Latest / Predictable with Stu Burguiere / Ep 1010 | Is Joe Biden Responsible for Recent Chinese AI Innovation Boom? | Guest: Christopher Bedford

Transcript

Ep 1010 | Is Joe Biden Responsible for Recent Chinese AI Innovation Boom? | Guest: Christopher Bedford · Predictable with Stu Burguiere

0:01
Stu does America.
0:06
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Use the code Stu 10 for 10% off your entire order.
0:17
Chris Bedford is here with a status update on Trump's cabinet
0:20
confirmations.
0:21
There's a lot of talk going around about,
0:23
uh,
0:23
a third Donald Trump term.
0:25
Is it possible?
0:26
We'll look at that and we'll also
0:28
start by doing
0:29
deep
0:30
seek.
0:31
Yes,
0:31
deep seek.
0:32
Do you have it on your phone?
0:33
Get it off your phone.
0:35
I'm just saying.
0:36
Uh,
0:36
it's a new chat GBT type of thing,
0:38
right?
0:38
That's what we're hearing about.
0:39
It's all over the place right now and it has all of a sudden become a very big deal.
0:42
This is one of those weird things that's happened,
0:44
I feel like more in the last couple of years,
0:46
where
0:47
no one will be talking about one particular thing,
0:49
and then all of a sudden it would be the
0:50
only thing anyone's talking about for a few days.
0:52
Deepeek is kind of in that territory.
0:54
It is the number one app on the App Store,
0:56
and it is being talked about as a Sputnik moment for the United States.
1:01
Is this new Chinese AI
1:03
a Sputnik
1:05
moment?
1:05
This was kind of a quote from,
1:08
I think Mark Andreessen was the guy who said it,
1:10
saying that this is a big deal.
1:11
This is AI.
1:12
We obviously in the United States want to control AI,
1:15
and
1:17
Maybe we aren't as in control of it as we
1:20
initially thought.
1:21
The whole world turning upside down just over a weekend.
1:24
Deep Sek Spark's AI stock sell-off,
1:26
Nvidia posts record market cap loss.
1:29
They lose like $700 billion in a day,
1:32
something like that,
1:32
60 or $700 billion in a day in market cap,
1:35
the biggest
1:36
total ever,
1:37
just a massive,
1:38
massive amount.
1:39
I can't remember the exact number,
1:40
but it was a lot.
1:40
Now this is of course after a massive run up of Nvidia stock.
1:44
In fact,
1:45
if you look at just the big
1:47
AI companies,
1:48
they've all been just increasing and increasing and increasing.
1:51
Over the past few years,
1:52
the optimism
1:54
for AI in recent years
1:55
from 2023 January when chat GPT comes out is at about they're
2:00
thinking about a $7 trillion market capitalization for the big seven companies.
2:04
Now it's up to $18 trillion even after this drop off.
2:07
It's
2:08
way,
2:08
way,
2:08
way up.
2:09
It's a big,
2:09
it's a big deal.
2:10
Everyone's,
2:11
it's like back in the day when people would just put like
2:13
Cryptocurrency in their company description to get the stock to pop.
2:17
Now AI is the thing,
2:19
right?
2:19
Anyone who says AI
2:20
gets a nice pump in their stock for at least a short period of time.
2:24
So of course companies really,
2:25
really like
2:26
to do this,
2:27
and
2:28
it kind of challenges a very fundamental assumption
2:31
of the industry when it comes to artificial
2:34
intelligence.
2:35
The concept has basically been Nvidia's stock is going crazy
2:39
because Nvidia is producing the best and fastest chips.
2:41
They can scale things bigger and bigger and bigger.
2:44
The bigger your model,
2:45
the better it operates,
2:46
and the bigger is the better.
2:47
That's kind of the way the whole world has been structured up until this weekend.
2:52
Deepeek is now eroding AI industries.
2:54
Size is everything,
2:56
faith,
2:57
and that is kind of true.
2:58
Like they have attacked this
3:02
from the ground floor,
3:02
basically,
3:03
kind of saying,
3:04
hey,
3:04
wait a minute.
3:05
We might not be able to build as big as the people in the United States,
3:09
but we can come up with the same or better performance
3:12
much,
3:12
much cheaper.
3:13
I want to take you through how they did it because
3:15
I think it's fascinating and it kind of is really,
3:17
it almost seems like more of an American story if it's actually true,
3:21
than a Chinese sort of approach.
3:23
It's just something like this,
3:24
but
3:25
this comes from Morgan Brown who kind of walks you through it.
3:27
I'm going to go through some of his
3:30
analysis here because
3:31
And
3:32
frankly,
3:33
I don't know.
3:33
I mean,
3:34
you get to the
3:35
the deep innards of AI GPUs.
3:38
I'm not exactly the guy to go to,
3:40
and you're probably not either,
3:41
but this is a really good explanation
3:42
as to how they decided to do this.
3:45
So
3:46
some context right now,
3:47
the top training AI models are insanely expensive.
3:49
OpenAI,
3:50
anthropic,
3:50
etc.
3:51
Spend $100 million plus
3:53
just on computing.
3:54
They need massive data centers with thousands of GPUs that run like $40,000 apiece.
3:59
It's like needing a whole power plant to run a factory.
4:02
Deep Seek just showed up and said,
4:04
what if we just do it for like 5 million instead?
4:06
And they didn't just talk,
4:07
they actually did it.
4:08
Their models match or beat GPT-4 and clawed on many tasks.
4:13
The AI world is,
4:14
uh,
4:14
as many teenagers say,
4:16
shook.
4:17
How?
4:18
Well,
4:18
they rethought everything from the ground.
4:20
Traditional AI is like writing every number with 32 decimal places.
4:24
Deep Seek was like,
4:25
Well,
4:25
what if we just use 8?
4:26
Still accurate enough.
4:27
And then boom,
4:28
75%
4:29
less memory needed.
4:30
So this is kind of like
4:31
they took a very bloated
4:33
product trying to do lots and lots and lots of things and said,
4:35
Well,
4:36
what if we trim it down and make it maybe a little bit less accurate?
4:39
Maybe it's not exactly perfect,
4:40
but it's going to be faster and cheaper.
4:42
You know,
4:43
it kind of seems like the type of thing American companies normally do.
4:46
Then there's the multi-token system.
4:48
Normal AI,
4:49
this is a little bit technical,
4:50
but bear with me on this.
4:52
Uh,
4:53
the multi-token system.
4:54
Normal AI reads like a first grader,
4:57
the cat sat.
4:58
Essentially it's picking
4:59
each individual word.
5:00
It's reading one
5:01
and it's putting the next one in there.
5:03
It's predicting what that next word should be.
5:05
Deep Seek reads in whole phrases at once.
5:07
It's 2 times faster and about 90% is accurate
5:11
when you're processing billions of words.
5:13
That matters.
5:14
Here's the really clever bit they built an expert system.
5:17
Instead of one massive AI trying to know everything,
5:20
like having one person be a doctor,
5:22
a lawyer,
5:22
and an engineer.
5:24
They have specialized experts that only wake up
5:27
when needed.
5:28
So if you think about it.
5:30
It's obviously harder to have one model who's doing,
5:34
you know,
5:34
who's an expert on math and an expert on law,
5:36
an expert on history and all these other things.
5:38
They have these sort of mini models built into their model
5:41
that just kind of sit back and don't do anything until they're
5:45
activated.
5:46
This is saving lots and lots of computing power.
5:49
Traditional models have all 1.8 trillion trillion parameters active all the time.
5:55
$1.8 trillion.
5:57
Deep Seek has only $671 billion so it's about one third the size,
6:01
but only 37 billion of them are active at once.
6:05
So it's like having a huge team but only calling
6:06
in the experts you actually need for each task.
6:09
The results are mind-blowing.
6:11
Training costs goes from $100 million for the big models down to only 5 million.
6:15
GPUs needed,
6:16
the processing,
6:17
uh,
6:17
needed,
6:18
excuse me,
6:18
needed,
6:20
goes from 100,000 to only 2000.
6:23
API costs 95% cheaper
6:26
can run on gaming computers rather than data
6:29
hardware,
6:30
and that you need to really have specially built.
6:33
It's a lot more expensive.
6:35
You can kind of use consumer products to build these AI models.
6:38
That was thought to be basically impossible up until this past weekend.
6:42
So that's kind of a major,
6:43
major development.
6:44
Why does this matter?
6:45
Because it breaks the model of only huge tech companies can play in AI.
6:48
You don't need a billion dollar data center anymore.
6:51
A few good GPUs might do it.
6:53
The implications are huge.
6:55
AI development becomes more accessible.
6:57
Competition.
6:58
Increases dramatically.
6:59
The moats of big tech companies look more like puddles.
7:03
Hardware requirements and costs plummet.
7:05
Final thought,
7:06
this is like one of those moments where we'll look back as an inflection point,
7:08
like when PCs made mainframes
7:11
less relevant or when cloud computing changed everything.
7:14
AI is about to become a lot more accessible
7:17
and a lot less expensive.
7:19
The question isn't
7:20
if this will disrupt the current players,
7:22
but how fast.
7:23
So.
7:24
As I said,
7:25
that kind of sounds like an American
7:26
story,
7:27
right?
7:27
Like some big bloated company overseas doing all this stuff.
7:30
Some guy in his garage comes out and says,
7:31
actually I can do this a lot faster,
7:33
and upends the entire industry.
7:34
It's bizarre,
7:35
it's coming the opposite direction.
7:37
Some of those consequences are interesting but also
7:40
kind of scary,
7:41
right?
7:42
The positive side is obviously there.
7:45
Deep seeks great news for the corporate world,
7:48
says Axios,
7:49
and you can see how it would be great news for the corporate world.
7:53
Now the corporate world also
7:54
exists in the real world,
7:56
so it might not be so positive.
7:57
We'll get into that here in a second.
7:58
But if you think about it from a corporate world perspective,
8:00
they're dumping money into these really expensive AI models.
8:03
They're having to pay Nvidia all all this money,
8:06
all these big companies,
8:07
a bunch of money.
8:08
If they can get it a lot cheaper,
8:10
typically that's better.
8:11
We found with labor that's not always the cost or not always the truth,
8:15
right?
8:15
A lot of times you're hiring the cheapest employees overseas.
8:18
You don't get the best performance.
8:19
There are issues with that.
8:21
What they're saying is that the less money that companies need to spend on AI.
8:26
Um,
8:26
the better,
8:27
right?
8:27
Then it's going to be cheaper.
8:28
Nvidia lost $600 billion of market value in a single day,
8:31
but Apple gained more than $100 billion because they're thinking,
8:33
Well,
8:34
wait a minute,
8:34
now Apple doesn't have to spend all that money maybe
8:36
on AI.
8:37
If you still believe that the AI is going to be big,
8:39
the news out of China should only make you feel better,
8:42
said chief investment officer Mark Malick.
8:44
So that's kind of how
8:46
the Wall Street world is thinking about it,
8:48
but
8:48
We kind of have to look a little bit deeper than that,
8:50
right?
8:51
We can't just look at whether this is going to be good for companies long term.
8:54
We have to look at what does it mean for America.
8:56
I mean,
8:56
for example,
8:57
American companies
8:58
having control of AI is obviously a positive long
9:02
term if you happen to be an American.
9:04
You don't want China running this for you.
9:06
There's been a lot of reports,
9:07
you've probably seen them already.
9:09
We talked about it on radio yesterday.
9:10
Glenn demonstrated it live yesterday.
9:12
Ask if one of you ask Deep Sik about
9:15
Tiananmen Square,
9:17
and it will start telling you about Tiananmen Square until it remembers,
9:19
holy crap,
9:21
actually,
9:21
in reality,
9:22
I'm not supposed to tell you that,
9:23
and it just says,
9:24
ah,
9:24
this is beyond my scope.
9:26
It's not beyond its scope.
9:27
It's able to answer that question,
9:29
but as you remember when we were talking about the way the model is built,
9:32
you have one kind of AI agent that gets your answer,
9:36
starts giving you the basic answer,
9:37
and then it asks the experts right behind the scenes,
9:41
the expert part of the model
9:43
in that particular field to give it clarification.
9:46
And when it does that,
9:47
that expert
9:48
part of the model,
9:49
which is basically the Chinese Communist Party.
9:52
Says you can't talk about that,
9:54
so it deletes what it's giving you in real time.
9:57
You want to talk about like 1984,
9:59
I mean it's directly right out of there.
10:02
Now,
10:02
uh,
10:02
it's not just that,
10:03
it's also could affect you.
10:05
It's not just our national security,
10:06
it could affect you very closely.
10:08
For example,
10:09
just FYIs from Luke de Pulford,
10:11
um,
10:12
DeepSeek collects your IP,
10:14
your keystroke patterns,
10:16
your device info,
10:17
etc.
10:17
etc.
10:18
etc.
10:18
and stores it in China,
10:20
where all that data is vulnerable to arbitrary requisition from the Chinese state.
10:25
If you don't think this is true.
10:26
You can read it right in their
10:29
terms of service.
10:30
The personal information we collect from you may be stored at
10:33
a server located outside of the country where you live.
10:35
We store the information we collect
10:38
in secure servers
10:40
located in
10:41
the people's.
10:42
Republic
10:43
of China.
10:44
Now what do we do about this?
10:47
Obviously all these big companies,
10:49
the anthropics,
10:50
the,
10:50
uh,
10:50
you know,
10:51
the Google,
10:52
the Open AIs
10:53
are going to come together and hey,
10:55
let's implement some of these approaches.
10:57
What can we get out of this?
10:57
What can be better?
10:59
They already are doing some of this.
11:00
They've done it actually before.
11:02
This isn't totally new to them.
11:04
But it is
11:06
taking off,
11:06
as I mentioned,
11:07
the number one app
11:09
in the App Store.
11:09
It's hard to understand why TikTok wouldn't be allowed in the App Store,
11:13
and this would.
11:14
It seems like the same approach should apply
11:17
to a company like this that applies
11:19
to TikTok,
11:20
because the farther the Chinese get into our data,
11:23
the farther they get into this technology,
11:26
the worse for America,
11:27
and we are in a competition at the very least
11:30
with China.
11:31
They get ahead of us in this situation.
11:33
Let me bring Glenn Beck in here
11:35
tomorrow,
11:35
and he will tell you all about the dangers of China having AI before we do.
11:40
Not
11:41
not positive,
11:42
and not when I'm talking about AI like in the current form.
11:44
We're talking about AGI and ASI.
11:46
When we get to those places,
11:47
which is artificial general intelligence and artificial superintelligence,
11:50
those levels,
11:51
those steps,
11:52
if we don't hit them first,
11:53
we could be in serious,
11:54
serious trouble
11:55
because they go way,
11:56
way beyond
11:57
what we're.
11:58
Talking about here,
11:59
a little chatbot that gives you answers instead of
12:01
you being too lazy to search the web.
12:03
We're talking about all the human computing power
12:06
together
12:07
in one little machine,
12:08
basically,
12:09
right?
12:09
Like it's going to be smarter than every human combined.
12:12
That's when you get to artificial superintelligence.
12:14
So
12:15
what do you do about this?
12:16
A lot of people are talking about tariffs as being a possibility.
12:18
Trump of course talked about tariffs when it's related to this.
12:21
Trump says he will put tariffs on imported chips in the near future.
12:25
So he actually seems to be reacting positively to the idea of Deepeek.
12:28
Generally,
12:29
he says
12:30
in the near future
12:33
tariffs are coming on those chips,
12:35
but he also name checked Deepeek's AI releases,
12:38
saying coming up with faster methods of AI
12:40
and less expensive,
12:41
that's good.
12:42
I view that as a positive if it is in fact true,
12:45
and nobody knows,
12:46
but I view that as a positive.
12:47
And generally speaking,
12:48
of course,
12:48
that approach is true,
12:49
right?
12:50
When you can lower costs even when it comes from overseas,
12:53
generally speaking,
12:53
it's good for people.
12:54
It's why you get to buy goods that you consider to be,
12:58
you know,
12:58
we all consider to be pretty cheap.
13:01
You're getting $159 60-inch TVs.
13:03
Why is that happening?
13:04
It's not because you know all those are built in the United States.
13:07
Sometimes we can get those elements built overseas.
13:11
The American people save a lot of money.
13:12
I know there's there's back and forth on that,
13:15
give and take,
13:16
but generally speaking,
13:16
it's a positive for consumers,
13:18
right?
13:18
And the same thing would be
13:21
applicable here
13:22
where you have a situation.
13:24
That people,
13:26
companies getting this technology are going to spend less.
13:28
You will probably spend less on that technology when you want it.
13:33
There are other positives and negatives though,
13:34
however,
13:35
uh,
13:35
Jim Garrity has a good piece breaking this down,
13:37
America's artificial intelligence Sputnik moment,
13:40
and the concerns here are real and
13:44
beyond the concerns,
13:44
the questions of whether this is actually true
13:47
are out there as well.
13:49
They do seem to have these levels of performance with Deep Seek.
13:52
It does seem to be running particularly well.
13:54
That's true.
13:56
However,
13:56
do they really,
13:57
are they really doing it on the shoestring budget that they're bragging about?
14:01
Scale AI CEO Alexander Wang,
14:03
he's the youngest self-made billionaire in the world,
14:06
he told CNBC's Squawk Box on Thursday.
14:09
The Deepeek probably used tens of thousands
14:12
of under the table Nvidia chips to create their model.
14:15
My understanding is that Deepeek has about 50,000 H-100s,
14:18
which is this high level chip,
14:20
which they can't talk about.
14:21
Obviously it's against the export controls the United States has.
14:24
In place,
14:25
and I think it's true that,
14:26
you know,
14:27
I think they have more chips than other people expect,
14:29
but on an ongoing forward basis they're going to be limited by
14:32
the chip controls and the export controls that we have in place.
14:35
For what it's worth,
14:36
Elon Musk concurred
14:38
and he said
14:38
that's true,
14:39
obviously.
14:40
So
14:41
it's fascinating because you know we don't know for sure if this
14:44
company has actually achieved all these things that they're bragging about.
14:47
Again,
14:47
it's their work,
14:48
right?
14:48
So we don't know.
14:49
It is open source,
14:50
so a lot of people are checking it and seeing that looks like actually this is
14:54
this performance is where they say it is.
14:56
But of course on the other side,
14:58
did they do that with all these expensive chips and just not tell anybody?
15:01
That's certainly possible.
15:03
What's fascinating about this is there's sort
15:04
of a function of unintended consequences.
15:07
The government here understandably went and said,
15:09
wait a minute,
15:10
we need to secure AI for the American people
15:12
because if other companies in other countries get it,
15:15
we're kind of screwed.
15:16
So they prevented these chips from being shipped out to China in large numbers
15:20
because they did not want them to have it.
15:22
They didn't want China to beat us to the punch.
15:24
Of course,
15:25
since we did that.
15:27
The Chinese were like,
15:28
Well,
15:29
since we don't have these chips to use in a major way,
15:33
we have to do it cheaper and more efficiently.
15:35
That
15:36
incentivized them to come up with a new way of doing it,
15:39
which is the thing now that is sinking Nvidia
15:41
stock and really putting a hole in the US AI
15:45
industry.
15:45
So
15:46
just a massive unintended consequence.
15:49
It reminds me of this series.
15:50
You may have seen it on YouTube.
15:51
You can watch a bunch of them.
15:52
Reason has done it,
15:53
Reason magazine,
15:54
Reason.com.
15:56
They did a series of unintended consequences.
15:59
They're great.
15:59
They're like a minute long,
16:00
and they just tell the story of
16:03
these well intended
16:04
policies from governments that wound up screwing everything up in the long term.
16:09
So I figured I'd leave you with an example of one of these.
16:13
It's reasons unintended consequences.
16:16
The year 2021.
16:18
The problem,
16:18
Sri Lanka's farms aren't organic.
16:21
The solution,
16:21
an immediate nationwide ban on synthetic fertilizer and pesticides,
16:26
which coincidentally saves Sri Lanka $400 million in annual subsidy
16:29
costs while they wrestle with a deep financial crisis.
16:32
Oh,
16:33
right,
16:34
maybe that was the real problem.
16:36
Sounds like a great idea,
16:37
with the best of intentions.
16:39
What could possibly go wrong?
16:40
Turns out synthetic fertilizer and pesticides actually work.
16:45
6 months after the presidential decree,
16:47
Sri Lanka's biggest export,
16:49
tea,
16:49
was down 18%,
16:51
and rice production plunged 20%,
16:53
forcing the once proudly self-sufficient country to import
16:56
rice at a cost of $450 million.
16:59
Due to public backlash,
17:00
the government was forced to reverse their ban and
17:02
pay out hundreds of millions to compensate farmers.
17:06
Opening the country's economic crisis and fanning
17:09
protests that led to the president's resignation
17:11
and temporary exile,
17:14
Rice.
17:25
All right,
17:25
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17:30
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18:23
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18:26
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18:27
the Dark.
18:31
I want to bring in Chris Bedford,
18:32
he's a senior politics editor,
18:34
uh,
18:34
and uh DC correspondent for Blaze News.
18:36
Has a new piece over at The Blaze right now.
18:38
It's Republicans gear up for inter-party,
18:41
uh,
18:41
confirmation battles.
18:42
I'll be sure to tweet a link to it shortly.
18:45
Uh,
18:45
Chris,
18:45
thanks for coming on the show.
18:46
Great to see you in DC the other day.
18:48
Yeah,
18:48
it was great to have you,
18:49
Stu.
18:49
Welcome back to the swamp,
18:50
although I guess you're
18:51
now enjoying the warmth of Texas as opposed to our
18:54
frigid conditions.
18:55
I'm sure you miss it.
18:56
Yes,
18:57
I was,
18:57
I was,
18:57
I did book a flight approximately
19:00
1 hour and 10 minutes after the show,
19:02
so I could get there as fast as possible and get back to Texas.
19:05
No knock on DC of course,
19:06
it was,
19:07
it was a wonderful time.
19:08
It was actually a really cool time because it,
19:09
it was different than I remember DC.
19:11
I think all the liberals just left.
19:13
I think they just tried to escape inauguration.
19:15
They fled en masse.
19:17
They,
19:17
some of them put their houses up on Airbnb,
19:19
but the other ones couldn't even make a dollar off of the whole opportunity.
19:23
They were so,
19:24
they were so terrified of this MAGA army
19:26
approaching to celebrate and have some beers and
19:30
enjoy the city.
19:31
Um,
19:31
let's go to the confirmation battles because it's been,
19:33
it's interesting.
19:34
I want to get to the specifics here,
19:35
and you have these in your piece,
19:36
uh,
19:37
some of the more contentious ones that are coming up.
19:39
But I do think that there is a lesson here for,
19:42
uh,
19:42
that Donald Trump is,
19:43
is,
19:43
uh.
19:45
Established to future Republicans as well,
19:48
which is
19:49
you start off with announcing someone like Pete Hegseth,
19:52
and he's controversial,
19:54
and there are moments in that process
19:56
where
19:57
I think you might,
19:57
I remember looking at the markets at one point
20:00
and seeing something like a 14% chance he was going to get confirmed
20:03
and
20:05
The lesson to me here is,
20:06
if you abandon a person like that,
20:09
if you give in to that pressure,
20:11
all that people are going to do is take that scalp and move on to the next person.
20:15
So if instead you hunker down
20:18
and you back the person,
20:19
if you believe they're the right person,
20:20
and take it all the way to the finish line,
20:22
it makes the whole rest of the process a lot easier.
20:25
Yeah,
20:25
that's exactly right.
20:26
They,
20:27
there's a weird combination where senators at one point
20:30
sense weakness and will try to exploit it.
20:33
On the other hand,
20:33
they also need to feel like they're being
20:35
considered,
20:36
that they're,
20:36
they're not just being told what to do.
20:38
I mean,
20:39
unlike the House of Representatives,
20:40
there's only 100 senators,
20:41
so
20:42
they have more power and they expect more
20:44
given to them.
20:45
So that was kind of Matt Gates was the suicide bomber who went off and
20:50
Didn't ever really stood a chance in the US Senate,
20:52
so they said fine,
20:53
you can have your one guy,
20:55
you can have your advise and consent.
20:57
That's OK.
20:58
And then when they tried to pull the same thing on Pete Hegseth,
21:00
and we saw recently this report came out that McConnell's closest ally Thom Tillis
21:05
was,
21:06
was,
21:06
was instrumental in bringing out a report
21:09
from Hegseth's ex sister-in-law who was a Democrat that could not be corroborated,
21:13
that he was a bad guy.
21:15
These kind of shenanigans were played in,
21:16
but
21:17
Republicans attacked the social media response of Trump
21:21
supporters against senators who attacked Hegseth was massive.
21:25
The phone calls pouring into senators' offices
21:29
were overwhelming in support of Hegseth,
21:31
and they kept him on the field.
21:32
He had the full throated support of the president,
21:35
they pushed him in.
21:36
And now it seems like
21:37
most of these other hearings may be less contentious,
21:41
but of course even more than Democrats are
21:43
being a threat to any of these nominations,
21:45
it's Republicans,
21:46
and they threaten to sink most of all,
21:48
I think,
21:48
Tulsi Gabbard
21:49
and RFK.
21:50
Yes,
21:50
let's go through the really contentious ones here.
21:53
Kash Patel,
21:54
RFK,
21:55
and Tulsi Gabbard.
21:56
These are the ones.
21:57
That seem like really the only remaining
22:01
candidate or
22:02
potential appointees that would
22:05
have issues
22:06
and as you point out,
22:06
obviously Republicans can get this over the finish line themselves.
22:09
If they all stick together,
22:10
they can get there themselves.
22:12
Hegseth got through with 50 votes and needed JD Vance to cast that tiebreaking vote.
22:16
What do we think about the chances for Tulsi Gabbard?
22:19
I think Tulsi Gabbard
22:21
faces stronger headwinds than either of the other
22:24
two nominees,
22:25
and the reason for that is because she commits the cardinal
22:27
sin of independent thinking on foreign policy and American intelligence matters.
22:32
Now you'd think that that would be
22:33
something that would be taken,
22:34
uh,
22:35
that would be lauded.
22:36
The American intelligence apparatus and a lot of our
22:39
foreign policy has been professionally wrong on everything.
22:42
I mean,
22:42
the CIA was set up to predict,
22:44
to figure out the end of the Soviet Union,
22:46
and they were surprised when the whole thing wrapped up.
22:49
That was their core mission,
22:50
and they haven't really,
22:52
uh,
22:52
shown themselves to be that much better ever since.
22:55
So questioning these things,
22:56
however,
22:57
is completely not allowed,
22:58
and Tulsi Gabbard will not always correct.
23:01
Has at least shown independent mindedness that would be near the president.
23:05
Now some of the neoconservatives and some of the
23:07
other more hawkish people who do oppose her,
23:09
however,
23:10
have tried to assuage themselves,
23:11
calm themselves down by saying,
23:13
well,
23:14
the Director of National Intelligence is not as important as it used to be.
23:19
It's not someone who
23:20
Has quite the power that the office was originally given after 9 9/11.
23:25
However,
23:25
it still is a voice in the room.
23:27
It's someone who's gonna coordinate
23:28
the president's daily intelligence briefings,
23:30
so it's an important voice to have.
23:33
She may get through,
23:34
but she's going to face the most resistance from Republicans.
23:37
Yeah,
23:37
and it's,
23:37
it's,
23:37
you're right,
23:38
an interesting thing.
23:38
I mean,
23:39
it doesn't seem like as important as some of these other roles,
23:41
but you know,
23:43
that might be the right thing.
23:44
Like,
23:44
obviously Trump has a streak that's kind of consistent with
23:47
Tulsi Gabbard on foreign policy that's kind of been his.
23:49
Stance
23:50
since the very beginning,
23:51
so it's important to have that voice in there and he's also got,
23:53
you know,
23:53
whatever Marco Rubio,
23:54
for example,
23:55
who is,
23:55
I would say considerably more hawkish
23:58
than Tulsi Gabbard in there on those conversations as well,
24:00
along with the many others.
24:01
So,
24:02
OK,
24:02
that's number one,
24:03
and I do think you're right,
24:04
it does seem like there's.
24:06
It's all that national secretary national defense sort of sector
24:10
of the Republican Party that is going to be opposed
24:13
to Tulsi.
24:14
Let's go over to Kash Patel now.
24:15
Patel,
24:16
you know,
24:16
he has been a guy who he's been on a lot of our shows,
24:19
as has Tulsi
24:21
here at the Blaze.
24:24
Again,
24:24
the controversy is there.
24:25
You write about this,
24:26
and you say maybe his biggest problem
24:28
might be some of this January 6th stuff.
24:32
That's what Democrats are gonna go after,
24:33
man.
24:34
I mean,
24:35
Democrats would get political points for sinking Kash Patel's nomination.
24:39
Unlike Tulsa,
24:39
who used to be a rising star in the Democratic Party,
24:42
unlike RFK Junior,
24:43
who's a member of their most noble family,
24:46
he is a MAGA type through and through.
24:48
Like he literally wrote that children's book,
24:50
The Plot to overthrow the King,
24:52
about Donald Trump's impeachment.
24:54
He's a loyal warrior and he's been.
24:56
And someone also who,
24:57
when he was outside working in Congress,
25:00
was instrumental in exposing some of the rotten corruption in the FBI
25:05
as an investigator and some of the rotten corruption that was
25:07
going on in the Department of Justice as an investigator.
25:10
So Democrats don't want him inside.
25:12
There are tools to try to keep Republicans out
25:15
to vote against him.
25:16
One of them is going to be January 6th.
25:18
They're going to go to Kash Patel and say,
25:20
Do you support
25:22
releasing or going easy on people who attack law enforcement?
25:26
This is something that's made a lot of Republican senators,
25:29
people were talking about it over the weekend,
25:30
very nervous.
25:31
They don't like this sort of thing.
25:32
They,
25:32
they are afraid of January 6th.
25:34
We talk a lot about it on Blaze.
25:36
We're exposing the truth
25:37
all the time,
25:38
but to them,
25:39
they go,
25:39
before they go to sleep at night,
25:40
they look under their bed to make sure January 6th isn't under there.
25:43
Senators are totally cowardly on this subject,
25:46
so this is a place where Democrats hope to be able to route them.
25:49
But Kash Patel is going to have to go forward and say,
25:51
listen,
25:52
if someone assaults a law enforcement officer,
25:53
my FBI is going to investigate and arrest them.
25:56
Then it's up to the Department of Justice if they
25:57
want to prosecute that person and put them in prison,
26:00
and it's the president's prerogative
26:01
to issue pardons.
26:02
This is well established.
26:04
The FBI absolutely send to their law enforcement.
26:07
That's his path to get through it.
26:08
And of all three of the nominees coming up on Thursday,
26:10
he's got the most momentum with the GOP.
26:12
Yeah,
26:13
it does seem like he's got to get through,
26:14
and,
26:14
and that was a big question at the beginning.
26:17
I think though,
26:18
if,
26:18
you know,
26:19
again,
26:19
if he had bailed on Hegseth,
26:21
I,
26:21
I,
26:22
I,
26:22
Patel probably would have been next,
26:23
right?
26:23
Somebody else and,
26:24
and like the fact that he didn't bail on him,
26:27
I think means that probably Patel,
26:28
unless there's something we don't know yet,
26:30
probably does get through,
26:31
and that would be a major change,
26:33
um,
26:34
a major change
26:35
in the FBI.
26:37
OK,
26:37
let's,
26:37
let's go over to RFK.
26:39
I got to be honest with you,
26:40
Chris,
26:40
I,
26:40
I,
26:41
of all these,
26:41
I'm not the biggest RFK Junior fan generally speaking.
26:44
I'm kind of more of a like Trump in summer 2024 on RFK,
26:48
right?
26:48
I'm not a big fan.
26:50
Obviously they have this big.
26:51
Uh,
26:52
you know,
26:53
moment where RFK comes out and is,
26:55
uh,
26:55
and endorses
26:57
Donald Trump,
26:58
which was a really smart politics
27:00
for both of them,
27:00
right?
27:01
This is something RFK wasn't going anywhere.
27:03
Trump needed a few votes in a very close election.
27:05
They obviously are aligned on some issues.
27:08
What do we think RFK Junior's chances are of getting through?
27:11
RFK also faces pushback from Republicans,
27:14
and you've got an interesting
27:16
array of them.
27:17
Uh,
27:17
Mike Pence is pretending that he's coming at this from a pro-life point
27:20
of view because RFK has expressed pro-abortion views repeatedly in the past,
27:25
but has promised to,
27:27
to
27:27
actually,
27:28
as as a confirmed director.
27:31
Execute the president's agenda on that and push his own personal views aside,
27:35
so I think
27:36
Mike Pence's attacks on him are disingenuous.
27:38
This is an attempt to really
27:39
mess with the Trump administration.
27:41
At the same time,
27:42
you see the Murdochs over at Fox have come out against RFK.
27:45
I would strongly suspect that that has something to do with the
27:49
hundreds of millions of dollars in advertising
27:51
from pharmaceutical products that go across their channels
27:54
in the United States.
27:55
It's not legal anywhere else in the world,
27:57
and there are powerful enemies arrayed against RFK
28:00
because of his questioning of the medical establishment,
28:03
because of his
28:04
questioning of Americans' food processes.
28:07
I think
28:08
that he's someone who makes Republicans
28:09
a little nervous,
28:11
but.
28:11
Democrats aren't going to want to claim his scalp either.
28:14
It's not going to mean that much to their voters to knock out RFK.
28:17
He's basically,
28:19
he's the most liberal nominee you're going to get from anyone in the Trump cabinet.
28:23
And at the same time,
28:23
he comes to that very interesting moment where
28:25
Republicans and conservatives are more health conscious,
28:27
more questioning the medical establishment,
28:29
more angry at Anthony Fauci and the,
28:32
and the vaccination regime,
28:33
and more interested in what he's saying.
28:36
He's an interesting.
28:37
I think he probably gets through,
28:40
but the loyalty
28:41
amongst the GOP just isn't there yet for the reasons that you mentioned.
28:44
Yeah,
28:45
I think too,
28:45
I think there's a good chance he gets Democrats.
28:47
Like if I'm a Democrat,
28:48
I think Fetterman's already said he would vote for him if I'm not mistaken.
28:51
If I'm a Democrat,
28:52
like this is the best you're going to do on this role,
28:54
right?
28:54
So why not embrace it?
28:55
You're not going to get everything.
28:56
You're probably going to be mad at him a lot,
28:58
but considering the alternatives,
29:00
I think
29:00
it's probably a good approach for them.
29:03
So let me step back from this for a second because
29:06
both Gabbard in particular and RFK Junior,
29:09
um,
29:10
I think there's a lot to like,
29:12
especially with Tulsi.
29:13
I,
29:13
I like Tulsi a lot personally.
29:15
RFK Junior.
29:15
I don't like a lot personally,
29:16
but like he has some things that I agree with him on as well.
29:19
They definitely both have things to offer.
29:21
But
29:23
is this the right approach,
29:24
because I mean
29:26
there's got to be like Jay Bhattacharya is another guy he's putting in at the NIH.
29:30
He would have been a great head of the HHS,
29:32
right?
29:33
There are other people who don't have
29:37
hardcore liberal.
29:38
Backgrounds
29:39
that have the same viewpoints as a lot of these guys.
29:42
Like why risk it?
29:44
Why why
29:45
spend political capital getting an RFK Junior
29:47
or Tulsi Gabbard across the finish line
29:49
when you probably could find someone who's been a lifelong conservative
29:53
that would execute the same game plan.
29:56
That's true.
29:56
Although I think a lot of the way Trump hires in general is with people who he knows,
30:01
has some personal interaction with,
30:03
and to be frank,
30:04
has seen on television a lot.
30:06
That's where he gets a lot of his news.
30:08
That's why he's able to connect so well with a lot of the American people who
30:11
do the same.
30:12
So he's going to want those people who
30:13
he actually has that personal relationship with,
30:15
especially after the disaster of his first cabinet in 2017.
30:19
Included people who he reportedly had never even spoken to in person
30:23
and it ended up not actually being
30:25
the dream team that he had expected.
30:27
One thing you can be sure about with RFK
30:29
is that he's going to be completely committed to dismantling
30:32
this
30:33
medicinego relationship,
30:35
the pharmaceutical government relationship.
30:37
He's staked his credibility on this.
30:39
He's staked
30:39
his relationships with his family on this.
30:43
Well,
30:43
how well he'll actually be able to
30:44
administrate in a massive sprawling bureaucracy,
30:47
another problem that Pete Hegseth is going to face,
30:50
will be a difficult thing,
30:51
and
30:52
folks have been
30:53
pointing out,
30:54
I think they've got some points,
30:55
that there are more experienced people out there for a lot of these roles.
30:58
But it is also essential when you're an
31:00
outsider who's been in the wilderness for some time
31:03
to bring in people who have nothing to lose,
31:04
to people who aren't of the system.
31:07
I mean,
31:07
it's it's shocking how little
31:09
putting a general in the Department of Defense is actually
31:12
able to get reform in the Department of Defense.
31:14
A lot of the times these people who came
31:15
from the systems operate within the systems very easily.
31:19
They're not as,
31:19
they're not as irked by what's going on in the system.
31:22
Someone who comes in from the outside,
31:24
if properly advised,
31:25
if with the correct
31:27
staff underneath them,
31:28
is,
31:29
is well suited to execute that mission.
31:31
It's going to be a really fascinating thing to watch over the next few days.
31:34
Chris Bedford,
31:35
senior politics editor
31:36
and DC correspondent.
31:37
For Blaze News,
31:39
be sure to check out his new piece over at The Blaze.
31:40
Got all the details on it,
31:41
really great breakdown of all these nominees.
31:44
Republicans gear up for intraparty confirmation battles.
31:46
You can find a link to it on my Twitter page as well.
31:49
Chris,
31:50
thanks so much for coming on the program.
31:51
I appreciate it.
31:51
Thank you,
31:52
Stu.
31:52
See you soon.
32:01
Well,
32:01
as you know,
32:01
one of the central policies of the Trump
32:03
administration is to eliminate all gay people.
32:05
Um,
32:06
and,
32:06
you know,
32:06
look,
32:07
we will be critical,
32:08
uh,
32:08
where we have to be
32:10
on Donald Trump
32:11
and let you know he's failing miserably
32:13
at that goal.
32:15
Miserably.
32:15
He's the worst homophobe I've ever heard of in my entire life.
32:20
Here's another example of it,
32:21
Scott Besset.
32:22
Uh,
32:22
he's made history at the Treasury
32:24
as the highest ranking LGBTQQIA2+ community.
32:29
Official.
32:30
That's right.
32:31
That's right.
32:31
He's broken the ceiling of whatever,
32:34
I don't I guess glass is women.
32:35
I don't know what it is for LGBTQQIA2+
32:39
people,
32:40
but,
32:40
uh,
32:40
he's
32:41
broken that,
32:43
whatever that is.
32:43
Now he's also a former Soros guy,
32:45
which made me a little uncomfortable.
32:46
I feel like,
32:47
again,
32:47
I mentioned this with,
32:48
with,
32:49
uh,
32:49
Chris earlier.
32:49
It's like
32:51
I mean,
32:51
all these people might work out perfectly,
32:53
but I am a little concerned that we just keep plucking like,
32:56
you know,
32:57
Democrats and,
32:58
you know,
32:58
uh,
32:59
people who ran against Donald Trump during the most recent campaign.
33:04
And,
33:05
you know,
33:06
George Soro's people,
33:07
and I,
33:09
All right,
33:09
OK,
33:10
but,
33:11
uh,
33:11
let's just watch closely.
33:12
How about that?
33:12
Can we just all come together and just say,
33:14
let's watch,
33:15
uh,
33:15
watch everything that's going on closely.
33:17
Although a lot of people really do like,
33:18
uh,
33:20
uh,
33:20
Scott,
33:21
uh,
33:21
so
33:22
it's possible he's going to be fantastic.
33:23
We will,
33:24
uh,
33:24
we will see.
33:25
But Donald Trump failing
33:26
in his,
33:26
uh,
33:27
in his promise to eliminate all gay people.
33:28
At least I heard that on MSNBC.
33:30
Uh,
33:30
Trump is also signing executive orders.
33:32
We mentioned a couple of these yesterday.
33:34
There's 4 of them.
33:36
One of them was reinstating the people
33:38
in the military
33:40
who
33:41
were thrown out because of COVID and the vaccine.
33:44
Also,
33:45
uh,
33:45
he wanted to create an American Iron Dome,
33:48
also looking at to
33:50
determine a policy.
33:51
This is an executive order to determine a policy.
33:55
For trans people
33:56
in the military based on readiness within 30 days,
33:59
it does not immediately ban transgender service members,
34:01
but it does state
34:02
a bunch of stuff that it seems that
34:04
it's not going to necessarily be something they're promoting
34:08
in the near future.
34:09
The White House is also pausing all federal grants,
34:12
sparking some confusion.
34:13
The text of it is interesting.
34:14
It says temporarily pausing all activities
34:17
related to obligations or disbursement at all
34:20
federal financial assistance.
34:22
Its orders should not be construed to
34:24
affect Social Security or Medicare recipients.
34:27
Notably missing from that was Medicaid,
34:30
so people had questions about that.
34:32
They're looking into that.
34:32
There's no real answer on that quite yet.
34:35
Also says the federal financial assistance puts on hold
34:38
but does not include assistance provided directly to individuals.
34:41
So if you were getting that,
34:42
it also,
34:44
financial assistance for colleges does not seem to be affected by this.
34:47
The document says programs affected are including but not limited to
34:52
financial assistance for assistance for foreign aid,
34:54
non-governmental organizations,
34:56
DEI,
34:57
woke gender ideology,
34:59
and the Green New Deal.
35:00
So you can see what they're targeting here.
35:02
It will be interesting to see exactly what kind of gets prevented and what doesn't,
35:07
but
35:08
they can do this.
35:10
The way the law seems to work again,
35:12
I'm not a lawyer on this,
35:13
but
35:13
Everything I've read basically indicates
35:16
that they can pause it.
35:17
They can't change the law.
35:19
They can't say,
35:20
OK,
35:20
well we're,
35:21
we're never going to,
35:22
we're going to pause all funding for DEI
35:24
because I don't like it.
35:25
They can't really do that because if it's written into some law,
35:28
they have to execute the law.
35:29
However,
35:29
he can pause
35:30
the funding for,
35:31
I think it's 45 days.
35:33
If they don't get an OK from Congress on the 46th day,
35:36
it has to go back
35:38
into effect,
35:38
at least that's what I'm understanding.
35:40
I think Brian Riedel was writing that up.
35:42
Who's been on the show many times and certainly
35:44
knows the back end of this stuff really,
35:45
really well,
35:46
so
35:47
we will get into that as we kind of get
35:49
all the ramifications known.
35:51
We don't know at this point.
35:52
And finally,
35:52
mayors of Boston,
35:53
Chicago,
35:54
and Denver and New York City are called to testify
35:57
in Congress over sanctuary city policies.
35:59
These are of course the policies
36:01
usually related
36:02
to immigration where they just basically say
36:04
we don't like that law,
36:05
we're not going to participate in it.
36:08
Not normally a thing.
36:10
But that's been a thing
36:12
very recently when it comes to immigration
36:14
in sanctuary city after sanctuary city after sanctuary city.
36:17
So hopefully we'll get some answers on this,
36:20
and this stuff will stop.
36:21
I think federal funding is going to be likely withheld
36:23
from a lot of these cities if they don't actually play
36:26
ball with the law.
36:27
You've got to pay attention to the law.
36:28
There's a lot of laws I don't like.
36:29
I would like to be a sanctuary city
36:31
when it comes to a sanctuary home when it comes to paying taxes,
36:35
for example,
36:35
but they don't let me do that.
36:37
I don't get to just say,
36:38
well,
36:38
I'm not going to enforce it on myself.
36:40
That doesn't get to happen.
36:41
So for some reason sanctuary cities have been doing this for a while.
36:44
Um,
36:45
but while we're here,
36:46
let me remind you of how exciting the world of sanctuary cities can be.
36:50
It's not just a downer,
36:51
it's not just a downer,
36:52
it can be incredibly
36:54
heart throbbing entertainment.
36:56
If you are in a sanctuary city,
36:57
you may very well love it,
36:59
and it may be coming to a city
37:00
near you.
37:02
Do you want a life of adventure?
37:04
Do you long to test your survival instincts in unchecked urban warfare?
37:08
Then there's just one place to go,
37:11
sanctuary city.
37:14
Where do you go when you want name brand electronics at prices up to 100% off?
37:19
Sanctuary city,
37:21
heroin,
37:21
crack,
37:22
fentanyl,
37:22
all flowing on every street corner.
37:24
The police are defunded,
37:25
but they wouldn't give a fuck
37:27
anyway.
37:27
Bring your own needle or share with a friend.
37:29
Anything goes in sanctuary city.
37:33
Jack yourself a Hyundai and get on down to.
37:36
Celebration of human waste,
37:37
it's excrementabalooza.
37:40
Poop on the streets,
37:41
poop on your shoe,
37:43
probably pooping your food.
37:45
Fecess,
37:46
feces,
37:46
feces yourself down to.
37:50
Lollapalooza,
37:51
it's cool to have stool on every single inch of sanctuary City.
37:57
Ma'am,
37:57
what better way to say I love you than by completely destroying the rule of law,
38:02
sanctuary city.
38:04
Hello,
38:05
I'm the progressive mayor of Sanctuary City.
38:09
We've been trying the same policies for a century.
38:12
Do they work?
38:14
I don't know.
38:15
I live in a mansion 3 counties away,
38:17
sanctuary city.
38:20
If you've always dreamed of leaving your Venezuelan hellscape to go to a
38:24
city where the government will pay you to recreate another Venezuelan hellscape,
38:29
then bienvenido too.
38:30
Thank you.
38:33
More locations added daily,
38:34
you can find us by following the map to any blue state.
38:36
Warning,
38:37
don't get raped.
38:40
Left wing.
38:58
Any time in life that you have to make a big change is hard.
39:01
This is especially true when you're trying to buy or sell a home.
39:04
Maybe you're trying to escape
39:06
a sanctuary city that maybe looks like a nuclear bomb went off in it,
39:10
and you're trying to find a new place to live.
39:11
Well,
39:12
it can be really complicated.
39:13
It can take a lot of time and it can take a lot of jumping through hoops,
39:16
and of course the stakes are pretty much as high as they get.
39:18
Financial decisions that you make are really,
39:21
really important to your financial future.
39:22
You make them now
39:23
and 2030,
39:24
40 years from now they ripple throughout your life.
39:27
So obviously
39:28
you better make
39:29
the right decision.
39:30
You need a real estate agent that you can trust.
39:32
Go to real estate agents Irust.com.
39:35
There you will be paired with the top selling real estate agent in your area.
39:39
Someone who knows the best practices,
39:41
who understands the crazy market that's going on right now,
39:44
someone who's a team leader and a closer,
39:46
somebody you can trust.
39:47
If you're thinking about buying or selling a home,
39:49
or both,
39:50
it's usually the way it goes.
39:51
Please get in touch with them now.
39:52
You'll really love them and you'll see what I mean.
39:54
It's real estate agents ITrust.com,
39:56
a free service to you,
39:57
real estate agents Irust.com.
40:01
Headline from NBC News,
40:03
Trump jokes about
40:04
running for a 3rd term in speech to House Republicans.
40:07
I find this to be really funny because,
40:09
um,
40:09
a lot of times Donald Trump says a joke and they say it's serious.
40:13
This is the reverse.
40:15
He is,
40:15
I think,
40:16
totally serious about this.
40:18
I,
40:18
I've been saying it for at least 1 year.
40:20
I've been saying it before he was even president again,
40:23
that he will,
40:23
once elected,
40:24
absolutely go for a 3rd term,
40:27
and I totally think he is.
40:29
He's not joking about it.
40:30
He's saying it in a lighthearted fashion.
40:32
Uh,
40:33
he said,
40:33
by the way,
40:33
his quote was,
40:34
I've raised a lot of money
40:35
for the next race that I assume I can't use for myself,
40:38
but I'm not 100% sure.
40:39
I,
40:39
I think I'm not allowed to run again.
40:41
Am I allowed to run again?
40:43
Mike,
40:43
I better not get you involved in that.
40:46
He totally wants to do this.
40:47
Now I will say
40:48
um I
40:49
I really do believe this is going to be a serious,
40:52
a more serious effort as we go forward.
40:54
There is actually now,
40:56
shockingly,
40:57
a constitutional amendment being proposed.
40:59
This is by a congressman in Tennessee.
41:02
Uh,
41:03
Andy Ogles,
41:04
the text of it is actually very funny,
41:06
says no person shall be elected to the office of the president more than 3 times,
41:10
so it's limited at 3 if this were to go through,
41:13
nor be elected to any additional term
41:15
after being elected to 2 consecutive terms.
41:19
Why that wording?
41:21
Well,
41:21
that means Barack Obama would also,
41:23
and George W.
41:24
Bush would also be prevented from running for president for a third term.
41:29
So it would only be Trump.
41:30
It would only help Trump out.
41:31
If you win one
41:33
and then you get elected again,
41:33
you can have another one after that.
41:35
That's the way that works.
41:36
Most affected by this,
41:37
most hurt by this process
41:39
of this coming into account must be Jim.
41:42
Acosta,
41:42
who is now losing his CNN show,
41:44
sadly,
41:45
he's leaving CNN after being pulled
41:47
from the network's programming schedule.
41:48
They wanted to move him to like 4:18 a.m.
41:51
and he was like,
41:52
No,
41:52
I can't do that.
41:53
I can't do that.
41:53
Even I have more pride than that.
41:55
Acosta,
41:56
who is absolutely terrible,
41:57
is going to miss his chance to just
41:59
yell fascism at you through his television screen over
42:02
and over and over again if Donald Trump does try to go for a third term.
42:05
That'll be very,
42:06
very interesting to watch,
42:07
but.
42:08
I'm sorry,
42:09
Trump loves this stuff.
42:10
He loves it.
42:10
He's in the middle of it.
42:12
You know,
42:12
if he can get a constitutional amendment through,
42:14
he will be happy
42:15
to run
42:16
again and serve
42:17
again.
42:17
We'll see if that happens.
42:27
OK,
42:27
so here's what happened.
42:29
Uh,
42:30
there's some big winter storms that kind of hit the country recently,
42:33
including places like Florida,
42:34
Mississippi,
42:35
and Alabama that don't normally get snow.
42:37
So you know,
42:38
I mean,
42:38
we know this from being in in Dallas,
42:40
when it snows,
42:40
it's not like it is up north.
42:41
People can't get anywhere.
42:43
They all lose their mind.
42:44
They all slide all over the place.
42:45
They freak out,
42:46
uh,
42:47
and uh they don't want to go out of the house.
42:49
But sometimes you have to go out of the house,
42:50
like,
42:51
for example,
42:51
when your,
42:52
uh,
42:53
when your baby mama
42:55
goes into labor.
42:56
And that can be a little bit of a test.
42:59
And so a couple was having this particular situation,
43:03
snow all over the place.
43:04
They couldn't really go fast.
43:05
They couldn't get to the to the hospital,
43:07
and the woman started giving birth.
43:10
Her name is Shanya Bennett,
43:12
uh,
43:12
and her uh her significant other Keyon Mitchell.
43:16
And they were trying to figure it out.
43:17
All of a sudden the baby starts coming out.
43:19
Where are they at a red light.
43:20
What do they do?
43:21
They pull into Krispy Kreme.
43:22
The baby gets born in the Krispy Kreme parking lot.
43:24
This all comes out
43:26
and at the end of the day,
43:27
good news,
43:28
they get free doughnuts for a year.
43:30
Uh,
43:30
so next time,
43:31
screw the hospital,
43:33
have,
43:33
uh,
43:34
have your birth over at Krispy Kreme.