1 00:00:00,400 --> 00:00:01,759 Speaker 1: DoorDash Young people Love. 2 00:00:01,840 --> 00:00:05,920 Speaker 2: DoorDash say it's launching what it calls an emergency food 3 00:00:06,000 --> 00:00:09,680 Speaker 2: response as the government shutdown threatens food assistance. 4 00:00:11,240 --> 00:00:15,160 Speaker 3: Yeah, the threatened food aid for some forty million Americans, 5 00:00:15,200 --> 00:00:18,239 Speaker 3: and now DoorDash says that next month Tom it will 6 00:00:18,280 --> 00:00:21,960 Speaker 3: waive delivery and service fees for three hundred thousand grocery 7 00:00:22,079 --> 00:00:26,480 Speaker 3: orders for recipients of the Supplemental Nutrition Assistance program known 8 00:00:26,520 --> 00:00:29,720 Speaker 3: as SNAP. DoorDash that it would also wave merchant fees 9 00:00:29,800 --> 00:00:32,880 Speaker 3: on deliveries of a million meals for its food bank 10 00:00:32,920 --> 00:00:36,400 Speaker 3: partners around the country again next month. Tom. 11 00:00:36,840 --> 00:00:40,640 Speaker 2: Meanwhile, PayPal making news on a couple of fronts this morning. 12 00:00:40,760 --> 00:00:42,919 Speaker 1: Their shares are surging. Why is that? 13 00:00:44,240 --> 00:00:47,640 Speaker 3: Yeah, Well, first of all, PayPal and Built Rewards are 14 00:00:47,680 --> 00:00:51,320 Speaker 3: teaming up to let customers use PayPal's venmo to make 15 00:00:51,479 --> 00:00:55,680 Speaker 3: rent and mortgage payments starting early next year. Customers have 16 00:00:55,760 --> 00:00:58,320 Speaker 3: flocked to Built as a way to earn rewards for 17 00:00:58,440 --> 00:01:02,440 Speaker 3: paying rent. Built, by the way is spelled Bilt. But 18 00:01:02,560 --> 00:01:05,440 Speaker 3: the shares of PayPal are getting a big boost this morning. 19 00:01:05,480 --> 00:01:08,199 Speaker 3: On some other news, it reached a deal with open 20 00:01:08,240 --> 00:01:12,600 Speaker 3: Ai to embed its digital wallet inside Chat GPT. That 21 00:01:12,760 --> 00:01:16,560 Speaker 3: means Chat GPT users who use that bot to find 22 00:01:16,640 --> 00:01:21,479 Speaker 3: products online. We'll have PayPal to turn those searches into purchases. 23 00:01:21,760 --> 00:01:26,400 Speaker 3: A time open AI gets mentioned in conjunction with another company, 24 00:01:26,480 --> 00:01:28,800 Speaker 3: those shares of the other company just go haywire. 25 00:01:29,000 --> 00:01:32,160 Speaker 2: Well, we have an extended interview with our business insider, 26 00:01:32,200 --> 00:01:34,200 Speaker 2: Greg Steven coming up here in a minute. I think 27 00:01:34,200 --> 00:01:36,440 Speaker 2: a lot of people who are wondering about AI. 28 00:01:36,800 --> 00:01:37,399 Speaker 1: What is it? 29 00:01:37,440 --> 00:01:39,560 Speaker 2: Should I be worried about it? Is it something I 30 00:01:39,600 --> 00:01:42,440 Speaker 2: should embrace? This is a really good interview that we 31 00:01:42,520 --> 00:01:46,000 Speaker 2: taped a little bit earlier this morning. Okay, how the 32 00:01:46,040 --> 00:01:49,320 Speaker 2: futures looking this morning, Genu, Well, the futures. 33 00:01:48,960 --> 00:01:51,360 Speaker 3: Are starting to pick up some speed here as we've 34 00:01:51,560 --> 00:01:55,000 Speaker 3: seen some earnings rolling in this morning. Tom Down futures 35 00:01:55,000 --> 00:01:58,560 Speaker 3: are up two hundred and sixteen, SMP futures are up seven, 36 00:01:58,760 --> 00:02:01,920 Speaker 3: and the Nasdaq futures are up forty two. This report 37 00:02:02,000 --> 00:02:05,760 Speaker 3: is sponsored by Fidelity from Bloomberg. Genas Servetti on News 38 00:02:05,840 --> 00:02:07,800 Speaker 3: Radio seven hundred WLW. 39 00:02:11,280 --> 00:02:14,400 Speaker 2: It's great to have our business insider, and we'll get 40 00:02:14,440 --> 00:02:17,400 Speaker 2: to that in just a minute. Greg Steben, you can 41 00:02:17,400 --> 00:02:20,519 Speaker 2: follow him on Blue Sky at Greg g R E 42 00:02:20,600 --> 00:02:24,200 Speaker 2: g G Steben ste b as in boy b as 43 00:02:24,200 --> 00:02:27,720 Speaker 2: in boy e n. Now, look, you know we call 44 00:02:27,760 --> 00:02:30,520 Speaker 2: you the business insider, Greg, but maybe you should be 45 00:02:30,639 --> 00:02:35,040 Speaker 2: our AI insider instead, because I have a feeling that 46 00:02:35,080 --> 00:02:37,239 Speaker 2: it's not only the last few weeks, but it could 47 00:02:37,320 --> 00:02:39,640 Speaker 2: be good Lord Willing, we're here for years and years 48 00:02:39,680 --> 00:02:42,880 Speaker 2: and years about the only thing we are talking about. Now, 49 00:02:43,360 --> 00:02:49,440 Speaker 2: you've been skeptical, you're not dismissive, But let's talk about AI, 50 00:02:50,160 --> 00:02:55,040 Speaker 2: the real AI. Which AI is real? Is AI real 51 00:02:55,320 --> 00:02:57,200 Speaker 2: or is it a lot of hype? 52 00:02:57,400 --> 00:02:59,480 Speaker 4: Yes, it's. 53 00:03:04,120 --> 00:03:04,919 Speaker 1: There for a minute. 54 00:03:05,320 --> 00:03:08,079 Speaker 4: Yeah, it's real and a lot of hype. And that's 55 00:03:08,120 --> 00:03:10,880 Speaker 4: why I like what you said. I'm skeptical because it's 56 00:03:10,919 --> 00:03:13,960 Speaker 4: a lot of hype, but it's not dismissive because it's 57 00:03:14,000 --> 00:03:17,200 Speaker 4: also real. And I think it's really important no matter 58 00:03:17,240 --> 00:03:19,800 Speaker 4: where you are in sort of the economic chain. You know, 59 00:03:19,840 --> 00:03:23,079 Speaker 4: you're an employee, maybe you manage people, maybe you own 60 00:03:23,120 --> 00:03:26,160 Speaker 4: a business. I think it's really important to be both 61 00:03:26,240 --> 00:03:30,520 Speaker 4: skeptical but not dismissive, to always be looking at it 62 00:03:30,560 --> 00:03:34,280 Speaker 4: and be curious, be thinking how could we use that? 63 00:03:34,520 --> 00:03:38,160 Speaker 4: But also be thinking is that a rabbit hole? Or 64 00:03:38,480 --> 00:03:41,200 Speaker 4: you know, is the person who's sang this thing about 65 00:03:41,240 --> 00:03:44,640 Speaker 4: how incredible AI is going to be or how scary 66 00:03:44,680 --> 00:03:46,160 Speaker 4: AI is going to be, right, I mean, if it's 67 00:03:46,160 --> 00:03:48,920 Speaker 4: going to replace a third of the workforce by next week, 68 00:03:49,240 --> 00:03:53,360 Speaker 4: you know that's that's scary, right. You know why is 69 00:03:53,480 --> 00:03:57,400 Speaker 4: this person saying that? Are they saying Do they have 70 00:03:57,560 --> 00:04:01,440 Speaker 4: some motive for saying that, like maybe a profit motive made? 71 00:04:01,440 --> 00:04:04,400 Speaker 4: Do they benefit from you believing that whether it's true 72 00:04:04,480 --> 00:04:07,600 Speaker 4: or not. There's all this and some of it may 73 00:04:07,680 --> 00:04:09,920 Speaker 4: be true. By the way, it's not going to replace 74 00:04:09,960 --> 00:04:12,360 Speaker 4: the third of the workforce by next Thursday. And I 75 00:04:12,360 --> 00:04:13,920 Speaker 4: don't think it's going to replace the third of the 76 00:04:13,960 --> 00:04:17,680 Speaker 4: workforce in the next five years or really ever. I 77 00:04:17,760 --> 00:04:20,560 Speaker 4: just think it's going to change the workforce, just like 78 00:04:20,600 --> 00:04:23,760 Speaker 4: the telephone did, just like the car did, just like 79 00:04:23,960 --> 00:04:26,840 Speaker 4: you know, more recently the internet did and the mobile 80 00:04:26,880 --> 00:04:29,200 Speaker 4: phone did. I think it's going to be that kind 81 00:04:29,240 --> 00:04:33,359 Speaker 4: of a change, which is not hype. It's realistic, and 82 00:04:33,440 --> 00:04:35,599 Speaker 4: anything beyond that is probably hype. 83 00:04:36,160 --> 00:04:40,280 Speaker 2: Give me a specific example, Greg Steban on where I 84 00:04:40,839 --> 00:04:41,680 Speaker 2: is real. 85 00:04:43,839 --> 00:04:46,680 Speaker 4: So I think there's some things you can do with 86 00:04:46,760 --> 00:04:51,159 Speaker 4: AI to experiment with it to really understand how powerful 87 00:04:51,200 --> 00:04:54,360 Speaker 4: it is. And I'm going to point to a particular 88 00:04:54,480 --> 00:04:57,680 Speaker 4: deal that was just announced to sort of illustrate this. 89 00:04:58,400 --> 00:05:01,159 Speaker 4: Walmart is now going to will allow you to use 90 00:05:01,320 --> 00:05:05,640 Speaker 4: chat GPT to make purchases. It's hard for me to 91 00:05:05,680 --> 00:05:08,479 Speaker 4: think about that in a really effective way because when 92 00:05:08,480 --> 00:05:11,200 Speaker 4: I think of Walmart, I think about, you know, buying 93 00:05:11,320 --> 00:05:16,120 Speaker 4: t shirts and dog toys. But imagine when you go 94 00:05:16,240 --> 00:05:19,800 Speaker 4: to buy a car or a computer instead of doing 95 00:05:19,880 --> 00:05:22,839 Speaker 4: Google searches. Like if you're buying a car, it's a 96 00:05:22,920 --> 00:05:25,560 Speaker 4: really compliment. You're a computer, it's a really complix and 97 00:05:25,560 --> 00:05:28,320 Speaker 4: you end up having like ten websites open, and you're 98 00:05:28,360 --> 00:05:31,240 Speaker 4: bouncing from website to website and they never give you 99 00:05:31,320 --> 00:05:34,800 Speaker 4: all the same information. And you can compare apples to oranges, right, 100 00:05:35,640 --> 00:05:39,000 Speaker 4: Or you could go to chat GPT or Gemini or 101 00:05:39,080 --> 00:05:43,800 Speaker 4: Perplexity and just say compare this computer from Dell with 102 00:05:43,880 --> 00:05:47,760 Speaker 4: this computer from HP, with this computer from LG with 103 00:05:47,800 --> 00:05:50,960 Speaker 4: this computer from some other companies, and they're literally you're 104 00:05:51,000 --> 00:05:54,279 Speaker 4: literally just going to get a grid that compares everything 105 00:05:54,400 --> 00:05:57,840 Speaker 4: side by side by side by side by side, which, 106 00:05:57,880 --> 00:06:01,400 Speaker 4: if you're obsessive like me, you would have taken hours 107 00:06:01,480 --> 00:06:05,000 Speaker 4: to lay out all that information for yourself instead, it 108 00:06:05,040 --> 00:06:09,040 Speaker 4: took literally ninety seconds to happen. That's a great illustration 109 00:06:09,120 --> 00:06:11,520 Speaker 4: of AI because it's really just they have all the 110 00:06:11,560 --> 00:06:15,200 Speaker 4: same information you have. They just can organize it a 111 00:06:15,240 --> 00:06:17,320 Speaker 4: lot faster and effectively than you can. 112 00:06:17,400 --> 00:06:18,599 Speaker 1: Yeah, you and I were talking about that. 113 00:06:18,760 --> 00:06:21,239 Speaker 2: Yeah, about that last week when you're planning a vacation, 114 00:06:21,520 --> 00:06:24,240 Speaker 2: same kind of thing. Okay, Now give me an example 115 00:06:24,320 --> 00:06:27,160 Speaker 2: of where AI is a lot of hype. 116 00:06:27,880 --> 00:06:31,640 Speaker 4: Okay, so this was a while ago. The CEO of 117 00:06:31,760 --> 00:06:36,520 Speaker 4: Zoom said, oh, yeah, in a couple of years, when 118 00:06:36,560 --> 00:06:39,560 Speaker 4: you have let's say you have multiple meetings to go to, 119 00:06:40,880 --> 00:06:43,599 Speaker 4: You're not going to go to any of them. You're 120 00:06:43,680 --> 00:06:47,240 Speaker 4: just going to send your digital avatar. You're going to 121 00:06:47,320 --> 00:06:50,400 Speaker 4: send your AIU to each of You're gonna go to 122 00:06:50,400 --> 00:06:52,360 Speaker 4: all the meetings, but you're not going to go to 123 00:06:52,440 --> 00:06:55,680 Speaker 4: any of the meetings. Now, why would the CEO of 124 00:06:55,760 --> 00:07:02,200 Speaker 4: Zoom say that? First of all, it's stupid. Yeah, really right, 125 00:07:02,760 --> 00:07:04,839 Speaker 4: if he works for me, I'm going to fire him 126 00:07:04,880 --> 00:07:07,480 Speaker 4: because if that's his goal, I don't want him working 127 00:07:07,520 --> 00:07:11,720 Speaker 4: for me. But he works for Zoom. It just means 128 00:07:12,000 --> 00:07:16,040 Speaker 4: that Zoom can host they can be the pioneers tech 129 00:07:16,160 --> 00:07:20,160 Speaker 4: in that horrible technology and their stock goes up and 130 00:07:20,200 --> 00:07:22,520 Speaker 4: blah blah. You know, his bonuses go up and blah 131 00:07:22,600 --> 00:07:25,880 Speaker 4: blah blah. It's totally beneficial to Zoom. So I look 132 00:07:25,920 --> 00:07:27,720 Speaker 4: at that, I give it the sniff test, and I go, 133 00:07:28,120 --> 00:07:32,520 Speaker 4: this guy is hyping AI to ultimately hype his company 134 00:07:32,560 --> 00:07:35,360 Speaker 4: and probably something they're working on. And on top of that, 135 00:07:35,440 --> 00:07:36,560 Speaker 4: it's a really bad idea. 136 00:07:36,880 --> 00:07:39,440 Speaker 1: Well why are so many companies so hyping AI? 137 00:07:42,120 --> 00:07:45,720 Speaker 4: Money? 138 00:07:45,440 --> 00:07:47,440 Speaker 1: Money in sect at the end of the day, right. 139 00:07:47,360 --> 00:07:50,680 Speaker 4: Well, I mean, you know, it's it's funny if you 140 00:07:50,760 --> 00:07:55,040 Speaker 4: go to San Francisco and you drive around every billboard 141 00:07:55,080 --> 00:07:59,200 Speaker 4: in the city and every billboard on the freeways leading 142 00:07:59,240 --> 00:08:02,800 Speaker 4: into the city for fifty miles our AI companies. I 143 00:08:02,800 --> 00:08:05,960 Speaker 4: don't think you can even buy a billboard around San 144 00:08:05,960 --> 00:08:08,840 Speaker 4: Francisco today unless you're an AI company. We wouldn't even 145 00:08:08,960 --> 00:08:11,080 Speaker 4: have the money to be able to do it. That's 146 00:08:11,160 --> 00:08:14,160 Speaker 4: a clear sign of hype. I mean, it's money, and 147 00:08:14,200 --> 00:08:17,880 Speaker 4: it's also frankly, I mean some of it's capitalism at work. 148 00:08:18,160 --> 00:08:24,160 Speaker 4: It's wishful thinking. We're AI companies and we believe our 149 00:08:24,200 --> 00:08:27,640 Speaker 4: own hype. We eat our own dog food, and we 150 00:08:27,760 --> 00:08:30,360 Speaker 4: believe we're going to change the world. And oh, by 151 00:08:30,400 --> 00:08:32,320 Speaker 4: the way, we also believe that what we're doing is 152 00:08:32,400 --> 00:08:35,640 Speaker 4: really good for not only us but all of mankind. 153 00:08:36,280 --> 00:08:39,640 Speaker 4: Because that's the nature of when you get hype yourself 154 00:08:39,720 --> 00:08:43,040 Speaker 4: up on something, you'll believe anything. So I think these 155 00:08:43,080 --> 00:08:47,880 Speaker 4: companies often believe what they're saying because they're surrounded by 156 00:08:48,120 --> 00:08:50,120 Speaker 4: other people. You know, they're what do they call that, 157 00:08:50,200 --> 00:08:53,440 Speaker 4: they're in a bubble. They're in a bubble of unreality. 158 00:08:53,679 --> 00:08:57,720 Speaker 4: So nowhere they go is that unreality? Does anybody screaming 159 00:08:57,760 --> 00:08:59,160 Speaker 4: at them that you know you're full of it? 160 00:09:00,120 --> 00:09:03,520 Speaker 2: Give me an example of a company. And you've made 161 00:09:03,559 --> 00:09:07,600 Speaker 2: different references to different companies through these different conversations we've had, 162 00:09:07,679 --> 00:09:10,080 Speaker 2: But what would be an example of a company that 163 00:09:10,160 --> 00:09:14,520 Speaker 2: you believe right now is really doing AI just right? 164 00:09:14,840 --> 00:09:15,680 Speaker 1: Is there one out there? 165 00:09:16,679 --> 00:09:17,079 Speaker 5: Yeah? 166 00:09:17,200 --> 00:09:19,280 Speaker 4: I just and there's more than one. But I just 167 00:09:19,320 --> 00:09:22,040 Speaker 4: saw an interview with the CEO of a company called 168 00:09:22,120 --> 00:09:25,040 Speaker 4: Duo Lingo. It's a company that you know, makes an 169 00:09:25,080 --> 00:09:28,800 Speaker 4: app that helps you learn languages. The CEO said, we're 170 00:09:28,800 --> 00:09:31,840 Speaker 4: going to be an AI first company. But here's what 171 00:09:31,880 --> 00:09:33,720 Speaker 4: he means by it. They asked him in the interview, 172 00:09:33,720 --> 00:09:36,480 Speaker 4: how do you use AI, he said, oh, you know, 173 00:09:36,920 --> 00:09:40,520 Speaker 4: I look for recipes. I use it for health symptoms, 174 00:09:40,640 --> 00:09:42,199 Speaker 4: like you know, if I don't feel good when I 175 00:09:42,240 --> 00:09:44,320 Speaker 4: wake up in the morning, and every now and then 176 00:09:44,360 --> 00:09:47,080 Speaker 4: I use it to simplify emails. So that's dead on. 177 00:09:47,280 --> 00:09:51,120 Speaker 4: He's experimenting with it. But here's the other thing he's done, 178 00:09:51,160 --> 00:09:54,000 Speaker 4: and this is company policy and I'm literally quoting him. 179 00:09:54,360 --> 00:09:57,440 Speaker 4: On Fridays, we're giving everybody two to three hours to 180 00:09:57,640 --> 00:10:01,360 Speaker 4: just experiment. We have slack channels where people can share 181 00:10:01,440 --> 00:10:06,440 Speaker 4: AI wins, and we've added a Slack channel for AI losses. 182 00:10:07,480 --> 00:10:10,040 Speaker 4: He's just saying to people, I don't know what we're 183 00:10:10,040 --> 00:10:11,520 Speaker 4: going to do with this, but I think it's going 184 00:10:11,600 --> 00:10:14,800 Speaker 4: to be important. I need you to be good at 185 00:10:14,800 --> 00:10:17,600 Speaker 4: this and tell me what it can do, but I 186 00:10:17,640 --> 00:10:20,160 Speaker 4: also need you to tell me what it can't do, 187 00:10:21,000 --> 00:10:24,240 Speaker 4: and that is, frankly, what we should all be doing. 188 00:10:24,679 --> 00:10:30,040 Speaker 4: This guy is both skeptical but not dismissive. He's, you know, 189 00:10:30,240 --> 00:10:33,160 Speaker 4: even in his personal life. He's not trying to make 190 00:10:33,200 --> 00:10:37,520 Speaker 4: it change his life. He's using it occasionally. The simplify emails. 191 00:10:37,800 --> 00:10:41,560 Speaker 4: That's probably about an appropriate use of AI today and 192 00:10:41,640 --> 00:10:44,200 Speaker 4: tomorrow you'll use them for a little bit more and 193 00:10:44,280 --> 00:10:47,520 Speaker 4: in ten years it might be really exciting and dramatic. 194 00:10:47,640 --> 00:10:49,640 Speaker 4: I know I'm going exciting and dramatic now. 195 00:10:49,520 --> 00:10:51,640 Speaker 2: I know I'm going off the reservation here a little bit. 196 00:10:51,640 --> 00:10:54,760 Speaker 2: But before I let you go, I can't remember the 197 00:10:54,760 --> 00:10:56,560 Speaker 2: guy's name. Maybe you'll know it, But one of the 198 00:10:56,679 --> 00:11:01,840 Speaker 2: basic inventors of AI has become is largest critic. 199 00:11:03,080 --> 00:11:05,120 Speaker 1: And is scared of it. Are you scared of it 200 00:11:05,200 --> 00:11:05,480 Speaker 1: at all? 201 00:11:09,080 --> 00:11:09,200 Speaker 5: Uh? 202 00:11:09,400 --> 00:11:11,400 Speaker 4: You know, well, first of all, one of the guys 203 00:11:11,400 --> 00:11:14,200 Speaker 4: who's who was big into this and is now really 204 00:11:14,240 --> 00:11:17,720 Speaker 4: one of its big biggest critics is is Elon Musk. 205 00:11:18,040 --> 00:11:20,559 Speaker 4: He both you know, he was one of the original 206 00:11:20,600 --> 00:11:23,800 Speaker 4: people behind chat GPT and now he's one of the 207 00:11:23,840 --> 00:11:26,640 Speaker 4: biggest foes of chat GPT. Now think about what I 208 00:11:26,640 --> 00:11:27,280 Speaker 4: said earlier. 209 00:11:27,520 --> 00:11:27,920 Speaker 1: Why. 210 00:11:28,200 --> 00:11:30,360 Speaker 4: I mean, some of that may be philosophical, but some 211 00:11:30,440 --> 00:11:33,160 Speaker 4: of it's probably about money too, So just keep that 212 00:11:33,200 --> 00:11:36,640 Speaker 4: in mind. Am I afraid of it? No, I'm afraid 213 00:11:36,640 --> 00:11:39,840 Speaker 4: of what people might do with it. I'm afraid of people, 214 00:11:40,240 --> 00:11:43,920 Speaker 4: bosses and companies being stupid about it. And you know, 215 00:11:44,400 --> 00:11:48,679 Speaker 4: laying off six hundred thousand people. I just read Amazon's 216 00:11:48,760 --> 00:11:51,680 Speaker 4: laying off six hundred thousand people to replace them with robots, 217 00:11:52,080 --> 00:11:54,480 Speaker 4: you know, and maybe that's not the best example, but 218 00:11:54,679 --> 00:11:59,640 Speaker 4: just companies doing large, massive things that are destructive to 219 00:11:59,760 --> 00:12:03,280 Speaker 4: them and they're loyal employees, only to find out that, oh, 220 00:12:03,320 --> 00:12:06,960 Speaker 4: you know what has been cyclically said over and over 221 00:12:07,000 --> 00:12:09,120 Speaker 4: again in the history of business in the last thirty 222 00:12:09,160 --> 00:12:13,080 Speaker 4: or forty years, the best app ends up being the people. 223 00:12:13,559 --> 00:12:15,480 Speaker 4: And I think we're going to discover that over and 224 00:12:15,520 --> 00:12:19,840 Speaker 4: over again. AI helps people do their jobs better. It's 225 00:12:19,840 --> 00:12:20,880 Speaker 4: not better than people. 226 00:12:21,520 --> 00:12:23,840 Speaker 2: That's great stuff, Greg Devin, You're the best, my friend. 227 00:12:23,920 --> 00:12:25,200 Speaker 2: Hope you have a great rest of your day and 228 00:12:25,240 --> 00:12:25,959 Speaker 2: have a good weekend. 229 00:12:27,200 --> 00:12:29,360 Speaker 4: Oh, by the way, I'm not really here. This is 230 00:12:29,400 --> 00:12:30,880 Speaker 4: my aiut. 231 00:12:31,840 --> 00:12:34,880 Speaker 2: Okay, Well, well you know what, We'll keep calling your 232 00:12:34,880 --> 00:12:35,680 Speaker 2: AI anyway. 233 00:12:35,760 --> 00:12:37,079 Speaker 1: It's okay. It was good stuff. 234 00:12:38,640 --> 00:12:41,360 Speaker 4: Glad to hear it. It's great to be part by all. 235 00:12:41,280 --> 00:12:46,440 Speaker 6: Worth Financial and by RNL Carriers. On seven hundred WLW, 236 00:12:46,800 --> 00:12:53,120 Speaker 6: The Home of the Best Bengals Copy Rocky. 237 00:12:53,200 --> 00:12:56,240 Speaker 7: The Bengals lost to the New York Jets on Sunday 238 00:12:56,280 --> 00:12:59,439 Speaker 7: by a score of thirty nine to thirty eight. Cincinnati 239 00:12:59,520 --> 00:13:02,679 Speaker 7: defense continues to be quite frankly atrocious. 240 00:13:03,480 --> 00:13:05,160 Speaker 1: The offense was far from perfect. 241 00:13:05,320 --> 00:13:07,920 Speaker 7: We can nitpick some play calling and stuff like that, 242 00:13:08,080 --> 00:13:11,000 Speaker 7: but they scored thirty eight points with Joe Flacco's quarterback. 243 00:13:11,600 --> 00:13:14,520 Speaker 7: What is it like when a team has one unit 244 00:13:14,559 --> 00:13:19,400 Speaker 7: that's really good or performing capably, like Cincinnati's offense, and 245 00:13:19,520 --> 00:13:22,400 Speaker 7: one that's awful like Cincinnati's defense. 246 00:13:22,960 --> 00:13:26,240 Speaker 8: Yeah, it's really tough mode because you know the other 247 00:13:26,440 --> 00:13:29,400 Speaker 8: side is going to start chirping. You know, I guarantee 248 00:13:29,400 --> 00:13:33,400 Speaker 8: you Jamar Chase is making it pretty well known and 249 00:13:33,440 --> 00:13:35,720 Speaker 8: not holding back on the fact that you know, they're 250 00:13:36,200 --> 00:13:39,040 Speaker 8: at least doing their job and the defense isn't. So 251 00:13:39,640 --> 00:13:41,720 Speaker 8: I guess that the one part of good news is is, 252 00:13:42,320 --> 00:13:46,320 Speaker 8: unlike when the entire team's bad, the defense in this 253 00:13:46,440 --> 00:13:50,080 Speaker 8: case takes it personal and they should, and that creates 254 00:13:50,120 --> 00:13:53,959 Speaker 8: a little more sense of urgency. And you know, new 255 00:13:54,040 --> 00:13:57,880 Speaker 8: players aren't going to show up tomorrow. But if that encourages, 256 00:13:58,360 --> 00:14:01,560 Speaker 8: it's a little bit of shame, encourages that the guys 257 00:14:01,600 --> 00:14:04,120 Speaker 8: that are on this defense right now to look at 258 00:14:04,120 --> 00:14:06,520 Speaker 8: their playbook a little more, to watch a little more 259 00:14:06,559 --> 00:14:09,439 Speaker 8: tape to understand where they're supposed to be. I guess 260 00:14:09,440 --> 00:14:11,920 Speaker 8: that's a good thing. But you know, no new players 261 00:14:11,920 --> 00:14:13,560 Speaker 8: are coming. They just got to try to find a 262 00:14:13,559 --> 00:14:13,840 Speaker 8: way to. 263 00:14:15,480 --> 00:14:16,080 Speaker 4: Get better. 264 00:14:16,120 --> 00:14:18,000 Speaker 8: And if a little bit of embarrassment, a little bit 265 00:14:18,000 --> 00:14:20,880 Speaker 8: of chirping from the other side, helps that, then so 266 00:14:21,000 --> 00:14:21,240 Speaker 8: be it. 267 00:14:21,520 --> 00:14:24,160 Speaker 7: Chicago Bears in town on Sunday for a one o'clock 268 00:14:24,200 --> 00:14:26,560 Speaker 7: game at pay Corpse Stadium. You'll hear it live on 269 00:14:26,600 --> 00:14:30,680 Speaker 7: seven hundred WLW with pregame coverage starting Sunday morning from 270 00:14:30,680 --> 00:14:34,840 Speaker 7: the Holy Grail at nine am with Rocky Boyman a Bwick. 271 00:14:35,680 --> 00:14:38,320 Speaker 1: Money Minute on seven hundred WLW. 272 00:14:38,960 --> 00:14:41,800 Speaker 9: This is the Bloomberg Money Minute. PayPal has reached a 273 00:14:41,840 --> 00:14:45,040 Speaker 9: deal to embed its digital wallet inside of chat EPT. 274 00:14:45,640 --> 00:14:49,160 Speaker 9: Hundreds of millions of folks already use the artificial intelligence 275 00:14:49,200 --> 00:14:52,120 Speaker 9: tool to find products. The new type will mean PayPal 276 00:14:52,200 --> 00:14:56,520 Speaker 9: provides the payment technology to turn those searches into actual purchases. 277 00:14:57,080 --> 00:14:58,239 Speaker 3: Checking on your Money. 278 00:14:58,040 --> 00:14:59,880 Speaker 9: Stocks finished the day at an all time high yes 279 00:15:00,520 --> 00:15:03,120 Speaker 9: the S and P five hundred sword one point two percent. 280 00:15:03,480 --> 00:15:07,320 Speaker 9: This morning, futures are starting to see gains. Meta is 281 00:15:07,400 --> 00:15:10,760 Speaker 9: launching disappearing posts for its Thread social media app. The 282 00:15:10,840 --> 00:15:13,480 Speaker 9: company says the idea is to encourage more people to 283 00:15:13,480 --> 00:15:16,480 Speaker 9: share unfiltered thoughts without fear they'll exist forever on a 284 00:15:16,600 --> 00:15:20,360 Speaker 9: user's profile. Ghost posts, as they're called, will show up 285 00:15:20,360 --> 00:15:23,160 Speaker 9: alongside regular ones in the main feed, but will vanish 286 00:15:23,240 --> 00:15:26,400 Speaker 9: after twenty four hours. And it's apparently much easier to 287 00:15:26,480 --> 00:15:29,400 Speaker 9: graduate from Harvard than it is to get in. According 288 00:15:29,440 --> 00:15:33,240 Speaker 9: to a report by Harvard's Office of Undergraduate Education, around 289 00:15:33,320 --> 00:15:36,920 Speaker 9: sixty percent of grades given in undergraduate programs are a's. 290 00:15:37,000 --> 00:15:38,800 Speaker 9: According it's Onna Hope Bloomberg. 291 00:15:38,440 --> 00:15:42,280 Speaker 2: Radio, Jeez, I should have gone to Harvard based on 292 00:15:42,440 --> 00:15:47,800 Speaker 2: that sixty percent of the classes are handing out a's, Holly. 293 00:15:47,480 --> 00:15:50,040 Speaker 1: Moses, I mean, Julie is fortting. 294 00:15:50,160 --> 00:15:54,920 Speaker 2: You know, she just had AAA all the way through 295 00:15:55,080 --> 00:15:58,960 Speaker 2: high school Xavier, whole nine yards, right, Julie, tell truth. 296 00:15:59,040 --> 00:16:02,040 Speaker 2: Now you are pretty much a's across the bord. Am 297 00:16:02,040 --> 00:16:02,800 Speaker 2: all right about that? 298 00:16:03,760 --> 00:16:05,400 Speaker 5: I did really well in school. 299 00:16:05,600 --> 00:16:07,320 Speaker 1: You're not answering my question. 300 00:16:07,080 --> 00:16:07,400 Speaker 4: I will. 301 00:16:09,400 --> 00:16:12,280 Speaker 5: You know, it's interesting about my college career though, if 302 00:16:12,320 --> 00:16:15,920 Speaker 5: I graduated, and I graduated in three years instead of 303 00:16:15,920 --> 00:16:20,160 Speaker 5: four because I wanted to train for the Olympics, so 304 00:16:20,360 --> 00:16:23,160 Speaker 5: I knew I couldn't be in college, you know, and 305 00:16:23,200 --> 00:16:27,720 Speaker 5: then also train. So I graduated from Xavier in three 306 00:16:27,800 --> 00:16:31,520 Speaker 5: years and then moved down to Orlando and traded for 307 00:16:31,600 --> 00:16:34,840 Speaker 5: the Olympics. So I did have a motivation to get 308 00:16:34,880 --> 00:16:37,640 Speaker 5: good grades and get out of college real soon because 309 00:16:37,800 --> 00:16:40,160 Speaker 5: I fell in love with trying to get into the 310 00:16:40,160 --> 00:16:44,400 Speaker 5: Olympics instead. So it is a different story for our 311 00:16:44,440 --> 00:16:47,600 Speaker 5: college education. Of course, my parents loved me because I 312 00:16:47,640 --> 00:16:49,320 Speaker 5: got out of school in three years and I didn't 313 00:16:49,360 --> 00:16:50,840 Speaker 5: have to pay for the fourth year there. 314 00:16:50,880 --> 00:16:53,160 Speaker 2: We go there and and then you got to go 315 00:16:53,200 --> 00:16:55,080 Speaker 2: to Florida and hang out for a while do all 316 00:16:55,120 --> 00:16:55,600 Speaker 2: your training. 317 00:16:55,840 --> 00:16:57,960 Speaker 1: I mean you you're even smarter out of school than 318 00:16:58,000 --> 00:16:58,520 Speaker 1: in school. 319 00:16:59,560 --> 00:17:02,440 Speaker 5: Well that's interesting about that, Tom. If I had to 320 00:17:02,480 --> 00:17:05,200 Speaker 5: find a warm environment, you know, so it made the. 321 00:17:05,160 --> 00:17:08,000 Speaker 1: Extra of course fun again. Yeah, I mean, who wants 322 00:17:08,000 --> 00:17:09,560 Speaker 1: to run it? And Lord knows you've done it. 323 00:17:09,640 --> 00:17:11,840 Speaker 2: I mean, you know, I you know when when I 324 00:17:11,880 --> 00:17:13,560 Speaker 2: first met you, and you and I knew each other 325 00:17:13,640 --> 00:17:16,480 Speaker 2: going all the way back to the mid eighties, late eighties. 326 00:17:16,920 --> 00:17:19,840 Speaker 2: I mean, I remember you talking about getting up in 327 00:17:19,880 --> 00:17:21,399 Speaker 2: the dead of winter, and I think you still do 328 00:17:21,440 --> 00:17:24,280 Speaker 2: it now. Maybe you don't run as far, but I mean, 329 00:17:24,520 --> 00:17:26,400 Speaker 2: how many days of your life have you had at 330 00:17:26,440 --> 00:17:28,760 Speaker 2: four thirty five o'clock in the morning where you're going 331 00:17:28,760 --> 00:17:31,480 Speaker 2: out and running eight ten twelve miles and it's ten 332 00:17:31,480 --> 00:17:32,680 Speaker 2: degrees outside. 333 00:17:33,480 --> 00:17:36,240 Speaker 5: Yeah, it does get kind of miserable here in the winter. 334 00:17:36,320 --> 00:17:39,080 Speaker 5: And that was our topic when we were talking yesterday, 335 00:17:39,119 --> 00:17:41,359 Speaker 5: about the fact that exercise is hard. 336 00:17:41,600 --> 00:17:42,560 Speaker 1: Yeah, it is. 337 00:17:42,680 --> 00:17:45,199 Speaker 5: I mean, you know, it's not like, oh great, this 338 00:17:45,320 --> 00:17:47,359 Speaker 5: is going to be really easy. But if you think 339 00:17:47,440 --> 00:17:52,400 Speaker 5: about it, if everything was easy, we'd never grow. And 340 00:17:52,840 --> 00:17:56,080 Speaker 5: so all the good things in life, I think have 341 00:17:56,200 --> 00:17:59,000 Speaker 5: come from a lot of struggle, a lot of challenge. 342 00:17:59,040 --> 00:18:02,840 Speaker 5: And I'll put exercises up there. And what's interesting is 343 00:18:02,920 --> 00:18:06,360 Speaker 5: every week we talk about all the benefits of exercise. Yeah, 344 00:18:06,680 --> 00:18:09,280 Speaker 5: and I think I think there's two things I had 345 00:18:09,280 --> 00:18:13,639 Speaker 5: of exercise in my life. That's love, my relationships, my friendship, 346 00:18:14,200 --> 00:18:18,359 Speaker 5: and two asleep and three is exercise. Yet it's so 347 00:18:18,760 --> 00:18:23,080 Speaker 5: hard to convince our brains to get out there every day, 348 00:18:23,160 --> 00:18:25,320 Speaker 5: and I'm not going to It's hard for me too, 349 00:18:25,359 --> 00:18:29,000 Speaker 5: It's hard for everyone, but it's part of being human. 350 00:18:29,119 --> 00:18:31,959 Speaker 5: And I think once you realize you're not alone, Like, 351 00:18:32,240 --> 00:18:35,760 Speaker 5: there's some real good reasons why exercise is hard. 352 00:18:36,119 --> 00:18:39,080 Speaker 2: You know, when I was looking up this stuff last 353 00:18:39,240 --> 00:18:41,639 Speaker 2: night knowing that this was going to be our topic 354 00:18:41,720 --> 00:18:46,200 Speaker 2: today about exercise, and why we don't do it you 355 00:18:46,280 --> 00:18:48,639 Speaker 2: say all the time, and you say to people it 356 00:18:48,680 --> 00:18:50,240 Speaker 2: doesn't mean you're lazy. 357 00:18:50,280 --> 00:18:50,439 Speaker 4: You know. 358 00:18:50,560 --> 00:18:54,119 Speaker 2: Basically you can break this into three major categories, right, Yeah, 359 00:18:54,160 --> 00:18:57,520 Speaker 2: perceived barriers okay, which might be a lack of time, 360 00:18:58,000 --> 00:19:00,480 Speaker 2: how much does it cost to join a gym, access 361 00:19:00,520 --> 00:19:03,920 Speaker 2: to the gym, right, psychological factors. We can get into 362 00:19:03,960 --> 00:19:06,560 Speaker 2: all that kind of physical limitations. You know, maybe you 363 00:19:06,640 --> 00:19:09,680 Speaker 2: got some chronic condition, some injuries, pain, whatever the case 364 00:19:09,720 --> 00:19:12,680 Speaker 2: may be. So there are a lot of barriers out 365 00:19:12,720 --> 00:19:16,600 Speaker 2: there for why we don't exercise. 366 00:19:18,680 --> 00:19:21,359 Speaker 5: Yeah, and there's also the ones about you know, we 367 00:19:21,960 --> 00:19:25,600 Speaker 5: are starting to compare ourselves. Instagram makes it look like 368 00:19:25,760 --> 00:19:31,120 Speaker 5: everyone has add discipline and we don't. And then we 369 00:19:31,200 --> 00:19:35,440 Speaker 5: have I think we've lost the fun too. Kids run 370 00:19:35,480 --> 00:19:39,159 Speaker 5: because it feels good. Adults run because they should they 371 00:19:39,200 --> 00:19:42,320 Speaker 5: should have, could have, would have. So you've got that 372 00:19:42,480 --> 00:19:47,639 Speaker 5: whole mindset in emotion thing too. And I think that 373 00:19:48,119 --> 00:19:50,800 Speaker 5: you know, we're not broken, We're not a problem to 374 00:19:50,800 --> 00:19:53,440 Speaker 5: be fixed. I think if you start with the premise 375 00:19:53,480 --> 00:19:58,280 Speaker 5: that you're already outrageously wonderful and start with that you've 376 00:19:58,320 --> 00:20:02,320 Speaker 5: got all the gifts, and then try to find a 377 00:20:02,400 --> 00:20:05,560 Speaker 5: way to grow, which means you got to get out 378 00:20:05,560 --> 00:20:08,840 Speaker 5: there and push yourself through it. And you know, think 379 00:20:08,880 --> 00:20:12,800 Speaker 5: about our world though we are built around sitting. I 380 00:20:12,800 --> 00:20:18,040 Speaker 5: mean we have door, dash we have everything, elevators, we 381 00:20:18,200 --> 00:20:21,520 Speaker 5: I mean, there's every reason the world is against us 382 00:20:21,560 --> 00:20:25,160 Speaker 5: and trying to move. So what we have to think about. 383 00:20:25,600 --> 00:20:29,479 Speaker 5: I think it's just not the instant gratification to know 384 00:20:29,560 --> 00:20:32,240 Speaker 5: this is long term. I mean there's going to be 385 00:20:32,280 --> 00:20:35,040 Speaker 5: a day in our lives where we can't move like 386 00:20:35,080 --> 00:20:35,679 Speaker 5: we want to. 387 00:20:35,920 --> 00:20:38,640 Speaker 2: Yeah, I mean I'm going through it right now. I Mean, 388 00:20:38,680 --> 00:20:40,840 Speaker 2: this hip thing is just it's the first time in 389 00:20:40,880 --> 00:20:44,080 Speaker 2: my life that I've ever had to live with just 390 00:20:44,840 --> 00:20:48,439 Speaker 2: excruciating pain. I mean, I've never been in my life 391 00:20:48,480 --> 00:20:51,159 Speaker 2: where this is and I got to figure out, you know, 392 00:20:51,240 --> 00:20:53,119 Speaker 2: how we're going to address this thing. But man, I 393 00:20:53,200 --> 00:20:56,760 Speaker 2: tell you, you know, it's like anything else when when 394 00:20:57,359 --> 00:20:59,560 Speaker 2: you don't have to worry about it, you don't think 395 00:20:59,560 --> 00:21:02,159 Speaker 2: about what other people are going through, right, But then 396 00:21:02,200 --> 00:21:03,720 Speaker 2: all of a sudden, when you have it, you're like, 397 00:21:03,800 --> 00:21:05,560 Speaker 2: oh my god, it's got to be terrible for a 398 00:21:05,560 --> 00:21:07,240 Speaker 2: lot of other people, And all of a sudden you 399 00:21:07,359 --> 00:21:11,560 Speaker 2: become so much more compassionate in other situations. But if 400 00:21:11,600 --> 00:21:17,000 Speaker 2: you're able to do extras physically mentally, if you're able 401 00:21:17,080 --> 00:21:19,520 Speaker 2: to do it, Julie, how do we get people to 402 00:21:19,680 --> 00:21:23,120 Speaker 2: change their mind about getting out and doing it? 403 00:21:24,760 --> 00:21:29,040 Speaker 5: Well, I think I'll never really be able to change 404 00:21:29,080 --> 00:21:33,760 Speaker 5: people's minds, but I think that we can just get 405 00:21:33,800 --> 00:21:36,800 Speaker 5: people to start. I mean your brain. Every single day, 406 00:21:36,840 --> 00:21:40,679 Speaker 5: your brain's going to say something's more important. So don't 407 00:21:40,680 --> 00:21:45,440 Speaker 5: aim for perfectionism and don't aim for comparison. I'm telling 408 00:21:45,480 --> 00:21:48,520 Speaker 5: you you don't need an hour, thirty minutes, ten minutes 409 00:21:48,720 --> 00:21:51,959 Speaker 5: something to get you moving. And the more you do it, 410 00:21:52,000 --> 00:21:56,320 Speaker 5: even if it's fifteen minutes, you start feeling the benefits, 411 00:21:56,400 --> 00:22:00,879 Speaker 5: the gratification. You start realizing this is long term, not 412 00:22:01,119 --> 00:22:05,119 Speaker 5: short term. This you know it does take longer to 413 00:22:05,560 --> 00:22:09,879 Speaker 5: feel better. And then remember, don't quit too early. I 414 00:22:09,920 --> 00:22:13,920 Speaker 5: think we quit too soon. So I have this ten 415 00:22:13,960 --> 00:22:16,960 Speaker 5: minute rule for all my students. It's like, if after 416 00:22:17,119 --> 00:22:20,280 Speaker 5: ten or fifteen minutes you don't feel good and you 417 00:22:20,320 --> 00:22:24,720 Speaker 5: are absolutely miserable, well, for goodness sake, find something else then, 418 00:22:25,640 --> 00:22:28,120 Speaker 5: but don't quit too soon. I think that's the biggest 419 00:22:28,119 --> 00:22:32,120 Speaker 5: mistake people make. They think, well, first of all, oh, 420 00:22:33,040 --> 00:22:35,200 Speaker 5: I got to go an hour and then after ten 421 00:22:35,240 --> 00:22:36,919 Speaker 5: minutes you give up. Now you don't have to go 422 00:22:36,920 --> 00:22:40,080 Speaker 5: an hour and go fifteen minutes to start with that. 423 00:22:40,440 --> 00:22:43,800 Speaker 5: And then a lot of times there's no accountability, no one. 424 00:22:44,160 --> 00:22:47,359 Speaker 5: You feel like no one cares because we have no coach. 425 00:22:47,880 --> 00:22:50,280 Speaker 5: No like back when you were in school, at least 426 00:22:50,320 --> 00:22:54,080 Speaker 5: she had a coach and a team. But it's soccer something, 427 00:22:54,119 --> 00:22:57,040 Speaker 5: and you had parents that drove you and picked you 428 00:22:57,240 --> 00:23:00,639 Speaker 5: up and parents that cheered for you. So all of 429 00:23:00,680 --> 00:23:03,919 Speaker 5: a sudden, we're adults. We've got no cheering, we've got 430 00:23:04,040 --> 00:23:07,399 Speaker 5: no coach, we've got no one to say we're great. 431 00:23:08,080 --> 00:23:10,760 Speaker 5: So I think the first the other thing, you have 432 00:23:10,800 --> 00:23:14,520 Speaker 5: to be your own cheerleader. And I really think it's 433 00:23:14,520 --> 00:23:18,960 Speaker 5: helpful to find a friend, someone that you enjoy spending 434 00:23:19,080 --> 00:23:22,480 Speaker 5: time with, have something you're accountable to. Or maybe it's 435 00:23:22,480 --> 00:23:26,480 Speaker 5: a class teaching yoga class at the Art Museum and 436 00:23:26,720 --> 00:23:30,000 Speaker 5: the same people come every week and they love it 437 00:23:30,080 --> 00:23:33,080 Speaker 5: and they know people in the class. But I have 438 00:23:33,160 --> 00:23:35,879 Speaker 5: to say, it took the first class. It took the 439 00:23:36,040 --> 00:23:39,440 Speaker 5: jump start to get you there. So if you think 440 00:23:39,680 --> 00:23:43,520 Speaker 5: the getting started is really really hard, good because it is. 441 00:23:44,160 --> 00:23:46,760 Speaker 5: That will be the hardest thing you do is. 442 00:23:46,680 --> 00:23:50,040 Speaker 2: Starting, you know, because I think I think about people, Julie, 443 00:23:50,440 --> 00:23:53,760 Speaker 2: let's just say you know, well, let's just say you 444 00:23:53,760 --> 00:23:57,240 Speaker 2: know you've gone a long time, right, You're you're a 445 00:23:57,280 --> 00:24:01,920 Speaker 2: mom of three. All you're doing is basically a glorified 446 00:24:02,040 --> 00:24:04,640 Speaker 2: cab once they get to a certain time after you're 447 00:24:04,680 --> 00:24:08,240 Speaker 2: coming off the time where you literally had to feed them, 448 00:24:08,280 --> 00:24:10,600 Speaker 2: whether it be from your breast to all of a 449 00:24:10,600 --> 00:24:14,160 Speaker 2: sudden having to make sure they have every single meal, 450 00:24:14,200 --> 00:24:16,000 Speaker 2: and you're the one responsible and now all of a sudden, 451 00:24:16,000 --> 00:24:18,120 Speaker 2: you're the cab driver going to sports, going to music, 452 00:24:18,160 --> 00:24:21,000 Speaker 2: doing and so you've let yourself kind of go, right, 453 00:24:21,400 --> 00:24:24,600 Speaker 2: Dad's the same way. Okay, they've been doing the same stuff. 454 00:24:25,040 --> 00:24:27,320 Speaker 2: Maybe like they're white. They're going to work all day, 455 00:24:27,520 --> 00:24:31,359 Speaker 2: they're coming back home, they're tired, they eat dinner and 456 00:24:31,400 --> 00:24:34,000 Speaker 2: then PLoP right down in front of the tube, right, 457 00:24:34,240 --> 00:24:35,760 Speaker 2: and then the next thing you know, you wake up 458 00:24:35,800 --> 00:24:39,040 Speaker 2: one morning and you're twenty five pounds overweight and your 459 00:24:39,080 --> 00:24:40,959 Speaker 2: doctor's telling you, hey, man, you don't want to get 460 00:24:40,960 --> 00:24:46,000 Speaker 2: adult onset diabetes. Okay, so you say to yourself, if 461 00:24:46,000 --> 00:24:49,840 Speaker 2: you're in that position, what would you say to somebody 462 00:24:49,880 --> 00:24:54,400 Speaker 2: that says, man, I feel terrible. I've let myself go. 463 00:24:55,119 --> 00:24:57,840 Speaker 2: I have got to do something about this, and do 464 00:24:57,960 --> 00:25:01,040 Speaker 2: it now. What would you say to that person? 465 00:25:01,119 --> 00:25:06,960 Speaker 5: First, you're going to be okay. So here's my thought 466 00:25:07,880 --> 00:25:11,119 Speaker 5: is that life is seasonal, and when we're younger, we 467 00:25:11,280 --> 00:25:14,560 Speaker 5: have you know, you're building a career, or you're parenting, 468 00:25:14,720 --> 00:25:18,280 Speaker 5: or you have just big family things to think about, 469 00:25:18,480 --> 00:25:22,080 Speaker 5: and that's okay, and we can get away with it 470 00:25:22,200 --> 00:25:23,240 Speaker 5: for years. 471 00:25:23,359 --> 00:25:24,359 Speaker 4: You can get away with. 472 00:25:24,280 --> 00:25:27,800 Speaker 5: It for years and that's okay, But then you have 473 00:25:27,880 --> 00:25:30,600 Speaker 5: to start looking at you enter another season of your 474 00:25:30,640 --> 00:25:32,679 Speaker 5: life where you don't feel good and you're not a 475 00:25:32,720 --> 00:25:36,160 Speaker 5: good role model for the kids, you don't feel as 476 00:25:36,240 --> 00:25:40,320 Speaker 5: sharp on the job, you're not sleeping well. And someone says, 477 00:25:40,400 --> 00:25:43,320 Speaker 5: you know what, the one of the biggest cures for 478 00:25:43,480 --> 00:25:47,159 Speaker 5: all of that is movement. And someone says, here's the gifts. 479 00:25:47,320 --> 00:25:50,400 Speaker 5: Are you going to open it? But it's the realization 480 00:25:50,560 --> 00:25:54,800 Speaker 5: it's okay, it's fine to start twenty five pounds behind, 481 00:25:55,760 --> 00:25:58,120 Speaker 5: but you know, if you don't start to stayble, then 482 00:25:58,200 --> 00:26:02,000 Speaker 5: start tomorrow. And if you ski today, that's okay. But 483 00:26:02,280 --> 00:26:04,639 Speaker 5: once you know you're on the right road and you 484 00:26:04,760 --> 00:26:07,720 Speaker 5: know you're going to be okay, and you know that. Yes, 485 00:26:07,880 --> 00:26:12,160 Speaker 5: seasons changed, and now your focus has changed. A lot 486 00:26:12,200 --> 00:26:15,320 Speaker 5: of people are starting to become empty nesters. The kids 487 00:26:15,359 --> 00:26:18,760 Speaker 5: don't need them as much. Well, here's your chance. Don't 488 00:26:19,240 --> 00:26:23,120 Speaker 5: lose your chance and find what you love to do. 489 00:26:23,280 --> 00:26:26,679 Speaker 5: If it's not running, maybe it's walking. If it's not pilate's, 490 00:26:26,720 --> 00:26:27,520 Speaker 5: maybe it's yoga. 491 00:26:28,119 --> 00:26:28,359 Speaker 4: Mate. 492 00:26:28,720 --> 00:26:32,200 Speaker 5: So we don't make it complicated. I think that's the 493 00:26:32,280 --> 00:26:33,400 Speaker 5: other thing too. 494 00:26:33,400 --> 00:26:34,240 Speaker 1: Is no doubt. 495 00:26:34,320 --> 00:26:37,000 Speaker 5: You know, you just have to open your front door 496 00:26:38,240 --> 00:26:40,840 Speaker 5: and there it is. I mean, it's free. It is 497 00:26:41,119 --> 00:26:45,760 Speaker 5: absolutely free to exercise. But if you want to complicated 498 00:26:45,880 --> 00:26:52,840 Speaker 5: with gadget protein, dream membership, you know, your cold plunge, your. 499 00:26:52,720 --> 00:26:55,880 Speaker 1: Hospitals, we go there, we go. Right, Yeah, we've. 500 00:26:55,720 --> 00:26:56,800 Speaker 5: Been talking about this. 501 00:26:56,840 --> 00:26:57,800 Speaker 1: There your spot on. 502 00:26:58,040 --> 00:27:01,520 Speaker 2: Though it does you can make did complicate. I loved 503 00:27:01,520 --> 00:27:04,320 Speaker 2: your example there. You can just walk out the front 504 00:27:04,359 --> 00:27:06,800 Speaker 2: door to start. Now, there may come a time where 505 00:27:06,840 --> 00:27:09,920 Speaker 2: you want to do the other stuff. That's fine, right, 506 00:27:10,040 --> 00:27:13,399 Speaker 2: we've all been there, gym memberships, reletically. 507 00:27:12,880 --> 00:27:13,480 Speaker 1: Whatever it might be. 508 00:27:13,680 --> 00:27:17,240 Speaker 2: But you can start with just walking out the front 509 00:27:17,280 --> 00:27:18,560 Speaker 2: door for fifteen minutes. 510 00:27:19,520 --> 00:27:22,160 Speaker 5: You know something, you can't be brave if You've only 511 00:27:22,200 --> 00:27:25,720 Speaker 5: had wonderful things happen to you. So if your bravery 512 00:27:25,800 --> 00:27:28,720 Speaker 5: today is opening the front door and maybe walking up 513 00:27:28,760 --> 00:27:31,760 Speaker 5: and down the street, good for you, you know so, 514 00:27:32,000 --> 00:27:34,719 Speaker 5: And pretty soon you might be walking more. And then 515 00:27:34,760 --> 00:27:37,200 Speaker 5: the next thing you know, you meet someone else walking 516 00:27:37,280 --> 00:27:39,280 Speaker 5: and you walk with them, and the next thing you know, 517 00:27:39,359 --> 00:27:41,639 Speaker 5: they convince you to go to the yoga class. And 518 00:27:42,440 --> 00:27:47,560 Speaker 5: so it is contagious. But I'm never gonna say it's easy. 519 00:27:48,480 --> 00:27:50,719 Speaker 5: But all the good things, if you look back at 520 00:27:50,720 --> 00:27:52,760 Speaker 5: all the good things that have happened to you, Tom, 521 00:27:53,040 --> 00:27:59,200 Speaker 5: they have all come with challenges, hardship, roller coaters. But there, 522 00:27:59,320 --> 00:28:02,280 Speaker 5: here we are, we sit, you know, forty years later. 523 00:28:02,520 --> 00:28:05,600 Speaker 5: We have known each other over forty years, and here 524 00:28:05,640 --> 00:28:09,360 Speaker 5: we are. We're still talking and moving and laughing and 525 00:28:09,440 --> 00:28:12,560 Speaker 5: finding the joy and the laughter in it all. Yeah, 526 00:28:12,720 --> 00:28:15,480 Speaker 5: I think we're gonna be okay. Except for your kip. 527 00:28:16,720 --> 00:28:19,520 Speaker 2: We'll talk about that some other time. Juels, thank you 528 00:28:19,600 --> 00:28:21,360 Speaker 2: so much for your time. You're the best. We love 529 00:28:21,400 --> 00:28:23,639 Speaker 2: having you each and every week. Julius Fording, have a 530 00:28:23,680 --> 00:28:25,080 Speaker 2: great rest of your Tuesday.