Latest / The M&M Experience / Mike and Mark Discuss Artificial Intelligence

Transcript

Mike and Mark Discuss Artificial Intelligence · The M&M Experience

• 0:02
  Speaker 1: Well, I'm mad at you. You made me watch CNN
• 0:04
  Speaker 1: last night. I know. You doubled the ratings. And then, yeah,
• 0:08
  Speaker 1: I tripled their numbers. But then, but first of all,
• 0:12
  Speaker 1: I got a little annoyed because their coverage was actually,
• 0:16
  Speaker 1: because I watched for about 10 minutes before your hit
• 0:19
  Speaker 1: with Anderson Cooper. Yeah. And they seemed to like you.
• 0:22
  Speaker 1: You did a great job. I was cheering for you,
• 0:25
  Speaker 1: as usual. You were masterful. The way you snuck in
• 0:28
  Speaker 1: to Paul Begala. The old, oh, really, you're going to
• 0:32
  Speaker 1: be the one judging Ken Paxton and his personal challenges
• 0:37
  Speaker 1: with the guy you worked for? And, you know, picture this.
• 0:41
  Speaker 1: I've got like an 85-inch TV set. Yes. And I moved,
• 0:45
  Speaker 1: so I'm in a smaller living room. So I feel
• 0:47
  Speaker 1: like I'm living inside the TV set. So you're like
• 0:49
  Speaker 1: the sphere. Yeah, yeah, yeah. I'm watching the sphere. I'm
• 0:52
  Speaker 1: watching the eagles at the sphere in my living room.
• 0:55
  Speaker 1: So I'm watching your big fat face on the right
• 0:57
  Speaker 1: side of the screen. and Paul Begala's big fat face
• 1:00
  Speaker 1: on the left side of the screen. When you did that,
• 1:03
  Speaker 1: and you did it, first of all, spoiler alert, preview, tease,
• 1:08
  Speaker 1: we're playing the whole appearance of Mark Davis making your debut.
• 1:13
  Speaker 1: on Anderson Cooper Tonight on CNN, on the podcast today
• 1:17
  Speaker 1: at M & M Extra. So noon Eastern, 11 Central.
• 1:20
  Speaker 1: Tune in. We're going to play every glorious word of
• 1:23
  Speaker 1: it because you were masterful. You were like a surgeon.
• 1:26
  Speaker 1: You were in there, and you just sliced and diced.
• 1:30
  Speaker 1: And here's the moment when you get the little thing,
• 1:32
  Speaker 1: the jab in, you did it so subtly about, oh, really?
• 1:36
  Speaker 1: You want to go there and talk about personal behavior
• 1:40
  Speaker 1: considering what they said about Bill Clinton? But you said
• 1:42
  Speaker 1: it in a gracious way because your point was it's
• 1:46
  Speaker 1: more important how a person governs than it is the
• 1:50
  Speaker 1: way they have personal challenges in their lives or personal
• 1:55
  Speaker 1: shortcomings or failings, whatever you want to call it. And
• 1:58
  Speaker 1: I'm going to tell you, 85 inches, Paul Begala, he
• 2:02
  Speaker 1: clenched up. I could see he got a look of
• 2:05
  Speaker 1: constipation on his face that was so funny because what's
• 2:10
  Speaker 1: he going to say? I mean, you made a brilliant point.
• 2:14
  Speaker 1: I mean, Ken Paxton's own, is it his ex-wife endorsing him?
• 2:19
  Speaker 2: I mean, it's kind of she doesn't get it and say, hey,
• 2:22
  Speaker 2: vote for Ken. But she did have a specific message
• 2:24
  Speaker 2: at a Republican club and then in an ad that said,
• 2:27
  Speaker 2: you know what? There's an elephant in the room. People
• 2:30
  Speaker 2: are wondering if I have an opinion about things. Well,
• 2:32
  Speaker 2: it turns out that I do. And I believe that
• 2:34
  Speaker 2: everybody should vote for every Republican because it's not always
• 2:37
  Speaker 2: about obsessing about the members of the team, but getting
• 2:40
  Speaker 2: the team to victory. And I thought that was incredibly gracious.
• 2:43
  Speaker 2: Led me to say Angela can get over it. Maybe
• 2:46
  Speaker 2: some other people should, too.
• 2:48
  Speaker 1: That's the point. And when you made that point to
• 2:50
  Speaker 1: Paul Begala and even Anderson Cooper, he was like, oh,
• 2:53
  Speaker 1: he got a good game. And they let you end
• 2:56
  Speaker 1: the whole segment with a great exclamation point point. It
• 2:59
  Speaker 1: was like it was perfect for you. I don't know
• 3:01
  Speaker 1: why you get so lucky with these appearances. I don't
• 3:04
  Speaker 1: get it. I've never had that kind of luck. I've
• 3:05
  Speaker 1: done those things for 20 years. I don't know what
• 3:07
  Speaker 1: you waltz in there. There you are in your study,
• 3:10
  Speaker 1: in your house. You didn't have to go in with
• 3:12
  Speaker 1: your bum knee. You didn't even have to go to
• 3:14
  Speaker 1: the TV studio.
• 3:15
  Speaker 2: Well, it's funny because my favorite thing is for them
• 3:17
  Speaker 2: to bring the van to the house. But dead serious,
• 3:20
  Speaker 2: I wondered how I was going to climb into the van,
• 3:22
  Speaker 2: you know, with crutches.
• 3:24
  Speaker 1: I know. Are you in a lot of pain?
• 3:26
  Speaker 2: Today is substantially better. I had an MRI yesterday afternoon.
• 3:30
  Speaker 2: Those results will go to my orthopedist.
• 3:32
  Speaker 1: We'll see.
• 3:33
  Speaker 2: I just had a knee just collapse. It went from
• 3:35
  Speaker 2: arthritis to something way different. We'll see what's going on.
• 3:38
  Speaker 2: When's the last time you had an MRI? Actual, full-scale,
• 3:42
  Speaker 2: big-daddy MRI.
• 3:43
  Speaker 1: Right. Well, I had the CT scan that slid me
• 3:47
  Speaker 1: into the tube that was kind of partial a tube
• 3:49
  Speaker 1: for the heart stuff. But the full MRI, MRI, I
• 3:52
  Speaker 1: guess it's been about a, I don't know, a year
• 3:54
  Speaker 1: or two. I don't remember.
• 3:54
  Speaker 2: I think it's been a really long time since I have.
• 3:57
  Speaker 2: I mean, I'm in Viascan all the time, which is
• 3:59
  Speaker 2: not really a full MRI. It's just a different thing
• 4:01
  Speaker 2: for looking at your innards and doing the things, the
• 4:03
  Speaker 2: wonderful things that Viascan does. When it's time for the full,
• 4:06
  Speaker 2: you know, the full whole enchilada MRI, I went in
• 4:09
  Speaker 2: there and they gave me headphones and And said, well,
• 4:12
  Speaker 2: what kind of music do you like? I said, well,
• 4:13
  Speaker 2: I like everything. But for this to chill out, how
• 4:17
  Speaker 2: about some classical? And they said, okay, you're going to
• 4:19
  Speaker 2: be in there for about 10 minutes. And it is
• 4:22
  Speaker 2: a tight tube, but it was by me, so I
• 4:24
  Speaker 2: wasn't all the way in there like the innards of
• 4:27
  Speaker 2: a burrito. So it wasn't as claustrophobic as it might
• 4:30
  Speaker 2: otherwise have been. But it really must have been loud
• 4:32
  Speaker 2: because the nice classical music started. Da-da-da-da-da-dee. Ba-da-da-ba-ba-ba-da-dee. And then boom, boom, boom, boom, boom.
• 4:40
  Speaker 2: I mean, that thing started like it was a construction
• 4:43
  Speaker 2: crew in the room with me.
• 4:43
  Speaker 1: Oh, it scares me.
• 4:44
  Speaker 2: And when I got out, and I forget because you
• 4:46
  Speaker 2: forget what an MRI is. It's a massive Mondo Uber magnet.
• 4:51
  Speaker 2: And I got up, and when I got up, they
• 4:53
  Speaker 2: had made me put the crutches on the far wall,
• 4:56
  Speaker 2: and I kind of hobbled over to get on the
• 4:58
  Speaker 2: MRI platform. And when I rose up, I said, can
• 5:03
  Speaker 2: you hand me the crutches over there?
• 5:04
  Speaker 1: They went, nope.
• 5:05
  Speaker 2: Because they're made of metal, and they might have sucked
• 5:08
  Speaker 2: into the MRI. I said, is this real?
• 5:11
  Speaker 1: Do I just watch too much TV? Have you seen
• 5:14
  Speaker 1: those videos on social media of people getting sucked into
• 5:16
  Speaker 1: the MRI and they got metal on? I think it's AI.
• 5:19
  Speaker 1: Total AI, isn't it? By the way.
• 5:21
  Speaker 2: There was one of the movies, one of the Final
• 5:22
  Speaker 2: Destination movies, where people die in violent, horrible ways.
• 5:26
  Speaker 1: They're in there, yeah.
• 5:26
  Speaker 2: One very unfortunate guy wrapped in metal and with a
• 5:30
  Speaker 2: piercing in a particular place.
• 5:33
  Speaker 1: Wanders too close to an MRI. Oh, dear. What? And
• 5:36
  Speaker 1: so it's very, very vivid. That apparently might not be
• 5:39
  Speaker 1: too far from true. I've got an AI update for you.
• 5:42
  Speaker 1: I'm utilizing AI more and more every single day in
• 5:46
  Speaker 1: my life. And I just talked to the team about
• 5:48
  Speaker 1: maybe using more AI tools for our show. To thus
• 5:52
  Speaker 1: eliminate their jobs. No, no. Well, they make their jobs easier.
• 5:58
  Speaker 1: We've got a process in the morning where I pick
• 6:00
  Speaker 1: topics in the morning and I shoot a bunch of
• 6:03
  Speaker 1: stories to Tracy, my producer, and then she has to
• 6:06
  Speaker 1: put them into a different format and print them out
• 6:08
  Speaker 1: to me. So I have them on my desk when
• 6:10
  Speaker 1: I come in and start the show every day at 10.05. Well,
• 6:14
  Speaker 1: there's an AI program for that. She doesn't have to
• 6:17
  Speaker 1: do it. She's in here printing for an hour, hour
• 6:19
  Speaker 1: and a half. It takes up the majority of her morning.
• 6:23
  Speaker 1: Last night, I'm getting ready for our election coverage, which
• 6:25
  Speaker 1: will feature CNN star Mark Davis as a guest. Tuesday night,
• 6:30
  Speaker 1: we're going to be holding down the fort. I'm anchoring
• 6:32
  Speaker 1: from 8 to 10 Central. I'll be a guest with
• 6:35
  Speaker 1: Larry Elder, 7 to 8. I'm also going to be
• 6:37
  Speaker 1: on Town Hall. We're going to be all out. Town Hall,
• 6:39
  Speaker 1: Salem News Channel, Salem Radio Network, Salem Media.
• 6:42
  Speaker 2: Proud of you.
• 6:43
  Speaker 1: Yeah, big, big night Tuesday. It's going to be a
• 6:45
  Speaker 1: Super Bowl night, and we'll see how it all goes.
• 6:47
  Speaker 1: But I realize I want, in real time, an app
• 6:52
  Speaker 1: or I want a device. I want some environment that
• 6:56
  Speaker 1: gives me— these important election results in real time in
• 7:00
  Speaker 1: front of me on the computer. Well, I get this
• 7:03
  Speaker 1: notification last night through X from Grok, the Grok bot. Hi, Mike.
• 7:08
  Speaker 1: I'm the Grok bot personal assistant. I'm your personal assistant.
• 7:12
  Speaker 1: Give me a try. I can do things for you. Well,
• 7:16
  Speaker 1: I said, okay. I'll tell you what. I signed up.
• 7:19
  Speaker 1: I linked my X account. I said, here's what I want.
• 7:21
  Speaker 1: I'm going to host election coverage Tuesday night. I want
• 7:26
  Speaker 1: a platform that gives me every mark in two minutes.
• 7:31
  Speaker 1: It found three different choices. It found the best one
• 7:35
  Speaker 1: was $ 15, which I happily paid, which, by the way,
• 7:37
  Speaker 1: it paid for me because it's now linked. Oh, shoot.
• 7:41
  Speaker 1: I know. I know. I give that thing access to
• 7:44
  Speaker 1: my bank. I know. You're braver than me. Well, what
• 7:47
  Speaker 1: it did was it has access to Stripe. which is
• 7:52
  Speaker 1: like an online payment portal that I do have an
• 7:55
  Speaker 1: account with. And it's got all supposedly protections built in,
• 7:58
  Speaker 1: but who knows? Look, when it all turns on is
• 8:00
  Speaker 1: it's over anyway. And it found me this perfect. And
• 8:04
  Speaker 1: now I've got my laptop all loaded up. And Tuesday night,
• 8:07
  Speaker 1: I've got house races, Senate races, gubernatorial races.
• 8:10
  Speaker 2: So what is the thing? What is the thing that
• 8:12
  Speaker 2: costs $ 15? What is or what was that? What is it?
• 8:16
  Speaker 1: Decision Desk Headquarters, DDHQ. Okay. And incidentally, anybody can get
• 8:22
  Speaker 1: it if you want to see it. It's $ 15 because
• 8:24
  Speaker 1: it's normally $ 30 and they give you a 50% discount
• 8:27
  Speaker 1: to start it.
• 8:28
  Speaker 2: And what is so– and pardon me for obsessing. What
• 8:31
  Speaker 2: is it that's so root and tootin' about that? Because
• 8:34
  Speaker 2: I could do the same thing, but it would take
• 8:35
  Speaker 2: me time. We'd go to 14 websites. It just consolidates
• 8:38
  Speaker 2: it and puts it right here.
• 8:39
  Speaker 1: This puts it on a dashboard, and it displayed it
• 8:42
  Speaker 1: in the way I want it displayed, and it's going
• 8:45
  Speaker 1: to be in real time. So Tuesday night, I'll have
• 8:47
  Speaker 1: my laptop in front of me here in our studios,
• 8:49
  Speaker 1: and I'll be able to see this. And you're right.
• 8:51
  Speaker 1: I mean, we would have found it eventually.
• 8:53
  Speaker 2: No, but it's time-consuming, and you've got to go through
• 8:55
  Speaker 2: a lot of things that aren't of any value to you.
• 8:57
  Speaker 2: It finds the best ones. Now, while your AI takes
• 8:59
  Speaker 2: your money, you know what mine's trying to do for me?
• 9:02
  Speaker 1: It's trying to take Rhonda's job, which I won't let
• 9:05
  Speaker 1: it do.
• 9:05
  Speaker 2: I have an email address, but here's how it plugs
• 9:09
  Speaker 2: into what she will do as the human being who
• 9:12
  Speaker 2: will forever be attached to me in this professional world.
• 9:15
  Speaker 2: It takes all the junk email, and I get more
• 9:18
  Speaker 2: junk and crap and garbage email than you can possibly imagine,
• 9:21
  Speaker 2: but it goes and finds the things that might be
• 9:23
  Speaker 2: pretty okay guest pitches and And it sends them to
• 9:26
  Speaker 2: me and says, hey, this looks like something you might do.
• 9:28
  Speaker 2: And it kind of sometimes is. But then it volunteers
• 9:33
  Speaker 2: to write an email asking for the booking.
• 9:36
  Speaker 1: Nope, nope, nope, nope.
• 9:38
  Speaker 2: I have a human being who does that. That will
• 9:40
  Speaker 2: always be her. Or in some instance where I'm just
• 9:43
  Speaker 2: sitting right there and want to do it on the fly,
• 9:44
  Speaker 2: it'll always be me. I'm never going to have— this is Muse,
• 9:47
  Speaker 2: the Facebook.
• 9:49
  Speaker 1: I'm totally fine. I'm totally fine with Muse sending an
• 9:52
  Speaker 1: email to a potential guest. I don't trust it. Tracy's
• 9:55
  Speaker 1: a bad speller. She doesn't like to write that stuff.
• 9:58
  Speaker 1: I don't trust it. This will be— I trust it. it.
• 10:00
  Speaker 1: I trust it. Trust in AI. Trust in our tech overlords.
• 10:06
  Speaker 2: Our robot overlords. And always thank them. Always thank them
• 10:10
  Speaker 2: after they do what they do. That's how stupid it is,
• 10:13
  Speaker 2: how I am. I get in there and say, thank
• 10:15
  Speaker 2: you so much. I thank Alexa in my stupid house.
• 10:17
  Speaker 1: Idiotic. I'm like... I hope I'm not annoying you with
• 10:21
  Speaker 1: asking you too many questions. I'm talking to an inanimate.
• 10:24
  Speaker 1: You have other things to do. Oh, my Lord. I
• 10:26
  Speaker 1: know you're busy. Well, the Grok bot says, I'll store
• 10:30
  Speaker 1: that on my computer. I'm thinking, oh, that's kind of
• 10:32
  Speaker 1: nice of you to store it on your computer. And
• 10:34
  Speaker 1: I'm thinking, oh, there's a person there with a computer.
• 10:38
  Speaker 1: I'm telling you, I'm losing my marbles. And I'm so grateful.
• 10:41
  Speaker 1: I said, well, thank you, bot. Do you want a raise?
• 10:43
  Speaker 1: Do you want a Christmas bonus now that you're my
• 10:46
  Speaker 1: new assistant? Let's talk quickly, Alaska. I'm so fascinated by it.
• 10:51
  Speaker 1: You want to talk about the bombshell of bombshells, the
• 10:53
  Speaker 1: mother of all bombshells. From the New York Times, the
• 10:56
  Speaker 1: New York Times. That's the bombshell. That's the bombshell. That's
• 11:01
  Speaker 1: the bombshell that the New York— you know, we always go
• 11:04
  Speaker 1: after the leftist mainstream media. But, Mark, if the New
• 11:08
  Speaker 1: York Times is willing to— first of all, that's how bad
• 11:10
  Speaker 1: it is. But second of all, the Times didn't have
• 11:12
  Speaker 1: to run with this. Nope. And good for them. Good
• 11:15
  Speaker 1: for them. They probably doomed her candidacy. They probably put
• 11:19
  Speaker 1: an end to it now because of the shenanigans. The
• 11:21
  Speaker 1: extra dance seconds on what it is.
• 11:23
  Speaker 2: Democrat Mary Peltola is running against incumbent Republican Dan Sullivan.
• 11:28
  Speaker 2: There's another guy named Dan Sullivan on that stupid ranked
• 11:31
  Speaker 2: choice voting ballot, which will confuse people and might might
• 11:34
  Speaker 2: sort of dilute. the number of votes that the real
• 11:37
  Speaker 2: Dan Sullivan gets. And so that looked like mischief. Now
• 11:40
  Speaker 2: it appears that it was Democrat mischief from her campaign
• 11:44
  Speaker 2: that went and found the guy to put on the ballot.
• 11:47
  Speaker 1: And according to the New York Times, the campaign, the candidate, her,
• 11:51
  Speaker 1: and the party knew full well what they were doing.
• 11:53
  Speaker 1: They went out and canvassing for any other Dan Sullivans
• 11:57
  Speaker 1: they could find, and they paid the $ 10, 000 fee it
• 12:00
  Speaker 1: cost to get on the ballot. It's cheating. They don't
• 12:04
  Speaker 1: win unless they cheat. And Victor Davis Hanson, when I
• 12:07
  Speaker 1: was watching the brilliance of Mark Davis, then I flipped
• 12:10
  Speaker 1: over and watched the brilliance of Victor Davis Hanson, who
• 12:12
  Speaker 1: pointed out on Fox, they wouldn't have to pull stunts
• 12:15
  Speaker 1: like this. If their message was popular with the American people.
• 12:19
  Speaker 1: Of course. They're resorting to these kinds of high school antics,
• 12:24
  Speaker 1: proving how little confidence they have in their agenda.
• 12:27
  Speaker 2: Ta-da.
• 12:27
  Speaker 1: Mr. Davis, there it is. All right. If you missed
• 12:30
  Speaker 1: Mark last night on CNN, Eminem Extra, today, noon Eastern,
• 12:34
  Speaker 1: 11 Central, on YouTube, Apple, Spotify, please like, subscribe. And
• 12:38
  Speaker 1: by the way, I think we're like 200 people away
• 12:41
  Speaker 1: from getting to 5,000 subscribers on YouTube. Let's do this now.
• 12:44
  Speaker 1: Come on, let's do it today. Right now. Come on.
• 12:47
  Speaker 2: Go to YouTube, M & M Extra. Click it, like it,
• 12:50
  Speaker 2: subscribe to it. Let's make it 5K day, at least
• 12:53
  Speaker 2: today or before the week is over.
• 12:54
  Speaker 1: Let's do it today. I have faith in your audience.
• 12:57
  Speaker 1: If they love what you do and love what I
• 12:58
  Speaker 1: do and they appreciate you playing lame with your bum knee,
• 13:02
  Speaker 1: come on. Do it for Mark. Do it for the Gipper.
• 13:05
  Speaker 1: Go to YouTube. Do it for the Gipper. M &
• 13:07
  Speaker 1: M Extra. Please subscribe to our YouTube channel. We're like
• 13:10
  Speaker 1: 200 people away from getting to 5,000 subscribers. It's going
• 13:13
  Speaker 1: to be a 5K Thursday. I just feel it. We'll
• 13:16
  Speaker 1: see you there.