Doritos Mistake: AI Gun-Alert Sparks Armed Police Showdown

Doritos Mistake: AI Gun-Alert Sparks Armed Police Showdown

Hosts Dave and Leonard discuss the week’s biggest stories: the federal shutdown delaying SNAP benefits, an AI gun-detection error that led to a Baltimore teen being handcuffed, and sweeping federal indictments tying NBA figures to illegal gambling and mob-run poker schemes.

They also cover Target’s major layoffs after consumer boycotts over DEI changes, explore a psychologist’s take that no siblings share the same upbringing, and share personal concerns about AI’s impact on jobs, safety, and creativity.

Listeners get a clear, conversational roundup of news, community impact, and the hosts’ personal takes and reactions.


00:00:11 --> 00:00:18 Get ready for another edition of News and Trends with your host, Dave and Lynn.
00:00:28 --> 00:00:31 Welcome, welcome, welcome to News and Trends with Dave and Len.
00:00:32 --> 00:00:36 This is one of your hosts, Mr. David Coker, proprietor of Dave Mark Inc.,
00:00:36 --> 00:00:42 promoter, event planner, and all-around good guy, hanging out with my partner, Mr. Leonard Young.
00:00:42 --> 00:00:47 And we all want you guys to remember that you can catch us along with other
00:00:47 --> 00:00:50 great shows on the MBG Podcast Network.
00:00:52 --> 00:00:56 And also, for those people who don't get a chance to listen to us during the week,
00:00:56 --> 00:01:04 You can check us out on Saturday mornings As our show always replays At 10 o'clock
00:01:04 --> 00:01:12 on Internet Radio 101.5 The Fever With DJ Riz And his partner, Mr.
00:01:12 --> 00:01:18 Bobby Keys Make sure you check us out on Saturdays In case you miss us during
00:01:18 --> 00:01:23 the week And so we'll give you plenty of opportunities To be able to catch our
00:01:23 --> 00:01:26 show What's going on, Mr. Leonard Young? How's everything?
00:01:26 --> 00:01:31 Hey, Dave, everything is good. This is Leonard Young, CEO of National Black
00:01:31 --> 00:01:38 Guide, DelawareBlack.com, black media expert, all-around good guy. How goes it, David?
00:01:38 --> 00:01:43 I can't complain, man. No, I won't complain. Well, there's so many things I
00:01:43 --> 00:01:45 can't complain about. I know, right?
00:01:45 --> 00:01:49 Yeah, I think you know the thing. Yeah, I know. Pick one. I know.
00:01:50 --> 00:01:52 Remember the game, Pick Up Sticks?
00:01:52 --> 00:01:56 Hmm? Yeah, you know how you would start the game. and you will hold them up
00:01:56 --> 00:01:57 and then just drop them. Yeah.
00:01:58 --> 00:02:03 You know, that's basically the world we're in right now, just like in a big
00:02:03 --> 00:02:05 game of pickup sticks right now, you know.
00:02:05 --> 00:02:09 Yeah, sticks all over the place. Yeah, all over the place, man,
00:02:09 --> 00:02:11 all over the game, all over the place, yeah.
00:02:11 --> 00:02:14 But everything is good, man. I can't complain.
00:02:15 --> 00:02:21 Another weekend flew by, and you can tell we're actually in the fall now because
00:02:21 --> 00:02:22 the weather definitely has changed.
00:02:23 --> 00:02:27 It's gotten cooler and I don't know. What do you think? Are we going to get some snow this year?
00:02:28 --> 00:02:31 You know, Dave, I don't know. You know, I hear people talking all different
00:02:31 --> 00:02:35 types of stuff. Since we had a cold, cold winter last year, they're saying it won't be as bad.
00:02:36 --> 00:02:40 And I heard someone say we got a lot of snow last year. I personally did not
00:02:40 --> 00:02:41 feel like it was a lot of snow.
00:02:41 --> 00:02:46 So I don't know if that means I'm going to get a lot this year or not.
00:02:46 --> 00:02:50 But, you know, whatever it is, I'm going to let it come whenever it comes.
00:02:50 --> 00:02:52 And I'm not going to speak it into existence.
00:02:53 --> 00:02:57 There you go. There you go. Well, it wasn't that it was a lot of snow.
00:02:57 --> 00:02:59 But what it was, it was more snow than we'd been getting.
00:03:00 --> 00:03:07 That's what it was. And so that's it. And so I just think that's what caused
00:03:07 --> 00:03:13 people to say that. It's because, you know, we might get one or two snows a
00:03:13 --> 00:03:15 year, and it's not that big.
00:03:15 --> 00:03:23 I think we just had a way, you know, unusual amount of snow days that last year,
00:03:23 --> 00:03:27 but nothing that was really super, super, super big, you know.
00:03:27 --> 00:03:30 So we haven't had anything super big.
00:03:30 --> 00:03:33 Well, we don't want to talk about that. Anyway, don't jinx us.
00:03:33 --> 00:03:38 You know, we'll mess around, have a blizzard and then knock over.
00:03:39 --> 00:03:42 Yeah, that's right. Yeah. Yeah. So we're not going to talk about that.
00:03:44 --> 00:03:50 Anyway, other than that, of course, the big talk, the big talk is the,
00:03:50 --> 00:03:56 the big talk is the, this whole thing, like, my job, my job is to,
00:03:57 --> 00:04:00 you know, as I work for the Division of Social Services,
00:04:00 --> 00:04:04 you know, of course, right now, for those who haven't heard,
00:04:05 --> 00:04:12 you know, they, the federal government shutdown has caused the food benefits
00:04:12 --> 00:04:18 to And the SNAP benefits will be held up for the month of November.
00:04:20 --> 00:04:23 People will not be getting SNAP benefits. So that's all that,
00:04:23 --> 00:04:26 you know, of course, that's a big thing, especially where I work,
00:04:27 --> 00:04:29 because we have a lot of people who depend on that.
00:04:31 --> 00:04:36 And, of course, nobody wants to hear that you're not going to get your food
00:04:36 --> 00:04:38 benefits during the month of November, especially.
00:04:39 --> 00:04:42 You know so you know so it's
00:04:42 --> 00:04:45 kind of a bad timing for this to be happening and a
00:04:45 --> 00:04:48 lot of people are pretty upset about it so you know
00:04:48 --> 00:04:51 when i have to sit there and tell somebody who
00:04:51 --> 00:04:55 doesn't know i had to tell the day who
00:04:55 --> 00:05:01 older lady she's in her 60 late 60 and she doesn't listen you know she doesn't
00:05:01 --> 00:05:06 listen to the news and she's not on social media right and so i told her that
00:05:06 --> 00:05:12 i told her the devil's gone on you know she was like.
00:05:13 --> 00:05:16 What are you telling me i'm not getting food benefits and i
00:05:16 --> 00:05:20 said yeah i said not just you nobody you know
00:05:20 --> 00:05:23 and she you know man she turned
00:05:23 --> 00:05:26 red and started crying she said
00:05:26 --> 00:05:28 what am i supposed to do and i was like i was feeling so bad
00:05:28 --> 00:05:33 that i was like okay calm down calm down you know there's options there's things
00:05:33 --> 00:05:38 and that people are doing and you know we got food banks and so forth she said
00:05:38 --> 00:05:41 she said well will they be able to accommodate you i said yeah a lot of the
00:05:41 --> 00:05:44 food banks are going to have turkeys and stuff like that, you know,
00:05:45 --> 00:05:46 trying to help people out.
00:05:46 --> 00:05:49 And, you know, there's places that are giving out whole Thanksgiving dinners
00:05:49 --> 00:05:51 and all of that, you know.
00:05:51 --> 00:05:54 So she was like, I just can't believe this is happening.
00:05:55 --> 00:06:00 And she said, I want to take a trip to D.C. and then she stopped.
00:06:02 --> 00:06:06 I said, yeah, keep that thought to you. I said, you might want to keep that thought to yourself.
00:06:06 --> 00:06:11 I don't need to do what they do, you know. right right she's about going to
00:06:11 --> 00:06:16 shopping yeah yeah yeah so but anyway,
00:06:18 --> 00:06:22 Yeah, so, you know, it's been kind of interesting with all that's been going
00:06:22 --> 00:06:24 on, especially dealing with that.
00:06:26 --> 00:06:32 And it's not going to get any more quieter because as long as the time goes
00:06:32 --> 00:06:36 and as close as it gets to that particular holiday, you know,
00:06:36 --> 00:06:38 the more we're going to hear people.
00:06:38 --> 00:06:44 I did see something online that DoorDash was talking about helping people out
00:06:44 --> 00:06:49 by making trips to the, you know, if people need things from the food banks
00:06:49 --> 00:06:53 and whatever, that they'll have Dash's pick up their stuff and bring it to them for free.
00:06:54 --> 00:07:01 And no, you know, no service fees or any of that kind of stuff, they said.
00:07:01 --> 00:07:04 How will they know who really needs it?
00:07:05 --> 00:07:11 Well, I mean, I guess they have a special setup for people to go ahead and,
00:07:11 --> 00:07:15 you know, order from the food banks the stuff that they need.
00:07:16 --> 00:07:20 And, you know, I guess they're not going to really discriminate because,
00:07:21 --> 00:07:24 I mean, the people don't have to share their information with them, letting them know.
00:07:25 --> 00:07:28 You know, but I mean, if somebody is sending somebody to the food bank,
00:07:29 --> 00:07:31 I guess they're going to assume that that person is being legit,
00:07:32 --> 00:07:38 you know. So I just read that today that this is something that they plan to do.
00:07:38 --> 00:07:42 So if that's, you know, if that's what they plan to do, and it is something
00:07:42 --> 00:07:45 that can help out, I think that's a great idea.
00:07:45 --> 00:07:49 Yeah, no, I mean, I definitely agree because, you know, people are going to
00:07:49 --> 00:07:53 have to decide what to spend their money on. If it's going to be food or gas,
00:07:53 --> 00:07:59 food or rent, you know, so, I mean, I think anything that's one less decision.
00:08:00 --> 00:08:06 Yep, there you go. Yeah, there you go. So, but, you know, I guess over the next
00:08:06 --> 00:08:09 few weeks, we'll keep you posted, folks, on what's going on with that.
00:08:09 --> 00:08:17 But I guess I'll be your reporter for that, you know, as the snap benefit turns. That's, you know.
00:08:17 --> 00:08:20 Dave, you want to take us live on the job?
00:08:21 --> 00:08:25 I don't know. We might have to go live. You know, I have to see the people.
00:08:26 --> 00:08:30 You might see one of them videos posted on Instagram or TikTok where the people
00:08:30 --> 00:08:33 in the lobby having a, you know, conversation with each other.
00:08:34 --> 00:08:36 Right. You know, you never know.
00:08:37 --> 00:08:43 But anyway, so outside of that, I guess we got a few stories to talk about.
00:08:43 --> 00:08:46 So I guess we'll go ahead and get started with the show.
00:08:48 --> 00:08:54 And here we are talking about our good old buddy, AI. So our first story has to do with AI.
00:08:55 --> 00:09:00 And it says, this story says, I was just holding a Doritos bag.
00:09:00 --> 00:09:09 AI made a mistake, which leads to armed police confrontation with a Baltimore teenager.
00:09:10 --> 00:09:17 So AI, or artificial intelligence, has slowly cemented its place in society
00:09:17 --> 00:09:23 through its ability to create hyper-realistic deep-fake videos, songs, pictures,
00:09:24 --> 00:09:29 gather information in record time, and assist with daily tasks.
00:09:30 --> 00:09:36 However, beyond the funny AI trends on social media, law enforcement is also used in technology.
00:09:37 --> 00:09:40 While some could see this as evolution,
00:09:41 --> 00:09:49 See this as evolution, as revolutionary, just as AI platforms flag that they make errors.
00:09:49 --> 00:09:59 These systems can cause errors in law, sorry, in law enforcement that could.
00:10:00 --> 00:10:07 Sometimes damaged communities, these officers are supposed to protect and serve.
00:10:07 --> 00:10:18 This week in Baltimore, Maryland, 16-year-old Taki Allen was approached by officers with guns drawn,
00:10:19 --> 00:10:27 handcuffed, and searched because an AI system mistook his hand holding a bag of chips for a weapon.
00:10:27 --> 00:10:32 While sitting outside, Kenwood High School waiting to be picked up,
00:10:32 --> 00:10:34 Allen was eating a bag of Doritos.
00:10:35 --> 00:10:38 Twenty minutes later, after finishing the tips,
00:10:39 --> 00:10:44 the high school student was confused when a flock of police officers approached
00:10:44 --> 00:10:51 him and his friends with their guns drawn.
00:10:51 --> 00:10:56 It was like eight cop cars that came pulling up for us. That's usually what
00:10:56 --> 00:10:59 happens, right? It's about 15 cars and pull up.
00:10:59 --> 00:11:04 At first, I didn't know where they were going until they started walking towards
00:11:04 --> 00:11:09 me with the guns, talking about get on the ground. And I was like, what?
00:11:10 --> 00:11:13 Alan told WBAL-TV.
00:11:14 --> 00:11:24 The 16-year-old continued, they made me get on my knees, put my hands behind my back, and cuffed me.
00:11:25 --> 00:11:28 Then they searched me and figured out I had nothing.
00:11:29 --> 00:11:33 Then they went over to where I was standing and found a bag of chips on the
00:11:33 --> 00:11:36 floor. I was just holding a Doritos bag.
00:11:37 --> 00:11:41 It was, let's see, it was...
00:11:42 --> 00:11:50 That's what he was saying. Hands and one finger out, and they said it looked like a gun.
00:11:51 --> 00:11:57 Officer later informed Allen that the way he was holding the bag of tips triggered
00:11:57 --> 00:12:00 the school's AI gun detection system,
00:12:01 --> 00:12:07 Omni Alert, which automatically alerted law enforcement and the school's administration.
00:12:08 --> 00:12:09 Wow, that's crazy.
00:12:10 --> 00:12:14 The program is based on human verification, and in this case,
00:12:14 --> 00:12:16 the program did what it was supposed to do,
00:12:17 --> 00:12:24 which was to single an alert and for humans to take a look to find out if there
00:12:24 --> 00:12:26 was a cause for concern in that moment.
00:12:27 --> 00:12:32 Superintendent Dr. Miriam Rogers told WMAR News.
00:12:34 --> 00:12:39 However, Alan, like many parents who learned about the incident later,
00:12:40 --> 00:12:47 is not convinced and no longer feels safe in one of the few places children should feel safe.
00:12:47 --> 00:12:52 I don't think no chip bag should be mistaken for a gun at all, Alan explained.
00:12:52 --> 00:12:58 I was suspecting them, the high school administrators, to at least come up to
00:12:58 --> 00:13:00 me after the situation on the day after.
00:13:00 --> 00:13:08 But three days later, that just shows, like, do you really care or are you just
00:13:08 --> 00:13:10 doing it because the superintendent called me?
00:13:10 --> 00:13:17 Now I feel like sometimes after practice, I don't go outside anymore.
00:13:17 --> 00:13:24 If I go outside, I don't think it's safe enough to go outside,
00:13:24 --> 00:13:29 especially eating a bag of chips or drinking something.
00:13:29 --> 00:13:34 So I just stay inside until my ride comes.
00:13:36 --> 00:13:42 So this is where we are now. The technology is a great thing to have.
00:13:42 --> 00:13:44 I understand why they have it.
00:13:45 --> 00:13:49 There's a lot of stuff going on in these schools right now. And it's depending
00:13:49 --> 00:13:52 on what schools that they may be attending.
00:13:53 --> 00:14:01 But how can a mistake be made that bad that would cause, you know,
00:14:01 --> 00:14:05 eight cop cars to pull up at one time for one little kid?
00:14:06 --> 00:14:11 And then, and then, keep in mind, this is a black young man.
00:14:12 --> 00:14:15 Do we think that would happen with every child?
00:14:16 --> 00:14:23 I mean, could the AI be racial profiling? Oh, I'm sure about that.
00:14:25 --> 00:14:31 I'm sure it runs numbers and some statistics based on skin color.
00:14:33 --> 00:14:37 And probably be thinking to itself, but it's a black kid because there's more
00:14:37 --> 00:14:41 probability that this kid might have a gun than if it was a white kid.
00:14:42 --> 00:14:43 Yep, I'm sure.
00:14:45 --> 00:14:49 And that's what I'm thinking too I'm thinking the same thing You know,
00:14:49 --> 00:14:54 it's running the numbers It's running whatever the dialogue would be The breakdown
00:14:54 --> 00:14:57 As far as the AI Or analyst,
00:14:59 --> 00:15:06 Data To be able to try to figure out Okay, there's a high probability That this
00:15:06 --> 00:15:08 kid might have some type of weapon,
00:15:09 --> 00:15:16 If I was the parent of this child I would be talking to Benjamin Crump for somebody.
00:15:16 --> 00:15:17 We always think about that.
00:15:18 --> 00:15:26 Trying to get a payday. Yeah, because, I mean, that could be traumatizing to a young person.
00:15:26 --> 00:15:29 It depends on how strong that person may be. But you imagine sitting,
00:15:30 --> 00:15:33 you know, you've just seen all kinds of TV shows, you've heard all kinds of
00:15:33 --> 00:15:38 stuff during the pandemic and prior to the pandemic.
00:15:39 --> 00:15:44 Look at me, young people were getting shot and killed. Mm-hmm. Okay? By police.
00:15:45 --> 00:15:50 You know, I'm sure this kid has probably said to himself, he probably was thinking
00:15:50 --> 00:15:53 to himself, am I going to die this day or what?
00:15:54 --> 00:15:55 You know, over a bag of Doritos.
00:15:58 --> 00:16:02 So what's your thoughts? What are you thinking here? I mean,
00:16:02 --> 00:16:09 I think that's really weird just because, and this was the first time I was hearing that story.
00:16:09 --> 00:16:12 I had not heard it before. You hadn't heard it? Oh, okay.
00:16:13 --> 00:16:17 But, you know, just the fact, the way he was holding his hand,
00:16:18 --> 00:16:21 which, you know, Dave, I mean, it may not be a bad thing, but
00:16:21 --> 00:16:25 you know that it definitely needs some work because
00:16:25 --> 00:16:28 i'm just trying to think i mean i can imagine how he
00:16:28 --> 00:16:33 may have been holding it that triggered but you would think before they had
00:16:33 --> 00:16:37 all those police officers show up there would have been like a backup you know
00:16:37 --> 00:16:43 like in my mind it's like okay it triggers it which calls for a real set of
00:16:43 --> 00:16:45 eyes to be on it to kind of confirm.
00:16:46 --> 00:16:47 Because, I mean, shoot,
00:16:48 --> 00:16:54 what happens if there's 20 black kids walking through the door with the bags
00:16:54 --> 00:16:56 of Doritos in their hand?
00:16:56 --> 00:16:58 They probably send the whole police department up there.
00:16:59 --> 00:17:04 Yeah, they probably send SWAT man or the National Guard or whatever.
00:17:04 --> 00:17:08 We know what a certain person would do. He'd send the National Guard in. Right.
00:17:09 --> 00:17:13 So, no, if anything, the AI thing, I think it should alert.
00:17:14 --> 00:17:20 Also, you know, if it's alerting the authority, it should also alert the principal
00:17:20 --> 00:17:27 of the school as well and have that person or have whoever is responsible for
00:17:27 --> 00:17:31 truancy or something like that or whoever the.
00:17:32 --> 00:17:38 I don't want to always kid a lot of always called these guys the bouncers but the,
00:17:39 --> 00:17:43 enforcers or the what they call them, the Thank you.
00:17:44 --> 00:17:49 What's the name that they call those guys who are the behavior?
00:17:50 --> 00:17:54 Adjointes, guardians, angels. Behavior specialists. Oh, okay.
00:17:54 --> 00:18:00 Yeah, yeah. So I have them come and see what the situation is, you know.
00:18:00 --> 00:18:07 But to assume that this kid had a gun, you know, I can imagine seeing something
00:18:07 --> 00:18:10 like that happen to me, you know. And I'll be like, wait, hold on.
00:18:11 --> 00:18:14 I don't have anything. And, of course, you can't make any sudden moves.
00:18:15 --> 00:18:17 Because we know what they're going to do, you know.
00:18:19 --> 00:18:23 You know, thank God the bag was, of course, he didn't think to throw the bag
00:18:23 --> 00:18:26 away. So, of course, he said it was on the ground.
00:18:26 --> 00:18:29 So, thank God it was still there.
00:18:32 --> 00:18:37 But I definitely would be talking to somebody legally, you know,
00:18:37 --> 00:18:41 because, you know, when you think about this type of technology,
00:18:41 --> 00:18:49 you know, So I think, what, we did a story not too long ago where AI made a
00:18:49 --> 00:18:52 mistake in identifying somebody who ended up going to jail.
00:18:53 --> 00:18:58 This is, you know, I mean, it's great to have this technology,
00:18:58 --> 00:19:03 but we have to make sure the technology is working correctly. Right. You know.
00:19:04 --> 00:19:06 And if it's new, it has to be vetted.
00:19:07 --> 00:19:10 Yeah. You can't just be the end all. Well, because, you know,
00:19:10 --> 00:19:15 that could have been another, like, Trey Ryan Martin, you know, got shot.
00:19:15 --> 00:19:18 Yeah, that's right. Yeah. So...
00:19:20 --> 00:19:29 I'm glad that nothing happened as far as when I first read this story,
00:19:30 --> 00:19:33 the first thing that came to my mind was, yeah,
00:19:33 --> 00:19:38 but did AI catch the kid walking right past the technology with the AK?
00:19:43 --> 00:19:46 Who knows? There might be a kid walking around that school with AK,
00:19:47 --> 00:19:50 and they probably never even checked that kid. Right.
00:19:50 --> 00:19:53 Because they don't look like this kid.
00:19:53 --> 00:19:57 So, you know. The usual suspect. Yep, that's right.
00:19:58 --> 00:20:03 But hopefully they get that right. And before they put it in all the schools,
00:20:03 --> 00:20:07 we got to figure out if it's going to work the way we need it to work.
00:20:07 --> 00:20:10 So I'm not
00:20:10 --> 00:20:14 going to get I want to talk about it because it's unique
00:20:14 --> 00:20:17 in what it's done
00:20:17 --> 00:20:25 with kind of combining two different worlds and bringing them together because
00:20:25 --> 00:20:31 of what has happened you know as far as the bottom line goes as far as the money
00:20:31 --> 00:20:34 and who's involved in the money,
00:20:35 --> 00:20:46 kind of rock the nba where a hall of fame coach good ball player rozier what's
00:20:46 --> 00:20:50 happening i have no idea let me pause it real quick.
00:20:52 --> 00:20:55 Okay. All right. We had a little technical difficulty there,
00:20:55 --> 00:20:58 folks. Sorry about that. But we're back.
00:20:58 --> 00:21:02 So but anyway, I was talking in reference to the big scandal and reference to
00:21:02 --> 00:21:07 the basketball and these illegal poker games that were going on.
00:21:07 --> 00:21:12 And I just want to kind of give you a little backdrop to what is going on.
00:21:13 --> 00:21:18 So here we go. Let me just read a little bit of this to kind of give you the
00:21:18 --> 00:21:22 backdrop to what is happening. Because a lot of people don't really understand
00:21:22 --> 00:21:25 how all of this is connected to each other.
00:21:26 --> 00:21:30 And I thought I'd share this information. Because there's going to be a lot
00:21:30 --> 00:21:33 of big names that's going to come out.
00:21:33 --> 00:21:38 And, you know, they're alluding to people like LeBron. Oh, wow.
00:21:39 --> 00:21:44 Yeah, yeah. They talked about LeBron and some Antoine Davis.
00:21:44 --> 00:21:49 So, you know. How about I say, so Dave, we have a lot of these people escape the ditty.
00:21:51 --> 00:21:55 Associations. Right. He caught up in the gambling association. Yeah, yeah, yeah.
00:21:55 --> 00:22:00 And they're saying that, you know, like Chauncey Billups apparently gave a bunch
00:22:00 --> 00:22:03 of names of people that were involved and there's going to be some big names
00:22:03 --> 00:22:06 involved and they said, remember Gilbert Arenas?
00:22:06 --> 00:22:09 Mm-hmm. Yeah. He's a podcaster, you know, also.
00:22:09 --> 00:22:13 But they said he also snitched on a bunch of people because he got picked up.
00:22:13 --> 00:22:17 I saw that. Yeah, yeah. So, but here's the backdrop.
00:22:17 --> 00:22:24 It says according to the federal indictments. Fortin Trail Blazer coach Chauncey Billups,
00:22:25 --> 00:22:32 Miami Heat Terry Rozier, and former NBA player Damon Jones were among more than
00:22:32 --> 00:22:35 30 people charged in two separate gambling schemes.
00:22:35 --> 00:22:42 The legal operations which allegedly involved mafia family members of families,
00:22:42 --> 00:22:51 including rigging poker games and a sports betting ring that uses insider information
00:22:51 --> 00:22:55 from NBA figures to profit from prop bets.
00:22:56 --> 00:22:59 And what's so interesting about this, Leonard, is that, you know,
00:22:59 --> 00:23:03 everybody keeps saying, why would they do this when they make millions and millions of dollars?
00:23:04 --> 00:23:11 Like, this is money that they can kind of filter, you know, in smaller amounts. Yeah, tax-free.
00:23:12 --> 00:23:14 Yeah, you know what I'm saying? Yeah, so.
00:23:14 --> 00:23:16 It says the key details of the investigation.
00:23:17 --> 00:23:21 It says the sports betting scheme. According to prosecutors,
00:23:21 --> 00:23:26 Miami Heat guard Terry Rozier, a former NBA player and coach Damon Jones,
00:23:26 --> 00:23:28 were part of the illegal sports betting conspiracy.
00:23:29 --> 00:23:34 They are accused of using non-public information such as players' injuries or
00:23:34 --> 00:23:37 which players would sit out to make fraudulent wages.
00:23:38 --> 00:23:41 It said Rozier's alleged role.
00:23:41 --> 00:23:51 The indictment states that in March 2023, Rozier told a co-conspirator he would
00:23:51 --> 00:23:55 exit a game with the Charlotte Hornets early due to an injury.
00:23:55 --> 00:24:04 The co-conspirator then allegedly sold that information to others who placed
00:24:04 --> 00:24:08 prop bets on Rozier's understatistics.
00:24:08 --> 00:24:14 Jones' alleged role, Jones, a former friend and teammate of LeBron James,
00:24:14 --> 00:24:21 is accused of providing insider information to betters about when James would
00:24:21 --> 00:24:25 not play in a February 2023 game.
00:24:26 --> 00:24:27 Oh, man, this is messy.
00:24:28 --> 00:24:30 The rigged poker game.
00:24:32 --> 00:24:36 A separate indictment charged 31 people, including Billups and Jones,
00:24:37 --> 00:24:42 were running an illegal poker ring with ties to organized crime.
00:24:42 --> 00:24:44 It's a high-tech cheating.
00:24:45 --> 00:24:52 The scheme allegedly used high-tech equipment such as modified shuffling machines.
00:24:53 --> 00:24:55 These guys wasn't playing, Leonard. I'm sorry. Wasn't playing.
00:24:56 --> 00:25:04 They had modified shuffling machines and an x-ray poker table to keep victims
00:25:04 --> 00:25:07 out of millions of dollars.
00:25:08 --> 00:25:11 And the x-ray poker tables, they showed the devices. You know,
00:25:11 --> 00:25:15 you could see the cards underneath. You could see the faces of the cards and everything.
00:25:16 --> 00:25:22 That celebrity lords Billups and Jones were allegedly used as face cards or
00:25:22 --> 00:25:26 not, you know, to attract high-stake players to these rigged games.
00:25:26 --> 00:25:31 Now, the organized crime involvement, it says member of the New Yorks,
00:25:31 --> 00:25:36 Bonanno, Gambino, Genovese, and Lucchese.
00:25:36 --> 00:25:40 Now, you heard all these names before, right? Yeah, right.
00:25:40 --> 00:25:44 You know, these ain't no jokes, right? You know, the families were allegedly
00:25:44 --> 00:25:47 involved in the rig poker operation.
00:25:47 --> 00:25:51 Other implicated NBA figures, while not charged in both cases,
00:25:51 --> 00:25:56 the indictments referred to unnamed co-conspirators who matched the description
00:25:56 --> 00:26:00 of Billups and other players who provided insider information.
00:26:00 --> 00:26:03 To the league response.
00:26:04 --> 00:26:09 The NBA placed both Billups and Rozier on immediate leave and issued a memo
00:26:09 --> 00:26:12 to all 30 teams addressing the dire risks of gambling.
00:26:12 --> 00:26:19 The league has stated it will review its policies regarding injury reporting and player education.
00:26:20 --> 00:26:26 The legal impact, these federal indictments followed the 2018 Supreme Court
00:26:26 --> 00:26:31 decision that opened the door to widespread legal sports betting.
00:26:32 --> 00:26:39 Prosecutors said the case is one of the most significant sports corruption schemes since then.
00:26:40 --> 00:26:45 You know, I'm going to stop right there. So, you know, without getting too deep
00:26:45 --> 00:26:47 into names, but names are coming out.
00:26:47 --> 00:26:53 There was a referee, a longtime ref that they have implicated in this.
00:26:54 --> 00:26:58 There's a bunch of players. They said the names are probably going to be released
00:26:58 --> 00:26:59 over the next few days or so.
00:27:00 --> 00:27:03 But I'm telling you, this is big. This is big.
00:27:04 --> 00:27:08 And, you know, there's been a couple of players that have already been suspended.
00:27:08 --> 00:27:12 There's a guy named Jontae Porter that was suspended last year for the whole
00:27:12 --> 00:27:14 season for sports betting.
00:27:14 --> 00:27:18 But this is all tied together. All of this stuff is tied together.
00:27:18 --> 00:27:21 So this is really, really big.
00:27:22 --> 00:27:29 And when you look at one thing, all these guys are tied to the sports betting.
00:27:29 --> 00:27:36 You see the ads for DraftKings, FanDuel, And then you got MGM Grand,
00:27:37 --> 00:27:38 you know, with the betting.
00:27:38 --> 00:27:46 And, you know, you see all these celebrities like Kevin Hart and Jamie Foxx and all of them.
00:27:47 --> 00:27:50 Yeah, Drewski. All these people are pushing these things.
00:27:51 --> 00:28:00 So when you have a player who, you know, you're told, hey, you do this and you
00:28:00 --> 00:28:05 let me know who else is not playing. and I'll give you $500 under the table.
00:28:07 --> 00:28:11 Hey, that's what they're doing. And they're running these illegal poker games
00:28:11 --> 00:28:17 and these high-stake poker games, and they're cleaning up that way,
00:28:17 --> 00:28:19 and they got the mob backing on it.
00:28:21 --> 00:28:24 Yeah, that's going to be deep. But, you know,
00:28:24 --> 00:28:29 I wonder they may be associated with these gambling apps, too, because, you know,
00:28:29 --> 00:28:34 I mean, I'm sure all these apps want to get money and they want all the insider
00:28:34 --> 00:28:43 information so they can put their wages correctly or incorrectly and benefit off of it.
00:28:43 --> 00:28:49 Yeah, yeah, I'm sure. I'm sure because, I mean, you know, betting right now,
00:28:49 --> 00:28:50 man, it's all over the place.
00:28:50 --> 00:28:56 They, you know, when you can go into a store and bet on your football,
00:28:56 --> 00:29:00 basketball, baseball, I mean, you can bet on everything right now.
00:29:01 --> 00:29:04 You know, hockey, soccer, I mean, anything, you know.
00:29:05 --> 00:29:09 And, you know, this is big business, man.
00:29:09 --> 00:29:13 And, you know, what's stopping young people?
00:29:14 --> 00:29:18 What's stopping NBA players? What's stopping football players?
00:29:19 --> 00:29:22 Maybe they're not, you know, you'd be dumb to use your own name or whatever
00:29:22 --> 00:29:27 the case may be. But you can get your cousin or you can get your boy to go place
00:29:27 --> 00:29:31 these bets for you and just say, hey, look, you know, I'll put up the money.
00:29:32 --> 00:29:39 You place the bets and, you know, you get, you know, a certain amount of whatever we make. Right.
00:29:40 --> 00:29:43 You know, so and I'm sure a lot of that goes on. I'm sure.
00:29:44 --> 00:29:50 So but I just wanted to give a backdrop because a lot of people was like they
00:29:50 --> 00:29:54 didn't understand what was going on with this thing but this thing is big man
00:29:54 --> 00:29:57 and if you're messing with those families you.
00:30:00 --> 00:30:05 So those four families have been some of the biggest mafia families ever.
00:30:07 --> 00:30:13 So, look, when you look at anything, look, I watched The Godfather of Harlem,
00:30:13 --> 00:30:19 which is about Bumpy Johnson, you know, the drug king from Harlem.
00:30:20 --> 00:30:25 Every last one, those four families are very prominent in that show,
00:30:25 --> 00:30:29 Godfather of Harlem. Every last one of those families I mentioned,
00:30:29 --> 00:30:31 they talk about all of them, you know?
00:30:31 --> 00:30:35 So, and they, you know, he had to deal with all of them. So,
00:30:35 --> 00:30:38 yeah. My other question real quick is.
00:30:39 --> 00:30:43 They are naming the black players specifically.
00:30:43 --> 00:30:46 Why are they not naming some of these mafia members specifically?
00:30:47 --> 00:30:50 You know, I mean, because, I mean, if they want to do that, they could just
00:30:50 --> 00:30:53 say NBA players, NBA coaches.
00:30:54 --> 00:30:59 But, you know, I feel like they are very focused on calling these people out specifically.
00:31:00 --> 00:31:03 Because they got all the money, Leonard. They're the ones making all of it.
00:31:03 --> 00:31:09 I mean, look, who do you think is the highest-paid white player in the NBA right
00:31:09 --> 00:31:11 now? Just off the top of your head.
00:31:11 --> 00:31:15 I have no idea. See? There you go. That's what I'm saying.
00:31:15 --> 00:31:19 Now, if it was 30 years ago, you probably would have said Larry Bird,
00:31:19 --> 00:31:22 right? Right. Right off the top of your head, you know, because that's the most
00:31:22 --> 00:31:23 popular white guy at the time.
00:31:24 --> 00:31:30 But right now, you would have to know basketball in order to answer that question.
00:31:30 --> 00:31:34 And it's probably Luka, you know, that plays with the Lakers.
00:31:34 --> 00:31:36 So I'm not talking about the players.
00:31:36 --> 00:31:40 I'm talking about why are they not mentioning, when they say Genovese family,
00:31:40 --> 00:31:44 why are they not being like Peter Genovese, Michael, you know what I mean?
00:31:44 --> 00:31:50 I understand what you're saying. But because that's how they talk about them.
00:31:50 --> 00:31:51 They talk about the family.
00:31:51 --> 00:31:55 They don't, they always, you ever notice anytime they talk about the mob,
00:31:56 --> 00:32:00 they say part of the Wichigong family. part of, you know, so,
00:32:00 --> 00:32:04 and I guess that's, and that goes back in history.
00:32:04 --> 00:32:07 It's always been that way. Like always, anytime you look at a movie,
00:32:07 --> 00:32:12 anytime you hear, hear the news, somebody got killed, a mom,
00:32:12 --> 00:32:14 a mob boss or somebody got killed.
00:32:14 --> 00:32:16 It's always the, the, what do you call a family?
00:32:17 --> 00:32:19 It's this family or that family. So, yeah.
00:32:20 --> 00:32:25 So, but this is going to get big. We're going to hear more about it.
00:32:25 --> 00:32:27 Just pay attention, y'all.
00:32:28 --> 00:32:32 Because they said the names that are about to come out are going to be some big names.
00:32:34 --> 00:32:37 So, Dave, do you think LeBron James' name is going to come out?
00:32:37 --> 00:32:41 I think it's going to come out because this guy, Damon Jones,
00:32:41 --> 00:32:43 that they talked about, Damon Jones was hooked up,
00:32:44 --> 00:32:50 was he hooked up with it was was it Keisha Cole at one time or it was some singer
00:32:50 --> 00:32:56 but anyway that was LeBron one of LeBron's closest friends when he was playing
00:32:56 --> 00:33:01 one of his closest basketball buddies they played together in Cleveland when
00:33:01 --> 00:33:04 LeBron was in Cleveland and so forth and then,
00:33:05 --> 00:33:10 you know when you saw when you saw LeBron you would see him like tagging along
00:33:10 --> 00:33:15 with LeBron and so I'm pretty sure,
00:33:16 --> 00:33:20 Like, these guys, because they already said that Chauncey Billups,
00:33:20 --> 00:33:24 the coach, has already given up some names. Oh, shoot.
00:33:24 --> 00:33:28 He don't know why he ratted? Yeah. Yeah, because he's trying to stay out of
00:33:28 --> 00:33:30 jail. Because they all face jail time.
00:33:31 --> 00:33:38 Yeah, but, you know, what's the benefit of staying out of jail when the mob
00:33:38 --> 00:33:39 knows who you are? You know what I mean?
00:33:40 --> 00:33:43 Well, he ain't rattin' on the mob. He ain't rattin' on the basketball players.
00:33:43 --> 00:33:47 Yeah. Yeah, he might be safer in jail.
00:33:49 --> 00:33:53 But, you know, even if he's riding on the players, when some of these mob people
00:33:53 --> 00:33:56 come out, they're not going to know who's hold on them.
00:33:56 --> 00:33:59 If they know Chauncey, one of them.
00:33:59 --> 00:34:06 Yeah, yeah, yeah, well, you know, we always, that's another thing too, Leonard.
00:34:06 --> 00:34:10 It's always, you know, we have to be smarter.
00:34:10 --> 00:34:13 You know the money you know when when
00:34:13 --> 00:34:15 big money comes in it's not always good money you know
00:34:15 --> 00:34:18 what i mean you know you gotta
00:34:18 --> 00:34:21 be smart about what you do because look i'm sure there's
00:34:21 --> 00:34:26 some white players involved i'm almost positive but keep in mind the nba is
00:34:26 --> 00:34:34 mostly black right you know and the good white players there's very few of them
00:34:34 --> 00:34:40 on each team so you know a guy named like Like,
00:34:40 --> 00:34:43 Luka's probably the best white player in the league, you know.
00:34:44 --> 00:34:48 Now, unless his name comes out and people say, they say, oh,
00:34:48 --> 00:34:52 Luka was one of those players, yeah, that's going to be big because,
00:34:52 --> 00:34:53 you know, he playing for the league.
00:34:53 --> 00:34:57 And this dude makes over $40 million a year. Crazy.
00:34:59 --> 00:35:02 So we'll see. We'll see what happens. We'll see.
00:35:03 --> 00:35:05 Going to be interesting. Yeah, it's going to be interesting.
00:35:05 --> 00:35:08 But we'll go ahead and move on to our next story we've got.
00:35:09 --> 00:35:12 Yeah. So, Dave, this is the next story I saw. And actually, I just saw this
00:35:12 --> 00:35:16 today and I thought it was very interesting. I'm sure you'll probably find it interesting today.
00:35:17 --> 00:35:20 There was a guy, and of course, I skipped off the information.
00:35:21 --> 00:35:31 There's a guy, his name is Dr. Gabor Matt or Mate, and he is a trauma expert.
00:35:31 --> 00:35:38 And he said, no siblings grow up in the same house.
00:35:38 --> 00:35:40 And at first I'm like, you know, what is he talking about?
00:35:41 --> 00:35:45 And then he goes on to say, no siblings have the same parents.
00:35:46 --> 00:35:51 No siblings have the same family and no siblings have the same childhood.
00:35:52 --> 00:35:58 So to break that down, what he's saying is that every child in the house grows
00:35:58 --> 00:35:59 up differently. Differently.
00:36:00 --> 00:36:06 Yep. So, you know, he started by saying that the oldest child is treated differently
00:36:06 --> 00:36:07 than the youngest child.
00:36:08 --> 00:36:13 You know, the oldest child has a different relationship with their parents than
00:36:13 --> 00:36:16 the youngest child. You know, but, you know, I thought it was interesting because
00:36:16 --> 00:36:19 I've never heard anyone really break it down like that.
00:36:20 --> 00:36:23 But, you know, and it's kind of what he was talking about.
00:36:24 --> 00:36:27 You know, every child has their
00:36:27 --> 00:36:32 own experiences within the family and relating to the other siblings.
00:36:33 --> 00:36:37 And, you know, I always think it's funny because, you know, Dave, we've always here.
00:36:37 --> 00:36:44 You know how there's a family where there's one kid who's like off the radar
00:36:44 --> 00:36:49 and everyone else is normal and people are like, well, he comes from a good
00:36:49 --> 00:36:51 family, you know, his brothers and sisters, you know, like,
00:36:52 --> 00:36:56 why is he like that? Or, you know, he was raised the same way.
00:36:57 --> 00:37:02 But now that we can realize or recognize that everybody was raised differently,
00:37:03 --> 00:37:04 you know, it's different.
00:37:04 --> 00:37:06 And then the last thing he mentioned was temperaments.
00:37:07 --> 00:37:13 He's like, you know, everybody has a different temperament, you know,
00:37:13 --> 00:37:19 so, you know, it's just kind of different for everybody. So,
00:37:19 --> 00:37:20 you know, everyone has a different temperament.
00:37:21 --> 00:37:23 So, you know, things are going to be different.
00:37:24 --> 00:37:29 Yeah. You know what? I never looked at it that way before myself,
00:37:29 --> 00:37:36 Leonard, but it does make a lot of sense what he says, especially if you are not a only child.
00:37:37 --> 00:37:42 So if you have, it could be, you have two children.
00:37:43 --> 00:37:46 I know me and my sister kind of grew up differently, even though we're only
00:37:46 --> 00:37:49 two years apart, two and a half years apart.
00:37:50 --> 00:37:55 We grew up differently. I mean, you know, our paths were a little bit different,
00:37:55 --> 00:37:58 and we are two different people,
00:37:58 --> 00:38:05 you know, when it comes to how we deal with other folks and how we dealt with our parents, you know?
00:38:05 --> 00:38:10 I look at my kids, you know, because of the difference in ages,
00:38:11 --> 00:38:17 there's, you know, a 12-year gap between my youngest and my middle child.
00:38:18 --> 00:38:23 And then there's a 16-year gap between my youngest and my oldest child.
00:38:24 --> 00:38:30 So quite naturally, they all have a different type of experience when it comes
00:38:30 --> 00:38:34 to, you know, dealing with kids.
00:38:35 --> 00:38:41 You know, me as a parent and dealing with their mothers, you know? So, so.
00:38:42 --> 00:38:46 I could see that, even though everybody might be in the same household,
00:38:46 --> 00:38:51 but because of the time that they came up, they had different experiences.
00:38:51 --> 00:38:53 They had different temperaments.
00:38:53 --> 00:38:58 I even think the same thing applies to twins or triplets. Oh, yeah. No, I agree.
00:38:58 --> 00:39:03 Because, you know, where one might be more endearing than the other,
00:39:03 --> 00:39:10 or one may have a different way of looking at things or a different way of doing things.
00:39:10 --> 00:39:15 You know, it's always going to be something that's going to be different, you know.
00:39:16 --> 00:39:21 That's why when you see movies or when you see shows or you see documentaries
00:39:21 --> 00:39:25 and stuff like that and you see these siblings and they all seem,
00:39:26 --> 00:39:30 you know, well, you look at the Melendez brothers or somebody like that,
00:39:30 --> 00:39:35 you know, they, you know, and how they describe their experiences and so forth,
00:39:35 --> 00:39:38 you know, and they have these different experiences.
00:39:38 --> 00:39:41 And even though they were in the same house, you know, but then,
00:39:42 --> 00:39:44 you know, they just were viewed differently.
00:39:44 --> 00:39:47 They viewed their parents differently. They viewed themselves differently.
00:39:47 --> 00:39:53 So it's just a lot, you know. I mean, you got kids, you know, and you got stepkids.
00:39:53 --> 00:39:56 I mean, when you look at, when you look at. They're all different.
00:39:56 --> 00:39:58 They're all different, you know.
00:39:59 --> 00:40:04 And, you know, they're all different, even the units, because there's two units,
00:40:05 --> 00:40:07 you know, of children, you know.
00:40:07 --> 00:40:15 But they're four individuals yeah so you know so when you you know.
00:40:16 --> 00:40:20 You never thought about it before and the way that the guy put it,
00:40:21 --> 00:40:27 you said it was a guy right yeah it was a guy yeah that did the studies and
00:40:27 --> 00:40:31 everything you never you know the way he laid it out you probably never thought
00:40:31 --> 00:40:35 about it before I know I haven't but it makes a lot of sense yeah,
00:40:37 --> 00:40:40 when you think about the siblings and everybody that you might know and everything,
00:40:41 --> 00:40:46 think about your own situation, you know, you know, so, but yeah,
00:40:46 --> 00:40:48 it makes a lot of sense. So, yeah,
00:40:49 --> 00:40:53 Where did you find that article? No, so I actually saw this on social media.
00:40:54 --> 00:40:56 So this was a guy who was speaking on a podcast.
00:40:57 --> 00:41:04 And let me just see. So he was speaking on the Mel Robbins podcast.
00:41:04 --> 00:41:09 So Mel Robbins is a white lady. I feel like I've seen her like clips around
00:41:09 --> 00:41:10 social media. I've heard her name before.
00:41:11 --> 00:41:14 Yeah, I'm not exactly sure what she specializes in.
00:41:14 --> 00:41:17 But, you know, I just thought it was very interesting. Because when he first
00:41:17 --> 00:41:20 said it, you know, no siblings grow up in the same house.
00:41:20 --> 00:41:23 I'm like, okay, you know, that seemed like a riddle.
00:41:23 --> 00:41:27 But then when I was listening, I was like, yeah, you know, I understand. You know, like.
00:41:29 --> 00:41:33 Makes sense. Yep, exactly. Okay.
00:41:33 --> 00:41:37 Well, I have to look for that. I like to hear what they had to say.
00:41:37 --> 00:41:41 So if you think about it, send that, if you have the link, send that link. Yeah.
00:41:42 --> 00:41:49 I'll send it to you. Okay. All right. But moving on to our last story of the night,
00:41:49 --> 00:41:58 and I want to say kudos to the people that participated in this because I know,
00:41:58 --> 00:42:02 Leonard, you and I have talked about this a number of times on our podcast over
00:42:02 --> 00:42:03 the last year, especially.
00:42:04 --> 00:42:12 But Target, to lay off about 1 employees as boycotts and sluggish sales take a toll.
00:42:12 --> 00:42:20 So we all know there was a boycott of Target stores when the whole DEI stuff
00:42:20 --> 00:42:29 started happening and they start removing stuff they considered to be DEI from
00:42:29 --> 00:42:31 the stores, from the Target stores.
00:42:31 --> 00:42:35 And of course, there was a big call for a boycott.
00:42:35 --> 00:42:42 But listen to this. It says, Target announced plans for its first major round of layoffs in years.
00:42:42 --> 00:42:48 As the retailer struggles with stagnant sales and community boycotts.
00:42:50 --> 00:42:57 Target is still feeling the impact of the ongoing, yes, we're still going, boycotts.
00:42:57 --> 00:43:04 This week, the retailer announced that it's preparing for its first major round of layoffs in decades.
00:43:05 --> 00:43:10 In a decade, as the company tries to recover from four years of stagnant sales.
00:43:10 --> 00:43:17 We announced changes to our corporate structure today in efforts to accelerate
00:43:17 --> 00:43:23 our strategy and return to growth, a company spokesperson told ABC.
00:43:23 --> 00:43:30 It shows that it's important to understand that we did not take these actions to save costs.
00:43:30 --> 00:43:39 Adjusting our global HQ structure is the first step in rewiring our organization
00:43:39 --> 00:43:43 to be agile and to make faster decisions.
00:43:43 --> 00:43:49 The restructuring, which is reportedly planning to cut 1 corporate jobs,
00:43:50 --> 00:43:59 will eliminate approximately 800 positions that will no longer exist and lay off 1 employees,
00:44:00 --> 00:44:06 with managerial roles suspected to feel the most impact and a memo to the employees specifically.
00:44:08 --> 00:44:11 Target leadership told them that
00:44:11 --> 00:44:19 this 8% cut in its workforce is to reduce layers and overlapping work.
00:44:20 --> 00:44:25 Then it goes on to say, ahead of the restructuring announcement,
00:44:25 --> 00:44:29 the retailer encouraged all its U.S.
00:44:29 --> 00:44:32 Corporate employees to work from a home next week.
00:44:32 --> 00:44:38 That's interesting. However, Target says that those affected will receive severance
00:44:38 --> 00:44:45 packages and support along with benefits and pay until January 3, 2026.
00:44:45 --> 00:44:50 Though the company has reportedly seen a lull in sales over the last four years,
00:44:50 --> 00:44:58 it is clear that recent boycotts due to the DEI rollback has not helped Target's growth plans.
00:44:58 --> 00:45:05 When Target announced its plans to roll back elements of its DEI initiatives and commitments,
00:45:06 --> 00:45:10 consumers, activists, and community leaders encouraged communities,
00:45:11 --> 00:45:15 especially Black communities, to boycott the retailer.
00:45:16 --> 00:45:23 What started as a 40-day Target fest has since become a full boycott for many Black consumers.
00:45:23 --> 00:45:29 In the subsequent months, consumers saw that the impact of their activism as
00:45:29 --> 00:45:33 multiple reports of the decline in the target sales,
00:45:34 --> 00:45:41 And stock emerged so much so that even the peak shopping seasons like back to
00:45:41 --> 00:45:46 school couldn't increase Target sales and foot traffic.
00:45:46 --> 00:45:51 Since then, Target has not only undergone leadership changes,
00:45:51 --> 00:45:57 but has also had unsuccessful meetings with civil rights leaders like Al Sharpton
00:45:57 --> 00:46:00 and the Congressional Black Caucus.
00:46:01 --> 00:46:04 So now in hindsight you can see they're trying
00:46:04 --> 00:46:08 to backtrack and they're trying to do things to try to
00:46:08 --> 00:46:11 they're trying to restructure i mean restructure and
00:46:11 --> 00:46:16 all of this other stuff but do you notice even in all of that that i just read
00:46:16 --> 00:46:25 and all that we know you know because that story is really about us oh yeah
00:46:25 --> 00:46:30 definitely yeah because you know a lot a lot of us have always,
00:46:31 --> 00:46:34 you know, not me particularly, but a lot of people do like Target.
00:46:34 --> 00:46:39 A lot of us do like Target. And we still have some folks that still will go in Target.
00:46:39 --> 00:46:43 But they are missing the black dollar.
00:46:44 --> 00:46:48 But they, even in the story you can tell that they're not trying to say,
00:46:49 --> 00:46:53 That's the reason for the 1800s. Right. They're talking about the last four
00:46:53 --> 00:46:58 years, specifically the last two years.
00:46:58 --> 00:47:03 Yeah. They're definitely not trying to say it was us that caused that.
00:47:03 --> 00:47:07 So because of that, they're trying to play it cool or whatever.
00:47:08 --> 00:47:11 But look, you brought this on yourself. You really did.
00:47:12 --> 00:47:17 You decided to play the game the way that you played the game.
00:47:17 --> 00:47:21 And, you know, you thought that they were going to do a 40-day boycott.
00:47:22 --> 00:47:25 Well, they did the 40-day boycott, but they just decided not to come back.
00:47:27 --> 00:47:33 And, you know, I think Target held so, like, you know, they really felt they
00:47:33 --> 00:47:39 were standing on business, not bringing back that I think they've lost customers for good.
00:47:39 --> 00:47:43 Yeah, they do. You know, it's like, I feel like now it's too late to come back
00:47:43 --> 00:47:47 now. You done held out for, you know, almost a year.
00:47:48 --> 00:47:52 And we know the only reason you're coming back is because of the money. It ain't for us.
00:47:53 --> 00:47:58 Yeah. Because, you know, you look at some of these other stores, like even with Walmart.
00:47:58 --> 00:48:01 Walmart was on, you know, we had that list that came out that said,
00:48:02 --> 00:48:04 you know, don't shop at these stores anymore.
00:48:04 --> 00:48:08 Remember? Remember we had that list. And Walmart was one of those stores that
00:48:08 --> 00:48:11 was on there because they were taking, they took some stuff off the shelves,
00:48:11 --> 00:48:14 but not everything. Because you can still go in there and find black authors
00:48:14 --> 00:48:17 and so forth on their bookshelf and all of that stuff.
00:48:17 --> 00:48:23 But Walmart was smarter about the whole thing. And they said,
00:48:23 --> 00:48:25 we're going to move in silence.
00:48:26 --> 00:48:30 They said, we're going to do some stuff. But we ain't going to be out there
00:48:30 --> 00:48:32 being cocky about it. Target was cocky.
00:48:33 --> 00:48:36 They were cocky. They said, yeah, we're taking your stuff off. Right.
00:48:36 --> 00:48:38 You know, we're not going to have this here. And they started,
00:48:39 --> 00:48:41 you know, and they were pretty proud about it.
00:48:41 --> 00:48:46 You know, when, you know, when it was announced that they were getting rid of
00:48:46 --> 00:48:47 a lot of their DEI merchandise.
00:48:49 --> 00:48:55 And, you know, we had a lot of black business people who had a lot of stuff in their stores.
00:48:56 --> 00:48:59 You know, a lot of business owners and so forth.
00:49:00 --> 00:49:04 Tap at the Brown. Yeah, Tap at the Brown. She was doing very well in Target's stores.
00:49:05 --> 00:49:10 You know, so I'm sure they're going to try to make a last-ditch effort to try to get us back.
00:49:12 --> 00:49:17 Maybe they'll finally have that meeting with Al Sharpen if he allows them to have it. You never know.
00:49:18 --> 00:49:27 But I will say to those who stood fast and decided not to go back to Target, I applaud you.
00:49:27 --> 00:49:34 Yeah, I know it must hurt, but I never was a Target fan. you know,
00:49:35 --> 00:49:40 I've been in Target less than six times over the years.
00:49:40 --> 00:49:46 So I'm just not that guy. So it wasn't hard for me to say no.
00:49:47 --> 00:49:50 Right. So, you know. Were you a Target person?
00:49:50 --> 00:49:55 No, not really. I mean, I was more of a convenient person.
00:49:55 --> 00:49:59 You know, so I mean, if Walmart was closer, I go to Target. Yeah.
00:49:59 --> 00:50:02 If Target was closer, I go to Target.
00:50:02 --> 00:50:07 Yeah. Well, I always thought you can go to Walmart and get the same things and
00:50:07 --> 00:50:09 at a cheaper price. That's always felt.
00:50:11 --> 00:50:17 Yeah. So, but, you know, this also teach them, don't mess with us when we group together.
00:50:17 --> 00:50:21 Mm-hmm. The big plan, you know, especially when it comes to spending money.
00:50:22 --> 00:50:26 And you tell them, you tell them that's, oh, okay, this is what you're going to do?
00:50:27 --> 00:50:31 Right. Well, let's see how well you do if our dollars ain't going to those places.
00:50:31 --> 00:50:33 Because, you know, we're quick to spend.
00:50:35 --> 00:50:41 Unfortunately, you know, we'll spend quicker in the white stores than we will in our own stores.
00:50:43 --> 00:50:52 So, so you definitely don't want to have us not going to, you know, so yeah, yeah.
00:50:52 --> 00:50:58 So, but I just wanted to make sure to bring that up because they are definitely
00:50:58 --> 00:51:04 feeling, feeling the pain from our, from, from what their decision was.
00:51:04 --> 00:51:06 They really are. So, yeah.
00:51:07 --> 00:51:11 All right. That brings us to Leonard's favorite part of the show,
00:51:11 --> 00:51:13 as usual, which is Dave's Corner.
00:51:14 --> 00:51:18 So today I got a question for you, Mr. Leonard. Yeah. Okay.
00:51:19 --> 00:51:25 What is your three biggest fears in the next three years about AI?
00:51:26 --> 00:51:31 So I think number one would be loss of jobs.
00:51:31 --> 00:51:35 Because, you know, long story short, I saw an article the other day that said
00:51:35 --> 00:51:38 kids now are training for jobs that won't exist.
00:51:39 --> 00:51:45 So, you know, I definitely think loss of jobs. They're getting degrees for jobs that won't exist too.
00:51:45 --> 00:51:49 Yeah, and, you know, especially some of the low-paying jobs like cashier,
00:51:49 --> 00:51:52 you know, things that are kind of automated.
00:51:52 --> 00:51:55 And it's already happening with those type of jobs.
00:51:56 --> 00:52:00 Number two, I would say AI takeover.
00:52:01 --> 00:52:06 You know, when the machines start creating the machines that create the machines.
00:52:08 --> 00:52:11 Because I mean that that's a real possibility, too.
00:52:11 --> 00:52:14 And then three. Yeah.
00:52:15 --> 00:52:20 Maybe just, you know, are people still going to be able to kind of be their
00:52:20 --> 00:52:22 own creatives at whatever they do?
00:52:22 --> 00:52:26 Like, you know, is everybody going to be like nobody's I think for themselves.
00:52:27 --> 00:52:33 Everyone's going to go to chat GPT like I do right now, Dave. Like, I don't know.
00:52:34 --> 00:52:39 I don't know. You know, I almost compare it to and you probably know better than I do.
00:52:39 --> 00:52:42 But you know when when we
00:52:42 --> 00:52:45 went from radio to the tv yeah
00:52:45 --> 00:52:51 there were a whole generation of people who got stuck on the tv now we went
00:52:51 --> 00:52:56 from tv to the smartphones and now people are stuck on the smartphones and i
00:52:56 --> 00:53:02 feel like ai is that next transition where there'll be a lot of people who get
00:53:02 --> 00:53:05 stuck on it. So those are my three.
00:53:06 --> 00:53:15 Okay. What about yourself? What are your three biggest fears in the next three years about AI?
00:53:16 --> 00:53:22 My first biggest fear is that we'll have, like,
00:53:22 --> 00:53:30 the scenes from iRobot where there's robots walking amongst us,
00:53:30 --> 00:53:33 like just walking the
00:53:33 --> 00:53:36 street and right work you know in our homes and
00:53:36 --> 00:53:39 all of that kind of stuff that you know that might
00:53:39 --> 00:53:43 be cool for a little bit but then you also wonder you know
00:53:43 --> 00:53:46 like in that movie when they they
00:53:46 --> 00:53:50 try to take over everything you know and they became the
00:53:50 --> 00:53:53 they became the dominant figures as opposed to being
00:53:53 --> 00:54:02 you know you know there to help us out so i didn't get I guess that first thing
00:54:02 --> 00:54:10 is AI becoming smarter than us and we become the lesser of the two.
00:54:11 --> 00:54:14 The next one is that.
00:54:15 --> 00:54:19 We stopped thinking because they do everything for us.
00:54:19 --> 00:54:23 It does everything for us. I mean, like, you know, you kind of said you run
00:54:23 --> 00:54:25 the, you run the chat GBT for everything.
00:54:27 --> 00:54:31 I mean, not everything, but yeah, just about, you know what I'm saying?
00:54:31 --> 00:54:36 It's just like, and that reminds me, you made a, you, you kind of gave a little example.
00:54:36 --> 00:54:41 That reminds me from when we stopped using map quests and maps,
00:54:42 --> 00:54:45 when the, when the garments came out and,
00:54:45 --> 00:54:48 you know how you know you know
00:54:48 --> 00:54:51 you know uh what you call them
00:54:51 --> 00:54:54 our direction devices and so forth you know
00:54:54 --> 00:54:57 we stop using that stuff we don't you know mad quest
00:54:57 --> 00:55:02 and all that stuff because now we got something that's going to be more dependable
00:55:02 --> 00:55:09 and help us out more because you figured that was former ai those those i can't
00:55:09 --> 00:55:15 think of the name of them what we call them what gps Yeah. Yeah.
00:55:15 --> 00:55:20 And, you know, yeah, GPS, uh, when we, when those things came out and they,
00:55:20 --> 00:55:23 you know, they started talking to us and all of the stuff, you know,
00:55:23 --> 00:55:27 telling us turn right to here and all of that kind of stuff, you know?
00:55:28 --> 00:55:30 So, you know, yeah, we.
00:55:32 --> 00:55:35 We have to kind of pay attention to all of that.
00:55:35 --> 00:55:41 And then my third thing is that even when it comes to going to a restaurant,
00:55:42 --> 00:55:48 and now we got AI cooking our food, you know, we got robots cooking our food.
00:55:48 --> 00:55:49 Bringing your food, taking the order.
00:55:50 --> 00:55:57 Yeah, that's right. You know, and, you know, of course, as black folks,
00:55:57 --> 00:56:01 the biggest fear is whether anything will have any seasoning to it.
00:56:01 --> 00:56:05 You know what I'm saying? You know, but those are, those are,
00:56:05 --> 00:56:09 those are my biggest fear as far as, you know, because, and it all comes back
00:56:09 --> 00:56:12 to one thing, you know, the takeover.
00:56:13 --> 00:56:15 Yeah. Man versus machine. Yeah.
00:56:16 --> 00:56:20 You know? And I, I don't have a lot of confidence in man.
00:56:20 --> 00:56:26 No, no, no, because we already know. You can go to chat GPT,
00:56:26 --> 00:56:32 basically have a whole, you can create a man or a woman and have a whole conversation.
00:56:33 --> 00:56:37 No, you can. And, you know, it almost made me think of, too,
00:56:38 --> 00:56:41 we may become something like how Transformers are.
00:56:41 --> 00:56:46 Like, those robots are going to be talking, moving, doing their own thing.
00:56:46 --> 00:56:50 We're going to have good robots. We're going to have bad robots. I mean.
00:56:51 --> 00:56:56 Yeah, we got Decepticons and the Transformers. Yeah, yeah.
00:56:56 --> 00:56:59 I mean, come on now. you know and what
00:56:59 --> 00:57:03 was what was their favorite famous quote to you
00:57:03 --> 00:57:08 know more than meets the eye you know
00:57:08 --> 00:57:13 so and that's that's that's oh that's basically what we're dealing with with
00:57:13 --> 00:57:20 ai it's more than meets the eye yeah yeah so but i don't know what you guys
00:57:20 --> 00:57:25 think what do you think your three biggest fairs would be. Think about it. Let us know.
00:57:25 --> 00:57:29 Hit us up and let us know what your thoughts would be about that.
00:57:29 --> 00:57:32 Because it is scary. It is something to think about.
00:57:32 --> 00:57:40 Oh, yeah, it really is. You know, I had to laugh because I posted a picture
00:57:40 --> 00:57:45 on Facebook in my stories after the Eagles game, you know,
00:57:45 --> 00:57:50 decked out in my Eagle jersey and my Eagle cap. Did you see that picture?
00:57:51 --> 00:57:53 Yes, I did. Okay. Right.
00:57:55 --> 00:57:58 So, you know, I got a lot of comments that people are saying,
00:57:58 --> 00:58:02 Dave, I've never seen you with a cap on. I've never seen you in a jersey before.
00:58:02 --> 00:58:04 And I said, yeah, me either.
00:58:05 --> 00:58:08 They said, well, you posted the picture. And, you know, I was thinking the same
00:58:08 --> 00:58:12 thing. I was like, oh, I didn't know Dave had no jerseys. I know. Yeah.
00:58:14 --> 00:58:21 Well, my friend AI hooked it up for me. so and that's you know and everybody
00:58:21 --> 00:58:26 said you know I had to laugh because I said yeah I guess nobody has seen me
00:58:26 --> 00:58:32 in that kind of gear you know you know right especially repping the Eagles you know so,
00:58:33 --> 00:58:37 But anyway, but guys, you let us know what your thoughts are and so forth.
00:58:37 --> 00:58:43 So, and you can always send it to our newsandtrends.com or, you know,
00:58:43 --> 00:58:51 you can hit us up individually or go to the Apple podcast page and give your comments about it.
00:58:51 --> 00:58:54 But we, we always appreciate reading your comments anyway.
00:58:54 --> 00:58:57 So, but definitely let us know what your thoughts are.
00:58:58 --> 00:59:02 All right. I guess that's everything we got for you tonight.
00:59:03 --> 00:59:09 We really appreciate your time and the time that you guys take to listen to the show.
00:59:09 --> 00:59:12 Anything you want to add, Leonard, before we sign off?
00:59:13 --> 00:59:16 I just hope everybody has a great week.
00:59:18 --> 00:59:21 Okay. All right. That'll do it.
00:59:23 --> 00:59:29 Let's do this same time next week. Same bad channel, same bad time.
00:59:30 --> 00:59:34 We'll talk to you later. Ladies and gentlemen, for another edition of News and
00:59:34 --> 00:59:37 Trends with your host, Dave and Lynn.