to the company's 

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earnings and said that he is 
satisfied with the outside 

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returns over the past several 
months. 

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Quote, anytime I see them 
getting top heavy, I'm totally 

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fine taking some money off the 
table, he said. 

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So this is an investor, which I 
think is very reasonable. 

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I don't think he's dumb for 
doing this. 

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He's looking at these companies,
Meta, Microsoft and NVIDIA. 

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He's looking at the incredible 
erformance they've had, the 

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valuation expansion overtime, 
and he's taking 25% off the 

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table. 
Seems like very reasonable, I 

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think even good portfolio 
management. 

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And apparently he's not alone in
this. 

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There's a lot of people selling 
out of tech companies 

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specifically, even though Jay 
Powell signaled that he's going 

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to be lowering interest rates. 
So this seems counterintuitive, 

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but a lot of people are choosing
to do this. 

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The NASDAQ Composite performed 
far worse than the Dow Jones 

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Industrial over the past week. 
Now, what you hear about online 

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are still the people that are 
hyper bullish on these 

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companies. 
They'll never give up no matter 

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the valuation, no matter what 
the situation is like. 

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But underneath the surface, 
there's a lot of people that are

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growing a little bit more 
cautious. 

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The data suggests that many 
individual investors, often the 

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most enthusiastic fans of the 
tech firms, have grown more 

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cautious. 
They were net sellers of the 

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stock for the first time in two 
months during Tuesday's steep 

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tech declines. 
It's according to JP Morgan 

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report, Particularly for firms 
like Palantir, Google and 

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Broadcom. 
Either way, the analysts now say

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that conditions are primed for a
pullback. 

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The NASDAQ has climbed some 41% 
from its April 8th low, lifting 

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valuations for some of the 
biggest tech firms to sky high 

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valuation. 
At the same time of these sky 

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high valuations with the NASDAQ 
companies, there's stubbornly 

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high inflation readings and 
deepening cracks in the labor 

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market. 
This has left investors jittery 

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and many expected PAL to sound 
cautious about cutting rates in 

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his Friday speech. 
Then on top of that, we have 

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these added complications, I'd 
say added problems, where we had

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ChatGPT being talked up to be 
groundbreaking. 

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Sam Altman shared the Death Star
and things to kind of hype this 

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product and then it was released
and it wasn't that 

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groundbreaking. 
It was iteratively better. 

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It was an improvement, but it 
was more like going from the 

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iPhone 13 to the 14 instead of 
the iPhone 1 to the two. 

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It was not that big of an 
iteration going to ChatGPT 5. 

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So we have what seems like a 
slow down in the development of 

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AI. 
While all these companies in the

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QQQ are hitting their all time 
highs in valuation, we have more

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and more data pouring in to show
that we could be nearing a peak 

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here. 
Open AI Chief Executive Sam 

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Altman just compared the bubble 
in AI today to the.com bubble. 

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Now, he did that while running 
one of the biggest AI companies 

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in the world. 
So obviously he doesn't think 

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that his company's in a bubble, 
but he's saying that many of 

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these smaller tech companies are
looking a little bit bubbly, 

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they're looking a little bit 
overvalued, and we're getting to

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this tipping point here. 
We also have at the same time, 

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Meta recently just freezing 
their AI hiring spree. 

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So Mark Zuckerberg hit the gas 
pedal. 

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He hired a bunch of people, and 
now he's saying no more, we 

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don't want any more AI talent. 
We're going to put an abrupt 

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pause to that as well. 
And then at the same time, and 

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again, this is all news, just in
the past week, we also have at 

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the same time a new MIT study 
saying that 95% of generative AI

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companies are failing. 
They may be generating AI, but 

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they're not generating revenue. 
They're not making any money for

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investors. 
That's another thing that's 

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caused investors to become a 
little bit more cautious 

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overall, as the kids say, 
there's been a vibe shift. 

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Things have changed just over 
the past week, like they often 

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do in the market. 
We have all this data of 

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staggering valuations, lots of 
people that have made a lot of 

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money in a short amount of time.
There's people now looking to 

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the future and concerned about 
Nvidia's earnings and whether or

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not they'll guide up and by how 
much. 

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We have concerns of devaluation.
We have prominent people like 

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Sam Altman talking about 
bubbles. 

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We have different people now 
starting to take gains and take 

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money off the table, all 
happening at the very same time 

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now. 
I've been somewhat outspoken 

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whenever the market gets a 
little bit feeling like it's 

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expensive and when it gets 
feeling like it's cheap. 

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I made a lot of videos about the
Trump tariffs and the panic that

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happened in April. 
I made many. 

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You can go look at all of them. 
And in each one of them, I said 

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I was buying the tariff dip. 
I was buying it aggressively, 

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and I did. 
And even during that time 

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period, I also posted constantly
on X talking about how this is 

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an opportunity. 
It looks like the walls are 

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caving in. 
It looks like the world's caving

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in. 
No one's bullish at all. 

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It seemed like the US was 
retreating from trading with 

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anyone. 
We're becoming turtles. 

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We were offending all of our 
partners. 

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It looked very grim for about a 
month, and then after a month 

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everything changed. 
The vibe changed, the sentiment 

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of investors changed, the market
surged, and investors that 

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bought that dip made a lot of 
money in a short amount of time.

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But now we find ourselves back 
on the other end of the spectrum

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here with the stocks going up so
much in just a short amount of 

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time, going up thirty, 4050% in 
many cases, it seems like it's 

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now time to become a little bit 
more cautious. 

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So here's my advice with anybody
that's getting a little bit 

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nervous about the valuations of 
the market or the fact that 

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there may be a sell off now that
we've gone up so much recently. 

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My advice is that if you're 
going to look over your 

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portfolio and look over your 
holdings and do analysis on them

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of what you really want to stay 
owning and what you're not so 

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sure about, do that analysis 
now. 

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Don't wait. 
Don't wait till the market's 

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down 10% and then you're 
concerned and then you look at 

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your holdings and decide what 
you really want to own. 

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The saying goes, if you're going
to panic, panic early, sell your

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stocks early while you're 
getting great bids, while the 

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valuations are high, while 
you've made a lot of money. 

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Don't wait till the offers go 
down where somebody knocks on 

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your door and says, hey, I'm 
going to offer you $50 less than

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I was just a a week ago for the 
same stock. 

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Don't wait until that happens. 
Look at your portfolios today 

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00:10:14,280 --> 00:10:17,480
and look at what you want to own
today, what you're really going 

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to stay invested in even if the 
market falls 1020 or 30%. 

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When I do that, I do continual 
analysis on My Portfolio and I 

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make sure that the companies 
that I own are ones that I would

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still want to own even if they 
went down in price. 

228
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Companies that I wouldn't become
discouraged and sad and sell 

229
00:10:34,560 --> 00:10:38,080
when they're 20 or 30% lower. 
O The type of companies that I 

230
00:10:38,080 --> 00:10:39,960
like to own are incredibly high 
quality. 

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They're ones that I know will 
eventually recover. 

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If you don't have that type of 
conviction in the holdings that 

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00:10:45,400 --> 00:10:48,720
you have, it's time to make 
adjustments and the time again 

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00:10:48,720 --> 00:10:50,760
to do that is before they drop 
in price. 

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Now, I don't want to be mistaken
here. 

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I'm not saying to sell out of 
your high quality companies. 

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I'm not selling most of my 
positions. 

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The only one that I've really 
trimmed is Texas Roadhouse. 

239
00:10:59,040 --> 00:11:01,240
That's the only company that 
I've really taken some gains in 

240
00:11:01,680 --> 00:11:04,520
and I put that money right back 
into other compounding machines 

241
00:11:04,520 --> 00:11:07,280
that I own. 
So I did a small, small, but 

242
00:11:07,280 --> 00:11:08,760
meaningful trade in My 
Portfolio. 

243
00:11:09,160 --> 00:11:11,880
But overall, I'm keeping My 
Portfolio relatively the same. 

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00:11:12,240 --> 00:11:14,400
I'm invested in companies for 
the very long term. 

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But at the same time, if we 
rewind to April when the market 

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was down, when valuations were 
being crushed, when good 

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companies were being sold off 
and investors were scared, that 

248
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was a time to be different from 
the pack and be bold and 

249
00:11:25,960 --> 00:11:29,000
assertive and buy companies. 
And on the flip side of that, 

250
00:11:29,000 --> 00:11:31,840
right now, I believe it's time 
to become a little bit more 

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cautious, not quite as bold or 
assertive, but a little bit more

252
00:11:34,960 --> 00:11:37,160
conservative. 
Still hold great companies, 

253
00:11:37,160 --> 00:11:39,600
watch them compound, but I think
it's a great time to look at our

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00:11:39,600 --> 00:11:42,360
portfolios and make sure we have
what we really want to be 

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00:11:42,360 --> 00:11:44,120
owning. 
Now let's go to move on to some 

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00:11:44,120 --> 00:11:45,600
news. 
Now, the first story we jump 

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00:11:45,600 --> 00:11:48,200
into is one that was a little 
bit shocking when I first heard 

258
00:11:48,200 --> 00:11:50,680
it. the United States 
government, the actual 

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00:11:50,680 --> 00:11:54,520
government of the United States 
bought a 10% equity stake in 

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00:11:54,520 --> 00:11:56,720
Intel. 
Now they didn't necessarily buy 

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00:11:56,720 --> 00:11:59,280
it because they didn't have to 
pay anything upfront, but there 

262
00:11:59,280 --> 00:12:01,000
was a deal, there was an 
agreement. 

263
00:12:01,360 --> 00:12:04,280
And this agreement has led to 
the government taking a large 

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stake in a very big company, 
something that we haven't really

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seen in the United States. 
And even though other countries 

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have sovereign wealth funds, 
those in and of themselves, they

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00:12:13,840 --> 00:12:16,600
operate a little bit differently
than how this deal happened. 

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00:12:17,120 --> 00:12:20,160
Now, this deal, again, has lots 
of mechanics behind it, and 

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00:12:20,160 --> 00:12:22,040
we'll be looking at those 
mechanics in a bit in the 

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00:12:22,040 --> 00:12:23,880
details. 
But I first want to go into the 

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00:12:23,880 --> 00:12:26,000
back story of how this deal even
happened. 

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What is the story leading up to 
the United States government, to

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00:12:28,840 --> 00:12:31,760
the Trump administration 
brokering this deal where they 

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00:12:31,760 --> 00:12:35,040
now have a 10% equity stake in 
Intel stock? 

275
00:12:36,120 --> 00:12:40,360
Libu Tan, this is the CEO of 
Intel was anxiously preparing 

276
00:12:40,360 --> 00:12:41,760
for the biggest meeting of his 
life. 

277
00:12:42,080 --> 00:12:45,880
Just five months into his tenure
as chief executive of Intel, Tan

278
00:12:45,880 --> 00:12:47,720
was already fighting for his 
job. 

279
00:12:48,040 --> 00:12:51,720
A few days earlier, Donald Trump
had demanded that he stepped 

280
00:12:51,720 --> 00:12:54,640
down and his past ties of the 
Chinese military. 

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00:12:55,120 --> 00:12:57,920
So Trump is saying you need to 
get out of this big U.S. company

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00:12:58,240 --> 00:13:01,160
because you have passed ties to 
the Chinese military. 

283
00:13:02,120 --> 00:13:05,040
That in and of itself is very 
threatening from the president. 

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00:13:05,040 --> 00:13:08,920
So when the president's tweeting
out that an an individual CEO of

285
00:13:08,920 --> 00:13:12,840
a company needs to step down, 
like that company's going to be 

286
00:13:12,840 --> 00:13:15,240
in a flurry, that's going to 
cause a massive panic, 

287
00:13:15,480 --> 00:13:18,840
especially for one like Intel 
that is in desperate need of 

288
00:13:18,840 --> 00:13:21,120
good leadership. 
They've already swapped out CEOs

289
00:13:21,120 --> 00:13:23,920
a couple times. 
The past CEOs have not done a 

290
00:13:23,920 --> 00:13:27,840
great job with this company. 
Now, of course, this tweet or 

291
00:13:27,840 --> 00:13:31,160
truth or whatever you want to 
call it, the demand sent Intel's

292
00:13:31,160 --> 00:13:34,360
leadership into a panic. 
They immediately contacted the 

293
00:13:34,360 --> 00:13:37,720
White House for a meeting, and 
Tom flew to Washington, huddling

294
00:13:37,720 --> 00:13:40,600
with his advisors for hours on 
Sunday, August 10th. 

295
00:13:40,960 --> 00:13:43,720
His team reassured him that the 
president would hear him out 

296
00:13:43,720 --> 00:13:47,000
because, quote, Trump loves 
meetings with CE OS, even those 

297
00:13:47,000 --> 00:13:49,640
who he has publicly attacked, 
according to people with 

298
00:13:49,640 --> 00:13:52,400
knowledge of the conversations. 
The next day, Tom met with 

299
00:13:52,400 --> 00:13:55,640
Trump, the Commerce Secretary 
Howard Lutnick and the Treasury 

300
00:13:55,640 --> 00:13:58,040
Secretary Scott Besant in the 
Oval Office. 

301
00:13:58,480 --> 00:14:00,480
He sought to convince the 
president that he wasn't a 

302
00:14:00,480 --> 00:14:03,840
Chinese spy and that the US 
government has a long standing 

303
00:14:04,040 --> 00:14:07,280
or long term interest in 
bolstering Intel, one of the 

304
00:14:07,280 --> 00:14:10,720
only homegrown manufacturers of 
computer chips that power the 

305
00:14:10,720 --> 00:14:13,680
modern economy. 
The CE OS arguments proved 

306
00:14:13,760 --> 00:14:16,480
persuasive. 
The president also took a liking

307
00:14:16,480 --> 00:14:20,680
to Tan, the Malaysian born, 
Singapore raised U.S. citizen 

308
00:14:20,880 --> 00:14:23,480
who once considered a career as 
a professional baseball player 

309
00:14:23,840 --> 00:14:26,840
and backed off in his demands 
for the CEO to be ousted. 

310
00:14:27,360 --> 00:14:31,560
So basically the CEO here, he 
did the right thing, which is 

311
00:14:31,560 --> 00:14:34,640
instead of having an online 
battle, this tit for tat back 

312
00:14:34,640 --> 00:14:37,640
and forth between President 
Trump and the CEO, That's the 

313
00:14:37,640 --> 00:14:40,440
route that you don't want to go.
What you want to do with Trump, 

314
00:14:40,480 --> 00:14:43,600
I, I just think with his 
personality is get on a plane 

315
00:14:43,600 --> 00:14:47,440
and go meet him in person, give 
him a, a really solid handshake,

316
00:14:47,760 --> 00:14:50,200
talk about, you know, that you 
like what he's doing, you want 

317
00:14:50,200 --> 00:14:52,320
to invest in the US, you know, 
that type of thing. 

318
00:14:52,680 --> 00:14:55,760
And that's exactly what he did. 
He talked about how they're one 

319
00:14:55,760 --> 00:14:58,360
of the big U.S. companies. 
They have huge incentive to 

320
00:14:58,360 --> 00:15:01,920
invest more into the US. 
And he got on Trump's good side.

321
00:15:02,080 --> 00:15:04,560
So now Trump is no longer 
wanting to oust him. 

322
00:15:04,840 --> 00:15:07,720
He made friends with Trump by 
making a visit in person. 

323
00:15:07,840 --> 00:15:10,400
Now, that's the story so far. 
But there's more to this. 

324
00:15:10,800 --> 00:15:13,960
The truce came with a cost. 
In return for Trump's support, 

325
00:15:14,280 --> 00:15:17,040
the administration proposed 
taking an equity stake in the 

326
00:15:17,040 --> 00:15:19,400
company. 
It decided to convert nearly $9 

327
00:15:19,400 --> 00:15:23,840
billion in grants promised to 
Intel as part of the 2022 CHIPS 

328
00:15:23,840 --> 00:15:28,280
Act into a 10% equity stake in 
the company, an unusual 

329
00:15:28,280 --> 00:15:30,680
arrangement that makes the 
government Intel's biggest 

330
00:15:30,680 --> 00:15:32,800
shareholder. 
So they're saying this is under 

331
00:15:32,800 --> 00:15:36,600
the CHIPS Act that we now have 
$9 billion to put into Intel to 

332
00:15:36,600 --> 00:15:38,920
become the largest shareholder. 
Now, that's a bit of background 

333
00:15:38,920 --> 00:15:41,920
of how this deal transpired, and
you can see that this may raise 

334
00:15:41,920 --> 00:15:44,920
some concerns. 
Why did the US government decide

335
00:15:44,920 --> 00:15:47,760
to take equity out of Intel? 
What was the specific reasoning 

336
00:15:47,760 --> 00:15:50,280
behind it? 
Was it just for the CEO to 

337
00:15:50,280 --> 00:15:53,760
protect his job? 
Did he exchange job protection 

338
00:15:54,080 --> 00:15:56,640
for selling part of Intel or 
letting this deal transpire? 

339
00:15:56,800 --> 00:15:59,680
A lot of these questions remain,
but we have a bit more detail on

340
00:15:59,680 --> 00:16:01,920
this from people like Kevin 
Hassett, who's part of the 

341
00:16:01,920 --> 00:16:04,240
administration. 
He was part of this deal as 

342
00:16:04,240 --> 00:16:05,800
well. 
Let's go ahead and listen to him

343
00:16:05,800 --> 00:16:08,840
being questioned by Andrew Ross 
Sorkin and some of the responses

344
00:16:08,840 --> 00:16:10,840
he gives. 
In the past, the federal 

345
00:16:10,840 --> 00:16:14,080
government has been giving money
away lickety split to companies 

346
00:16:14,520 --> 00:16:17,240
and the taxpayers have received 
nothing in return. 

347
00:16:17,440 --> 00:16:20,440
And so now what's happening with
with the Intel deal is the CHIPS

348
00:16:20,440 --> 00:16:23,560
act of money is come going out 
as planned. 

349
00:16:23,800 --> 00:16:26,360
But instead of it just going out
and disappearing into the ether,

350
00:16:26,440 --> 00:16:28,480
the US taxpayers are getting a 
little bit of equity. 

351
00:16:28,480 --> 00:16:31,200
I can really not see how anyone 
would think that's a bad thing, 

352
00:16:31,400 --> 00:16:33,640
unless you thought that the 
government was then going to go 

353
00:16:33,640 --> 00:16:36,120
in and run the company. 
But but these are going to be 

354
00:16:36,120 --> 00:16:38,880
shares that don't have voting 
rights the government's going to

355
00:16:38,880 --> 00:16:40,280
stay out of. 
It So the argument from the 

356
00:16:40,280 --> 00:16:42,920
administration and people like 
Kevin Hassett is that the US 

357
00:16:42,920 --> 00:16:45,320
government is done being the 
Piggy Bank for all these big 

358
00:16:45,320 --> 00:16:48,640
companies and instead of just 
handing out money with asking 

359
00:16:48,640 --> 00:16:51,760
for nothing in return, they're 
now going to take equity stakes 

360
00:16:52,040 --> 00:16:54,000
in these companies that want 
this money. 

361
00:16:54,120 --> 00:16:56,880
That's what their argument is. 
But I think it's a rather weak 

362
00:16:56,880 --> 00:16:59,360
argument. 
First of all, the history of the

363
00:16:59,440 --> 00:17:02,960
US government, when it hands out
money to large corporations is 

364
00:17:02,960 --> 00:17:05,599
almost always to get that money 
back through loans. 

365
00:17:05,640 --> 00:17:06,880
That's what happened with the 
banks. 

366
00:17:07,319 --> 00:17:09,760
Remember when the banks got 
bailed out by the US government,

367
00:17:10,079 --> 00:17:12,359
it looked really bad because the
US government was giving them, 

368
00:17:12,480 --> 00:17:15,240
it was giving them a get out of 
jail free card, which a lot of 

369
00:17:15,240 --> 00:17:17,280
people didn't like. 
But if you look at the details 

370
00:17:17,280 --> 00:17:19,960
of those deals that the US 
government made with their 

371
00:17:19,960 --> 00:17:22,839
infusement of money in those 
banks, all of them have paid 

372
00:17:22,839 --> 00:17:24,680
back the government with 
interest. 

373
00:17:25,079 --> 00:17:27,760
In fact, in terms of loans, 
those were great loans being 

374
00:17:27,760 --> 00:17:31,000
paid back to the taxpayer. 
So there's many cases where the 

375
00:17:31,000 --> 00:17:34,280
US government has lent out money
to private companies or 

376
00:17:34,280 --> 00:17:36,480
different companies that are 
really important, but they've 

377
00:17:36,480 --> 00:17:38,840
gotten paid back and the 
taxpayer has been made whole. 

378
00:17:39,360 --> 00:17:41,480
And there's no reason why they 
couldn't do that in this 

379
00:17:41,480 --> 00:17:44,080
situation as well. 
The problems with taking an 

380
00:17:44,080 --> 00:17:47,360
equity stake in a company, the 
problems with the US government 

381
00:17:47,360 --> 00:17:51,320
or the Trump administration 
making this investment is that 

382
00:17:51,320 --> 00:17:56,880
now Trump is aligned with Intel.
He has personal vested interest 

383
00:17:56,880 --> 00:17:59,280
in Intel succeeding. 
Think about this. 

384
00:17:59,320 --> 00:18:03,120
If Trump buys a $9 billion stake
with the taxpayer dollar in 

385
00:18:03,120 --> 00:18:07,000
Intel, and then the stock price 
starts to trend downward and it 

386
00:18:07,000 --> 00:18:10,240
goes down and down and down, and
then there's news articles 

387
00:18:10,240 --> 00:18:12,320
saying that Trump made a bad 
investment. 

388
00:18:12,720 --> 00:18:14,960
He's losing taxpayer money in 
Intel stock. 

389
00:18:15,480 --> 00:18:18,120
What can Trump do to try to 
bolster that investment? 

390
00:18:18,120 --> 00:18:21,120
He could do executive orders or 
different laws to benefit them. 

391
00:18:21,440 --> 00:18:23,560
He can make it so that they have
more favorable treatment with 

392
00:18:23,560 --> 00:18:26,560
tariffs than other competitors. 
He could do a lot of things to 

393
00:18:26,560 --> 00:18:30,200
bolster Intel stock to make his 
investment in the company look 

394
00:18:30,200 --> 00:18:34,000
better because now he has his 
reputation attached specifically

395
00:18:34,280 --> 00:18:37,240
to that company. 
And it also extends further from

396
00:18:37,240 --> 00:18:39,520
there. 
Now that the US government is 

397
00:18:39,520 --> 00:18:43,600
invested directly into Intel by 
owning a huge portion of the 

398
00:18:43,600 --> 00:18:45,120
stock, being the biggest 
shareholder. 

399
00:18:45,560 --> 00:18:49,000
It also shows competitors to 
Intel that the US government is 

400
00:18:49,000 --> 00:18:51,600
vested in this company. 
There could be the case where 

401
00:18:51,680 --> 00:18:54,240
other competitors that wanted to
do business in the United 

402
00:18:54,240 --> 00:18:58,000
States, that wanted to build 
manufacturing plants here now 

403
00:18:58,000 --> 00:19:00,440
view it as more unfavorable 
because they have a bigger 

404
00:19:00,440 --> 00:19:03,720
competitor, which is a 
government backed Intel. 

405
00:19:04,280 --> 00:19:07,360
So there's lots of 2nd and 3rd 
order effects to this. 

406
00:19:07,360 --> 00:19:09,400
I think there's a lot of things 
that could be unexpected 

407
00:19:09,400 --> 00:19:12,200
consequences, as well as the 
fact that I believe that this is

408
00:19:12,200 --> 00:19:15,040
a massive slippery slope. 
Some people refer to the 

409
00:19:15,040 --> 00:19:17,360
slippery slope argument as a 
logical fallacy. 

410
00:19:17,640 --> 00:19:20,160
It is not. 
The slippery slope argument is 

411
00:19:20,160 --> 00:19:22,880
real when the government steps 
its foot into one part of 1 

412
00:19:22,880 --> 00:19:25,800
industry, like it is taking a 
direct equity stake in a company

413
00:19:25,800 --> 00:19:28,280
like this. 
If it becomes acceptable and 

414
00:19:28,280 --> 00:19:31,680
normal, we could see a lot more 
of this going on, different 

415
00:19:31,680 --> 00:19:34,800
excuses, different reasons for 
the government to be buying more

416
00:19:34,800 --> 00:19:37,840
and more private companies, 
which could transition this from

417
00:19:37,840 --> 00:19:41,400
less of a free market capitalist
system where the government has 

418
00:19:41,400 --> 00:19:44,440
vested interest in certain 
companies succeeding over their 

419
00:19:44,440 --> 00:19:46,680
competitors. 
And overall, my reaction to this

420
00:19:46,680 --> 00:19:49,720
deal is I'm very concerned that 
this will be a slippery slope 

421
00:19:49,720 --> 00:19:52,920
situation that we're going to 
see more and more deal making, 

422
00:19:52,920 --> 00:19:55,880
more and more of the government 
taking equity stakes and less of

423
00:19:55,880 --> 00:19:58,760
free market capitalism. 
I hope that's not the case. 

424
00:19:58,760 --> 00:20:02,160
I hope that this is a complete 
one off situation that it's not 

425
00:20:02,160 --> 00:20:05,160
repeated on a broader scale, but
we'll have to wait and see. 

426
00:20:05,280 --> 00:20:08,080
Now moving on, we get to an AI 
company that continues to win. 

427
00:20:08,080 --> 00:20:10,600
In fact, this is one that I talk
about frequently, but it 

428
00:20:10,600 --> 00:20:13,080
continues to surge up into all 
time highs. 

429
00:20:13,640 --> 00:20:16,320
And this is a situation where 
even with Google, some investors

430
00:20:16,320 --> 00:20:18,760
could become potentially 
concerned that this stock is 

431
00:20:18,760 --> 00:20:22,200
getting a little expensive 
because it's now at $210.00 per 

432
00:20:22,200 --> 00:20:24,000
share. 
And again, if we zoom out here, 

433
00:20:24,000 --> 00:20:26,480
if we look at the chart over 
time, let's take a look at the 

434
00:20:26,480 --> 00:20:29,640
price chart, we can go back five
years or 10 years. 

435
00:20:29,920 --> 00:20:31,960
This is an all time high for 
Google. 

436
00:20:32,440 --> 00:20:35,240
So we did it. 
This one is a real winner. 

437
00:20:35,280 --> 00:20:36,880
We are winning with Google 
stock. 

438
00:20:37,000 --> 00:20:39,480
I'm really glad to see that 
Google stock is doing so well, 

439
00:20:39,560 --> 00:20:42,000
not only because it's a big 
holding of mine, it's in both of

440
00:20:42,000 --> 00:20:45,000
my portfolios, but also because 
it's a company that many 

441
00:20:45,000 --> 00:20:47,440
investors own. 
I can see the analytics on 

442
00:20:47,440 --> 00:20:49,360
Qualtrim. 
I can see which stocks are the 

443
00:20:49,360 --> 00:20:51,880
most searched, which ones do 
people have in the most watch 

444
00:20:51,880 --> 00:20:54,320
list, Which ones do people have 
in their portfolios. 

445
00:20:54,680 --> 00:20:57,360
And Google is one of the most 
heavily owned and tracked stocks

446
00:20:57,360 --> 00:20:59,520
in the market by retail 
investors. 

447
00:20:59,800 --> 00:21:01,200
And I love that it's doing so 
well. 

448
00:21:01,320 --> 00:21:03,480
And I have reason to believe 
that Google's just going to keep

449
00:21:03,480 --> 00:21:05,120
doing better and better and 
better. 

450
00:21:05,680 --> 00:21:08,880
We have here that Google's AI 
mode is expanding globally, and 

451
00:21:08,880 --> 00:21:12,960
it adds a new agentic feature. 
Users can now use the AI mode to

452
00:21:12,960 --> 00:21:16,000
find restaurant reservations, 
and in the future they'll be 

453
00:21:16,000 --> 00:21:18,960
able to find local service 
appointments and event tickets. 

454
00:21:19,320 --> 00:21:22,680
Users can request dinner 
reservations based on multiple 

455
00:21:22,680 --> 00:21:26,920
preferences such as party size, 
date, time, location and 

456
00:21:26,920 --> 00:21:30,160
preferred cuisine. 
AI Mode will then research or 

457
00:21:30,160 --> 00:21:32,880
will search across different 
reservation platforms to find 

458
00:21:32,920 --> 00:21:35,560
real time availability for 
restaurants that match the 

459
00:21:35,560 --> 00:21:38,520
inquiry. 
It then surfaces A curated list 

460
00:21:38,560 --> 00:21:41,280
of options to choose from. 
This new capabilities rolling 

461
00:21:41,280 --> 00:21:44,080
out to the premium users already
and they have a little bit of a 

462
00:21:44,080 --> 00:21:46,600
mock up of the user interface. 
So basically if you want to find

463
00:21:46,600 --> 00:21:49,040
a reservation at a restaurant, 
you're now able to do it 

464
00:21:49,040 --> 00:21:51,760
directly through AI Mode and it 
will have a different interface 

465
00:21:51,760 --> 00:21:53,280
that shows you it Just like 
this. 

466
00:21:53,280 --> 00:21:56,160
They say that the AI Mode will 
now see search results as 

467
00:21:56,160 --> 00:21:58,520
tailored to their individual 
preferences and interest. 

468
00:21:58,600 --> 00:22:01,440
For example, if someone searches
I only have an hour, need a 

469
00:22:01,440 --> 00:22:03,400
quick lunch spot. 
Any suggestions? 

470
00:22:03,760 --> 00:22:07,080
AI mode will use their past 
conversations, along with places

471
00:22:07,080 --> 00:22:10,280
they've researched or clicked in
the search of maps to offer more

472
00:22:10,280 --> 00:22:13,720
relevant suggestions. 
So if the AI mode infers that 

473
00:22:13,720 --> 00:22:17,080
you like Italian food and places
without outdoor seating, you'll 

474
00:22:17,080 --> 00:22:20,200
get results suggesting options 
with those preferences. 

475
00:22:20,840 --> 00:22:23,640
So here's Google leveraging all 
the data that they already have,

476
00:22:23,960 --> 00:22:26,200
the maps, you know, they'll 
leverage your Gmail, they'll 

477
00:22:26,200 --> 00:22:27,840
they'll probably leverage 
everything that they use in 

478
00:22:27,840 --> 00:22:31,600
their ecosystem to better inform
and better help out with 

479
00:22:31,600 --> 00:22:34,600
suggestions with your searches. 
Now with Google, it seems like 

480
00:22:34,600 --> 00:22:37,160
there's nothing that can stop 
this company at this point. 

481
00:22:37,200 --> 00:22:40,160
It will continue to just 
compound, take more market share

482
00:22:40,440 --> 00:22:43,320
and dominate with its continual 
incredibly strong earnings 

483
00:22:43,320 --> 00:22:45,960
reports. 
Mark Mahaney also remains 

484
00:22:45,960 --> 00:22:48,760
bullish on this company. 
It's still his top pick in large

485
00:22:48,760 --> 00:22:51,760
tech, and he says that Google is
now in the lead in multiple 

486
00:22:51,760 --> 00:22:54,520
categories. 
Google is running the race. 

487
00:22:54,520 --> 00:22:57,480
It's in the leadership position 
or one of the leaders in AI. 

488
00:22:57,480 --> 00:23:01,200
And I think a couple of months 
ago at 160 when the stock was 

489
00:23:01,200 --> 00:23:03,280
down there, I think they were 
real fears that it was going to 

490
00:23:03,280 --> 00:23:05,440
be left behind. 
But no, look, with Gemini, I 

491
00:23:05,440 --> 00:23:08,320
think they've got one of the 
best large language models out 

492
00:23:08,320 --> 00:23:09,120
there. 
They've obviously got a 

493
00:23:09,160 --> 00:23:12,400
wonderful distribution platform 
in Google, the most widely used 

494
00:23:12,560 --> 00:23:16,120
Internet asset out there. 
And then we've also got coming 

495
00:23:16,120 --> 00:23:19,080
up this week, almost certainly 
judge's decision in the 

496
00:23:19,920 --> 00:23:22,920
antitrust monopoly case. 
We hope that it's going to be a 

497
00:23:22,920 --> 00:23:25,000
clearing event. 
It's very hard to handicap the 

498
00:23:25,000 --> 00:23:27,240
the outcome of the event. 
But at the end, if you look at 

499
00:23:27,240 --> 00:23:30,120
all of the AI companies that are
out there, this is the cheapest 

500
00:23:30,120 --> 00:23:32,120
1. 
I mean, it's AIDS at the direct 

501
00:23:32,320 --> 00:23:34,440
AI companies. 
This trades at 19 times earnings

502
00:23:34,800 --> 00:23:37,000
and I think there's still 
material upside. 

503
00:23:37,000 --> 00:23:39,960
That's why we like the stock. 
He mentions that there's still a

504
00:23:39,960 --> 00:23:42,760
clearing event with the judge's 
ruling that's going to happen 

505
00:23:42,760 --> 00:23:45,360
sometime this week. 
So that is imminent. 

506
00:23:45,360 --> 00:23:48,000
And we'll see whether or not the
judge takes the extreme stance 

507
00:23:48,360 --> 00:23:51,200
of forcing Google to sell off 
Chrome, which will lead to more 

508
00:23:51,200 --> 00:23:54,640
uncertainty, more appeals, years
long of Google having that way 

509
00:23:54,640 --> 00:23:57,000
over their head or whether or 
not they come up with a better, 

510
00:23:57,000 --> 00:23:59,360
less extreme remedy for the 
situation. 

511
00:23:59,440 --> 00:24:02,040
But either way, Mark Mahaney 
still believes that Google stock

512
00:24:02,040 --> 00:24:04,400
is undervalued and so do I. 
Now, when we get into a 

513
00:24:04,400 --> 00:24:06,480
discussion question about 
valuation, it's important to 

514
00:24:06,480 --> 00:24:09,000
note that even though a company 
has gone through really good 

515
00:24:09,000 --> 00:24:12,280
performance, even though it's 
reaching all time highs, that 

516
00:24:12,280 --> 00:24:14,760
does not mean that it's getting 
expensive or that it's 

517
00:24:14,760 --> 00:24:17,080
overvalued. 
When we look at Google, we can 

518
00:24:17,080 --> 00:24:19,280
just take a look at the DCF 
calculator. 

519
00:24:19,760 --> 00:24:22,840
Now this is a tool in Qualtrim 
where you can make some simple 

520
00:24:22,840 --> 00:24:25,800
assumptions about a company, 
both their multiple and their 

521
00:24:25,800 --> 00:24:27,640
growth rate. 
And from those two metrics 

522
00:24:27,640 --> 00:24:30,080
alone, you can determine what 
your rate of return is going to 

523
00:24:30,080 --> 00:24:32,640
be owning this company. 
If we look at Google, for 

524
00:24:32,640 --> 00:24:35,560
example, the current PE ratio is
22. 

525
00:24:35,880 --> 00:24:39,280
We have earnings per share 
growth of 19.4%. 

526
00:24:39,800 --> 00:24:41,520
So fast earnings per share 
growth. 

527
00:24:41,800 --> 00:24:43,440
And we can make a couple 
assumptions here. 

528
00:24:43,880 --> 00:24:46,480
For example, if we assume that 
the earnings per share growth is

529
00:24:46,480 --> 00:24:50,200
going to moderate over time over
the next five years, it's going 

530
00:24:50,200 --> 00:24:53,160
to grow at 15% that the 
appropriate earnings per share 

531
00:24:53,160 --> 00:24:56,400
multiple is a 25. 
That would make it so that we 

532
00:24:56,400 --> 00:25:01,360
have a 16 percent, 16 1/2 
percent return per year every 

533
00:25:01,360 --> 00:25:04,080
year for the next 5 years. 
Now we also have our desired 

534
00:25:04,080 --> 00:25:07,920
return based on these 
assumptions, the 25 multiple, 

535
00:25:07,920 --> 00:25:11,360
the 15% earnings per share 
growth rate and a desired return

536
00:25:11,360 --> 00:25:14,960
of 15% per year, which I believe
is a good benchmark that will 

537
00:25:14,960 --> 00:25:17,520
likely beat out the S&P 500 in 
the QQQ. 

538
00:25:18,080 --> 00:25:22,800
We could still buy Google up 
until $224 per share and get 

539
00:25:22,800 --> 00:25:26,160
that 15% return. 
So right now we're getting a 16 

540
00:25:26,160 --> 00:25:27,920
1/2. 
We can continue to buy the stock

541
00:25:27,920 --> 00:25:30,320
until it's 224. 
And with these assumptions, 

542
00:25:30,320 --> 00:25:31,720
we'll still outperform the 
market. 

543
00:25:31,760 --> 00:25:34,120
Now, even if we moderate these 
assumptions, let's say that 

544
00:25:34,120 --> 00:25:36,720
Google doesn't grow quite as 
fast, that the earnings per 

545
00:25:36,720 --> 00:25:40,680
share growth rate goes to 13% 
and the multiple moderates at 

546
00:25:40,680 --> 00:25:44,440
around 22. 
That still gives us a 12% 

547
00:25:44,440 --> 00:25:48,200
annualized return. 
That's a really strong return 

548
00:25:48,640 --> 00:25:51,240
that's still likely to 
outperform the S&P 500, but 

549
00:25:51,400 --> 00:25:54,560
it'll probably come in in line 
or a little bit above the QQQ. 

550
00:25:55,200 --> 00:25:58,720
So even with more moderate, more
conservative assumptions, we're 

551
00:25:58,720 --> 00:26:00,520
still outperforming at this 
point. 

552
00:26:00,520 --> 00:26:03,400
But I have no good argument, no 
reason to believe that Google 

553
00:26:03,400 --> 00:26:06,440
deserves a 22 PE ratio. 
And that's why Google stock 

554
00:26:06,440 --> 00:26:08,960
today remains undervalued. 
Now Speaking of stocks that are 

555
00:26:08,960 --> 00:26:11,720
doing well, we have Netflix. 
This company is up a little bit 

556
00:26:11,720 --> 00:26:13,400
today. 
It's outperforming market on the

557
00:26:13,400 --> 00:26:15,240
day. 
And we look at it this year, 

558
00:26:15,440 --> 00:26:17,720
it's up big this year, 38% 
gains. 

559
00:26:18,120 --> 00:26:21,720
It's leveled out around the 
12112 fifty mark. 

560
00:26:22,000 --> 00:26:24,560
So it's not at all time highs, 
but it's but it's been trading 

561
00:26:24,560 --> 00:26:26,360
around this range. 
It's found a little bit of 

562
00:26:26,360 --> 00:26:28,680
support around this range. 
But I believe there's a good 

563
00:26:28,680 --> 00:26:31,640
chance for Netflix to gain the 
remainder of this year. 

564
00:26:31,920 --> 00:26:33,680
And it remains one of my biggest
positions. 

565
00:26:34,080 --> 00:26:37,400
When we look at the reason why 
one of the concerns of Netflix, 

566
00:26:37,400 --> 00:26:40,080
in fact, I would say it's one of
the only concerns about this 

567
00:26:40,080 --> 00:26:44,000
company is total market share. 
The market share for Netflix is 

568
00:26:44,000 --> 00:26:48,240
held roughly steady with slight 
gains year over year, but 

569
00:26:48,240 --> 00:26:51,600
YouTube is far outpacing it and 
watch time and market share gain

570
00:26:51,880 --> 00:26:54,760
even though Netflix is growing. 
But Netflix is showing signs 

571
00:26:54,760 --> 00:26:57,640
that it's getting a lot more 
engagement recently, especially 

572
00:26:57,640 --> 00:27:00,080
with this new hit called K Pop 
Demon Hunters. 

573
00:27:00,480 --> 00:27:03,920
It's a very interesting movie. 
It's it's all singing, it's 

574
00:27:03,920 --> 00:27:05,720
animated. 
It's mostly targeted towards 

575
00:27:05,720 --> 00:27:07,040
kids. 
If you have kids, they're 

576
00:27:07,040 --> 00:27:08,720
probably playing this one on 
repeat. 

577
00:27:09,040 --> 00:27:12,040
The numbers of how much this 
movie has been seen is 

578
00:27:12,040 --> 00:27:13,880
staggering. 
If we want to compare this to 

579
00:27:13,880 --> 00:27:17,160
other huge movies on Netflix, we
can take a look at the chart 

580
00:27:17,160 --> 00:27:18,400
here. 
We have the dark line there. 

581
00:27:18,400 --> 00:27:21,560
That's K Pop Demon Hunters, 
which had a very slow starting 

582
00:27:21,560 --> 00:27:22,760
week. 
You can see that it barely 

583
00:27:22,760 --> 00:27:24,320
bumped up. 
It was beat by all these other 

584
00:27:24,320 --> 00:27:27,520
premieres, but then it just 
seems like it it caught hold. 

585
00:27:28,240 --> 00:27:30,840
All all the kids, all these 
people started watching it over 

586
00:27:30,840 --> 00:27:34,680
and over again and it's just 
steadily surpassing every other 

587
00:27:34,680 --> 00:27:38,120
movie with no end insight. 
Look at the growth of this. 

588
00:27:38,120 --> 00:27:39,760
We have Carry On. 
We have Red Notice. 

589
00:27:39,760 --> 00:27:41,920
We have Don't Look Up. 
These are huge movies. 

590
00:27:41,920 --> 00:27:44,080
One of them has Leonardo 
DiCaprio, right? 

591
00:27:44,080 --> 00:27:47,640
These are big Netflix originals 
and all of them went up fast, 

592
00:27:47,640 --> 00:27:49,000
but then they started to 
plateau. 

593
00:27:49,280 --> 00:27:52,520
The one that continued up for 
the longest was Red Notice, big 

594
00:27:52,520 --> 00:27:54,800
general action movie with a lot 
of big stars in it. 

595
00:27:55,000 --> 00:27:57,600
In fact, I think it's almost a 
certainty at this point that K 

596
00:27:57,600 --> 00:28:00,160
Pop Demon Hunters is going to 
crush all of these. 

597
00:28:00,280 --> 00:28:03,520
Now, Netflix being the savvy 
company that they are, they 

598
00:28:03,520 --> 00:28:05,680
actually bought this property 
from Sony. 

599
00:28:05,880 --> 00:28:08,760
So Sony produced it. 
Netflix said, well, we'll take 

600
00:28:08,760 --> 00:28:10,880
that, we'll buy it from you. 
They used their massive 

601
00:28:10,880 --> 00:28:13,960
distribution like they've done 
before, many times repeatedly to

602
00:28:13,960 --> 00:28:16,400
make it a massive hit, the 
number one hit. 

603
00:28:16,800 --> 00:28:19,240
And now that they have it as a 
massive hit on their streaming 

604
00:28:19,240 --> 00:28:23,200
service, they also just showed 
it in a very limited way in the 

605
00:28:23,200 --> 00:28:26,280
box office over a weekend. 
K Pop Demon Hunters LED all 

606
00:28:26,280 --> 00:28:29,520
films over the weekend with 16 
to $18 million in ticket sales. 

607
00:28:29,640 --> 00:28:32,880
Now, keep in mind, they made 
this much money, $18 million in 

608
00:28:32,880 --> 00:28:35,680
box office sales without even 
going into AMC. 

609
00:28:35,720 --> 00:28:38,240
So AMC did not do this limited 
screening. 

610
00:28:38,280 --> 00:28:41,200
I think this just shows the 
ability for Netflix to pull a 

611
00:28:41,200 --> 00:28:44,040
rabbit out of their hat. 
Every single year, every 

612
00:28:44,040 --> 00:28:46,440
quarter, there's some big 
phenomenon that comes completely

613
00:28:46,440 --> 00:28:50,280
out of left field with this one.
It's literally a movie about 

614
00:28:50,280 --> 00:28:55,040
this K pop superstar trio who 
doubled as demon hunters. 

615
00:28:55,520 --> 00:28:59,320
Now the members of this trio, 
they're like the good guys in it

616
00:28:59,360 --> 00:29:02,800
and they must protect their fans
and faced their biggest enemy 

617
00:29:02,840 --> 00:29:05,960
yet, a rival boy band made-up of
demons in disguise. 

618
00:29:06,120 --> 00:29:08,160
And that right there, of course,
is the biggest movie of the 

619
00:29:08,160 --> 00:29:11,000
year, one that's going to have 
the most watch time almost by 

620
00:29:11,000 --> 00:29:12,960
far. 
And it's one that nobody could 

621
00:29:12,960 --> 00:29:14,560
have predicted. 
Now moving on, we get to an 

622
00:29:14,560 --> 00:29:16,600
interview with Dara, the CEO of 
Uber. 

623
00:29:16,640 --> 00:29:19,920
He goes ahead and he shares his 
thoughts on the safety concerns 

624
00:29:19,920 --> 00:29:23,080
and the technology currently. 
I think in the near term is 

625
00:29:23,080 --> 00:29:27,000
going to be very difficult and 
Elon would tell me I'm wrong and

626
00:29:27,160 --> 00:29:29,680
never bet against him. 
But it's my instinct that in the

627
00:29:29,680 --> 00:29:33,240
near term it's going to be very 
difficult to build a camera only

628
00:29:33,240 --> 00:29:36,760
product that has superhuman 
levels of safety. 

629
00:29:36,960 --> 00:29:40,040
And again, now at some point 
will it be possible? 

630
00:29:41,080 --> 00:29:45,480
Quite possibly, yes. 
But if you can have 

631
00:29:46,560 --> 00:29:50,840
instrumentation that includes 
cameras and Lidar and the cost 

632
00:29:50,840 --> 00:29:56,720
of LIDAR, you know, solid-state 
Lidar now is 405 hundred bucks, 

633
00:29:57,160 --> 00:30:02,240
why not include LIDAR as well in
order to achieve superhuman 

634
00:30:02,240 --> 00:30:05,480
safety? 
So possible, yeah, it will be 

635
00:30:05,480 --> 00:30:09,200
possible. 
I don't know when, but is the 

636
00:30:09,200 --> 00:30:12,880
possible the better product? 
I'm not sure I would. 

637
00:30:12,920 --> 00:30:17,440
I All of our partners that we're
working with now are using a 

638
00:30:17,440 --> 00:30:22,520
combination of camera, radar and
LIDAR and you know, I personally

639
00:30:22,520 --> 00:30:24,200
think that's, that's the right 
solution. 

640
00:30:24,440 --> 00:30:27,440
Dara clearly believes that the 
better route to go here is with 

641
00:30:27,440 --> 00:30:29,720
Lidar. 
He even addresses the argument 

642
00:30:29,720 --> 00:30:32,600
that it's not scalable or it's 
too expensive by saying that 

643
00:30:32,600 --> 00:30:36,240
solid-state LIDAR is now about 
500 bucks, so why not add it 

644
00:30:36,240 --> 00:30:39,520
when it is proven to show 
superhuman levels of safety. 

645
00:30:40,160 --> 00:30:42,520
And in fact, you have more data 
to work with. 

646
00:30:42,520 --> 00:30:47,360
You have multi model data, you 
have Lidar, radar and camera, 

647
00:30:47,560 --> 00:30:50,040
which if you synthesize that 
data together, it creates a more

648
00:30:50,040 --> 00:30:52,360
clear data set. 
Even the people that have worked

649
00:30:52,360 --> 00:30:55,920
on the robotaxi at Tesla said 
that there is a margin between 

650
00:30:55,920 --> 00:30:58,480
the data set that you get. 
In fact, when Tesla decided to 

651
00:30:58,480 --> 00:31:01,160
remove the sensors out of their 
vehicles, that's when they 

652
00:31:01,160 --> 00:31:03,920
started to have the phantom 
breaking issue where the car 

653
00:31:03,920 --> 00:31:06,880
will randomly break if it sees a
shadow wrong and interprets it 

654
00:31:06,880 --> 00:31:09,160
as an object. 
That's a problem that still 

655
00:31:09,160 --> 00:31:11,120
happens to this day. 
So I think it's going to be more

656
00:31:11,120 --> 00:31:13,160
challenging for Tesla. 
We'll see if they do it over 

657
00:31:13,160 --> 00:31:15,680
time, but Uber is probably OK 
either way. 

658
00:31:15,800 --> 00:31:18,200
Now finally, we get to the most 
important segment of the day, 

659
00:31:18,200 --> 00:31:21,280
which is the financial TikTok 
reaction. 

660
00:31:21,600 --> 00:31:24,680
This individual here has a plan 
of solving America's debt. 

661
00:31:25,000 --> 00:31:29,160
We have $37 trillion in debt. 
We're gaining like another 

662
00:31:29,160 --> 00:31:31,280
trillion dollars every every 
year. 

663
00:31:31,280 --> 00:31:32,760
It's just an incredible amount 
of debt. 

664
00:31:33,320 --> 00:31:36,520
So I'm happy to see that this 
this individual is is he's going

665
00:31:36,520 --> 00:31:38,200
to solve it. 
He has a plan to solve it. 

666
00:31:38,400 --> 00:31:39,760
Let's go ahead and listen to his
plan. 

667
00:31:39,920 --> 00:31:43,840
No, America is $1 trillion in 
debt, but I know how we could 

668
00:31:43,840 --> 00:31:46,880
solve this. 
Let me take the debt, bro. 

669
00:31:47,560 --> 00:31:50,640
Someone has to do it. 
Someone has to step up and be a 

670
00:31:50,640 --> 00:31:52,280
freaking trillion dollars in 
debt. 

671
00:31:52,640 --> 00:31:55,440
And I'm not afraid to be that 
guy, All right? 

672
00:31:55,760 --> 00:31:58,320
I'll be the one that's freaking 
in a trillion dollars of debt 

673
00:31:58,320 --> 00:32:00,440
because you know what I'm 
saying? 

674
00:32:00,440 --> 00:32:04,000
Who's that he? 
He, this is his plan. 

675
00:32:04,000 --> 00:32:06,160
He's going to, he's going to 
take the debt for us. 

676
00:32:06,440 --> 00:32:10,320
That's really kind. 
I think he's really, you know, 

677
00:32:10,320 --> 00:32:11,960
that's a lot of debt. 
Some people complain about 

678
00:32:11,960 --> 00:32:13,920
having like twenty, $30,000 of 
debt. 

679
00:32:14,280 --> 00:32:16,160
They might have a mortgage 
payment or a car loan. 

680
00:32:16,560 --> 00:32:19,400
Imagine having $37 trillion of 
debt. 

681
00:32:19,400 --> 00:32:21,960
That'd be so tough. 
Like imagine those interest 

682
00:32:21,960 --> 00:32:24,000
payments. 
You have to pay $700 billion in 

683
00:32:24,000 --> 00:32:26,200
interest per year. 
That's a lot. 

684
00:32:26,920 --> 00:32:29,040
I think that would that would 
weigh down on me. 

685
00:32:29,120 --> 00:32:32,520
Like I even with a higher income
than average, I still think I'd 

686
00:32:32,520 --> 00:32:35,360
have trouble paying off $37 
trillion of debt. 

687
00:32:35,360 --> 00:32:38,280
So that's really kind of him to 
to take this on. 

688
00:32:38,400 --> 00:32:41,520
I think he continues on here 
explaining how he's willing to 

689
00:32:41,520 --> 00:32:44,120
be this sacrificial lamb. 
Then in debt too. 

690
00:32:44,920 --> 00:32:46,760
Who's the one that's going to 
pay this debt? 

691
00:32:47,440 --> 00:32:49,480
This debt doesn't even really 
exist. 

692
00:32:50,200 --> 00:32:53,160
Let me be the one to have this 
debt bro 'cause then I could say

693
00:32:53,320 --> 00:32:56,480
I'm a trillion dollars in debt. 
I'm a trillionaire, you know 

694
00:32:56,480 --> 00:32:57,960
what I'm saying? 
That would make me a real 

695
00:32:57,960 --> 00:33:02,080
trillionaire. 
He may have a a misunderstanding

696
00:33:02,080 --> 00:33:03,760
of what it means to be a 
trillionaire. 

697
00:33:03,880 --> 00:33:06,600
He also mentions that he doesn't
believe the debt is even real. 

698
00:33:07,080 --> 00:33:09,520
That's the point that we've 
gotten into in society. 

699
00:33:09,520 --> 00:33:11,640
The debt's so much. 
It's not even a real number. 

700
00:33:11,680 --> 00:33:13,880
Like we're you know, who even 
owns this debt? 

701
00:33:13,880 --> 00:33:15,160
Who do we have to pay back with 
it? 

702
00:33:15,720 --> 00:33:18,480
Is it even real? 
But either way, in TikTok, we 

703
00:33:18,480 --> 00:33:20,880
only get the finest and this is 
another example. 

704
00:33:21,280 --> 00:33:23,560
He's willing to take on all the 
step for us and solve this 

705
00:33:23,560 --> 00:33:26,560
problem once and for all. 
And for that, I commend him. 

706
00:33:26,560 --> 00:33:28,040
Now that's going to be it for 
this episode. 

707
00:33:28,320 --> 00:33:29,960
Hope you enjoyed seeing the next
one.

