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fed RATE HIKES

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FULL TRANSCRIPT

0:00

Sudden panic volume. Look at that sudden

0:03

volume on the cues. Talked about the

0:06

Federal Reserve. Talked about exactly

0:08

what's going on in the economy. Why this

0:10

could be happening? What stocks are

0:11

doing well? Why is Tesla tanking? Why

0:14

did we see exactly this tank coming in

0:17

the Me Kevin Alpha report when yesterday

0:19

morning we said boys and girls 579 don't

0:23

get bullish on 500 the tops in we're

0:25

going back to 414. People thought I was

0:27

crazy. Look at it. We're at 420, almost

0:30

back at 414.

0:33

Wow. Damn that meat Kevin Alpha report.

0:35

But what's going on? Is this just a

0:38

temporary little volume panic or what

0:40

are the institutions reacting to? Well,

0:42

Fed Myin, who's like the resident Dove?

0:46

And when I say resident Dove, I mean he

0:48

is the epitome of Dove. a little bit of

0:50

a softening of his stance this morning

0:53

talking about, oh, you know, I might

0:54

have to flip-flop if rental inflation

0:56

comes up, which, you know, going into

0:58

this is actually a little problematic

1:00

because if you look at what's going on

1:01

with shelter inflation and the trend

1:04

we've been seeing, the trend has been

1:07

down on rental inflation. But look at

1:09

the last CPI read, rent of shelter last

1:14

the the last three months. 2 great 2

1:17

great then point 4 oh no what happened

1:21

here oh no rent of shelter sneaking up a

1:25

little bit as long as well as lodging

1:27

away from home though that significantly

1:29

less of a an impact what's a broad

1:32

impact here is that owner's equivalent

1:34

rent you're making up about 26% uh

1:36

shelter in total making up about 35% of

1:39

CPI 25% of PCE feds in preferred level

1:42

but take a look at this also a little

1:44

bit of rising gauge. Uh, and so we're

1:47

going to listen to Myron and see what he

1:49

says here because we don't really want

1:52

that flip. And and as a result, we've

1:54

just got the 10-year Treasury moving up

1:57

about a basis point and a half. Not

1:59

great, but what is great is that we

2:02

freaking nailed it. Double time today on

2:04

the Meet Kevin alpha report. Code

2:06

Daddy's back expiring today. Let me tell

2:07

you what we said in the alpha report the

2:10

last two days. expect institutions to

2:13

sell off in the morning and then a slow

2:16

schllo up on the cues because the

2:18

institutions go, "Oh my gosh, we didn't

2:20

get unemployment claims data." I

2:22

announced that right here and it's

2:24

exactly what happened. Slow schlog up

2:26

today. I'm like, "We didn't get jobs

2:28

data. Institutions might want to dump

2:29

again and then expect a slow schlo after

2:31

that." Literally exactly what happened

2:34

last two days. I also said yesterday in

2:36

the course member live, people were

2:37

like, "Kevin, Tesla's going to go to

2:38

500, right?" And I'm like, m pre-market

2:41

bump was your best chance of that. It's

2:43

fully priced in now. Traders are going

2:45

to exit. What's happened? Down 5%

2:48

yesterday. Absolutely nailed it. Down

2:51

1.5% today. Absolutely nailed it. And so

2:54

if you want to be part of that meet

2:55

Kevin membership, make sure you go get

2:57

it at meetke.com. You've got that coupon

3:00

code daddy's back expiring uh today. Get

3:02

all eight courses. Could be

3:04

taxdeductible. every trade alert, every

3:05

private liveream, every alpha report,

3:08

uh, and you get all the new lectures

3:09

that are coming out and like our tax

3:11

benefit, uh, lectures and our property

3:13

management and otherwise. So, it's

3:14

really great. So, check that out over at

3:16

mekevin.com. Killed it again with the

3:18

alpha report. Like, knock on wood, man.

3:20

This we're on a great trend. They're

3:21

really excited about this. Uh, so and

3:24

and the two stocks that we said

3:26

medium-term are really bullish, you

3:29

know, technical analysis wise,

3:30

fundamental analysis wise, they're doing

3:32

really well right now as well. Let's

3:33

listen in over here though to Myron

3:35

>> for joining us on this non-job day, jobs

3:38

day. Uh we get no government primary

3:41

economic data because

3:42

>> the only thing we got this morning were

3:44

ISMs and PMIs which the ISMs and PMIs

3:48

just to like like to get this out of the

3:50

freaking way cuz it just doesn't

3:52

freaking matter. They were pretty benign

3:56

honestly. There wasn't really anything

3:58

exciting in them. We did though see some

4:02

warning that we might start seeing a

4:04

sneak up uh in the um uh the inflation

4:09

impact of tariffs at some companies uh

4:12

like especially food importing

4:14

companies. We saw restaurants

4:15

complaining a little bit but broadly we

4:17

saw a little bit of a weakening of new

4:20

orders and a little bit of softening in

4:23

employment since we're still in

4:25

contraction on a lot of these surveys.

4:27

We didn't get any kind of smoking gun to

4:29

any direction. And broadly, if you look

4:31

at the um uh the S&P report, the S&P

4:36

report still indicates GDP growing at

4:38

2.4%. So, not bad for for the quarter.

4:42

Nothing really shocking out of those

4:43

reports that are a replacement for the

4:45

jobs data this morning because of the

4:47

shutdown right now. So, let me start by

4:49

asking uh if that continues, as a member

4:52

of the open market committee, would you

4:54

feel comfortable voting for a

4:56

significant cut in interest rates if you

4:58

don't have data on employment and on

5:01

inflation?

5:03

>> Good morning and thanks for having me.

5:04

Look, I think it's important to

5:06

recognize first of all that as you're

5:08

pointing out, access to highquality data

5:10

is

5:11

>> Love the tie, by the way. Love the tie.

5:13

I'm surprised it's not purple. It's

5:16

leaning a little left here, man. But

5:17

it's a great color

5:18

>> is of utmost importance when making

5:20

monetary policy decisions. However, it's

5:23

also the case that we don't make

5:24

monetary policy decisions every day.

5:26

Right? The FOMC meets to vote once every

5:28

6 weeks or so. Now, I think that's a bit

5:31

longer than most shutdowns have

5:32

historically lasted. So, I'm hopeful

5:34

that we'll get the data by the time we

5:35

actually have to make the decision.

5:37

Well, despite what the president says,

5:39

as you well know, inflation is rising.

5:42

Uh food prices are up, gasoline prices

5:44

higher than when he took office. uh

5:46

those are the prices that Americans

5:48

notice and hate. So isn't it a risk to

5:51

cut rates significantly in an regime

5:54

where uh

5:55

>> there is also the psychology I'm telling

5:58

you I was just at like it just it the

6:00

best example I could give you about the

6:02

psychology is I'm at the AT&T store

6:04

dealing with some bull crap customer

6:06

service trash that I shouldn't have to

6:08

be dealing with. Damn you AT&T. I never

6:10

have these issues with T-Mobile Mentor

6:12

Verizon. Anyway, the gentleman was very

6:15

nice. He's like, "Oh, I just bought a

6:17

home. I just think it's, you know, I

6:19

hope rates come down. I just think it's

6:21

weird. You know, inflation's still so

6:23

high, but but I guess they're talking

6:25

about lowering interest rates." That was

6:28

sort of his like as a human reaction.

6:30

And I'm like thinking to myself, "Oh

6:34

man, that's exactly the inflation

6:37

psychology problem that Jerome Powell

6:38

has to fight. He has to fight this." Oh,

6:41

look, Bloomberg's talking about

6:42

statistics in the entire world. To your

6:44

point, Vishy, if we aren't going to have

6:46

those, it's problematic. Jamie,

6:48

>> this is Goulby talking about it's

6:50

problematic if we're not going to have

6:51

this data. So, a lot of Fed speak coming

6:53

out today. Uh, obviously, you know, Myin

6:56

flipping on on the dove script a little

6:58

bit. Less ideal. We We want the Dove to

7:02

continue being a dove, please.

7:05

Oops.

7:08

Oops. So my view is that policy should

7:11

be forward-looking, right? I don't

7:13

necessarily have a forecast that those

7:14

items are going to continue rising. In

7:15

fact, I'd think that a lot of them will

7:17

actually reverse somewhat. But my but

7:19

for my process, what matters most of all

7:21

is the cost of housing because that is

7:23

the single largest component of the

7:25

inflation process. And it's also one of

7:27

the things that people notice the most.

7:29

They notice when their rent surges. They

7:30

notice when the cost of shelter

7:32

increases and that's why it gets the

7:33

largest weight in the inflation indices.

7:35

And my expectation is that we've just

7:37

experienced, you know, the biggest

7:39

population shocks uh to both the upside

7:41

and the downside in my lifetime and I

7:43

think in most people's lifetimes. And to

7:45

me, it would be very surprising if that

7:46

>> that's a good point. I mean, you had a

7:47

population shock to the upside with

7:49

immigration and then a downside with the

7:51

reversal of that immigration

7:53

>> trace on the price of shelter. And so I

7:55

am expecting a significant disinflation

7:57

to the services component of the

7:59

inflation disease driven by shelter

8:00

which is affected to an extent by

8:02

changes in population. So he is

8:04

expecting shelter prices to continue to

8:07

fall.

8:09

>> Okay. Hopefully

8:10

>> growth. Well, we were talking before we

8:12

came on about your view of our star, the

8:14

neutral rate.

8:15

>> And and I should be clear, rent

8:17

inflation to fall, which doesn't mean

8:19

that rent prices fall. It just means

8:21

they stop rising at a rapid pace.

8:24

>> We've got inflation running at basically

8:26

3%. You've got unemployment at 4.3%

8:29

which is historically very low. The

8:31

Atlanta Fed says we're growing 3.8% or

8:34

grew 3.8% in the third quarter. Uh

8:38

there's no economic model that I know of

8:40

that would get you to a near zero uh

8:44

neutral rate with those kind of

8:46

conditions.

8:47

>> Yeah. So, first of all, uh I've have

8:49

seen some folks argue that they think

8:51

that my conception of the neutral rate

8:53

is zero. That's not the case. I think

8:54

that's a misreading of the speech. If

8:56

you read the speech carefully, you'll

8:57

notice that I do a weighted average of a

8:59

model implied Xanti and a market implied

9:02

uh Xanti rate and it gets to about a

9:04

half. And that's consistent with the dot

9:05

that I put down on the statement on the

9:08

summary of economic projections. And so

9:09

I basically thought, you know, sort of

9:11

going into things last year, there were

9:13

all these policies that were pushing our

9:14

higher like uh highest population growth

9:17

we'd seen. It's also worth remembering

9:18

that it is true that gas prices you know

9:22

have gone up uh a bit but and and those

9:26

are very very visible but really like

9:29

how much of a component is that that the

9:31

Fed cares about less because remember we

9:33

look at core so often right I'm just

9:35

looking at some of your comments

9:36

>> decades the largest fiscal you know

9:39

sustainable fiscal deficits we'd seen

9:40

sustained fiscal deficits we'd seen in a

9:42

really long time those are pushing our

9:44

star higher so last year I really

9:45

thought it was at the top of the range

9:46

of where everyone else in the committee

9:48

thought it was. And I think it's now

9:49

come down this year to the bottom end of

9:51

the range of of of where everyone else

9:52

thinks it is.

9:53

>> But you can't model that.

9:55

>> What do you mean I can't model?

9:56

>> The models, if you put in the numbers

9:58

that we have right now, it wouldn't spit

10:00

out near zero or or half a percent.

10:02

>> Oh, re real real rate. Well, no, but

10:05

what I've done what I've done is modeled

10:07

my

10:07

>> Yeah, people do this a lot. They get

10:09

really confused

10:11

between a real rate and and like a

10:14

neutral rate. Like for example, there

10:15

was another Fed speaker a couple days

10:17

ago and they're like, "Oh, I think you

10:19

know the neutral rate is 75 basis

10:21

points." Uh, like the real neutral rate

10:25

is 75 basis points. And the idea there

10:28

is the neutral rate is probably 2.75

10:31

because you add in the 2% inflation

10:33

target 2 and then you add in the 75

10:35

premium and then you get to a real

10:37

neutral rate of just 75 bips. That

10:40

confuses people. So when you hear that,

10:42

keep that in mind a little bit. It's

10:44

almost like designed to be confusing

10:46

when we think of a neutral rate. Uh and

10:48

and just looking at some other notes

10:50

here really quickly. Uh Myron does say

10:54

that he has not yet had an interview for

10:56

Fed chair. I'm actually surprised by

10:58

that because I feel like he's he's he's

11:01

actually a pretty solid I think

11:04

intellectually sound economist. I

11:07

thought he was on like frankly just

11:08

going to be like a Kevin Hasset shill.

11:11

Uh but he's pretty good. So, you know, I

11:15

I I I like listening to him as a result

11:17

of that. Uh he says that uh yeah, if

11:20

shocks if if shock pushes rents higher,

11:23

I would adjust my inflation view. Then

11:26

we've also got Goulsby seeing both sides

11:28

of the Fed mandate deteriorating but

11:31

wary of front loading interest rate cuts

11:35

because Fed data suggests the labor

11:37

market is still stable. So that's

11:40

interesting because it somewhat suggests

11:43

even though we're not getting the jobs

11:45

data, the Fed's just going to sort of

11:47

look through the lack of this jobs data

11:48

and go, "Ah, we'll just assume things

11:50

are still stable, which is fine

11:54

for now until obviously pooh hits the

11:57

fan and then the Fed will prove to be

11:58

too late and prove Trump correct."

12:01

expectations for inflation based on the

12:03

changes that I see happening from uh

12:06

from housing. As we talked about a

12:07

moment ago, I've modeled out changes to

12:09

the output gap that I expect to see from

12:11

policies that expand the supply side of

12:13

the economy and therefore expand

12:14

potential output faster than they would

12:15

expand actual output. And some policies

12:17

that we've seen enacted over the course

12:19

of this year would push out potential

12:20

and actual by the same amount or bring

12:22

in potential and actual by the same

12:23

amount. Other policies would push out

12:25

one more than the other. And so for an

12:27

example of one that would push out one

12:28

more than the other would be

12:29

deregulation, right? I think that uh the

12:32

regulatory state has been being peeled

12:33

back over the course of this year and

12:35

all indications are that will accelerate

12:37

particularly as uh the pace of conf of

12:39

of confirmations of of appointees has

12:41

just picked up as well. That in my mind

12:43

will accelerate the pace of deregulation

12:45

too. And when you remove regulations,

12:47

you expand the potential output of the

12:49

economy faster than actual output. And

12:51

so that

12:52

>> yeah, this is this in other words a way

12:54

to say that hey, we could actually be

12:55

supportive without necessarily just cuts

12:58

because we could potentially lean on uh

13:01

what we're getting with with

13:02

deregulation a little bit. All

13:05

interesting, you know, I think there are

13:07

a couple of other, you know, bullish

13:09

catalysts here. I think that's a little

13:10

bit of of like, okay, I would have loved

13:12

a little bit more of a dove, but then

13:14

again, you know, I mean, there there are

13:16

things that apparently seem very bullish

13:18

right now, such as investor sentiment. I

13:20

mean, look, Goldman Sachs uh and their

13:24

clients are the least bearish that

13:26

they've been since liberation, and they

13:30

are the most bullish that they've been

13:31

since the election. So, you definitely

13:34

have FOMO fever going on. In addition to

13:38

that, I will say something that's very

13:40

bullish is this is if we could actually

13:43

strike a deal with China. Game changer.

13:46

China pushes Trump to drop curbs as it

13:48

dangles investment. China is potentially

13:51

dangling, as we're just now hearing,

13:53

reported by Bloomberg, the potential for

13:55

a $1 trillion investment into America.

13:59

Now, this is essentially the Chinese

14:01

government printing money and throwing

14:02

it into Train America and the American

14:04

stock market directed by Trump

14:07

essentially, which is brilliant uh

14:09

because China just prints the money and

14:10

who cares and they get what they want.

14:13

But I have to say this would follow the

14:15

model of Japan and other countries that

14:18

are like, "Hey man, if we can get a good

14:19

deal on tariffs, can we just promise to

14:21

invest a bunch of money into the United

14:22

States cuz we'll make money on that

14:24

anyway cuz the US goes up basically."

14:26

Uh, you know, absent obviously a

14:28

recession. Looks like China's also

14:29

trying to push back on the US stamps on

14:32

Taiwan. But this would be great because

14:34

right now we've got a lot of problems

14:36

with our Chinese negotiations. I mean, I

14:38

think China is I've been saying this for

14:40

a while. They're basically spreading the

14:42

legs, you know, going, "Hey, anybody who

14:45

wants free trade, come to China. We'll

14:47

manufacture all your stuff for you."

14:49

They're smoking us on nuclear. You know,

14:52

I was talking about that a little bit

14:53

this earlier earlier this morning. You

14:55

know, China's main competitor or is the

14:57

main competitor to the US in innovation

15:00

and deployment. And now they are

15:01

prolific investor, the most prolific

15:04

investor in nuclear energy in the world.

15:06

China fuels robotics with government

15:08

spending and initiatives. are fueling

15:10

nuclear with government incentives and

15:11

initiatives. They're basically, you

15:13

know, saying, "Hey, forget about Trump,

15:15

you know, come work with us." And

15:17

they're killing it on their expansion. I

15:19

mean, look at this. While we have the

15:20

most nuclear capacity in the world right

15:23

now, it's all from the 1970s basically

15:26

and died at Chernobyl basically. Look at

15:29

this nuclear capacity under

15:30

construction.

15:32

China smoking the entire world. We have

15:35

nothing under construction. So, China

15:38

once again dominating us. And so,

15:39

getting on the same page with China

15:41

again where they're destroying our

15:42

soybean market is so critical. Ah, this

15:46

downtrend we called on the alpha report

15:48

continuing on Tesla. Uh, and the slow

15:51

slog up continuing on the cues. Both

15:54

things we were looking at uh in the

15:56

alpha this morning. Not bad. But but

15:58

what I really want to focus on is

16:02

why is it

16:04

that China's the last to make a deal? I

16:08

think China is stubborn because I think

16:10

they honestly benefit from Trump being a

16:13

little bit of a bully. I think China

16:15

benefits from that because it lets them

16:18

go advertise themselves as, you know,

16:20

the stable people in the relationship of

16:23

of world trade. Who knows? Uh, but

16:26

beyond that, there's there's like if

16:27

we're not going to have jobs data,

16:29

which, you know, this morning I'm

16:30

looking it's 5:30 a.m. I'm like, are we

16:31

going to get jobs? Are we going to get

16:32

jobs? Are we going to get No, no, no,

16:34

no. Of course not. So, it's like, all

16:35

right, whatever. So, absent data. I

16:39

mean, we said the S&P uh services uh

16:43

indicators and the ISM services this

16:45

morning. Not bad. Nothing nothing really

16:49

scary uh to report on either of those.

16:52

And when it comes to the PMIs, we've

16:54

actually got most sectors of the economy

16:56

expanding. You know, we brought Jack in

16:58

this morning to read out that six out of

17:00

seven sectors were expanding this

17:02

morning uh per the S&P. And again, the

17:04

ISM, the ISM showing us going into a

17:07

contraction a little bit here with uh

17:09

weakness in business activity and

17:11

continued weakness in employment. It

17:13

still line us up for moderate or weak

17:15

growth. starting to see the impact of

17:18

tariffs. Construction's getting hit. AI

17:20

demand continues to remain strong.

17:22

That's where money is flowing. AI demand

17:25

and financing around AI deals. That's

17:27

where the money is going. No doubt about

17:30

that. Uh and then you know again US

17:33

services over here still you know GDP

17:36

growing at an annualized rate of two and

17:38

a half%. I actually I think I said 2.4%

17:40

earlier. So it's great. And yeah, the

17:42

index is representing a slowdown from

17:44

this peak that we had in July and hiring

17:48

activity is only increasing marginally.

17:50

We're in like molasses in terms of most

17:53

of the economy outside of AI, which

17:55

isn't great that most of the economy is

17:58

in molasses, but it's not falling off a

18:01

cliff. And I think that's where Gouls is

18:03

probably right when he says, "Hey, our

18:06

Fed data is indicating jobs data isn't

18:08

coming off a cliff just yet." Now, the

18:11

ADP numbers were absolute trash. It'd be

18:13

nice to have the jobs data, but based on

18:15

this, I don't know that two cuts are

18:17

still a foregone conclusion until we

18:18

actually get data here, and it explains

18:21

why Treasury markets are as stable as

18:23

they are right now, sitting at about

18:24

4.11 on the 10. Now, yes, you have this

18:28

fear about like the economist pointing

18:30

out, hey, credit markets look

18:31

increasingly dangerous. And this has to

18:32

do with private credit, how the

18:34

potentially masking dangers underneath

18:36

because of financing receivables at like

18:38

thericolor bankruptcy. But I mean,

18:41

broadly, you know, none of this is

18:43

suggestive that private credit or the

18:45

amount of debt in private markets is

18:46

going to lead to some kind of 2008

18:49

recession. I think it's actually more

18:50

likely that you have a labor market

18:52

recession that eventually hits and then

18:54

those sectors will get, you know,

18:56

destroyed. You'll see a lot of pain in

18:59

private credit. It'll really suck, but I

19:03

don't think those are going to be the

19:05

start of the disaster, so to speak. So,

19:08

we'll see. Uh, anyway, uh, then, uh,

19:11

what else do we have here? Delays to UAE

19:14

chip deal frustrate JSON swang. No, we

19:18

want Nvidia to keep going. Uh, so take a

19:21

look at this. This I thought was an

19:22

interesting column that's also worth

19:24

paying attention to when we look at

19:25

economic datam. So you've got Greg over

19:27

here writing on AI piece on behind jobs

19:30

weakness are hints of a productivity

19:33

revival. It's funny. I've actually got a

19:35

whole it's part of the meet Kevin

19:36

membership. I have a whole course on on

19:38

productivity and and people always

19:39

wonder like Kevin how are you so

19:41

productive? You should see the new

19:43

productivity lectures that we have

19:44

queued up that are coming out and

19:45

they're going to be great. Remember when

19:47

you join the Map membership you get

19:49

these extra lectures for free. So you

19:51

get that lifetime access. You get that

19:53

those free extra lectures. So anyway,

19:54

the economy is either booming or on the

19:56

brink of recession. Honestly, you can

19:57

make the case for either. Totally right.

19:59

You really can. This is where I I

20:01

teeter. I'm like sort of in the middle

20:03

here. You know, I'm I'm in the fours on

20:05

the bare bulls scale just because

20:07

valuations are relatively euphoric. That

20:10

doesn't mean I'm not buying. You know,

20:11

I've got my list of top 10 stocks to buy

20:13

for the next 10 years. We're on number

20:15

five, working on number six now. We've

20:16

got near-term trades we're looking at.

20:18

And I've also got a lot of like Nvidia

20:20

stock or whatever that I'm waiting to

20:22

sell, but like I don't really want to

20:24

sell it now because it's like every day

20:25

you wake up almost to make more money.

20:27

Anyway, so what do they say here? There

20:30

are possible explanations. First,

20:31

consumption, investment, and trade data

20:32

that goes into GDP for the past months

20:35

might be wrong and could be revised. So,

20:38

this is something else that I talked

20:39

about this morning is this risk that you

20:42

could see revisions to all this Atlanta

20:45

Fed GDP,

20:47

you know, these readings or the data

20:49

that we're getting. As we get data that

20:51

gets reported down the road, which

20:52

sometimes takes, you know, waiting for

20:54

tax filings and it just it takes 3 to 6

20:56

to 12 months sometimes to get the data.

20:58

You can see GDP get totally revised

21:00

down. So all this enthusiasm that we

21:03

have right now about the Atlanta Fed,

21:05

real GDP or whatever, we have to be

21:07

careful just like we don't want to be

21:08

overly pessimistic as with the numbers

21:11

that we had that were negative for for

21:13

Q1 which we recognized was just a you

21:15

know a trade situation and we were

21:17

justifying and arguing that it's wrong

21:19

like this will be revised back up. You

21:21

know we don't actually have negative -2%

21:23

GDP. Uh even though they made all the

21:26

headlines it's probably way too high

21:28

right now at 3.8%. to the revisions

21:30

that'll come. Anyway, that said,

21:32

Bitcoin's rallying right now, 1233,

21:36

which is awesome. Let's see here.

21:37

Second, the gap is anomalous and will

21:40

probably close through slower GDP, more

21:43

jobs, or both. And this is also true.

21:46

This is what people are hoping for is

21:48

that hopefully we will have a soft

21:52

landing in jobs. Here's a Renaissance

21:55

macro researcher who says consumer

21:57

spending has been driven by a drop in

21:59

savings. And according to credit card

22:01

data has already softened. This is bad

22:04

and it kind of goes with the challenger

22:06

job cuts report that suggests retailers

22:09

are hiring a lot less than they usually

22:12

do, which is seasonably very odd.

22:16

Usually

22:18

they don't uh see a drop in hiring and

22:21

the challenger job cuts report showed

22:22

some of the largest firing in in retail

22:26

uh for the last challenger read for

22:28

September. Third possibility is more

22:30

interesting. A productivity boom might

22:33

be in the works. This is you know

22:34

typically the bull argument that says oh

22:37

well everybody's so much more

22:38

productive. You don't need as many

22:39

people at jobs. I mean I get that. You

22:41

know, we we employ anything any cold

22:44

task.

22:46

This is my sort of quick productivity

22:48

tangent. Any cold task you should use AI

22:51

for. Any warm task you should not use AI

22:53

for in the work. Any warm task would be

22:56

like negotiating with a human or

22:58

providing care for a human or empathy

22:59

for a human. Stay away for for from you

23:02

know the AI for these purposes because

23:04

you're going to get more hallucinations.

23:07

You know, creativity. I I get it for

23:10

like video and picture generation, but

23:11

like business planning and things like

23:13

that, you be careful because of the

23:14

hallucinations. AI is really good at

23:17

patterns and then commenting on

23:19

patterns. So, if it's seen something

23:21

before, it can give you an answer.

23:23

Historical factecking of AI, great. Like

23:26

quick Wikipedia resources, you know,

23:29

doing black and white things over and

23:30

over again. These are cold temperature

23:32

tasks, great. We do this a lot at house

23:34

hack and frankly we we don't need the

23:36

staff that we used to. And I've been

23:39

saying it for a while. Like we could

23:41

consolidate so much and our like spoiler

23:45

alert like our numbers for Q4 and even Q

23:48

coming up on Q1 even not even

23:50

considering our Q1 are going to be

23:52

amazing for for like our I think our our

23:56

P&Ls. That's my you know my opinion so

23:59

far on what what I'm seeing. But part of

24:01

it is because we are also becoming so

24:04

much more efficient in in our processes

24:07

and part of it is you have to give

24:09

credit at least to some part to

24:11

artificial intelligence. And I'm not

24:12

even talking about the fact that we're

24:14

running Blackwell chips for our

24:16

artificial intelligence that we're going

24:17

to release in Q4Q1.

24:19

Uh the beta will be Q4 and then broader

24:21

release, you know, um for uh uh Q1. But

24:26

more just talking about even just

24:27

consumer related products that we could

24:29

use to be more productive with uh

24:31

editing videos or posting videos or

24:34

workflows uh with with business or

24:36

accounting uh reconciling you know into

24:40

it. By the way they are I think like a

24:42

hidden play for artificial intelligence

24:44

because now they're they're offering AI

24:46

to help you figure out why your stupid

24:47

bank account won't reconcile. Anybody

24:49

who's ever reconciled a bank account in

24:51

QuickBooks notice the knows it is the

24:53

worst part of accounting. And you know

24:56

now they'll sell you AI upgrades to do

24:58

it for you to tell you where maybe

25:00

there's an oopsie dupsies. Dude, I've

25:02

spent

25:04

hundreds of hours trying to figure out

25:05

where my stupid reconciliation errors

25:07

are, you know, over over my career. It's

25:09

a pain in the ass. Now AI can help you

25:10

do it in a fraction of the time. It's

25:12

amazing. So uh but do keep in mind GDP

25:15

gets revised many times. Not only do you

25:17

get after your initial release, you get

25:19

two other releases. You could even go in

25:21

the past and revise some some data like

25:23

as much as a year back. Looking at just

25:25

some of your your numbers here. Uh but

25:28

um but yes, you know, consumer spending

25:31

data has really been aligning with the

25:34

decline

25:36

in savings. Eventually, you hit the

25:38

floor. So, you know, an interesting

25:40

piece so far. Increased output with no

25:42

increase in hours means output per hour

25:45

or labor productivity grew at 3.5% at an

25:49

annualized pace which is actually yeah

25:50

that's very good because of the

25:52

divergence between GDP and employment

25:54

and this divergence won't likely be

25:55

sustained neither will productivity

25:57

performance even so including third

25:59

quarter estimate productivity has grown

26:00

2% annualized for two years now that's a

26:03

decent pickup from the 1 to one and a

26:04

half we've had before that's bullish

26:07

that's fantastic as long as you don't

26:08

get layoffs something very likely has to

26:11

do with technology. One candidate is

26:14

generative AI embodied in LLM, GPT.

26:17

Okay. Adoption has been remarkably fast.

26:19

Walmart recently said it would keep

26:21

employment flat for the next few years

26:22

as AI literally transforms every jobs. I

26:25

don't know that it transforms every job.

26:27

I think of it as augments almost every

26:29

job. You know, even in construction, you

26:32

go to Lowe's and you're like, "Oh, man.

26:33

Should I use uh the Santi or should I

26:36

use the Y for, you know, my my, you

26:40

know, sink drain? Oh, you should use a

26:42

sanitary tea." Okay, great. Like little

26:44

things like that. If you're like a newer

26:46

plumber or a newer electrician or or

26:49

whatever, that's fantastic

26:52

because it's just black and white. It's

26:54

easy and just gives you those resources

26:56

right there in your face. It's

26:58

fantastic. Uh so very very excited about

27:01

how AI could even affect the nonAI

27:04

businesses. I mean I was I was uh you

27:07

know with all my fans yesterday uh and

27:11

and I really appreciate uh all of my

27:15

fans, but I was grateful because I

27:18

didn't have to load up all my fans. Uh I

27:21

had full self-loading loading up all my

27:23

fans. This was Jack and I yesterday we

27:27

were negotiating with the uh the manager

27:29

of Lowe's. Shout out to the manager of

27:31

Lowe's over there. But um you know, it

27:34

was amazing because I was using my pro

27:36

membership and like what would have in

27:38

the store been like $2,800.

27:41

My pro membership got to $2,300

27:44

and then I negotiated with the manager

27:46

and they took it down to $2,100. And I'm

27:49

like, let's go. This is all house hack,

27:51

by the way. You know, Jack was loading

27:53

it all up for me. Be careful, by the

27:55

way. If you load the tunnel too much

27:57

over here, it'll get jammed and so ours

28:00

got jammed, so I have to be careful

28:02

about that. But, um, yeah, dude. I mean,

28:06

we got a lot of house hack renovations

28:07

going on right now. It's fun. I love

28:09

this. So, this was us at 10 p.m.

28:10

yesterday. 1000 p.m. yesterday. I I got

28:13

to show you this clip of Jack. Uh, he's

28:16

uh this poor guy. Uh we uh you know we

28:19

were dealing with a fixer upper and I

28:21

think uh we've primed this floor now

28:24

probably like three times or so uh beam

28:27

this over here. But anyway, we've got

28:30

we've got a concrete floor that at some

28:32

point, you know, we've already

28:33

chemically treated and and and um to

28:37

deal with some cat urine issues and it's

28:39

it's like a pain to deal with. But so

28:41

you we we we treat it. They're actually

28:43

technically not more natural products.

28:45

You don't want to use certain chemicals.

28:46

Anyway, long story short, we go treat

28:48

this floor. Uh, and we use some

28:50

expensive primer on it, multiple coats,

28:52

and finally, uh, it's smelling better.

28:55

Uh, it's actually, you can't even tell

28:57

anymore. It's great. I was there at like

28:58

10 p.m. yesterday. I'm like, this is

28:59

fantastic. We've solved the problem. Uh,

29:02

but this is the stuff that we do, you

29:03

know, for Houseack and and I love it. I

29:06

mean, it's my job. I'm the CEO, right?

29:07

So, I'm a little biased, but we think

29:09

we're contributing to the economy, you

29:12

know. Here's this is Jack. I make him

29:14

carry it.

29:16

I got to put him to work. I tell him I

29:18

pay him. So, I put him to work. But

29:20

anyway, this is the floor. It's just

29:22

concrete, right? And he's got his

29:23

flashlight on on his watch. And he

29:25

actually ends up saying like, "Oh, it

29:27

smells better in here." Uh, I actually I

29:29

think you could probably hear him say

29:30

that.

29:31

>> Is this the cat? Can you smell?

29:33

>> Yeah.

29:36

>> It smells better.

29:38

>> Good.

29:39

>> It smells better. I love the guy. Great

29:41

worker. I pay him, you know, but but you

29:44

got to put them to work. So, uh anyway,

29:47

so so that's pretty fun. But anyway, you

29:49

know, going on with this productivity

29:50

thing, uh like I see it like the

29:54

productivity all the time and there's so

29:56

many tools that we could use in

29:57

artificial intelligence is really really

29:59

fun. Uh so really big fans uh of of

30:04

this, you know, as you saw at a truck

30:06

full of fans. Uh but anyway, take a look

30:08

at this. uh one widely widely cited

30:11

report by NANDA uh an AI initiative at

30:14

MIT found that 95% of 52 organizations

30:17

surveyed had zero return on their AI

30:20

investments. This suggests AI has yet to

30:23

make enough impact for the economy's

30:26

aggregate productivity to move. Right?

30:28

So you're seeing it on the individual

30:30

level, but like are you able to like put

30:33

the dollars on it a lot harder?

30:36

You know, this makes sense because a lot

30:40

of these are like Wikipedia rappers

30:42

basically. That's what I call them,

30:43

chatbot rappers. Like, it's very rare

30:45

that you're seeing real artificial

30:47

intelligence products. My opinion, I'm

30:50

biased. Don't sue me, bro. Investments

30:51

can go down in value. There's risk with

30:53

every investment. Full disclaimer, none

30:55

nothing in this video is personalized

30:56

financial advice. But like what we're

30:58

doing with with our house hack AI for

31:01

example is we want to enable agents to

31:04

be able to and and consumers to rank the

31:07

best real estate deals available at any

31:10

market at any given time. So rather than

31:12

you looking at, you know, 100 or 200 new

31:14

listings every day, you just open up the

31:16

house hack AI, you pay us a few hundred

31:18

bucks a month or whatever, and it

31:20

automatically with your branding sends

31:22

to your clients the best deals in a

31:24

market using Kevin's analysis fueled by

31:27

AI. In other words, like I train the AI

31:30

and the AI does this for you

31:31

automatically in your market. Uh, you

31:33

know, we think that is actually

31:35

productive. No more clients calling you

31:38

going, "Yo, why didn't you send me this

31:39

deal?" Right?

31:41

Uh

31:43

that is a form of efficiency. That's

31:45

huge, you know, and and yeah, like we

31:50

don't know. Maybe maybe people won't buy

31:51

it, right? Like maybe people won't be

31:53

interested. I don't know. That's why I

31:55

have to, you know, sort of limit some of

31:56

my optimism, but I look at it and I'm

31:58

like, you know, if if that takes off,

32:02

it's a game changer for revenue for

32:03

House Hack. But uh you know we'll

32:06

probably I mean if it does really well

32:08

we'll we'll end our reggga round which

32:11

is at househack.com.

32:13

uh you could invest you get 5% per year

32:16

through conversion 100% of the upside in

32:18

the stock and really this the valuation

32:20

of the company has it's at the low end

32:22

of its Wall Street valuation because

32:24

we're you know we want to give a good

32:25

deal to our our uh subscribers and fans

32:28

but we think that you know once if

32:30

venture capitalists see the AI that

32:32

we're doing this round's going to close

32:34

like yesterday uh so we're pretty

32:37

excited about this once we release it

32:39

but we don't have any VCs because you

32:40

know it's just so far we've only been

32:43

selling this as just a real estate buy

32:44

and huddle company. Uh, and and the fact

32:46

that we have this AI cooking is really

32:48

exciting, but it also gives me in my

32:49

opinion so much insight into what's

32:51

going on with productivity because I

32:53

don't just use AI as much as possible as

32:56

as a CEO, as a business owner, as a

32:58

YouTuber in real estate. I see it in

33:00

construction. I see it in all these

33:02

different levels. But we're also

33:03

developing, you know, so we see the

33:05

demand for chips and GPUs. This is why I

33:07

haven't sold the millions of dollars I

33:09

have in Nvidia yet. I can't wait to

33:12

because I'm nervous because I think, you

33:14

know, the market's a little frothy, but

33:16

I also see why they have such large PP

33:19

right now.

33:19

>> Big PP.

33:20

>> So, LLMs are building on existing

33:22

investments in e-commerce, software, big

33:24

data, cloud computing, machine learning.

33:25

Recent analysis by Goldman found that

33:27

the pickup in productivity has been

33:28

concentrated in technology. Yeah,

33:30

totally. Uh, in related sectors such as

33:32

research, engineering, and consulting,

33:34

it's also more evident amongst the fast

33:36

growing superstar companies. While it's

33:38

premature to ascribe all of the

33:39

acceleration to AI, uh, industries have

33:43

some of the strongest use cases for AI.

33:45

Well, certainly like logistics, right?

33:47

Oracle. I'm nervous about the Oracle

33:49

debt bubble. I actually love that Amazon

33:51

is financing

33:53

uh less of their expansion.

33:57

Uh,

33:59

whereas Oracle is using a lot of debt.

34:01

You know, I personally don't like using

34:03

a lot of debt. Uh you I I personally I

34:06

for example like I just paid off my

34:08

house because I'm like I I don't want to

34:09

go into a recession if there's you know

34:11

if we go into a debt situation I if we

34:14

go into a recession I'd rather have my

34:15

house paid off and use that as a as a

34:17

piggy bank. I treat house hack the same

34:19

way. Like I put my money where my mouth

34:21

is. House hack is very little debt. It's

34:24

bond debt that's convertible. Uh and you

34:27

know we've got over probably around $64

34:30

million in assets cash and real estate

34:32

that's that has no debt at all. no bank

34:34

debt, nothing. Uh the company overall

34:37

somewhere knocking on the door of 80

34:38

million assets. These are rough

34:40

ballparks off the top of my head. And

34:42

you know, I think that's why we raised

34:44

over a million dollars in August. I

34:46

think we crossed a million dollars in

34:47

September. I think we raised like

34:48

$80,000 yesterday alone is people are

34:50

like, "Ah, here's a low debt company."

34:53

Uh that that is an opportunity to

34:55

diversify from like an Oracle, which is

34:57

just like take on more debt. Take on

34:58

more debt. Take on more debt. It's

34:59

crazy. It's scary to me the amount like

35:02

I I I posted a short on TikTok where I'm

35:04

like realize that the biggest risk is

35:08

assuming you can refinance because

35:11

people think that oh if I just if I just

35:13

go into debt right now it's 6 and a

35:14

half% I could always refinance if

35:16

there's a recession but what happens if

35:17

the lending standards change or the

35:19

banks are nervous to lend or you can't

35:21

get an appraisal you're screwed you

35:22

don't want to get screwed you know

35:24

bubbles can genu genu generate genuine

35:27

productivity benefits true I mean Jeff

35:29

Bezos I guess this morning. He's like,

35:30

"Oh, yeah. AI is a bubble, but it's a b

35:32

bubble that's going to have

35:33

productivity." All right, that's an

35:35

interesting line. Remember the Alamo, by

35:37

the way. It's my Alamo mug today. I'm

35:40

actually also wearing an Alamo sweater.

35:42

Alamo

35:44

sweater and mug today. We're full Alamo

35:46

today. All right, what else here?

35:48

Certainly true of the internet boom.

35:51

First five years of the boom, annual

35:53

internet related investment rose by

35:55

1.25% of GDP. Wow. Yeah, most of GDP

35:59

growth annual productivity average 2.9%

36:02

double the rate of the past two decades.

36:04

That's exciting. That rate per capita

36:06

income doubles in 24 instead of 47

36:10

years. Wow. Ah productivity is a good

36:14

thing. It just helps everyone. Raises

36:16

the standard of living for everyone.

36:18

City estimates that annual spending on

36:19

AI equipment has risen by 0.9% of GDP. A

36:22

bigger surge than the equivalent period

36:24

of the 1995 to 2004 boom. Wow. Even more

36:27

of Oh yeah, look at that. Investment in

36:30

AI overlaid. Yikes.

36:32

Yikes. Yeah, it's a bubble.

36:36

Several academics have estimated AI's

36:38

boost to productivity by measuring how

36:40

many tasks AI could automate and the

36:41

resulting cost savings. City concludes

36:43

from those estimates that AI could raise

36:45

productivity by point 2.5 to 1.5

36:47

percentage points, less than the

36:49

internet, except uh in the most bullish

36:51

scenario. That would boost growth but

36:54

push downward pressure on inflation.

36:55

Yes, that's also true. Shift towards del

36:58

deglobalization will reverse earlier

36:59

disinflation. Yeah, but we we will

37:01

reglobalize. We'll go back to

37:03

globalization. So, yeah, I mean like I I

37:06

do think there are very valid arguments

37:08

around productivity. The the only thing

37:10

we don't want is a normalization of the

37:13

beverage curve. That's the only downside

37:14

to this economy right now. If we could

37:17

verify that we are not going to

37:19

normalize the beverage curve, uh, which

37:22

is, you know, going to be fueled by

37:25

large layoffs where our unemployment

37:27

rate skyrockets to,

37:30

you know, 10%. As long as that doesn't

37:32

happen, we're good. Like there there

37:35

just aren't that many negative

37:36

catalysts. It's just that. And that's

37:39

why it's such a pisser that today we

37:40

don't get the data. Oh, damn. Our uh

37:43

medium-term one of our medium-term

37:45

trades right now is up four and a half%.

37:47

That's on top of the percentage gains

37:48

it's already had over the last couple

37:50

days that we've been talking about one

37:51

of these medium-term trades. Sweet.

37:52

Let's go. Uh Tesla's still down 19 and

37:57

uh Q's are still slogging. Slow

38:00

schlogging away. The slow schlog. Yeah,

38:03

he just not that much bad data

38:06

cuz Trump's hiding it all. Which then

38:08

also makes you wonder like does Trump

38:10

kind of want this shutdown to keep going

38:12

on? Well, partly yeah, because it's

38:15

allowing vote, Russ Vote to to go crazy.

38:21

You know, I wrote down some notes on

38:22

Vote. Vote is the chief author behind

38:27

Project 2025.

38:29

Uh he basically wants to cut everything

38:33

except social security and Medicare

38:36

because those are entitlement programs

38:37

that are huge with the Republican base.

38:40

Like actually any base. Anyone who says

38:42

they're going to cut those programs

38:44

loses elections because those are people

38:47

who actually vote.

38:49

Uh then you've got, you know, I mean, we

38:52

know he's super anti- Department of

38:53

Education, housing. He hates the food

38:56

assistance programs. Uh you've got, you

39:01

know, recently we saw, I mean, yesterday

39:02

we saw the big cuts, $8 billion in the

39:05

green energy programs to blue states. It

39:07

was all blue state governors.

39:10

And we also saw him destroy 90% of the

39:14

Consumer Financial Protection Bureau,

39:16

which is your DoddFrank ability to

39:18

replay

39:19

ability to repay uh agency, which is

39:23

scary because I, in my opinion, I don't

39:25

think we're in a housing bubble because

39:27

we've had such stable housing loans for

39:30

the past, you know, 15 years. Uh

39:33

especially because of DoddFrank ability

39:34

to repay. If you've ever gotten taken

39:36

like a lending test or whatever, you'll

39:38

know about that. But

39:41

this could actually unlock even more

39:43

crazy creative financing to where if we

39:45

don't have uh an employment bubble pop,

39:48

then we end up with crazy, you know,

39:52

arcane loan terms that allow people to

39:54

get into real estate with terms that'll

39:57

be really, really bad in a recession.

39:59

Mind you, I also tweeted, and I totally

40:01

agree with this. I'm agreeing with

40:03

myself here, but I totally think this is

40:04

valid, and I just want to reiterate it

40:06

and highlight it. I think one of the

40:08

best jobs if you were looking for a job

40:10

right now, one of the best things to

40:11

potentially get into is the lending

40:14

industry. Uh so if you could right now

40:17

get a real estate license and then get

40:19

your MLO endorsement, your mortgage loan

40:21

originator endorsement, best combo for

40:24

the next 10 years because if we go into

40:28

a jobs recession, you're going to have a

40:30

lending boom. If we go into a soft

40:33

landing, you'll have a lending boom.

40:36

That's more creative financing probably.

40:38

Uh but you also have a real estate boom

40:40

again. So real estate and lending, you

40:44

know, I think you if you got in now,

40:46

you'd be getting in at the bottom uh uh

40:49

for for that. So very very interested uh

40:52

in that. So we'll see. Uh very very

40:55

exciting. But yeah, otherwise again like

40:58

monkey see no evil monkey hear no evil.

41:00

We got we got good things going on and

41:02

the AI productivity is awesome. I mean,

41:04

if you didn't see it, I posted this

41:06

yesterday. This was a 30se second 32

41:10

second clip, entirely edited by AI, like

41:12

all of it. The music they put over this,

41:15

this icon,

41:18

the the children, uh, well, the children

41:21

aren't AI, but the the angles, it was a

41:23

360 degree camera. It's the Insta 360,

41:26

and it's just I push a button in the

41:29

app. See, Ella's holding the camera. So,

41:30

I'll give the kids the camera. Ella's

41:32

holding the camera.

41:34

And basically like it I I it was like a

41:40

4-minute recording. I press AI record

41:42

and it does the whole 30 second clip.

41:44

I'm like this is great. This is

41:46

fantastic. I could post that on our

41:48

family share because we have like a an

41:51

Apple photos family share where we have

41:54

like path kids and so that way like our

41:57

in-laws or parents or you know friends

42:01

or whatever they could post

42:04

photos of the children in that category.

42:05

So that way it's always consolidated

42:07

there and we could always just look at

42:08

pictures of the kids there and we think

42:09

it's really you know and the kids love

42:11

looking at pictures of the other kids as

42:13

well. They get exceptionally happy. uh

42:16

about that which I I think is like the

42:18

sweetest thing in the world. You know,

42:20

we had uh I had Jack yesterday uh as I

42:22

was getting ready to take him to dinner

42:24

uh before we went to go do our sort of

42:27

midnight fan work. Uh I took him to I

42:31

took him in the car and I showed him

42:32

that video clip and it was so cute

42:34

seeing his face because he loves looking

42:38

at pictures of the kids. And uh I took

42:42

this photo with my Meta glasses. Uh here

42:45

he is. You can see how excited he is

42:47

there. Uh so that's that's really always

42:49

nice to see happy children. Uh and then

42:53

I think after that, oh yeah, we went to

42:55

Wood Ranch and I had I had a ton of

42:58

bread rolls. I have way too many bread

43:00

rolls, man. It's the problem with going

43:03

to Wood Ranch.

43:05

Oh, it's the death of me. But uh yeah,

43:08

let me see here. So, I also looked up

43:09

the NIT Sloan Management Review report

43:12

found only 5% of surveyed organizations

43:14

achieved significant financial benefits

43:16

from AI, meaning 95% achieved little

43:18

return. You're not going to see it for a

43:21

while. You know, it's hard to to like

43:24

quantify this. It's going to take time

43:26

for people to really actually see this

43:28

in my opinion. China concludes AI raises

43:31

productivity. Uh and and so does city.

43:34

Yeah, well, we know that. So, uh anyway,

43:37

very exciting.

43:39

very exciting. Uh so we'll see we'll see

43:41

what happens but otherwise there's

43:44

there's nothing in the data right now

43:46

that suggests bearishness and that's

43:50

probably in part I mean obviously you

43:52

look we called the buy the rumors sell

43:53

the news on Tesla. This this was not a

43:55

surprise but that's also not even

43:57

bearish Tesla. That's just sort of like

43:59

that's called trader momentum. So I know

44:01

people like I saw a bunch of people

44:03

leaving comments like go why is Tesla

44:04

down? I'm like well apparently you

44:05

didn't read the alpha report or you're

44:06

not a member. Uh but that's okay. But uh

44:09

I think that's one of the reasons why

44:11

you're also right now seeing some of

44:12

that nice push in Bitcoin and Ethereum

44:15

which is really taking oh babies are

44:17

back in which is really taking off right

44:19

now. We're going parabolic over here in

44:22

just the last hour and it's awesome but

44:24

it's really in my opinion because well

44:26

probably Michael Sailor's buying but

44:28

there's just a lack of a downside

44:30

catalyst right now. So anyh who, good

44:33

news is you can still use coupon code

44:35

daddy's back at meetke.com.

44:38

>> Why not advertise these things that you

44:40

told us here? I feel like nobody else

44:41

knows about this.

44:42

>> We'll we'll try a little advertising and

44:44

see how it goes.

44:44

>> Congratulations, man. You have done so

44:46

much. People love you. People look up to

44:47

you.

44:48

>> Kevin Praath there, financial analyst

44:50

and YouTuber. Meet Kevin. Always great

44:52

to get your take.

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