November 7, 2023 • 44 mins
What if the way we watch sports was about to be transformed? This riveting discussion promises to uncover how the NFL and Amazon Prime are harnessing the power of AI to revolutionize the viewing experience of Thursday night football. From enhancing real-time viewing using machine learning to spotlighting key game strategies, we've got a thrilling chat that marries technology and sports in a way you've never imagined.
The conversation gets even more exciting as we delve into how AI is reshaping our understanding of the game. We discuss how AI and machine learning are serving up customizable viewing experiences that could change the way we perceive critical game moments. From the nail-biting pressure of fourth and two situations, to the strategic brilliance behind fakeouts, we unpack how AI tools can offer an unparalleled insight into the world of football.
But we're not stopping there. We also venture into the captivating future of sports broadcasting. Imagine having detailed analytics and statistics at your fingertips, thanks to the power of AI. We discuss the potential of AI in crafting 'struggle charts' to illustrate game momentum shifts, and explore the stark differences of watching a game at home versus live in the stadium. Could AI impact ticket sales or even fill NFL stands? Join us as we explore these intriguing possibilities, and much more. Don't miss out on this engaging journey of technology-meets-sports.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
Yeah, let's go ahead and get into our topic, man, we
got a good one that we're goingto run through for you guys.
It's all about the NFL, man,and not just the NFL, but
Thursday night football onAmazon Prime, and I think
they're really making a rush forthe fun, to make their
(00:21):
themselves the primary showman,if you will, of NFL.
With these features, it justmakes it in real time, with the
help of AI, more accessible andintuitive for nerds of football,
(00:41):
without gaining the way of thecasual viewer.
You know, I inadvertently endedup in the first night of it
ever going live tonight, so Ialso found an article on it as I
was just trying to bring thegame up and I was like, oh wait,
let's see what this is allabout.
So I say we jump into it, man.
(01:03):
What do you think?
Speaker 3 (01:04):
I think so too, bro.
Let's do it.
Speaker 1 (01:07):
All right, let's go ahead and get into it.
What's going on?
Everybody, I'm John, you knowI'm Denison.
This is the catch up.
All right, we're in the formnow.
(01:41):
We got some new things thatwe're excited to debut on this
week's episode.
Thank you, guys, so much forjoining us.
Before we dump fully in to whatwe're going to talk about, we
want to remind you guys of thethree that's why I said it three
best ways to support this show.
Number one Dang all kinds ofnotifications.
(02:06):
Number one we want you to leaveus a rating review wherever
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We're talking stars, we'retalking alike, we're talking
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It's a really easy way to letus know what you think of this
(02:26):
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more potential viewers.
Number two let's see againExample of what two looks like.
Oh, a second.
Oh, that's a flex dude here.
I was flexing about a freakingset list and you're over here
(02:48):
with that guy.
A flip phone.
Jeez, there's two.
All right, all right, yeah,follow us on Facebook and
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If you're not already on there,give us a follow and jump on
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You get to let your thoughts beknown about whatever we're
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(03:10):
show, just as Christina did whenwe were rolling out the new
what would it be?
The new rollout?
Yeah, we're going to be rollingout the new rollout.
Yeah, we're rolling out the newrollout.
Why not say it that way?
Christina said, and I quotevery cool, which I appreciate we
both do.
So we want you to let yourthoughts be known about whatever
is that we're talking abouteach week.
(03:32):
So follow us, subscribewherever you're watching and, if
you're on audio, jump over tothe video side.
And number three oh my goodness,look at that and you be playing
some tunes, man Number three.
Jump over to our good cleanstore.
(03:54):
Man, why not?
You know what I mean.
We got all kinds of good cleanmerch over there.
We have shirts, we have andguess what Spoiler alert, it's
starting to get cool.
We have hoodies, we have longsleeves, we have hats, we have
beanies, we got a mug so you canget your nice warm coffee in
there and has a special effecton it too.
(04:15):
And we have phone cases.
So we got all kinds of coolthings.
We definitely, definitely wantyou to jump over there and check
it all out.
So, without further ado, let'sjump into this topic.
And I want to ask Dennis andthis is in no way like hey,
what's up?
You casual viewer, I don'tthink.
(04:35):
But I would say, based on what Iknow and correct me if I'm
wrong but you're more of acasual viewer of football, right
, yeah, yeah, that's true.
So let me ask you this andanswer however you feel
necessary New AI, in depth toolsto understand the game better,
and the risk of a sack or theopportunity for a touchdown here
(04:59):
and things like that how isthat appeal to you?
You're not logging off.
Speaker 3 (05:10):
No, I mean, I think it's.
I think it's really cool.
I think it's a really reallycool integration of AI, right,
you know, I think it's.
It's a great way to make thegame even more interesting,
especially for for casualviewers like myself.
Speaker 1 (05:28):
OK, so you do think so.
If you're watching a game, youwould say you know, I'm actually
a little more invested in thisgame now.
Yeah, that's, that's great,that's fantastic, that's great
news.
And you know, we're going tojump in and explain to everybody
what these are all about.
Christina, here in the comments, she's saying no, because I was
(05:50):
like no, not at all.
So Christina is not in tune,she's not one to tune into the
to the football game, justbecause they got more stats
coming to rise.
Yeah, but let me.
Let me lay some of thesefeatures out for you.
Now, this is just on AmazonPrime.
Right For Thursday NightFootball.
Now, today was the first day ofthe season for a prime to
(06:12):
feature Thursday Night Football.
It's always either Amazon Primeor OK or NBC, right, so it's
going to be interesting too,because that's a huge investment
.
Right For what they are goingto, basically, I think, just
have half of Thursday NightGames, right?
(06:32):
Yeah, you already get lessviewership.
It's interesting.
So I'm going to scroll downhere a little bit.
One of these features all ofthis used with multiple types of
AI to enhance your real timeviewing, not not highlights
looking back.
Now, this is that, right, soprime targets.
(06:54):
This is a machine learningmodel that highlights which
receivers have createdseparation from defenders within
their roots and are in positionto convert a first down.
It's all unfolds on the screenin real time and that way you
get to know what possibleoptions in real time the
quarterback would use.
(07:16):
Right, a great option.
I will say this I'm wanting togo through every option one by
one, every option, every featureone by one.
But I want to say this before Icontinue.
On man, that seems like a hugeinvestment in technology with
(07:39):
such little relief from it,because in the time that
receiver separates themselvesfrom a defender to where it
would say hey, this is theperson that quarterback wants to
throw to, you know what'shappening.
By the time that circle comesaround, quarterback's like is
that quarterback throwing?
Speaker 3 (08:00):
Yep exactly.
Speaker 1 (08:01):
You know what I mean.
Split second decision.
It's a split second decision,quick reaction time.
It's not like the AI is goingto circle a receiver.
You're going to be like, hey,you should throw it to that guy.
No, it's already going to belike.
It's going to be like circle,boom, catch.
You know what I mean.
Speaker 3 (08:17):
Exactly, Exactly.
The AI is going to want to belike treating it like Dora the
Explorer.
There's a good amount of time.
Where is the receiver?
Where is the quarterback goingto throw the football?
Speaker 1 (08:31):
Yeah, it gives you like ABHT.
Yeah, exactly Right, I feelthat that's what it makes it
sound like when you're readingit, but when you're watching a
game, that's just not practical.
You know what I mean.
So I think, yeah, let's gothrough these one by one,
because what I'm starting to getis Amazon is investing money in
(08:52):
a product that is more just hey, look at us rather than
actually benefiting the viewerin a large way.
Right, yeah, of course they'reaiming at really in-depth
football viewers.
I get why they would right,because those are the people
watching the NFL on Thursdaynight.
Speaker 3 (09:12):
You know what I mean Exactly.
They're the fan of footballpeople, you know.
Speaker 1 (09:17):
Yeah, well, yes, I do .
Speaker 3 (09:21):
I mean, you know it's in statistics.
Speaker 1 (09:22):
I mean I'm coming back for a third win, bro, let's
go, okay.
So, second feature of sevenOkay, a fourth down decision
guide.
A fourth down decision guideallows fans to place themselves
in the shoes of NFL coaches whenit comes time to make pivotal
(09:43):
decisions Should a team go forit on fourth down or should they
punt?
The feature uses machinelearning to not only calculate
the likelihood of success forboth options, but also how the
decision will affect the team'sgame winning probability.
So I'm going to play it thisway.
Right?
It's a close game.
(10:05):
Five minutes left in the game,right, you're on the other team
side of the field, so you'vecrossed midfield.
It's fourth and three, right?
What are you going to do?
Let me just ask you what areyou going to do?
Get casual football fan, okay.
(10:27):
So, you're on the defensive sideof the field, you've already
crossed midfield, you're down,you're trying to score in this
five minutes left in the game.
Which means with five minutesleft in the game, you could punt
the ball or give it to theother team, and let's just say
you're at midfield.
That'd make a lot more sense.
We take field goals out of this, right.
(10:47):
Yeah, you're at midfield.
You could punt it away, give itto the other team and
potentially get a defensive stopand get the ball back in time
to go score.
Or you could go for it on thatfourth and three, get the first
down and keep your drive going.
Which one would you do?
Speaker 3 (11:05):
Honestly, I would punt it man.
I'd punt it Because you'remidfield.
I'm not even close to fieldgoal range and, yes, technically
there's a possibility of megetting within.
You know, if I can get thatfirst down, it gets me within
field goal range, most likely,and then I can go from there.
But I think, just the pop.
(11:26):
If I've been struggling thishard, if my team has been
struggling this hard, just toget midfield, we're going to go
ahead and punt it man.
Speaker 1 (11:34):
I feel that Christina says double it and give it to
the next person which, oh mygosh.
I forgot that option.
That's my bad yeah.
I'll tell you honestly man,that would probably be the best
decision or the best reason forthat fourth down decision guide.
So you, as a viewer, arelooking at analytically what
would be the best thing to dohere.
(11:57):
You know, what I mean, whatmakes the most sense if I were
the NFL coach, whether I shouldmove forward and go for a fourth
down or whether I should bailmy defense.
I'll tell you what I'm in favorof this feature.
Because, say you have the NewYork Jets in that situation,
(12:17):
right, it's probably going tosay, go for it, because their
defense is not that good.
Okay, oh wait that's a lie.
Sorry, sorry, nfl viewers,that's a lie.
Defense used to not be thatgood.
Defense is actually prettydecent this year.
But go to a lower team like theVikings, lesser defense, right.
It probably tell them to go forit.
(12:38):
However you have like Cowboys,they got great defenses here.
It's not just because I'm a fan.
You go for it.
That would be a different tollanalytic.
It would probably lean more topunt it.
Rely on your defense.
Get it back.
You know what I mean rather thanturn it over with a rule field
position.
Aaron, good to see you, man,Glad that you're here.
(13:03):
Aaron's chiming in on thecomments.
He says, hey, given Sunday man,this is a game of inches.
It is To the point of thisparticular Amazon feature, this
Amazon Prime feature forThursday Night Football.
That's a good feature becauseit's location dependent, it's
(13:24):
team dependent.
If that AI is accurate.
That's a very impressivefeature.
Let's scroll down.
Defense of alerts Prime visionwith next gen stats.
New defensive alerts featureemployees in neural network
driven by generative AI thatgrows stronger and more accurate
(13:46):
as more and more plays unfold.
It tracks the movements ofdefensive players before the
snap, reads their acceleration,buys players of interest that
are likely to rush thequarterback or the potential
blitzers identified.
A red circle appears under themto give viewers a head up.
Okay, how do you feel aboutthis one?
Speaker 3 (14:10):
Yeah, that's a good question.
Yeah.
And you know, I think I thinkthis is kind of similar in the
same vein as the quarterback one.
It's a nice to have, but Idon't think it's really that
much of a game changer, right,and things are happening so fast
that I mean sure it probablyhas more time to write like this
is what's going to probablyhappen, or blah, blah, blah, but
(14:32):
it's, you know, it's negligibleFor the most part.
I'm pretty sure it's stuff thatwe already knew, like as
football fans, you would alreadyknow like OK, this is probably
where we're going to.
You know, we're going to seeour biggest pressure moment or
pressure spot.
Speaker 1 (14:47):
Exactly right, man.
That's a great external beautyof this, bro.
It really is, because if youknow the team or just if you
know football right, Like peopleknow, for example Sorry, I'm
just going to keep givingCowboys players right yeah, so
they know who your team is.
(15:09):
Oh man, I mean, I'm not going tolie.
I grew up there, bro.
I have to.
You know, um, but yeah, youknow, it's just, you're right,
it's going to be one of thosethings where you're going to
know, because Micah Parsons, forexample, is, yeah, he was a
(15:30):
star defender.
Um, other people have steppedup, stefan Gilmore being one of
them, being a new acquisition tothe team, um, and then Trevon
digs, definitely.
But the thing about it is, ifyou're watching and you know
it's like fourth and two, rightand um, you know, linebackers
(15:57):
are lined up like I was, like Iwas mentioning right, so you
have them like clothes on the uh, why I'm scrimmage, right,
they're clothes like this.
You know Micah Parsons is goingto rush, man, you just know
that it's going to happenbecause they're going to try to
stop the defense from gettingthat first time and having a
turnover on that Right, yeah, no, you're not wrong.
(16:19):
Otherwise, man and this may bejust a by opinion I'd love to
know what our comments feel, uhfeel, but I just feel like that
the defensive alerts areworthless otherwise, because
you're going to see, or you'realready going to know, you know,
you're going to be able to readthose people and know what
they're going to do, you knowyeah, no, I think you're right.
(16:42):
Yeah, I think.
I think our chatterbox knowsthis.
Um, it may help in certainsituations.
What would be interesting forme is people that fake like
they're falling back and itcircles them saying they're
going to rush a quarterback Ifthat ends up happening that's be
cool, that would be really neat.
Yeah, if it ends up having antsright, then that would blow my
(17:02):
mind.
I'm going to have to watchprime football a couple more
weeks to know if that's true ornot.
Um, key plays, ai and machinelearning also provide in-game
options for viewers to tailortheir experience.
Key plays is the new featurethat allows fans to view in-game
highlights and key moments ondemand while watching Thursday
night football on prime video.
(17:24):
So it basically, if you'rerecording the game, you get to
bounce, like imagine you wererecording on YouTube TV right.
You're like your friend comesover and hey man, you should
totally see this.
You get the bounce to itimmediately rather than having
to rewind Right.
Mm, hmm.
That's really all that is, butalso for AI to be able to learn
(17:45):
that in-game at the moment, it'simpressive.
Yeah, it is impressive, I won'tlie.
But I mean, is there anythingto write home about?
No, yeah, that's a lot of stuff.
Speaker 3 (17:58):
No, I mean and you know that's the thing I mean
looking at some of thesefeatures so far is already.
You know it's impressive ingeneral for an AI to be able to
do this without having thathuman intervention right, but
you know it's stuff that wealready kind of, as football
fans, you already kind of knowabout.
Speaker 1 (18:20):
Yeah.
Yeah, yeah, yeah, exactly.
Um, Aaron said in the commentsI actually just remembered I am
facing off against Aaron andfantasy football right now and
he said hey, uh, you notice that70 points to seeing on my bench
for good old Kirk cousinsshaking my head, 70, bro, and he
(18:44):
lost.
See, that's the crazy thingabout fantasy football, is it
translates different, you knowit's you know, the MVP of the
league is not necessarily thebest fantasy player.
You know that press got severaltimes in the last year rated mid
level for league quarterbacks,but he's often been the best
(19:05):
quarterback for fantasy players.
Um, and man Aaron, rip bro.
I mean you got hold on.
Let me go back.
You not only lost 70 with Kirkcousins on the bench, but 17
points with Addison, his widereceiver.
So I got 45 with Jaylen Hertzand Philadelphia defense, bro,
(19:26):
but I got Patty Mahomes, my guy.
Yeah, I've had Patty Mahomesfor the last three years, bro.
I keep making him my keeper.
I'm like I'm not giving them upto somebody else.
I'm still predicted to win on.
Yahoo, fancy yeah.
But, as as Aaron goes on to say,this is his opinion, this stuff
is super cool for people whoaren't football people, that's a
(19:49):
great, that's a greatperspective, right, like, say,
you're in this game withsomebody like that doesn't
understand football.
Right, this is a simple assist,it's a way to explain how
football can work and not juston a surface level, but like an
in depth level.
You know, it's a great point.
(20:10):
It's a great point.
I like that.
Thought.
Rapid recap, Denison, and Iactually tried this out.
You can jump in anytime youwant on the game.
At any point, hit rapid recapand it will give you a good
point.
It's a great game.
At any point, hit rapid recapand it will give you up to 13
(20:32):
highlights of the game to letyou know why it we're at where
we're at and how it got there.
You know the biggest plays thathappened.
I guess it's kind of redundant,but you guys know what I'm
saying.
So yeah, it's, that's a veryeffective thing.
We just tried it.
The edits were absolutely clean.
It looked great.
It was.
(20:53):
There was no slow motionreplays of anything.
We did notice that it was justclean cuts and onto the next.
Yeah, exactly, it was great.
So pretty simple explanationthere.
X-ray this is something thatyou can use when you watch
movies to get in depthinformation on actors and
(21:13):
filmographers and stuff likethat.
With football, you get playerperformance metrics, team and
player info, shopping to fellmerch and predict the outcome of
the game with fan polls.
So that's pretty basic levelstuff, man.
Speaker 3 (21:29):
Yeah, yeah, we're not breaking any new ground, not
really.
Speaker 1 (21:33):
Not at all.
Not with that right.
I mean, that's all stuff.
A quick Google search will getyou, Mm hmm, you know, I think
it's the only.
Speaker 3 (21:41):
the big thing about it is that you know you can get
all that from the comfort ofyour own couch, right From the
couch that you're watching.
Speaker 1 (21:49):
Right, sure, but it's not necessarily easy to
navigate that stuff on a TVcompared to doing on a computer,
you know you're not wrong.
Speaker 3 (21:58):
You're not wrong, but you know I'm just saying I
think I think again.
You know it's one of these.
It's.
It's like Aaron said.
You know these are features fornon football people and it's a
great way to to keep thosepeople more engaged and to
(22:19):
choose Amazon as the platformthat they want to watch any of
their sports on Right.
Speaker 1 (22:24):
Somebody's like.
You know what man?
I'm becoming a Cowboys fan now,because of course I would.
Then they're like just buy itwhile they're watching the game.
It's a good feature.
I get it.
I get it.
I guess I would just have totest out how fluid it is of a
feature, you know, yeah.
Is it janky?
Does it bounce around, do this,do that?
(22:45):
No, you have, I just have totest it out.
You know what I mean?
Yeah, same.
Speaker 3 (22:49):
So yeah.
Speaker 1 (22:50):
So that's a quick one on that one Pressure
probability not out yet.
Spoiler alert Denison and Iwent over this.
I like the idea of this, rightyeah.
It will come out later thisseason.
I don't remember how many gamesPrime is covering for Thursday
(23:11):
night compared to NBC.
I know they split it.
I don't remember what the splitis, but this program, this
effect, will capture thepressure on quarterback and how
it evolves after the snap Um.
So you know.
(23:33):
That's really all it explainsit, as what you can guess is
there will be a little bar atthe bottom right that shows how
much pressure is being put onthe quarterback in real time.
I love that because when you'reup from the press box it's you
get an idea but not as good ofan idea until it replays it from
(23:55):
the cable as to how close thatpressure was on the quarterback
right.
Speaker 3 (24:00):
Yeah, exactly yeah, and you as a viewer sometimes
don't notice just how muchpressure is going on until you
see it during the replay,because you know there's a lot
going on at the snap.
So being able to kind of likehave a visual bar that just kind
of like showing you or or somesort of visual is really cool.
Speaker 1 (24:24):
Yeah, I completely agree, man.
I think that that's somethingthat changes in real time.
I personally would love to knowwhat is constituted as
quarterback pressure, whenobviously you have people coming
up on you and it's kind of hardto see.
Oh, I'm going to expand theshot so this is easier to
explain.
But you know, when you havepeople coming up on you like
(24:45):
this you know, that's a lot ofpressure when they're coming up
on you like this.
how does that affect thequarterback?
You know all those kind ofthings.
I'd love to know the differencewith the angles from a data,
yeah, from a data point.
So those are really thefeatures, man, and I think it's
cool.
It'll be interesting to see howthis affects other broadcasts
(25:07):
or if this just remains anAmazon thing for a while.
But yeah, I mean, that issomething that we've kind of
dipped on or dipped into.
But what, overall, do you feellike this means for the future
of football viewership and maybeeven from a perspective of
(25:31):
expanding it?
Right?
Speaker 3 (25:34):
I think this is, you know, just the tip of the
iceberg, because I can, I cansee a lot of really, really neat
and cool features to come outof this that we haven't seen
before or, you know, can be evenmore efficient or even cooler
to look at or whatever like thatjust more things to really get.
(25:55):
I think.
I think right now this ismainly for non football people,
but I think, in general, as thisevolves, as the technology
evolves and gets better, I thinkI can really see this becoming
like an integral part of likehow football, how fans view
(26:16):
football right and help peopleget more into speed and help
more people get into the sport.
So I only see it, you know,going up from here really and
truly.
I think this is just a testingground, and Amazon is honestly
one of the few companies that Ithink could truly pull this off,
just because of the amount ofbacking that they already have.
Speaker 1 (26:40):
It really is interesting, man, how they've
been advertising their AIcapabilities.
Right Now we're seeing it infootball.
They use a very simplisticversion of it in F1 because AWS
which is, you know, a part ofAmazon.
Yeah.
What's the stand for, bro?
You remember, is the Amazon WebServices.
Speaker 3 (27:02):
It's not right, it is Okay.
Amazon Web Services.
Speaker 1 (27:07):
Real quick.
Aaron says analytics isinvolving in so many sports.
How soon do other sports adoptthe tech for viewers?
Well, yeah, I mean, and that'skind of where I was going into.
So when you watch F1, right,which I do every race, of course
, this has been going on for Ithink five years now, if not
(27:28):
more they use AWS to predict theclosing rate of a car, chasing
down the car in front of it,right?
So with F1, for people whodon't know, it's not a bad thing
if you're 10 seconds behind thecar in front of you, like
(27:49):
NASCAR.
You know, for American racingviewers, with NASCAR you'd be
like, oh well, that guy's notgoing to win, right?
It depends on your tire strategyand the capability of your car.
You could be 10 seconds behind,have a good fast car and be on
a good tire strategy, catchingthose people in front right, and
they use AWS to track at whatlap those two cars will meet
(28:14):
each other right when thetrailing car will catch the one
from it.
That's a very simplistic thing,right?
I mean there's so many otherthings that you go into with
that.
Really, you know, you don't seethis kind of stuff in any car.
You don't see it in NASCAR, youdon't see it.
(28:34):
I don't recall seeing anythinglike this.
And well, you definitely don'tsee it in basketball.
You don't see it in the NBA.
I'm not a regular hockey orbaseball viewer.
I know in the leagues andbaseball they do a heck of a
good job knowing what the speedof the pitch was and the
(28:56):
distance of the of the hit.
They do a great job of that.
I do know that.
Speaker 3 (29:01):
They do.
Speaker 1 (29:02):
And that's impressive with the.
It's more impressive with thedistance of the hit than it is
just the speed of the pitch,really, you know, yeah, it's
really amazing.
But you know, another thingI've noticed in Formula One is
they're able to highlight aspace around the F1 car.
(29:22):
That stays true as the car goeslike this really fast through
corners with a little therenumber of their icon above them.
You know, it's nothing special,right?
So I feel like Aaron asks agood question.
When this will actually becomea prevalent thing In other
sports?
(29:42):
Man, it just makes you wonder,right.
Speaker 3 (29:45):
Yeah, exactly.
I mean, yeah, I think there's Aton of really really neat
features that I think can bereally employed into a lot of
sports and really evolve howthings are done.
As you are, I mean, I love thatyou put you brought up baseball
(30:07):
, because I think baseball isone of those things.
Sorry, baseball is not for me.
So all your baseball fans,please don't get mad at me, but
it's just not for me.
I do really enjoy being inwatching baseball, you know, in
person.
But if I'm watching on the TVit's just, it's just not fun.
But if you know, if they'reable to employ AI to somehow I
(30:33):
don't know how, but get me intobaseball enough to where I can
watch it.
And like there's all these,there's all these stats and
statistics going on and like,maybe even like some sort of
like a like a struggle chart.
It sounds weird, but likeyou're seeing kind of like the
momentum and kind of pressure,that what each side is giving
each other, and kind of likeshowing how much closer it's
(30:56):
getting to one you know, to oneteam than the other and just
showing how much more momentumthey're getting.
I think that would be reallycool.
I think there'd be a really,really cool feature to implement
, and I think that's somethingthat AI could easily do, just
going off of the amount ofinformation that it's gathering.
Yeah Well, it's one of thethings.
Speaker 1 (31:17):
So Brooke is tuning in on the podcast and Brooke, so
great to see you and hear fromyou.
Hope you're doing well.
She says just tuning in.
I might have missed you alltalking about this.
But what about ticket sales?
If the stations just need AI?
Why people go pay for goodseats anymore, you know it just
depends.
It depends on who you are as aviewer.
(31:39):
Right, because either you're aperson or a person that watches
from home and I'll say it likethis, this is from my experience
.
Right when I'm at home, I tryto dive into every nitty-gritty
part of what's going on.
Right, because you're able todo that with a broadcast.
(32:00):
When you're at the event, you'reexperiencing it, right?
You're not so much worried aboutthis for that I think that the
goal is different here.
You know, I don't think it'strying to take away the people
at the stadium.
I'm sure there is a possibilityof a loss with that.
Absolutely, this technology isnot advanced enough yet to make
(32:25):
people stop buying tickets, forsure, but it does make you
wonder if someday it gets sogood where you feel you're at
the stadium.
I mean, it's highly probable.
Someday, a couple hundred yearsfrom now, we're all in AI, some
sort of thing produced by AIthat makes us feel like we're at
(32:45):
the stadium and we're not, andthe players are on some type of
playing field.
You know, yeah.
Speaker 3 (32:51):
I can see a whole VR experience.
Right, you just put your VRheadset on and say VR gets
advanced enough to where itjacks into your nervous system,
to where you can experience thatwhole possibility.
But I think, as stuff evolves,I think things will be different
.
Right, so maybe you may not gooutside to go to the game, but
(33:15):
maybe you still purchase ticketsto the VR experience or
something similar to that.
So I feel like just theenvironment of being in a
stadium.
I don't think that's going togo away anytime soon, I agree.
Speaker 1 (33:32):
Let's tackle Aaron's question here too.
He says another thing is themomentum of football perfect for
this display?
Would baseball be too slow,basketball be too fast?
I'm not, you know, trying todisagree over this stuff at all,
but I think it would work forme personally.
Let me put it this way If theystarted because, first of all,
(33:56):
some of this stuff is not neededin football, right, it's not
Like some of it that we wentover is just not effective.
You don't need it.
Yeah, I unfortunately went awayfrom the page where I would
reference it, but I do thinkthat you know it's starting with
football, because football isthe biggest revenue generating
(34:20):
sport.
There is an America, right, Ithink it would be perfect for
things like soccer, you knowyeah, I think so too Real.
Imagine a thing that says thelikelihood.
It gives a percentagelikelihood of making a kick
right.
Speaker 3 (34:38):
Yeah, that'd be cool.
Speaker 1 (34:40):
That'd be epic.
Speaker 3 (34:41):
Yeah, I think you could do the same thing with
basketball and free, free, freepoint, sure Throws or three
point shots.
Sorry, gosh darn free.
Speaker 1 (34:54):
I'm having a hard time, but yeah, you know with
that kind of a thing thoughAaron makes a great point Would
it be too fast?
Well, that is some of the riskswith some of the things they're
integrating with football.
You know, like what routesreceivers are running, that like
make them open and theyhighlight them.
They're they're noticing thatat the exact same quarterbacks,
(35:17):
are noticing that the exact sametime the players are being
circled, you know what I mean.
Speaker 3 (35:22):
If anything.
Speaker 1 (35:23):
All you're going to do is show, show up like exploit
subpar quarterbacks.
You know what I mean.
Yeah that's what.
That's what that's going to do.
I agree.
He says soccer is like the samemomentum.
I do agree.
Go ahead bro.
Speaker 3 (35:43):
Well, I was just thinking.
You know, as this, as we allknow right, ai is sorry.
Ai is one of those things thatis consistently learning and
growing and all sorts of otherstuff like that, and I wouldn't
be surprised with you know, twoor three years down the road,
(36:04):
that it's able to predict justas well as the quarterbacks are
going to do, and so it's goingto be able to essentially in the
exact same time and speed right, because AI is fast, its
reaction time is almost instant,essentially, if it's, if it's
trained well to where it'll drawthat line right and it's a like
(36:28):
bam, they're going to do this.
I can see something similar tothat.
I do?
Speaker 1 (36:33):
I agree, man.
Yeah, if it would, you know,predict the play before the play
even starts.
So let me backtrack.
I'm not going to disagree withyou, aaron.
I think you're exactly right.
Man, With what we're describinghere, you really kind of only
works for football.
It has to be totally differentapproaches to AI for it to work
(36:55):
at all with other sports.
You know, I do think withbaseball it's interesting, right
, because it would appeal tomore tech appreciative people.
Right, because it has so muchtime to exploit.
Ai is predicting this or thisis what will happen here, that
(37:16):
kind of a thing.
And even so, I'd go so far asto say it could even just
completely ruin baseball becausethere's only so many
possibilities of outcomes thatcould be predicted.
Right, yeah, that's true, butyeah, it's just something that
I'm I don't man, I don't havethe answers right now.
I don't have the best answersfor what could be used for in
(37:39):
the best way, you know yeah,same but.
I think that with racing,there's a definite use for it
there.
Yeah, basketball, you know youcould use it pregame.
Here's where this person willhit the most shots from this is
where defenders need to watchout for you know Mm hmm.
And and stuff like that score.
(38:03):
Yeah, for each team, yeah, Ithink you know, except for,
except for racing.
I think that AI like this, atleast how we're imagining it now
, you know, giving thatpossibility that we're not using
wide enough imagination, it mayonly appeal to technology
(38:28):
people or just, you know, notthe casual fan, whereas I think,
with the NFL, with it usingthese AI additions to the
broadcast, I think it's awelcome addition for those
broadcasts, you know or eitherjust completely well, and with
the example I was giving withbasketball, right, those are
(38:50):
only going to be good for peoplewho watch pregame.
They're not going to care, ifyou know.
They're not going to knowwatching the watching it live,
because it's not going to beable to show you that in real
time.
I mean, maybe it could if theyjust repeat it over and over
again, but it's going to show AI, hey, pregame.
This person is likely going tohit this shot from here, here,
(39:11):
here, here, here, right?
Mm, hmm.
But they also already have thatdata.
So it's just it's tough.
It's kind of tough for me topredict how the else this could
be used, you know.
Speaker 3 (39:21):
Mm.
Hmm, exactly Same it's.
Um.
It's kind of cool, though, justto see that we're doing this
kind of stuff.
I didn't think that it wasgoing to get integrated into
like more mainstream things likefootball, this suit.
Speaker 1 (39:43):
Well, that's a great point, man.
That's actually.
It's a great point because, asI've continued to talk about AI
and these kind of advances, noweverybody's on board with this
man.
Everybody wants this type ofinvolvement.
You know what I mean?
Yeah, no, you're right, and I'mnot trying to be like a
naysayer or talk badly aboutanybody, but there's probably
(40:06):
people out there that are likeman, this is just going to take
over.
Uh, so you're going to haverobots playing football.
You know what I mean?
I mean, seriously, you're goingto be people that perceive it
that way.
Speaker 3 (40:19):
I mean, yeah, that's true, you're right.
You're right.
There's going to be plenty ofpeople out here that are going
to say that.
They're going to say, oh, we'llsee, robots are taking over,
the computers are taking overand you know, the sport is no
longer a fund anymore.
It's going to be like chess.
Yeah, for real.
Speaker 1 (40:36):
Dude, that'd be actually really interesting to
watch.
But yeah.
Anyway, let's answer Brooke'squestion real quick.
She said I should havespecified the example the Rams
last game.
There weren't enough fans inthe stands that the NFL would
have liked to have been there,so they could use AI to fill the
stands.
You know, like having somemovies and TV shows et cetera.
(40:57):
Yeah, I can see that.
I can see that too.
Speaker 3 (41:03):
But, you know.
The problem is is that you know, we we noticed this during the
pandemic right and playersreally do like get a lot of fuel
off of the fans being there andthat's something that sure, as
a as someone who's watching onthe TV, they won't notice, but I
(41:25):
feel like you will notice inhow the athletes play.
Speaker 1 (41:30):
Yeah, no, I completely agree.
So, yeah.
And one thing I would say aboutthat too, is it just I could
see something of that?
Yeah, you would notice how theathletes play, but you know, if
they really want from a nationalTV audience to, you know, put
that on Sunday night football,even though there aren't that
(41:52):
many ticket sales, and theywould, they could just fill it
in with AI, but that wouldbecome noticed at some point,
probably.
That day.
You know at least how it is now,and I think that would take
away from football the NFL as awhole.
So, let's see, it's a goodthing to bring up Brooke and and
definitely a possibility forsure.
(42:14):
So we appreciate you doing that.
Yeah, man, I think we had agood discussion on this and
we're so good, so many of youall jumped in further this
conversation.
We really appreciate it.
So thank you, yeah, thank youfor sharing your thoughts.
Remember to give us a ratingreview.
(42:35):
Wherever you're listening,wherever you're watching, let us
know what you think of thisepisode of the podcast of a
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(42:55):
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So, and more actually, we'renot saying more.
With all that said, thank youguys, so much for listening,
thank you for watching.
I will catch up with you nextweek.
Yeah, let's go ahead and get into our topic, man, we
got a good one that we're goingto run through for you guys.
It's all about the NFL, man,and not just the NFL, but
Thursday night football onAmazon Prime, and I think
they're really making a rush forthe fun, to make their
(00:21):
themselves the primary showman,if you will, of NFL.
With these features, it justmakes it in real time, with the
help of AI, more accessible andintuitive for nerds of football,
(00:41):
without gaining the way of thecasual viewer.
You know, I inadvertently endedup in the first night of it
ever going live tonight, so Ialso found an article on it as I
was just trying to bring thegame up and I was like, oh wait,
let's see what this is allabout.
So I say we jump into it, man.
(01:03):
What do you think?
Speaker 3 (01:04):
I think so too, bro.
Let's do it.
Speaker 1 (01:07):
All right, let's go ahead and get into it.
What's going on?
Everybody, I'm John, you knowI'm Denison.
This is the catch up.
All right, we're in the formnow.
(01:41):
We got some new things thatwe're excited to debut on this
week's episode.
Thank you, guys, so much forjoining us.
Before we dump fully in to whatwe're going to talk about, we
want to remind you guys of thethree that's why I said it three
best ways to support this show.
Number one Dang all kinds ofnotifications.
(02:06):
Number one we want you to leaveus a rating review wherever
you're listening, whereveryou're watching.
It's the simplest thing thatyou can do.
We're talking stars, we'retalking alike, we're talking
four point five out of five, oreven five out of five.
It's a really easy way to letus know what you think of this
(02:26):
podcast and, on top of that, ithelps put us out in front of
more potential viewers.
Number two let's see againExample of what two looks like.
Oh, a second.
Oh, that's a flex dude here.
I was flexing about a freakingset list and you're over here
(02:48):
with that guy.
A flip phone.
Jeez, there's two.
All right, all right, yeah,follow us on Facebook and
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If you're not already on there,give us a follow and jump on
here with us every week.
You get to let your thoughts beknown about whatever we're
talking about in real time andaffect the direction of this
(03:10):
show, just as Christina did whenwe were rolling out the new
what would it be?
The new rollout?
Yeah, we're going to be rollingout the new rollout.
Yeah, we're rolling out the newrollout.
Why not say it that way?
Christina said, and I quotevery cool, which I appreciate we
both do.
So we want you to let yourthoughts be known about whatever
is that we're talking abouteach week.
(03:32):
So follow us, subscribewherever you're watching and, if
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And number three oh my goodness,look at that and you be playing
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Jump over to our good cleanstore.
(03:54):
Man, why not?
You know what I mean.
We got all kinds of good cleanmerch over there.
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We have hoodies, we have longsleeves, we have hats, we have
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(04:15):
And we have phone cases.
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We definitely, definitely wantyou to jump over there and check
it all out.
So, without further ado, let'sjump into this topic.
And I want to ask Dennis andthis is in no way like hey,
what's up?
You casual viewer, I don'tthink.
(04:35):
But I would say, based on what Iknow and correct me if I'm
wrong but you're more of acasual viewer of football, right
, yeah, yeah, that's true.
So let me ask you this andanswer however you feel
necessary New AI, in depth toolsto understand the game better,
and the risk of a sack or theopportunity for a touchdown here
(04:59):
and things like that how isthat appeal to you?
You're not logging off.
Speaker 3 (05:10):
No, I mean, I think it's.
I think it's really cool.
I think it's a really reallycool integration of AI, right,
you know, I think it's.
It's a great way to make thegame even more interesting,
especially for for casualviewers like myself.
Speaker 1 (05:28):
OK, so you do think so.
If you're watching a game, youwould say you know, I'm actually
a little more invested in thisgame now.
Yeah, that's, that's great,that's fantastic, that's great
news.
And you know, we're going tojump in and explain to everybody
what these are all about.
Christina, here in the comments, she's saying no, because I was
(05:50):
like no, not at all.
So Christina is not in tune,she's not one to tune into the
to the football game, justbecause they got more stats
coming to rise.
Yeah, but let me.
Let me lay some of thesefeatures out for you.
Now, this is just on AmazonPrime.
Right For Thursday NightFootball.
Now, today was the first day ofthe season for a prime to
(06:12):
feature Thursday Night Football.
It's always either Amazon Primeor OK or NBC, right, so it's
going to be interesting too,because that's a huge investment
.
Right For what they are goingto, basically, I think, just
have half of Thursday NightGames, right?
(06:32):
Yeah, you already get lessviewership.
It's interesting.
So I'm going to scroll downhere a little bit.
One of these features all ofthis used with multiple types of
AI to enhance your real timeviewing, not not highlights
looking back.
Now, this is that, right, soprime targets.
(06:54):
This is a machine learningmodel that highlights which
receivers have createdseparation from defenders within
their roots and are in positionto convert a first down.
It's all unfolds on the screenin real time and that way you
get to know what possibleoptions in real time the
quarterback would use.
(07:16):
Right, a great option.
I will say this I'm wanting togo through every option one by
one, every option, every featureone by one.
But I want to say this before Icontinue.
On man, that seems like a hugeinvestment in technology with
(07:39):
such little relief from it,because in the time that
receiver separates themselvesfrom a defender to where it
would say hey, this is theperson that quarterback wants to
throw to, you know what'shappening.
By the time that circle comesaround, quarterback's like is
that quarterback throwing?
Speaker 3 (08:00):
Yep exactly.
Speaker 1 (08:01):
You know what I mean.
Split second decision.
It's a split second decision,quick reaction time.
It's not like the AI is goingto circle a receiver.
You're going to be like, hey,you should throw it to that guy.
No, it's already going to belike.
It's going to be like circle,boom, catch.
You know what I mean.
Speaker 3 (08:17):
Exactly, Exactly.
The AI is going to want to belike treating it like Dora the
Explorer.
There's a good amount of time.
Where is the receiver?
Where is the quarterback goingto throw the football?
Speaker 1 (08:31):
Yeah, it gives you like ABHT.
Yeah, exactly Right, I feelthat that's what it makes it
sound like when you're readingit, but when you're watching a
game, that's just not practical.
You know what I mean.
So I think, yeah, let's gothrough these one by one,
because what I'm starting to getis Amazon is investing money in
(08:52):
a product that is more just hey, look at us rather than
actually benefiting the viewerin a large way.
Right, yeah, of course they'reaiming at really in-depth
football viewers.
I get why they would right,because those are the people
watching the NFL on Thursdaynight.
Speaker 3 (09:12):
You know what I mean Exactly.
They're the fan of footballpeople, you know.
Speaker 1 (09:17):
Yeah, well, yes, I do .
Speaker 3 (09:21):
I mean, you know it's in statistics.
Speaker 1 (09:22):
I mean I'm coming back for a third win, bro, let's
go, okay.
So, second feature of sevenOkay, a fourth down decision
guide.
A fourth down decision guideallows fans to place themselves
in the shoes of NFL coaches whenit comes time to make pivotal
(09:43):
decisions Should a team go forit on fourth down or should they
punt?
The feature uses machinelearning to not only calculate
the likelihood of success forboth options, but also how the
decision will affect the team'sgame winning probability.
So I'm going to play it thisway.
Right?
It's a close game.
(10:05):
Five minutes left in the game,right, you're on the other team
side of the field, so you'vecrossed midfield.
It's fourth and three, right?
What are you going to do?
Let me just ask you what areyou going to do?
Get casual football fan, okay.
(10:27):
So, you're on the defensive sideof the field, you've already
crossed midfield, you're down,you're trying to score in this
five minutes left in the game.
Which means with five minutesleft in the game, you could punt
the ball or give it to theother team, and let's just say
you're at midfield.
That'd make a lot more sense.
We take field goals out of this, right.
(10:47):
Yeah, you're at midfield.
You could punt it away, give itto the other team and
potentially get a defensive stopand get the ball back in time
to go score.
Or you could go for it on thatfourth and three, get the first
down and keep your drive going.
Which one would you do?
Speaker 3 (11:05):
Honestly, I would punt it man.
I'd punt it Because you'remidfield.
I'm not even close to fieldgoal range and, yes, technically
there's a possibility of megetting within.
You know, if I can get thatfirst down, it gets me within
field goal range, most likely,and then I can go from there.
But I think, just the pop.
(11:26):
If I've been struggling thishard, if my team has been
struggling this hard, just toget midfield, we're going to go
ahead and punt it man.
Speaker 1 (11:34):
I feel that Christina says double it and give it to
the next person which, oh mygosh.
I forgot that option.
That's my bad yeah.
I'll tell you honestly man,that would probably be the best
decision or the best reason forthat fourth down decision guide.
So you, as a viewer, arelooking at analytically what
would be the best thing to dohere.
(11:57):
You know, what I mean, whatmakes the most sense if I were
the NFL coach, whether I shouldmove forward and go for a fourth
down or whether I should bailmy defense.
I'll tell you what I'm in favorof this feature.
Because, say you have the NewYork Jets in that situation,
(12:17):
right, it's probably going tosay, go for it, because their
defense is not that good.
Okay, oh wait that's a lie.
Sorry, sorry, nfl viewers,that's a lie.
Defense used to not be thatgood.
Defense is actually prettydecent this year.
But go to a lower team like theVikings, lesser defense, right.
It probably tell them to go forit.
(12:38):
However you have like Cowboys,they got great defenses here.
It's not just because I'm a fan.
You go for it.
That would be a different tollanalytic.
It would probably lean more topunt it.
Rely on your defense.
Get it back.
You know what I mean rather thanturn it over with a rule field
position.
Aaron, good to see you, man,Glad that you're here.
(13:03):
Aaron's chiming in on thecomments.
He says, hey, given Sunday man,this is a game of inches.
It is To the point of thisparticular Amazon feature, this
Amazon Prime feature forThursday Night Football.
That's a good feature becauseit's location dependent, it's
(13:24):
team dependent.
If that AI is accurate.
That's a very impressivefeature.
Let's scroll down.
Defense of alerts Prime visionwith next gen stats.
New defensive alerts featureemployees in neural network
driven by generative AI thatgrows stronger and more accurate
(13:46):
as more and more plays unfold.
It tracks the movements ofdefensive players before the
snap, reads their acceleration,buys players of interest that
are likely to rush thequarterback or the potential
blitzers identified.
A red circle appears under themto give viewers a head up.
Okay, how do you feel aboutthis one?
Speaker 3 (14:10):
Yeah, that's a good question.
Yeah.
And you know, I think I thinkthis is kind of similar in the
same vein as the quarterback one.
It's a nice to have, but Idon't think it's really that
much of a game changer, right,and things are happening so fast
that I mean sure it probablyhas more time to write like this
is what's going to probablyhappen, or blah, blah, blah, but
(14:32):
it's, you know, it's negligibleFor the most part.
I'm pretty sure it's stuff thatwe already knew, like as
football fans, you would alreadyknow like OK, this is probably
where we're going to.
You know, we're going to seeour biggest pressure moment or
pressure spot.
Speaker 1 (14:47):
Exactly right, man.
That's a great external beautyof this, bro.
It really is, because if youknow the team or just if you
know football right, Like peopleknow, for example Sorry, I'm
just going to keep givingCowboys players right yeah, so
they know who your team is.
(15:09):
Oh man, I mean, I'm not going tolie.
I grew up there, bro.
I have to.
You know, um, but yeah, youknow, it's just, you're right,
it's going to be one of thosethings where you're going to
know, because Micah Parsons, forexample, is, yeah, he was a
(15:30):
star defender.
Um, other people have steppedup, stefan Gilmore being one of
them, being a new acquisition tothe team, um, and then Trevon
digs, definitely.
But the thing about it is, ifyou're watching and you know
it's like fourth and two, rightand um, you know, linebackers
(15:57):
are lined up like I was, like Iwas mentioning right, so you
have them like clothes on the uh, why I'm scrimmage, right,
they're clothes like this.
You know Micah Parsons is goingto rush, man, you just know
that it's going to happenbecause they're going to try to
stop the defense from gettingthat first time and having a
turnover on that Right, yeah, no, you're not wrong.
(16:19):
Otherwise, man and this may bejust a by opinion I'd love to
know what our comments feel, uhfeel, but I just feel like that
the defensive alerts areworthless otherwise, because
you're going to see, or you'realready going to know, you know,
you're going to be able to readthose people and know what
they're going to do, you knowyeah, no, I think you're right.
(16:42):
Yeah, I think.
I think our chatterbox knowsthis.
Um, it may help in certainsituations.
What would be interesting forme is people that fake like
they're falling back and itcircles them saying they're
going to rush a quarterback Ifthat ends up happening that's be
cool, that would be really neat.
Yeah, if it ends up having antsright, then that would blow my
(17:02):
mind.
I'm going to have to watchprime football a couple more
weeks to know if that's true ornot.
Um, key plays, ai and machinelearning also provide in-game
options for viewers to tailortheir experience.
Key plays is the new featurethat allows fans to view in-game
highlights and key moments ondemand while watching Thursday
night football on prime video.
(17:24):
So it basically, if you'rerecording the game, you get to
bounce, like imagine you wererecording on YouTube TV right.
You're like your friend comesover and hey man, you should
totally see this.
You get the bounce to itimmediately rather than having
to rewind Right.
Mm, hmm.
That's really all that is, butalso for AI to be able to learn
(17:45):
that in-game at the moment, it'simpressive.
Yeah, it is impressive, I won'tlie.
But I mean, is there anythingto write home about?
No, yeah, that's a lot of stuff.
Speaker 3 (17:58):
No, I mean and you know that's the thing I mean
looking at some of thesefeatures so far is already.
You know it's impressive ingeneral for an AI to be able to
do this without having thathuman intervention right, but
you know it's stuff that wealready kind of, as football
fans, you already kind of knowabout.
Speaker 1 (18:20):
Yeah.
Yeah, yeah, yeah, exactly.
Um, Aaron said in the commentsI actually just remembered I am
facing off against Aaron andfantasy football right now and
he said hey, uh, you notice that70 points to seeing on my bench
for good old Kirk cousinsshaking my head, 70, bro, and he
(18:44):
lost.
See, that's the crazy thingabout fantasy football, is it
translates different, you knowit's you know, the MVP of the
league is not necessarily thebest fantasy player.
You know that press got severaltimes in the last year rated mid
level for league quarterbacks,but he's often been the best
(19:05):
quarterback for fantasy players.
Um, and man Aaron, rip bro.
I mean you got hold on.
Let me go back.
You not only lost 70 with Kirkcousins on the bench, but 17
points with Addison, his widereceiver.
So I got 45 with Jaylen Hertzand Philadelphia defense, bro,
(19:26):
but I got Patty Mahomes, my guy.
Yeah, I've had Patty Mahomesfor the last three years, bro.
I keep making him my keeper.
I'm like I'm not giving them upto somebody else.
I'm still predicted to win on.
Yahoo, fancy yeah.
But, as as Aaron goes on to say,this is his opinion, this stuff
is super cool for people whoaren't football people, that's a
(19:49):
great, that's a greatperspective, right, like, say,
you're in this game withsomebody like that doesn't
understand football.
Right, this is a simple assist,it's a way to explain how
football can work and not juston a surface level, but like an
in depth level.
You know, it's a great point.
(20:10):
It's a great point.
I like that.
Thought.
Rapid recap, Denison, and Iactually tried this out.
You can jump in anytime youwant on the game.
At any point, hit rapid recapand it will give you a good
point.
It's a great game.
At any point, hit rapid recapand it will give you up to 13
(20:32):
highlights of the game to letyou know why it we're at where
we're at and how it got there.
You know the biggest plays thathappened.
I guess it's kind of redundant,but you guys know what I'm
saying.
So yeah, it's, that's a veryeffective thing.
We just tried it.
The edits were absolutely clean.
It looked great.
It was.
(20:53):
There was no slow motionreplays of anything.
We did notice that it was justclean cuts and onto the next.
Yeah, exactly, it was great.
So pretty simple explanationthere.
X-ray this is something thatyou can use when you watch
movies to get in depthinformation on actors and
(21:13):
filmographers and stuff likethat.
With football, you get playerperformance metrics, team and
player info, shopping to fellmerch and predict the outcome of
the game with fan polls.
So that's pretty basic levelstuff, man.
Speaker 3 (21:29):
Yeah, yeah, we're not breaking any new ground, not
really.
Speaker 1 (21:33):
Not at all.
Not with that right.
I mean, that's all stuff.
A quick Google search will getyou, Mm hmm, you know, I think
it's the only.
Speaker 3 (21:41):
the big thing about it is that you know you can get
all that from the comfort ofyour own couch, right From the
couch that you're watching.
Speaker 1 (21:49):
Right, sure, but it's not necessarily easy to
navigate that stuff on a TVcompared to doing on a computer,
you know you're not wrong.
Speaker 3 (21:58):
You're not wrong, but you know I'm just saying I
think I think again.
You know it's one of these.
It's.
It's like Aaron said.
You know these are features fornon football people and it's a
great way to to keep thosepeople more engaged and to
(22:19):
choose Amazon as the platformthat they want to watch any of
their sports on Right.
Speaker 1 (22:24):
Somebody's like.
You know what man?
I'm becoming a Cowboys fan now,because of course I would.
Then they're like just buy itwhile they're watching the game.
It's a good feature.
I get it.
I get it.
I guess I would just have totest out how fluid it is of a
feature, you know, yeah.
Is it janky?
Does it bounce around, do this,do that?
(22:45):
No, you have, I just have totest it out.
You know what I mean?
Yeah, same.
Speaker 3 (22:49):
So yeah.
Speaker 1 (22:50):
So that's a quick one on that one Pressure
probability not out yet.
Spoiler alert Denison and Iwent over this.
I like the idea of this, rightyeah.
It will come out later thisseason.
I don't remember how many gamesPrime is covering for Thursday
(23:11):
night compared to NBC.
I know they split it.
I don't remember what the splitis, but this program, this
effect, will capture thepressure on quarterback and how
it evolves after the snap Um.
So you know.
(23:33):
That's really all it explainsit, as what you can guess is
there will be a little bar atthe bottom right that shows how
much pressure is being put onthe quarterback in real time.
I love that because when you'reup from the press box it's you
get an idea but not as good ofan idea until it replays it from
(23:55):
the cable as to how close thatpressure was on the quarterback
right.
Speaker 3 (24:00):
Yeah, exactly yeah, and you as a viewer sometimes
don't notice just how muchpressure is going on until you
see it during the replay,because you know there's a lot
going on at the snap.
So being able to kind of likehave a visual bar that just kind
of like showing you or or somesort of visual is really cool.
Speaker 1 (24:24):
Yeah, I completely agree, man.
I think that that's somethingthat changes in real time.
I personally would love to knowwhat is constituted as
quarterback pressure, whenobviously you have people coming
up on you and it's kind of hardto see.
Oh, I'm going to expand theshot so this is easier to
explain.
But you know, when you havepeople coming up on you like
(24:45):
this you know, that's a lot ofpressure when they're coming up
on you like this.
how does that affect thequarterback?
You know all those kind ofthings.
I'd love to know the differencewith the angles from a data,
yeah, from a data point.
So those are really thefeatures, man, and I think it's
cool.
It'll be interesting to see howthis affects other broadcasts
(25:07):
or if this just remains anAmazon thing for a while.
But yeah, I mean, that issomething that we've kind of
dipped on or dipped into.
But what, overall, do you feellike this means for the future
of football viewership and maybeeven from a perspective of
(25:31):
expanding it?
Right?
Speaker 3 (25:34):
I think this is, you know, just the tip of the
iceberg, because I can, I cansee a lot of really, really neat
and cool features to come outof this that we haven't seen
before or, you know, can be evenmore efficient or even cooler
to look at or whatever like thatjust more things to really get.
(25:55):
I think.
I think right now this ismainly for non football people,
but I think, in general, as thisevolves, as the technology
evolves and gets better, I thinkI can really see this becoming
like an integral part of likehow football, how fans view
(26:16):
football right and help peopleget more into speed and help
more people get into the sport.
So I only see it, you know,going up from here really and
truly.
I think this is just a testingground, and Amazon is honestly
one of the few companies that Ithink could truly pull this off,
just because of the amount ofbacking that they already have.
Speaker 1 (26:40):
It really is interesting, man, how they've
been advertising their AIcapabilities.
Right Now we're seeing it infootball.
They use a very simplisticversion of it in F1 because AWS
which is, you know, a part ofAmazon.
Yeah.
What's the stand for, bro?
You remember, is the Amazon WebServices.
Speaker 3 (27:02):
It's not right, it is Okay.
Amazon Web Services.
Speaker 1 (27:07):
Real quick.
Aaron says analytics isinvolving in so many sports.
How soon do other sports adoptthe tech for viewers?
Well, yeah, I mean, and that'skind of where I was going into.
So when you watch F1, right,which I do every race, of course
, this has been going on for Ithink five years now, if not
(27:28):
more they use AWS to predict theclosing rate of a car, chasing
down the car in front of it,right?
So with F1, for people whodon't know, it's not a bad thing
if you're 10 seconds behind thecar in front of you, like
(27:49):
NASCAR.
You know, for American racingviewers, with NASCAR you'd be
like, oh well, that guy's notgoing to win, right?
It depends on your tire strategyand the capability of your car.
You could be 10 seconds behind,have a good fast car and be on
a good tire strategy, catchingthose people in front right, and
they use AWS to track at whatlap those two cars will meet
(28:14):
each other right when thetrailing car will catch the one
from it.
That's a very simplistic thing,right?
I mean there's so many otherthings that you go into with
that.
Really, you know, you don't seethis kind of stuff in any car.
You don't see it in NASCAR, youdon't see it.
(28:34):
I don't recall seeing anythinglike this.
And well, you definitely don'tsee it in basketball.
You don't see it in the NBA.
I'm not a regular hockey orbaseball viewer.
I know in the leagues andbaseball they do a heck of a
good job knowing what the speedof the pitch was and the
(28:56):
distance of the of the hit.
They do a great job of that.
I do know that.
Speaker 3 (29:01):
They do.
Speaker 1 (29:02):
And that's impressive with the.
It's more impressive with thedistance of the hit than it is
just the speed of the pitch,really, you know, yeah, it's
really amazing.
But you know, another thingI've noticed in Formula One is
they're able to highlight aspace around the F1 car.
(29:22):
That stays true as the car goeslike this really fast through
corners with a little therenumber of their icon above them.
You know, it's nothing special,right?
So I feel like Aaron asks agood question.
When this will actually becomea prevalent thing In other
sports?
(29:42):
Man, it just makes you wonder,right.
Speaker 3 (29:45):
Yeah, exactly.
I mean, yeah, I think there's Aton of really really neat
features that I think can bereally employed into a lot of
sports and really evolve howthings are done.
As you are, I mean, I love thatyou put you brought up baseball
(30:07):
, because I think baseball isone of those things.
Sorry, baseball is not for me.
So all your baseball fans,please don't get mad at me, but
it's just not for me.
I do really enjoy being inwatching baseball, you know, in
person.
But if I'm watching on the TVit's just, it's just not fun.
But if you know, if they'reable to employ AI to somehow I
(30:33):
don't know how, but get me intobaseball enough to where I can
watch it.
And like there's all these,there's all these stats and
statistics going on and like,maybe even like some sort of
like a like a struggle chart.
It sounds weird, but likeyou're seeing kind of like the
momentum and kind of pressure,that what each side is giving
each other, and kind of likeshowing how much closer it's
(30:56):
getting to one you know, to oneteam than the other and just
showing how much more momentumthey're getting.
I think that would be reallycool.
I think there'd be a really,really cool feature to implement
, and I think that's somethingthat AI could easily do, just
going off of the amount ofinformation that it's gathering.
Yeah Well, it's one of thethings.
Speaker 1 (31:17):
So Brooke is tuning in on the podcast and Brooke, so
great to see you and hear fromyou.
Hope you're doing well.
She says just tuning in.
I might have missed you alltalking about this.
But what about ticket sales?
If the stations just need AI?
Why people go pay for goodseats anymore, you know it just
depends.
It depends on who you are as aviewer.
(31:39):
Right, because either you're aperson or a person that watches
from home and I'll say it likethis, this is from my experience
.
Right when I'm at home, I tryto dive into every nitty-gritty
part of what's going on.
Right, because you're able todo that with a broadcast.
(32:00):
When you're at the event, you'reexperiencing it, right?
You're not so much worried aboutthis for that I think that the
goal is different here.
You know, I don't think it'strying to take away the people
at the stadium.
I'm sure there is a possibilityof a loss with that.
Absolutely, this technology isnot advanced enough yet to make
(32:25):
people stop buying tickets, forsure, but it does make you
wonder if someday it gets sogood where you feel you're at
the stadium.
I mean, it's highly probable.
Someday, a couple hundred yearsfrom now, we're all in AI, some
sort of thing produced by AIthat makes us feel like we're at
(32:45):
the stadium and we're not, andthe players are on some type of
playing field.
You know, yeah.
Speaker 3 (32:51):
I can see a whole VR experience.
Right, you just put your VRheadset on and say VR gets
advanced enough to where itjacks into your nervous system,
to where you can experience thatwhole possibility.
But I think, as stuff evolves,I think things will be different
.
Right, so maybe you may not gooutside to go to the game, but
(33:15):
maybe you still purchase ticketsto the VR experience or
something similar to that.
So I feel like just theenvironment of being in a
stadium.
I don't think that's going togo away anytime soon, I agree.
Speaker 1 (33:32):
Let's tackle Aaron's question here too.
He says another thing is themomentum of football perfect for
this display?
Would baseball be too slow,basketball be too fast?
I'm not, you know, trying todisagree over this stuff at all,
but I think it would work forme personally.
Let me put it this way If theystarted because, first of all,
(33:56):
some of this stuff is not neededin football, right, it's not
Like some of it that we wentover is just not effective.
You don't need it.
Yeah, I unfortunately went awayfrom the page where I would
reference it, but I do thinkthat you know it's starting with
football, because football isthe biggest revenue generating
(34:20):
sport.
There is an America, right, Ithink it would be perfect for
things like soccer, you knowyeah, I think so too Real.
Imagine a thing that says thelikelihood.
It gives a percentagelikelihood of making a kick
right.
Speaker 3 (34:38):
Yeah, that'd be cool.
Speaker 1 (34:40):
That'd be epic.
Speaker 3 (34:41):
Yeah, I think you could do the same thing with
basketball and free, free, freepoint, sure Throws or three
point shots.
Sorry, gosh darn free.
Speaker 1 (34:54):
I'm having a hard time, but yeah, you know with
that kind of a thing thoughAaron makes a great point Would
it be too fast?
Well, that is some of the riskswith some of the things they're
integrating with football.
You know, like what routesreceivers are running, that like
make them open and theyhighlight them.
They're they're noticing thatat the exact same quarterbacks,
(35:17):
are noticing that the exact sametime the players are being
circled, you know what I mean.
Speaker 3 (35:22):
If anything.
Speaker 1 (35:23):
All you're going to do is show, show up like exploit
subpar quarterbacks.
You know what I mean.
Yeah that's what.
That's what that's going to do.
I agree.
He says soccer is like the samemomentum.
I do agree.
Go ahead bro.
Speaker 3 (35:43):
Well, I was just thinking.
You know, as this, as we allknow right, ai is sorry.
Ai is one of those things thatis consistently learning and
growing and all sorts of otherstuff like that, and I wouldn't
be surprised with you know, twoor three years down the road,
(36:04):
that it's able to predict justas well as the quarterbacks are
going to do, and so it's goingto be able to essentially in the
exact same time and speed right, because AI is fast, its
reaction time is almost instant,essentially, if it's, if it's
trained well to where it'll drawthat line right and it's a like
(36:28):
bam, they're going to do this.
I can see something similar tothat.
I do?
Speaker 1 (36:33):
I agree, man.
Yeah, if it would, you know,predict the play before the play
even starts.
So let me backtrack.
I'm not going to disagree withyou, aaron.
I think you're exactly right.
Man, With what we're describinghere, you really kind of only
works for football.
It has to be totally differentapproaches to AI for it to work
(36:55):
at all with other sports.
You know, I do think withbaseball it's interesting, right
, because it would appeal tomore tech appreciative people.
Right, because it has so muchtime to exploit.
Ai is predicting this or thisis what will happen here, that
(37:16):
kind of a thing.
And even so, I'd go so far asto say it could even just
completely ruin baseball becausethere's only so many
possibilities of outcomes thatcould be predicted.
Right, yeah, that's true, butyeah, it's just something that
I'm I don't man, I don't havethe answers right now.
I don't have the best answersfor what could be used for in
(37:39):
the best way, you know yeah,same but.
I think that with racing,there's a definite use for it
there.
Yeah, basketball, you know youcould use it pregame.
Here's where this person willhit the most shots from this is
where defenders need to watchout for you know Mm hmm.
And and stuff like that score.
(38:03):
Yeah, for each team, yeah, Ithink you know, except for,
except for racing.
I think that AI like this, atleast how we're imagining it now
, you know, giving thatpossibility that we're not using
wide enough imagination, it mayonly appeal to technology
(38:28):
people or just, you know, notthe casual fan, whereas I think,
with the NFL, with it usingthese AI additions to the
broadcast, I think it's awelcome addition for those
broadcasts, you know or eitherjust completely well, and with
the example I was giving withbasketball, right, those are
(38:50):
only going to be good for peoplewho watch pregame.
They're not going to care, ifyou know.
They're not going to knowwatching the watching it live,
because it's not going to beable to show you that in real
time.
I mean, maybe it could if theyjust repeat it over and over
again, but it's going to show AI, hey, pregame.
This person is likely going tohit this shot from here, here,
(39:11):
here, here, here, right?
Mm, hmm.
But they also already have thatdata.
So it's just it's tough.
It's kind of tough for me topredict how the else this could
be used, you know.
Speaker 3 (39:21):
Mm.
Hmm, exactly Same it's.
Um.
It's kind of cool, though, justto see that we're doing this
kind of stuff.
I didn't think that it wasgoing to get integrated into
like more mainstream things likefootball, this suit.
Speaker 1 (39:43):
Well, that's a great point, man.
That's actually.
It's a great point because, asI've continued to talk about AI
and these kind of advances, noweverybody's on board with this
man.
Everybody wants this type ofinvolvement.
You know what I mean?
Yeah, no, you're right, and I'mnot trying to be like a
naysayer or talk badly aboutanybody, but there's probably
(40:06):
people out there that are likeman, this is just going to take
over.
Uh, so you're going to haverobots playing football.
You know what I mean?
I mean, seriously, you're goingto be people that perceive it
that way.
Speaker 3 (40:19):
I mean, yeah, that's true, you're right.
You're right.
There's going to be plenty ofpeople out here that are going
to say that.
They're going to say, oh, we'llsee, robots are taking over,
the computers are taking overand you know, the sport is no
longer a fund anymore.
It's going to be like chess.
Yeah, for real.
Speaker 1 (40:36):
Dude, that'd be actually really interesting to
watch.
But yeah.
Anyway, let's answer Brooke'squestion real quick.
She said I should havespecified the example the Rams
last game.
There weren't enough fans inthe stands that the NFL would
have liked to have been there,so they could use AI to fill the
stands.
You know, like having somemovies and TV shows et cetera.
(40:57):
Yeah, I can see that.
I can see that too.
Speaker 3 (41:03):
But, you know.
The problem is is that you know, we we noticed this during the
pandemic right and playersreally do like get a lot of fuel
off of the fans being there andthat's something that sure, as
a as someone who's watching onthe TV, they won't notice, but I
(41:25):
feel like you will notice inhow the athletes play.
Speaker 1 (41:30):
Yeah, no, I completely agree.
So, yeah.
And one thing I would say aboutthat too, is it just I could
see something of that?
Yeah, you would notice how theathletes play, but you know, if
they really want from a nationalTV audience to, you know, put
that on Sunday night football,even though there aren't that
(41:52):
many ticket sales, and theywould, they could just fill it
in with AI, but that wouldbecome noticed at some point,
probably.
That day.
You know at least how it is now,and I think that would take
away from football the NFL as awhole.
So, let's see, it's a goodthing to bring up Brooke and and
definitely a possibility forsure.
(42:14):
So we appreciate you doing that.
Yeah, man, I think we had agood discussion on this and
we're so good, so many of youall jumped in further this
conversation.
We really appreciate it.
So thank you, yeah, thank youfor sharing your thoughts.
Remember to give us a ratingreview.
(42:35):
Wherever you're listening,wherever you're watching, let us
know what you think of thisepisode of the podcast of a
whole.
It's really, really quick onthe whole.
And also, if you are notlistening to this on live stream
, jump on Facebook, jump onYouTube, give us a follow,
search our podcast name, jump inthe live stream and let us know
your thoughts each and everyweek.
(42:55):
And check out our merch page.
This link, wherever you'relistening, wherever you're
watching, has got all kinds ofneat clothes.
So, and more actually, we'renot saying more.
With all that said, thank youguys, so much for listening,
thank you for watching.
I will catch up with you nextweek.
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