Episode Transcript
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Speaker 1 (00:01):
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Speaker 2 (01:52):
If the government is invested in something, they obviously have
an incentive for it to do well for sure, right,
and they have resources to kind of make sure that
they do well on certain levels. Correct. So should you
invest in Intel now? It's this is this is this
the by signal why Intel stock? I would not, I
don't and I won't. I would not And.
Speaker 1 (02:14):
It's not because of the like I said, the risk
mitigation of having government involvement.
Speaker 3 (02:19):
It's a good trade out of the long term investment.
Speaker 2 (02:21):
Right.
Speaker 1 (02:23):
What they do is the reason why I wouldn't invest
in it. How far they are behind in what they
do is why I would invest in it. Right, Like
we talked about it a few weeks ago in terms
of GPUs and turn the CPUs where they're at in
placement of innovation for the next three to five years. Yeah,
I don't feel like though, Yeah, twenty billion at it.
(02:43):
The race that you have to catch up is so
it's so grand that I wouldn't touch it right now.
What cream on scat is still scat Scott because scat
it is what it is.
Speaker 3 (02:58):
But I'm but you have to give them credit for
at least trying to do something to turn these companies around.
Posts just throw money at it from like if it
was just us or if it was Shark Tank or
Blackstone or Blackrock.
Speaker 1 (03:18):
No, what have issue with this?
Speaker 3 (03:20):
Should it happen? Probably not, But we cannot The economy
is so fragile it cannot contain the fallout if this
company actually went under.
Speaker 1 (03:33):
Yeah, and it's crazy chaut out to the chat again.
And I I forgot to mention when we say the
government money, that really is taxpayer money for sure. So yeah,
your money, your money, Yeah, save American companies and put some.
Speaker 2 (03:48):
Questions in chat because we are a live so we
are answering questions. Yeah, MIT reports that ninety percent of
artificial intelligence investments are currently unprofitable. What does that tell.
Speaker 3 (04:01):
Us that the AI funding bubbles coming to an end?
And I think Meta guys reported on this and I
put it in the stock club as well. I think
about it like this. Two weeks ago and three weeks ago,
you have founders that had never sold a product and
had no revenue. We're turning down multi billion dollar offers.
I don't know where they went to business school, but
(04:23):
rashot if they offer the billion something market, mondays, you
can sign for me the sign why me? So the
bubble in terms of the large language models are done
for now. There would be some a lot of focus
on sector specific llms and growth over the next two
or three years. But every company and as well, I
(04:46):
always say go to best of breed. But once you
have a category, there's only going to be a few leaders.
You're not going to have nineteens that are incredibly profitable.
Even in the defense space, it's going to be the
legacy defense company is now with the AI driven and
tech driven, you're gonna have palatin and or those are
leaders are set. So I think everyone that comes in
(05:07):
copying and it is not the pre eminent leader in
that sector, they're gonna get slaughtered.
Speaker 2 (05:12):
Yeah.
Speaker 1 (05:13):
I think that was the exact point I was gonna make.
And I'm glad you said they're gonna be a few leaders,
and there's gonna be those hyper scalers and if they
don't lead, they're gonna acquire the company that they think
could be the potential thing that changes it. I think
the reason why we see that statizens because people are
trying to make the next greatest innovation and it takes
(05:34):
a lot of capital to do that right. And I
agree with the people who are getting the capital a
lot of times don't look like us. But that that's
why you have to have things like invest fast and
again Papolar judge investing in AI and investing in scale.
But there are places where there is a rate of
return and we can focus on. Like I was like, right,
let me look it up. So inside of AI, what
(05:55):
has been working now from a business standpoint right, customer
service and service automation? Why that could be Jack told
you he created technology over the weekend.
Speaker 3 (06:07):
Yeah, yeah, things are taking six months.
Speaker 1 (06:10):
Yeap, eighteen months and twenty people. He did it in
a weekend by himself in his house, right, So if
you can do customer service and service number one, that
brings down the cost of business and it also makes
it more efficient. So that has been working inside of
the AI space, back office operations and admin tasks. I
mean we know that on a daily basis just from
our personal lives how that works, and healthcare and life sciences.
(06:31):
So this is a good when AI twos and medical imaging,
drug discovery, and clinical trial optimizations, those have been winning.
If you look at the statistics of what inside of
AI has been winning at a small scale, that has
been winning. The large scale things that the chat GBT
of the world, that's going to take a lot of time,
a lot of capital. Even when we saw with deep
(06:52):
Sea like yeah, yeah they said it was when you
did the numbers, it actually came out to being almost
seven billion. These are astronomical numbers. If you if you
can focus in these key points and then build on
top of those, yeah, you could be super successful. But
right now, everybody's trying to find the next thing. They're
trying to find the vo three. They're trying to find,
you know, but.
Speaker 3 (07:14):
Sometimes the leader is just like put it in Chat.
I will invest in the hold Chat GPT and open
A has seven hundred and fifty million weekly users. No,
I don't remember a tech company like we're talking about.
They're getting into like Microsoft ninety five operating System ninety
(07:36):
eight territory in terms of market share that they've captured.
Why would you bet against that? It's insane. Even in video,
my love for and video for anyone who built computers,
like they had eighty percent of market share in twenty
seventeen twenty nineteen, they've only gotten bigger. You can kind
of see the change. Going back to the eye test,
(07:58):
you don't see the love for Apple as much as
you used to maybe ten years prior. These are things
you can see and feel. That's real sentiment. Stop betting
against the winner.
Speaker 4 (08:07):
Yeah.
Speaker 1 (08:08):
The other part was do we know the real from
the figure? I think we know who the reel are
for sure. It's not very clear. There will be companies
that will come in as the technology gets better and
be disruptive. Right if we could find out That's why
I think what's important inside of business, like what's the
problem that we can solve. Right, there will be companies
that will problems that we're not thinking of now because
(08:30):
the technology is so great and it's so efficient and
it's so expedited, that will come and do it.
Speaker 2 (08:37):
So okay. Somebody had a question. They said in the past,
y'all said, September is a month that historically prices drop.
Should we wait for a September drop before purchasing?
Speaker 3 (08:51):
The market drops every month, Yes, by the prices on
the price that I get, respectfully, humbly. But if I
made you money, please put yes in chat. Yes, by
every month technically if you want, if you want to
be a technician, go to the month chart we charge.
They charged talked about it. Yes, so they didn't go
to a lower timeframe. There's a drop in the market
every day, but September, yes, that will be a pullback,
(09:14):
just like there was a drop in August historically, which
happened last Wednesday. The thing is when the drop happens,
it's like if I drop fifty grand on stage and
it went off and the crowd will go get it.
These drops happen on a Wednesday, then y'all don't go
pick up them. Not y'all but the general republic. When
the market drops, please go get the money out of
the market place. But September, on our first episode, I
(09:37):
would be so happy to give you prices for whatever
stocks you guys want to tune into market. Monday is
the first Monday is September, and it'll be a free
for all own pricing. Yeah.
Speaker 1 (09:47):
Historically that has been the case, but this is a
very unconventional year, So just be prepared for all of it, right.
We always talk about having reserves and being ready and
dollar cost averaging into positions, because hey, if Nvidia pulled
down to one seventy three, that could potentially be that
the lows is going to be for the next two month.
We don't know, right, but we want to make sure
that we invested from our company.
Speaker 4 (10:08):
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(10:31):
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Speaker 3 (11:06):
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