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July 8, 2026 39 mins
JLR is being fed AI videos of celebrities eating. Duji hates that Drake London had Taco Bell in his engagement photos. New furniture around the radio station. Snitzer believes in God. 

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Speaker 1 (00:01):
Your girlfriend listens to true crime podcasts, so feel something.

Speaker 2 (00:05):
This was the last stage she would ever make.

Speaker 3 (00:09):
You listen to us to feel nothing nothing. Welcome back
to rovers learning Glory.

Speaker 2 (00:23):
Shus. He is coming up in just a moment. What
do you have on the way.

Speaker 4 (00:28):
Dougi, a Tennessee railway conductor, was fired over his viral
Independence State message. So I will give you that story
and what the message was and why that's why he
got fired.

Speaker 2 (00:42):
See if you.

Speaker 5 (00:42):
Agree with it or not.

Speaker 6 (00:44):
We'll get to that in just a minute.

Speaker 2 (00:52):
Here's somebody that says, where did it go?

Speaker 7 (00:57):
Oh?

Speaker 6 (00:57):
He said that he googled it. He claims, WAYMO, isn't
watching you all the time? That AI is somehow monitoring
And only then do they start watching the camera feed
in the.

Speaker 2 (01:10):
Back of the car.

Speaker 5 (01:11):
Oh, so here's like trigger.

Speaker 6 (01:13):
That's what he That's what he says in Mike and Allentown, Pennsylvania, says,
I work for a large retailer. I installed security cameras
for them. The camera company we use, there's nobody visually
watching the footage all the time. It runs through an
AI database and AI discerns the footage and then can
automatically notify police ems and fire. So the camera can

(01:33):
detect a fire, a customer having a heart attack, active robbery,
and it can take action without any human intervention. Wow,
I'm sure that works flawlessly, like most Ai Morgan says,
you were talking about Orby's. A car full of teenagers
shot Orby's out of a car window at other teams
and Akron, one of the kids in the car, was

(01:55):
then beaten and killed. It happened a couple of years ago.
I do remember that case. I don't remember all the details.
I remember it was as a kid. I don't know
how old he was, like seventeen or something, and he
shot I think some other people were playing basketball and
he shot him with these or east water pellet things.
And then they I think they dragged him out of

(02:18):
the car, and I don't remember all the details. Didn't
they take them out of the car and beat them
to death or something? I don't remember. And then it
turned into the whole big thing because I think the
kid who was killed was white, and I think that
the kids who beat him were black. And then it

(02:38):
went I remember, I don't remember all the details. Whatever
happened with that, I don't remember. For some reason, I
think they decided not to charge that. I actually I
don't know. I don't remember. You remember that case?

Speaker 2 (02:51):
Was that it in a basketball court? Yeah? I do
for that.

Speaker 6 (02:55):
Yeah, I just don't remember. I don't remember what happened
to the kids who actually did it. I think they
weren't Actually I think they got off or I don't
know if they were charged. I don't remember. I just
remember there's a big controversy about that what should have happened.

(03:16):
So I guess I'd have to refresh my memory on
exactly everything that went down.

Speaker 2 (03:20):
Dougie, are you ready for the news? Yeah?

Speaker 4 (03:25):
Here we go, kandah dizzy on rollers morning glory. I
might as well start with this AI story. It looks
like your next job title might include AI. The odds
are rising when the number of job titles that involve
AI has gotten bigger and bigger. Even outside of the
tech world those titles, it's surgeent according to new data

(03:50):
from the job Board. Indeed, they find that the number
of jobs that have listings with AI and the title
has tripled from twenty twenty two to twenty twenty six.

Speaker 5 (04:00):
They say one in twelve jobs on the site have
AI in the tank.

Speaker 6 (04:04):
Good I'm glad some people are getting hired because what
they're doing on the flip side of that coin is
that everybody is getting laid off due to AI. All
these companies that are laying people off, they are thinking
they're going to be more efficient with AI.

Speaker 2 (04:20):
I don't know.

Speaker 6 (04:20):
I just saw a guy yesterday, he was on TV
and he was he was basically saying, AI, it's not
gonna work. The whole thing is a scam. It's not
gonna work.

Speaker 2 (04:31):
Now. I don't know if that guy. Look.

Speaker 6 (04:32):
AI certainly is very good at some things, but he's like,
do you know the amount of hallucinations that these things
have and how much how expensive it is to do it?
And he's not a believer in the AI revolution? Are
you guys?

Speaker 8 (04:49):
Do you think that it's I think, like I said before,
that it's going to be too expensive to actually use
as everybody thinks we're going to be using it. But
I think people are still going to lose their job
because a lot of people are going to and I've
seen you've seen.

Speaker 2 (05:03):
Stories about it.

Speaker 8 (05:04):
They fire everybody, we're gonna use AI, and then they
I don't know really what a token is, but they
burn through all their token token and then like a
month and they're like, wait, we're supposed to be saving money.

Speaker 2 (05:15):
This is now more expensive.

Speaker 8 (05:16):
We got to hire all these people back to actually
do this manually because whatever whatever the jobs are, and
I think I still don't think we're getting the real
price of what AI is.

Speaker 2 (05:26):
Right now.

Speaker 6 (05:28):
They're dumping trillions of dollars in to make all these
AI data centers, but it's gonna.

Speaker 8 (05:33):
Be expensive to maintain those and people somebody has to
pay for it eventually, and it's gonna be the users
to pay for it. And I think AI is I
mean a lot of people are gonna lose their job,
but I think people will end up coming back eventually
once once we get the real price of AI.

Speaker 6 (05:49):
But some sort of like menial tasks that are just
like sorting things forms, that kind of stuff that can
all be done by AI pretty accurately, I think sure
those jobs aren't going to be coming back.

Speaker 1 (06:03):
And speaking of the yeah, that's kind of infected my
Instagram feed because now I'm getting these like video, these
these reels of like like say like Ava Gardner and
John Lennon, Freddie Murcury and like what possibly they would
eat you know, like.

Speaker 2 (06:16):
What is Freddy Mercury. I'm just I'm just starting getting
exactly idea. I know what what in the video look like?
That's a hot bog big big sausages.

Speaker 1 (06:31):
This is probably one of the reasons why I tried
and talked so much, because he turned. Yeah, it's an
example like like cavy are and some kind of cracker
or something or on the menu. That's all I got
to say about that. All right, we'll talk to you in
two hours ago.

Speaker 2 (06:49):
You might leave.

Speaker 5 (06:50):
It's less than two hours.

Speaker 2 (06:51):
You're not going to say anything.

Speaker 1 (06:53):
It's because you guys turned the whole conversation just to
be funny. I'm trying to be funny too, but you
guys take it to do you take the penis and tests.
There's a lot more things to be funny about the
trust me now there.

Speaker 6 (07:10):
I don't really use social media much, but uh, what
did I see the other day?

Speaker 2 (07:18):
AI?

Speaker 6 (07:19):
Everything is just AI. It's all fake. A lot of
the video. It's like there was one thing and I'm
not even into tattoos, but there was some like fake
AI thing where it was like an armband and it
has like all it looks like electronics, and then that
you just swipe it down your arm and it gives
you like an instant tattoo, and obviously an AI generated video,

(07:40):
like what.

Speaker 2 (07:40):
Are what are?

Speaker 6 (07:43):
And even like some of these things like they're full
on commercials, but they're AI generated commercials, and they're always
like like I saw one that was supposed to be
like some sort of lighter or something, some sort of
plasma lighter. I can, you know, the apocalypse, I can,
I can light what or fire I need. But it's
obviously like completely AI generated. I'm sure the product is

(08:04):
complete junk. It's out of hand. It really is getting crazy.

Speaker 8 (08:08):
Here's what Jeffrey's watching, by the way, I found it
all right, which is Freddy Mercury eating cheese on toast.

Speaker 1 (08:18):
You know these are like foods, like what would Freddy
Mercury eat?

Speaker 3 (08:24):
How is?

Speaker 2 (08:25):
Why? Why this? And why why is somebody making this?
That's the problem.

Speaker 9 (08:32):
You do click at once or view it for just
a little bit, and then it populates because you're crazy.

Speaker 2 (08:37):
You watch, You're like, this is the dumbest thing. Why
would somebody make this? And then now you're Eddie Mercury
eating scrambled.

Speaker 6 (08:43):
Eggs and Jeffrey watches the whole thing.

Speaker 2 (08:48):
Did you watch this whole video? You know, this is
the first time I see it.

Speaker 1 (08:51):
I'm teamed like with other people, like with other you know,
like people like Ava Gardner, John we mentioned Freddy Mercury
and here it is. Well, it's the first time that
came into my head. But AnyWho, uh, how did you?

Speaker 5 (09:04):
How did you not you did watch that? You just
pulled that out of your head. Yeah, there's no way.

Speaker 8 (09:08):
Oh, there's a whole looks like there's an entire so
Jeffrey's right, So there's a whole account.

Speaker 2 (09:14):
Look at this. It's just yeah, it's a whole You
pick somebody who do you want to see you guys
like say like Lucille Ball or about the rock? Where's
the rock? I don't see you? No, I'm just right.

Speaker 6 (09:25):
Yeah, that's what he eats, steak and cream of rice.
Who would watch this? And is somebody prompting this themselves?

Speaker 8 (09:37):
Compter running itself generated?

Speaker 2 (09:41):
It's like it's like it might be randomly.

Speaker 6 (09:44):
Like somebody might have prompted AI to say, hey, make
of celebrities and just have them eat all sorts of
different kinds of food, because is this.

Speaker 2 (09:53):
What they actually eat?

Speaker 9 (09:54):
Is it based off of something he said like, this
is how many calories I have?

Speaker 2 (09:58):
This is what I like because.

Speaker 8 (10:00):
The rock does post is eating, Like when he goes,
he's like, I'm gonna go nuts, I'm gonna eat today,
and he'll be like hot pancakes.

Speaker 2 (10:06):
Okay, how would you know?

Speaker 6 (10:07):
I always go to see old ball who was another one,
and look how big that cookie is?

Speaker 2 (10:11):
From a biography. Maybe she just wrote, yeah, a.

Speaker 1 (10:14):
Lot of stuff is fucked from her memoirs or people
letting newer best and newer dietary habits.

Speaker 2 (10:20):
So I bet a person's not even doing this.

Speaker 6 (10:22):
It's all running uploading toll by itself, absolutely, and the
comments are probably all AI too.

Speaker 2 (10:29):
There's just all how many views? Are you able to tell?
How many views? Something like the six thousand views, four
hundred fourteen? Oh what did I say? Oh like sorry
I was, Oh, you're right, four hundred and.

Speaker 6 (10:42):
Fifteen thousand thousand people liked it with six thousand people
in air quotes. Again, this is how these bot networks stay.
Just like all of the political stuff as oftentimes bots
and it will comment on its own stuff.

Speaker 5 (11:00):
There was one that was two point two million.

Speaker 8 (11:02):
Let's see two point four This one no there's Princess Die.

Speaker 2 (11:10):
Yeah, this isname and one of the dumb things that
are out there. There's millions of dumb things.

Speaker 6 (11:17):
Like maybe I could have celebrities sitting on a toilet
taking it dumb.

Speaker 2 (11:21):
I bet that's interesting because I'm not a celebrity. I'm
just nobody mentioned.

Speaker 6 (11:29):
Do you want to say, guy and you asking Freddy
Mercury take a crap.

Speaker 8 (11:32):
No, I'm not interested in Betty. Here's Betty Waite taking
down a Wiener. Oh look at that?

Speaker 2 (11:38):
Like that she goes for the center. Okay, what my Instagram?
By watching these now anymore?

Speaker 6 (11:48):
But I will tell you AI video is like, it's
pretty damn good, isn't.

Speaker 5 (11:54):
I'm obsessed with the dancing cats. Still still can't get.

Speaker 6 (11:58):
Now, like a one day thing, the damn cats. But
you're on this six months later. You can't stop that
on trampolines.

Speaker 4 (12:05):
I've often thought, should I create AI cat stuff like licoric?

Speaker 5 (12:10):
Now I'm not going to, but all right, I'm obsessed
with it.

Speaker 2 (12:14):
Go on. Dug.

Speaker 4 (12:15):
A federal judge is blocking a grand jury subpoena for
information about twenty twenty election workers in Georgia. The subpoena
came after the FBI served a search warrant at the
Fulton County Election Hub and sees hundreds of boxes of
ballots and other.

Speaker 5 (12:29):
Documents from the twenty twenty election.

Speaker 4 (12:31):
Fulton County asked a judge to drop the subpoena, arguing
it was meant to target, harass, and punish the president's
perceived political opponents, while the Department of Justice said the
move was the next step in the normal investigative process.

Speaker 2 (12:44):
Vanessa del Rio on a toilet, you interested.

Speaker 5 (12:46):
In saying that I would like to see that.

Speaker 1 (12:51):
I don't know if that's something I would want to
observe somebody on a toilet?

Speaker 2 (12:55):
Think you except me?

Speaker 5 (12:56):
Thank you very much.

Speaker 6 (12:57):
You want to watch yourself on a toilet just out
of a mirror?

Speaker 2 (13:01):
There you go, And you don't need AI for that.
Trust me. I was just so invaded our lives. It
ain't funny go on.

Speaker 4 (13:08):
A conductor at Tennessee's famed Incline Railway was fired for
his viral Independence Day speech to turists who were left
disgusted by the controversial message.

Speaker 2 (13:20):
Yes, here's Jack Peterson. Is his name? There's a video,
a nineteen second video of it. What is it?

Speaker 7 (13:28):
You're very very few Americans in here? You welcome greatest
country on the face. Did you disagree you.

Speaker 2 (13:41):
Can't lead you hmm.

Speaker 5 (13:49):
An, I guess, yeah, he got fired.

Speaker 6 (13:53):
Were there very few Americans on the train actually? Or
I don't know what that meant there?

Speaker 4 (13:59):
It doesn't matter if there was one American or or
it doesn't matter.

Speaker 6 (14:03):
You don't say that, You don't say what. You can
leave if you don't, like. I don't know if that's
a firable I don't think that's a firable offense. I
think that's all like, hey, Tim, what are you doing
yet here?

Speaker 3 (14:16):
Though?

Speaker 2 (14:17):
What's going on? And why are paying customers?

Speaker 8 (14:19):
Why are you yelling at them because they're How do
you even know if they're American or not?

Speaker 6 (14:23):
By the way, it is a tourist thing, so there
might be a lot of non Americans at like that's.

Speaker 2 (14:28):
What he's trying to do. Mad very few Americans? Yes,
I don't Americans here.

Speaker 4 (14:33):
Yeah, he has apologized, so we want to apologize directly
the passengers who experience this.

Speaker 2 (14:41):
But anyway, he got fired.

Speaker 5 (14:43):
All right, what else do we have?

Speaker 2 (14:46):
Oh?

Speaker 4 (14:47):
Gilaine Maxwell, she apparently is causing some problems. She caused
a lockdown at the prison where she's housed because of
a missing sweater. There are reports that she alerted prison
staff after a zip up fleece she purchased from the
commissary went missing, and sources say her prison id badge
and important paperwork were inside the sweater's pockets and that's

(15:08):
why the gail was locked down. It turns out that
no one stole that item from Maxwell, and the source
says that this lady picked it up to give it
back to her. It was all an innocent mistake, but
they still kept everyone locked down for four or five
hours for their investigation. And finally, today is National Video
Game Day and there is a ranking from a website,

(15:32):
Collider dot com. They put together a ranking of the
greatest video games of all time.

Speaker 5 (15:38):
I'm going to give you the top five.

Speaker 4 (15:41):
Okay, fifth place, the Legend of Zelda, Breath of the
Wild Breath.

Speaker 2 (15:48):
It's one of the last Okay, second to last one. Okay,
that was pretty good. I think it might be the
greatest game ever made.

Speaker 4 (15:55):
Okay, in fourth place, Balder's Gate three.

Speaker 8 (15:59):
Everybody talked about that. Haven't played that. That's a it
seems a little too nerdy for me.

Speaker 5 (16:03):
Okay. That's from twenty twenty three.

Speaker 4 (16:05):
Third place is Super Mario Brothers from nineteen eighty five.

Speaker 2 (16:09):
Yeah, that's great.

Speaker 5 (16:10):
Second place, Minecraft twenty.

Speaker 2 (16:14):
So much full, that's kids like we think. I love Minecraft.
I think that's the best selling game of all time too.

Speaker 4 (16:20):
The number one game is The Legend of Zelda Ocarina
of Time.

Speaker 5 (16:26):
Yeah, it's from ninety.

Speaker 2 (16:28):
Eight sixty four to one. They're about to do a
remaster of that one.

Speaker 5 (16:33):
Okay, Yeah, there you go.

Speaker 2 (16:35):
That's the shizzy.

Speaker 5 (16:36):
On Rovers Morning Glory.

Speaker 6 (16:38):
John says that guy can say whatever the f he wants,
freedom of speech. Yeah, but where at work you're work,
there's a difference. Nobody's arresting him for that. The company
that he works for just says we don't want you
working here anymore. That's allowed. I don't know where people

(16:59):
get this, like those weird ideas from, but I still
I don't think I would. I probably wouldn't fire that guy,
and maybe they wanted to fire them for other stuff.
Sounds like maybe there were some other things going.

Speaker 2 (17:10):
On with that dude. But you just give the guy
a warning or.

Speaker 6 (17:13):
Something and say, hey, knock it off, knock it off,
knock it off. So your your daughter, you said she's babysitting.
She's making some money doing that. You said, she's she
got a job interview lined up.

Speaker 4 (17:31):
An email, well, an email saying we'd like to talk
to you further about some opportunities.

Speaker 5 (17:37):
So she's super excited. She was screaming big bucks for this.
I have no idea. We haven't. We got to get
to that point. She's got to talk to them and
do an interview.

Speaker 6 (17:47):
How does she do a job when she's going to
school and dance and all this kind of stuff.

Speaker 4 (17:50):
Apparently her she's got two friends that work there. They
are very good with working with schedules, so she might
only be able to work.

Speaker 5 (18:02):
One day a week or whatever, but it's gonna try.

Speaker 2 (18:08):
Somebody sent me a picture. I don't know if it's
AI generated or if it's real. Might be Crystal sitting
on a toilet. I'm not possible. I don't know.

Speaker 9 (18:16):
I did clog the toilet, but it looks like they're
covering their face.

Speaker 6 (18:22):
I don't know what's going on. I pictures are weird
these days, Like, are you guys fooled by AI? I mean,
we get fooled by AI? Everybody does, but yes, I
do every day. Some of the stuff, you know, like Okay,
that's ridiculous, but other stuff like damn, it's like really convincing.

Speaker 8 (18:38):
We had somebody I don't think they texted in the
aftermath or they called, and they're like that picture of
Rovert walking the marathon, that thumbnail that's not him.

Speaker 2 (18:48):
Oh yeah, that is me. That's my fast body. Come on,
I don't think you were trying to fool anybody. Oh
that's me, man.

Speaker 6 (18:57):
I just you know, I've been hitting the gym a
little bit of I haven't talked to much.

Speaker 2 (19:00):
I don't like the brags. I don't I don't really
bring it up.

Speaker 6 (19:02):
Here's that image, I think, yeah right there, Yeah, yeah, no,
AI did make that.

Speaker 2 (19:09):
It's weird.

Speaker 6 (19:10):
So actually a fan made that kind I made it,
and then the fan didn't like that it wasn't my
head on.

Speaker 8 (19:17):
The snitcher noticed. He said, you switched the thumbnail out.

Speaker 6 (19:22):
I did because a guy goes here, put your head
on there, and he did the work. I go, okay,
I just prompted chat gpt to make a thumbnail for me,
and I don't know exactly how it did it. If
you look at the original one, I think chat gpt
like it knows a lot about you. Like you'll ask
chat gpt something and it will bring up something from

(19:43):
six months ago and it will be like, since you
also own a blank yeah, you know, and it knows
all this, and I've.

Speaker 2 (19:51):
Uploaded stuff like pictures.

Speaker 6 (19:53):
So I think chat gpt made that original thumbnail and
it looked kind of like me, but not really like me,
look similar, like facial hair and all that black hat,
like it knew I'm gonna make this thumbnail to kind
of look like this dude, not exactly like them, And
I'm like, good enough, I'm not gonna I'm not I'm
not gonna spend any time on this.

Speaker 8 (20:14):
But apparently it really ano way to a guy. You
can do these things that are kind of neat. I mean,
it's just for yourself, but like, I don't know, I
think you can say, like generate a character sheet of
me and generate an image of everything you know about me,
and then it'll just be like you'll PLoP this thing out.

Speaker 2 (20:30):
You're like, I've been telling this thing way too much.

Speaker 6 (20:32):
Yeah, Like what if there's like a giant butt plug
or something, You're like, whoa hold on, what do you
know about me?

Speaker 4 (20:37):
So my computer at home, I just used it yesterday too.
We were looking up a college information and it did
just that.

Speaker 5 (20:45):
It said, well, from what you.

Speaker 4 (20:47):
You know, I know about your daughter she's and it
listed all these things. Oh boy, this might be a
better fit for her. And looking at this college versus that.

Speaker 6 (20:57):
College, Clow School is better for her knowing you and
your daughter. Yeah, all right, I've got to take a break.
Eighty sixty six year Rover will be right back.

Speaker 2 (21:08):
Hang on. We're more like.

Speaker 1 (21:09):
Color by numbers and we're way outside the line.

Speaker 2 (21:14):
He's a bad artist.

Speaker 3 (21:16):
Rovers morning Glory.

Speaker 6 (21:34):
I saw that a guy who plays for the Falcons,
Drake London.

Speaker 2 (21:39):
He's a wide receiver.

Speaker 6 (21:41):
He just signed a four year, one hundred and forty
one million dollar contract extension, making him one of, if
not the highest paid receiver. Mabe, I think one of
not the highest. Anyways, there's a lot of money anyway
you slice it. Okay, So what does he promptly do
after that? He gets engaged, engaged to his girlfriend who

(22:06):
he's been dating for three years.

Speaker 5 (22:10):
That's sweet.

Speaker 6 (22:10):
You better be pretty goddamn sure that's the woman for you.
After you sign that one hundred and forty one million
dollar contract, you better be real positive that that's the
woman you want to spend.

Speaker 2 (22:23):
The rest of your life with.

Speaker 8 (22:24):
Are there rules with like money that you have before
you get into the marriage.

Speaker 4 (22:30):
Well, if there's a prenup, he keeps all that. But
whatever they make while they're together, that's what they.

Speaker 8 (22:35):
Split, even without the prenups, Isn't it correct? I mean,
obviously he's not gon get one hundred and forty one
million dollar single day.

Speaker 6 (22:41):
Page today, right, But if he's maybe if he signs
this contract, maybe he goes, well, I already had that
money before I got rided. She can't touch it, even
though it was paid later. I doubt it she'd end
up getting up. But I mean, get it, that's a.

Speaker 4 (22:56):
So you wouldn't get engaged if you signed that I.

Speaker 6 (23:00):
Had one hundred and forty one million dollar contract. I
don't know why would you?

Speaker 10 (23:04):
What?

Speaker 5 (23:05):
Because he she's been with him through that.

Speaker 8 (23:07):
I might just play football and screw every chicken. Even
if you don't do that, just go, hey, you get
to live in luxury.

Speaker 5 (23:14):
That's beautiful.

Speaker 2 (23:14):
Look at this.

Speaker 6 (23:15):
They got engaged, I guess like somewhere in Malibu, California,
and they had like, oh, it's sort of a little
bit weird. It looks like a giant candy cane that
they wrapped with flowers. And then they're like, oh, well,
this is a Christmas candy cane, but we'll repurpose it
for this engagement photo. You'll hang a chandelier out of
the end of this thing. And then they're all sitting

(23:38):
at a table eating and there's the ring. That's a
big diamond ring. I'm sure it's cheap. I don't like
these nails.

Speaker 2 (23:46):
That chicks too.

Speaker 4 (23:46):
Now. I hate the nails. And what's going on with
the going on with the taco What the hell is
this engagement?

Speaker 2 (23:54):
Taco Bell?

Speaker 6 (23:55):
Yum, she says, I love Taco Bell. That's an engagement. Yeah,
engaged for not just as well grind it's mastered Bell.

Speaker 5 (24:03):
Wait a minute, go back.

Speaker 4 (24:04):
To the other This is the dumbest Go back to
the other picture.

Speaker 5 (24:07):
That's what's on the table there, Taco Bell.

Speaker 2 (24:10):
Hot sauce, back the hot fire.

Speaker 8 (24:12):
Yeah, they love Taco Bell. So this is a commercial
for Taco Bell.

Speaker 6 (24:16):
It could be No, I think I think that she well,
she's probably trying to get something out of taco Look
at these images.

Speaker 8 (24:24):
No, no, look at look at these images. Yeah, okay,
we're just going to continue. Okay, we're starting at the beginning. Engage, engage, engage,
and then engage.

Speaker 2 (24:35):
We'll go one more. Oh, here we are enjoying our tacos.

Speaker 4 (24:38):
Dude, this is trash.

Speaker 6 (24:41):
She think it may be Taco Bell paid for the absolutely,
for the for the engagement ring or something.

Speaker 8 (24:47):
Absolutely somehow Taco Bells, they're not doing this.

Speaker 2 (24:51):
She like them in there. Yeah, it's a commercial.

Speaker 4 (24:55):
This is one of the biggest days of your life,
and you're going to trash it down with putting a
taco below one hundred.

Speaker 2 (25:02):
Would do that a million times, you would know you would.

Speaker 8 (25:09):
If somebody said I will pay for you to do anything,
any random thing in your life and in some random company,
you'd go, oh, we couldn't.

Speaker 2 (25:16):
You could do those together.

Speaker 10 (25:18):
No.

Speaker 4 (25:18):
I get offers to do things and I say no,
what I don't know, be a sponsor for something?

Speaker 2 (25:24):
You said to Ever, She's almost like, give me an endorsement.

Speaker 3 (25:27):
I want more.

Speaker 5 (25:28):
I don't have any door.

Speaker 2 (25:29):
If a company you.

Speaker 8 (25:30):
Paid enough, you would have like named your kid assurance
or something. Yes, you would have. Absolutely you would have
sponsored your birth. I don't know there's one hundred percent.
Would yes, you are the talk slot. No, I'm not
the original talk slot. That's that's why I never heard that.

Speaker 4 (25:47):
I think personally, when you get engaged, this is a
special moment. You don't trash it down with a dorito
tackle behind.

Speaker 5 (25:55):
What if they met at taco But it doesn't matter.
That's not that's not.

Speaker 2 (25:59):
It doesn't make it any life delicious.

Speaker 6 (26:00):
Yeah, when I came home from the airport, I very
rarely eat it, but it's right by the air on
my way home from the.

Speaker 2 (26:09):
Airport, I picked it up. And good stuff. It's great stuff.

Speaker 5 (26:13):
It's fantastic. But you just don't do a taco bell
photo shoot.

Speaker 2 (26:16):
What's an incharedo? Oh my god, it's when my father
in law ordered an churida.

Speaker 1 (26:20):
Doesn't incuredo is basically what it is is they put
in an oval shape hole, it's wrapped in. It's wrapped
in a tortilla, ground meat, beans and cheese wrapped. You know, well,
it's ground meat and cheese, no ground meating beans, wrapping
a tortiito. You put red sauce over it, you put
cheese over and then he died it with three black olives.
I can make it a little. It's just a it's
a burrito covering enchilada sauce. Okay, well, he's like, oh

(26:42):
these are back on the menu.

Speaker 2 (26:43):
Oh yeah, they were gone for a lot.

Speaker 1 (26:44):
That was a classic that was on the menu when
I worked at I worked at Taco Bell from eighty
eight to ninety two, and that was a classic menu item.
And so is the taco The Taco Bell Grande and
a tacolt where my other two favorite classic menus.

Speaker 2 (26:57):
I'd like to see Taco Bell bring the back look
kind of.

Speaker 6 (26:59):
It looked pretty good anyways, But she's probably working to
Taco about when she meant this guy isn't that crazy
one hundred and forty one million dollar contract? He gets
engaged Charlie though steadfastly refusing to get engaged. No way,
you're gonna get that payday, not one hundred and forty
one million. When I get that pay day, it's on Yep,

(27:20):
my heart's going to open up the check book and yep,
all those people they laid off, they've been saving up
that money to pay it to chocolate.

Speaker 2 (27:28):
Charlie.

Speaker 4 (27:28):
I think in furniture and new furniture, it's not new
furniture new furniture. There's new furniture in the front. In
the front of that furniture, it's new furniture. No, it's
it's wait, wait, Charlie, what are you talking about. There's
these cubes everywhere. First City, it's furniture from the Duncan
lounge that we no longer have the Dunkin lounge. So

(27:50):
they took everything out of the lounge up in the
building and they put it all in our space.

Speaker 2 (27:56):
What do you mean they no longer have the lounge.

Speaker 5 (27:58):
We no longer have the Dunkin lounge.

Speaker 2 (28:00):
Yeah, that was a while ago, right.

Speaker 4 (28:01):
It's everything had rout. They were using it for some things.
No longer hours, no longer access to it. So everything
had to be removed.

Speaker 2 (28:09):
And plenty of space in here because now there's less people. Correct,
That's why.

Speaker 4 (28:14):
When you go into Keith Kennedy's office, he's the whole
thing is stacked with toilet paper that was in the
bathroom over there.

Speaker 2 (28:21):
Wait, so we had the what they just got done
finishing a lot like a year ago. They spent that money.

Speaker 5 (28:29):
There's no longer Duncan is no longer sponsoring. It hasn't been.

Speaker 2 (28:34):
One meeting there. It's gone.

Speaker 5 (28:37):
So that's why everything's here.

Speaker 2 (28:38):
Whose bride idea was it to do that? Then? I
don't know.

Speaker 6 (28:41):
Okay, all right, so we don't have that space any longer.
So I guess they don't want to lease that. They
had to lease that out obviously, all right. Anyway, So
I think Dougie is just me. I think Dougie is
just jealous that somebody got engaged. That's why you're That's
why you're bad.

Speaker 5 (29:00):
I'm not a fan of her nails. I don't like those.

Speaker 2 (29:03):
I don't like those nails either. Do you do you
like those, Charlie? Let me see him again? Pointy nails?
I like them.

Speaker 8 (29:09):
My girlfriends, you like that? Every girl hands head now
it's I don't know. I don't care about nails at all.
My girlfriend goes, like every two weeks or three weeks
or so, goes I don't know how often, but I.

Speaker 2 (29:22):
Go every month. I'm not a fan of that. What
can you get done? I just I have gel polished
to do a gel.

Speaker 4 (29:30):
Those are my nails, They're just gel, normal shape, They're
not pointing.

Speaker 2 (29:33):
Those are your real nails there, my nails. These are
probably real too, are not? Those are not real? Absolutely not?
Those are not point They like that I can't.

Speaker 9 (29:43):
Some my mom grows her nails out very long like that,
but most women are getting that almond shape, point ish nail.
Now my girlfriend's real nails, but they might put in
acrylic over top of her real nail.

Speaker 2 (29:58):
I don't have no idea. Works.

Speaker 8 (30:00):
I believe because she was doing the fake ones and
then she started getting the real.

Speaker 2 (30:04):
Swear, the real her nails. Do you have a picture
of how long I nail? Picture? Yeah, I don't know.
I'm trying to think. I was.

Speaker 8 (30:12):
I was actually thinking. I was like, do I like
no that, I don't know. I'm trying to really think,
like would I why would you take a picture of her?

Speaker 2 (30:22):
Nature?

Speaker 6 (30:22):
She post pictures, remember pictures of her nails, but I
doubt that her they're her real nail. Maybe they are.
I don't know that, chick. I don't think those are
her real nails really long. Here's the picture I thought. Now,
let me go back to what Igor had to say.
Igor sent me a text message and he sent me
this picture. I can't find it, but I have to

(30:46):
remember what he said. The toilet, Yeah, the toilet, So
I go, oh, is he sending me a picture of
Crystal on a toilet?

Speaker 2 (30:54):
Did she post this or what is this? Let me see?
Did I send this to you? Snets?

Speaker 6 (30:58):
Yeah, this person's pretty tough. So and then he goes, no, no,
that's not Crystal. That's that's my ex girlfriend. I had
this picture. I took this picture, printed it out on
like canvas for artwork, and then hung it in her bathroom.

Speaker 2 (31:14):
Whatever that means. It's a cool picture.

Speaker 8 (31:16):
Is that it's a chick in a skirt sitting on
the toilet covering her face. Though for some reason, I'm
not sure, I thought it was Crystal for a minute.

Speaker 6 (31:25):
I don't know why. But too tall to be Crystal,
really tall. Look at a torso where the bathroom is tiny?
Ye Wait a second, if this person stands up, they
would hit They're going to hit their head on the ceiling.
What's going on? This is not This is not AI generated.

(31:46):
That is a little bit strange. I'm not sure what's
going on like that. But all right, so that's not
Crystal take taking a dump on the toilet. I thought
maybe she had posted that. But anyways, what the hell
what were we talking about?

Speaker 2 (32:00):
I don't even remember. Oh this Drake London guy.

Speaker 6 (32:03):
So one hundred and forty one million dollar engagement or
contract extension. Then he gets engaged. That's one hundred million
dollars guaranteed. Is this the luckiest behind the ten million?

Speaker 4 (32:14):
Seriously? I mean, uh guaranteed? So then that's forty three
million for the four years.

Speaker 2 (32:20):
What is her name?

Speaker 6 (32:21):
What does she look like? Let me see Sophia Rose Gabee.

Speaker 2 (32:26):
Do you have any pictures of her?

Speaker 3 (32:28):
Like?

Speaker 2 (32:28):
What is she?

Speaker 6 (32:28):
Just? Like?

Speaker 2 (32:29):
Normal pictures of her? Let's see.

Speaker 6 (32:34):
I'm on the gram. Yeah, I for what Sophia Rose
for your No?

Speaker 2 (32:39):
No for her? Oh for her? Okay, let's see here. Wow,
she's not bad looking, it's beautiful.

Speaker 6 (32:48):
She's now one hundred million dollars racer Jesus Christ?

Speaker 2 (32:54):
Could you imagine that?

Speaker 5 (32:55):
What's that?

Speaker 4 (32:56):
Miami go up testing the Miami because menic moisture boose.

Speaker 8 (33:01):
Oh she's another adh she does his ads. Yeah, you
should love this woman. Yeah, she's a talk slot.

Speaker 5 (33:09):
I still like the taco.

Speaker 2 (33:11):
This is strong and powerful.

Speaker 5 (33:12):
I don't like to talk.

Speaker 2 (33:13):
She doesn't need she doesn't need him. You know, she
has her own money.

Speaker 5 (33:16):
Yeah, that's great. I don't like the taco.

Speaker 6 (33:19):
Shoot, Jeffrey, what advice would you give this guy as
he gets engaged? Now with this one hundred and forty
one million dollars.

Speaker 2 (33:29):
To take you one day at a time, you know,
I mean.

Speaker 1 (33:32):
You're gonna get I mean she's got her own It
sounds like to me she's well off, you know, with
her what she does and what he does. So I
think what's gonna happen is either they're, like their attorney's
gonna probably get together. We're gonna have to get an
iron clad prenup on this one because a lot of
money is involved.

Speaker 6 (33:46):
Dad, but it doesn't matter. You get this prenup and
then the judge looks at it and goes, yeah, I
don't like that, and he throws it out. That's that's allowable.
How I don't know. It's insane. I got a prenup
and they just I went in there thinking I'm really
going to protect all my assets.

Speaker 5 (34:03):
It's the way to think before you get married.

Speaker 6 (34:06):
Well you have to, you know, it's a it's a gamble,
it's a risk. Most people get divorced in the United
States of America.

Speaker 2 (34:12):
Not me.

Speaker 6 (34:12):
I'm in a very happy marriage. Yes, my wife and
I are very very happy. Yeah, at least fifty percent
of that is true. But yeah, they I've told you
this story before. They basically go, yeah, so what do
you want? I said, I want to pay zero if
we get a divorce. They said, you're an idiot. That's
not how this works. So essentially I have to give up.

(34:34):
I don't remember what the dollar amount was, but when
you see that dollar amount, I go, hi, am I
even going to make that? All the money I make
is basically just going to go right to her.

Speaker 2 (34:43):
Good, that's with the prenup. Yes, Charlie, don't ever get married.

Speaker 5 (34:48):
Oh stop it, No, I'm.

Speaker 6 (34:50):
Being serious For dudes, like, there's no get married. Really
is no good reason to get married. There's not I
don't know of this day and age, Stitz, people love
each other without getting married. Yeah, you don't need the
state to sanction your love. Do you you need you
need to validate man the piece of paper, Snitz. I
don't care about the state in front of God. To her, yes,

(35:14):
you don't even believe in God? Well yeah kind of do?
Wait now you do? I have for a long time?

Speaker 2 (35:21):
Yeah? How long? My whole life? Charlie? Is this news
to me? This isn't this.

Speaker 8 (35:30):
He's never been that fatal, He's never been a vocal
atheist but I kind of assumed he was.

Speaker 5 (35:35):
Why because you two?

Speaker 2 (35:36):
No, because Lefty, I never heard you talk about going to.

Speaker 9 (35:42):
Church, So to go to church, he probably doesn't like
you should the structure of religion.

Speaker 2 (35:47):
And why is everybody talking to ties that?

Speaker 6 (35:51):
Yeah, snitz, Why why haven't you brought up your religion
in the past.

Speaker 10 (35:56):
Well, I was, you know, more like a not atheists,
but it was more what's the other thing? Yeah, before,
which is basically who knows? Yeah, that's basically So you're agnostic?

Speaker 2 (36:09):
Then hurt? No? I was. I didn't hurt to believe
in something.

Speaker 6 (36:12):
Okay, So wait, so you were, but then something changed,
and now you believe what changed?

Speaker 2 (36:18):
What happened?

Speaker 10 (36:20):
Maybe my daughters they're both very very religious. My daughter,
my one daughter goes to church every week.

Speaker 2 (36:26):
How did they get religious? I have no idea. How
did my other two? How did my two sons join
the military? Come for me?

Speaker 6 (36:32):
I have no idea. I got to have a talk
with his male man. Something's going on. There are these actually.

Speaker 2 (36:38):
His children obvious.

Speaker 5 (36:40):
That's really sweet.

Speaker 6 (36:41):
So you're when did your daughters get into religion? How
old were they approximately?

Speaker 2 (36:48):
I mean they went to Sunday school and stuff. They're younger, so, but.

Speaker 5 (36:53):
Did they like go to church with your wife?

Speaker 2 (36:57):
No?

Speaker 4 (36:59):
No, after they graduated high school did they go like
they just started they met a guy, they started going like.

Speaker 5 (37:07):
Just on their own.

Speaker 2 (37:09):
My daughter's husband's churchgoer.

Speaker 10 (37:12):
But you know, it was like you know before that though,
sure she was, and then my daughter with the kids,
that's more recent.

Speaker 2 (37:21):
But should do you go to church with them? Have
you been to church? I did go to church on
Mother's Day? What'd you saying with my daughter? This is
my speed? I liked it. It was nice. I like
that church. That's fantastic.

Speaker 6 (37:32):
Good for you, Charlie and I just spent all day
yesterday talking about how bad church sucks.

Speaker 2 (37:38):
Yeah, like it was the greatest day of my life.

Speaker 6 (37:40):
When they go, I was like fourteen, and they're like,
you don't have to go to church if you don't
want to, I go.

Speaker 2 (37:44):
Of course I don't want to. Who would. It's miserable.

Speaker 5 (37:47):
It's not miserable.

Speaker 6 (37:50):
So Stinzer has found religion. Who knew? How this has
shocked to me? I really had no idea. What else
do you think we don't know about this guy? He's
got all sorts of secrets. Man, crazy stuff. So what
what religion? If someone asks you what religion, would you

(38:10):
say you are Christian?

Speaker 10 (38:13):
Well, that's kind of the basic of every religion. Nor
not not Buddhist.

Speaker 2 (38:18):
You could be Muslim, you could be you know, Jewish.
I don't know. It wasn't your family was in the Holocaust,
My family, I don't know. Yeah, okay, I was. Read's Catholic.
About what denomination? Would you say?

Speaker 10 (38:31):
You are?

Speaker 2 (38:31):
None? Non denominational.

Speaker 6 (38:37):
He has been growing that beard for a while since
sleep I don't have a beard.

Speaker 2 (38:42):
Well, no, Jeffreys the sleeper smell all right, Well would
you lessis I've got to take a quick break. Eight

(39:06):
sixty six Your rover is there?

Speaker 6 (39:09):
Number eight sixty six nine six seven six eighty three seven.

Speaker 2 (39:15):
Kayley says, you guys suck.

Speaker 6 (39:16):
Snincer said something years ago about him now being religious.
I remember when his daughter first started going to church
with her boyfriend. Well, you're paying a lot more attention
to what Snincher says than we are. And uh Poule says,
the last time I went to church was in basic
training in the army because it got me out of

(39:37):
cleaning the barracks. Yeah, that would be I guess that
would be motivation. Can you get to clean the toilets
or go to church? You go, that's one thing. I go, Okay,
I'll go to church. All right, let me take a
quick break. We'll be right back on Rover's morning glory.

Speaker 2 (39:52):
Hang on,
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