1 00:00:05,519 --> 00:00:05,680 Speaker 1: To know. 2 00:00:06,000 --> 00:00:08,760 Speaker 2: So people are starting to freak out about AI and videos. 3 00:00:08,800 --> 00:00:10,559 Speaker 2: They just don't like it. I actually see it a 4 00:00:10,600 --> 00:00:13,400 Speaker 2: lot in my daughter Addie. She hates anything AI. She 5 00:00:13,480 --> 00:00:16,160 Speaker 2: gets freaked out at the way MOS the self driving cars, 6 00:00:16,560 --> 00:00:17,160 Speaker 2: and this is. 7 00:00:17,120 --> 00:00:18,440 Speaker 3: Happening all over the place. 8 00:00:18,480 --> 00:00:21,759 Speaker 2: So even if a clip isn't actually AI made, just 9 00:00:22,280 --> 00:00:25,600 Speaker 2: thinking it is can actually tank trust in a brand. 10 00:00:25,960 --> 00:00:28,920 Speaker 2: So videos with real humans still win. Every single time. 11 00:00:29,120 --> 00:00:32,440 Speaker 2: They're saying brands that are using AI, they got to 12 00:00:32,479 --> 00:00:35,159 Speaker 2: be smart about it, but it helped maybe behind the scenes, 13 00:00:35,159 --> 00:00:37,800 Speaker 2: but keep real faces and voices front and center if 14 00:00:38,320 --> 00:00:41,400 Speaker 2: they want people to believe in them the product, which 15 00:00:41,440 --> 00:00:44,360 Speaker 2: is kind of interesting because like we just don't trust 16 00:00:44,360 --> 00:00:45,040 Speaker 2: AI right now. 17 00:00:45,080 --> 00:00:46,479 Speaker 3: We just don't want to be fooled, you know. 18 00:00:46,680 --> 00:00:48,360 Speaker 4: I was just talking to one of my friends who 19 00:00:48,520 --> 00:00:50,920 Speaker 4: is like kind of in like the medical field, and 20 00:00:50,920 --> 00:00:54,240 Speaker 4: they're saying that AI is like such a good useful 21 00:00:54,240 --> 00:00:56,320 Speaker 4: tool for them because it's able to scan and see 22 00:00:56,400 --> 00:00:58,440 Speaker 4: things that like the human eye can't really see. 23 00:00:58,880 --> 00:00:59,880 Speaker 3: So it's like they're good. 24 00:01:00,040 --> 00:01:02,040 Speaker 4: So there's things like that that it's like, Okay, AI 25 00:01:02,200 --> 00:01:04,600 Speaker 4: really can be making such a huge difference for people, 26 00:01:05,040 --> 00:01:08,160 Speaker 4: But it is scary when it's like the like versions 27 00:01:08,160 --> 00:01:09,000 Speaker 4: of things. 28 00:01:08,720 --> 00:01:12,040 Speaker 2: That aren't real right for accuracy in something like that 29 00:01:12,080 --> 00:01:14,520 Speaker 2: needs to be pinpoint accurate. I mean they use I 30 00:01:14,520 --> 00:01:17,640 Speaker 2: think they use AI in football if like the ball 31 00:01:17,720 --> 00:01:19,760 Speaker 2: is like is this a first down or not? And 32 00:01:19,800 --> 00:01:21,720 Speaker 2: then people trust that. But they don't want to see 33 00:01:21,720 --> 00:01:24,959 Speaker 2: a video of your product with AI because then they 34 00:01:24,959 --> 00:01:26,840 Speaker 2: don't really trust that that's the way it really is. 35 00:01:28,200 --> 00:01:31,680 Speaker 2: This is interesting too. There's something called future faking. If 36 00:01:31,720 --> 00:01:35,160 Speaker 2: someone you're dating keeps painting this amazing future, like we're 37 00:01:35,160 --> 00:01:37,240 Speaker 2: gonna do this, this, and this together, we're gonna go 38 00:01:37,240 --> 00:01:39,960 Speaker 2: to the Maldives, we're gonna go all over the place, trips, 39 00:01:40,040 --> 00:01:44,360 Speaker 2: moving in marriage, but never actually does anything to make 40 00:01:44,400 --> 00:01:45,000 Speaker 2: it happen. 41 00:01:45,240 --> 00:01:46,600 Speaker 3: That is called future faking. 42 00:01:46,640 --> 00:01:50,120 Speaker 2: The trick is to watch what they actually do, not 43 00:01:50,320 --> 00:01:53,120 Speaker 2: just listen to what they're saying. When their actions don't 44 00:01:53,160 --> 00:01:55,559 Speaker 2: match the big promises, it is a sign to pay attention, 45 00:01:55,600 --> 00:01:58,680 Speaker 2: to protect your energy. That's the red flag, instead of 46 00:01:58,720 --> 00:02:00,880 Speaker 2: chasing a someday that may never come. 47 00:02:00,960 --> 00:02:02,000 Speaker 3: Don't get future faked. 48 00:02:02,600 --> 00:02:04,600 Speaker 2: If you ever notice, there are some people who just 49 00:02:04,680 --> 00:02:05,840 Speaker 2: never seem frazzled. 50 00:02:06,000 --> 00:02:08,520 Speaker 3: They're just cool, calm and collected. No matter what. 51 00:02:10,400 --> 00:02:12,720 Speaker 1: Yeah, that's the best example ever. 52 00:02:13,960 --> 00:02:16,800 Speaker 2: They say, those types of people actually do five things 53 00:02:16,840 --> 00:02:21,200 Speaker 2: before ten a m. Calm people knock out small winds. 54 00:02:20,800 --> 00:02:21,720 Speaker 3: Early in the day. 55 00:02:21,880 --> 00:02:24,200 Speaker 2: They make their bed, they get dressed, they plan their 56 00:02:24,280 --> 00:02:27,960 Speaker 2: day instead of winging it. They move their body, even briefly, 57 00:02:28,040 --> 00:02:30,160 Speaker 2: not like an hour workout, just move your body to 58 00:02:30,280 --> 00:02:33,680 Speaker 2: clear stress, and they give themselves something to look forward 59 00:02:33,680 --> 00:02:37,320 Speaker 2: to later on. These simple habits can actually create structure 60 00:02:37,400 --> 00:02:40,359 Speaker 2: and momentum before the chaos stops. And basically they say, 61 00:02:40,360 --> 00:02:42,760 Speaker 2: if you're doing those things, just be prepared to be 62 00:02:42,880 --> 00:02:45,799 Speaker 2: unbothered and calm through all the storm. 63 00:02:45,960 --> 00:02:47,240 Speaker 3: And that's three things you need to know. 64 00:02:47,639 --> 00:02:48,640 Speaker 5: Kayleah, good morning. 65 00:02:48,639 --> 00:02:51,920 Speaker 6: You're in the air than a good morning. I was 66 00:02:52,000 --> 00:02:54,600 Speaker 6: calling because I listened to you guys a couple of 67 00:02:54,680 --> 00:02:57,880 Speaker 6: podcasts this weekend and Rich, I have to say, you 68 00:02:57,880 --> 00:02:59,840 Speaker 6: guys are my favorite couple, Like of all the couples 69 00:02:59,880 --> 00:03:02,840 Speaker 6: I do it. I think you and Stacy are so cute, 70 00:03:02,960 --> 00:03:07,320 Speaker 6: so quirky, and I just I love you guys, and 71 00:03:08,480 --> 00:03:11,320 Speaker 6: I couldn't. I was laughing at Stacy because her saying 72 00:03:11,320 --> 00:03:14,200 Speaker 6: that she'd rather people be late than early. I was like, 73 00:03:14,240 --> 00:03:17,360 Speaker 6: having so much anxiety I'm like, girl, he want people 74 00:03:17,360 --> 00:03:18,480 Speaker 6: to be late instead of early. 75 00:03:18,720 --> 00:03:19,519 Speaker 3: Well, that's a problem. 76 00:03:19,960 --> 00:03:22,760 Speaker 1: Agree with her there me too, because I'm usually early 77 00:03:22,960 --> 00:03:27,359 Speaker 1: or on time and she is always, always, always, always later. 78 00:03:28,960 --> 00:03:30,720 Speaker 6: I'm like, oh my gosh, I would have been one 79 00:03:30,760 --> 00:03:32,600 Speaker 6: of those people early, thinking I was doing something good. 80 00:03:32,960 --> 00:03:35,400 Speaker 1: But she's so convincing. And I realized why because her 81 00:03:35,440 --> 00:03:37,880 Speaker 1: dad's a Troyal trial lawyer and I was with him 82 00:03:37,880 --> 00:03:40,480 Speaker 1: a little bit that she can somehow convince you that 83 00:03:40,560 --> 00:03:44,480 Speaker 1: being late is better than being early. Somehow she marches 84 00:03:44,520 --> 00:03:47,760 Speaker 1: down that road and just will not relent. But yeah, 85 00:03:47,800 --> 00:03:49,600 Speaker 1: I think it's bad to be early, John Jay, I 86 00:03:49,640 --> 00:03:51,520 Speaker 1: know you're you're like two hours early for I always 87 00:03:51,520 --> 00:03:53,120 Speaker 1: get early, try to be early for weeks. 88 00:03:53,160 --> 00:03:53,520 Speaker 3: I don't like. 89 00:03:58,120 --> 00:03:58,280 Speaker 4: Her. 90 00:03:58,400 --> 00:04:02,560 Speaker 6: Was just listening. Sorry. The guitar stuff at the end, 91 00:04:02,600 --> 00:04:04,520 Speaker 6: I just thought was so cute, like she's all in 92 00:04:04,560 --> 00:04:07,920 Speaker 6: your world and yeah, yeah. 93 00:04:07,760 --> 00:04:09,800 Speaker 1: She knows all the guitar nerds too from just hanging 94 00:04:09,840 --> 00:04:11,600 Speaker 1: out with me, which is surprised, right. 95 00:04:11,680 --> 00:04:13,560 Speaker 6: She's like, you're like, what would you say to this person? 96 00:04:13,600 --> 00:04:15,360 Speaker 6: And she like knew all of them, and I was like, dang, girl, 97 00:04:15,440 --> 00:04:16,960 Speaker 6: you go she did. 98 00:04:17,000 --> 00:04:19,080 Speaker 1: She did talk to a lot of like rock stars 99 00:04:19,120 --> 00:04:22,080 Speaker 1: at the thing. I went to the conference and she 100 00:04:22,200 --> 00:04:23,880 Speaker 1: was in her element. She knew, she knew a lot 101 00:04:23,880 --> 00:04:24,360 Speaker 1: more than I did. 102 00:04:26,440 --> 00:04:30,400 Speaker 6: That's awesome. Oh, you're welcome. How do you get any guys? 103 00:04:30,880 --> 00:04:33,600 Speaker 5: And you can hear the couple's podcast. It's wherever you 104 00:04:33,640 --> 00:04:36,480 Speaker 5: get podcasts search John Jay and Rich on demand. It's uh, 105 00:04:36,800 --> 00:04:38,560 Speaker 5: it was yesterday drops every Sunday we have a new 106 00:04:38,560 --> 00:04:41,440 Speaker 5: couples of podcasts, and yesterday was Rich and Stacy, John 107 00:04:41,520 --> 00:04:45,040 Speaker 5: Jay and Rich on demand. Kyle just total side not 108 00:04:45,080 --> 00:04:46,599 Speaker 5: I just thought of something. I bet you if you 109 00:04:46,640 --> 00:04:48,640 Speaker 5: watched that Sky's Gippers show, it'd be fun for you 110 00:04:48,680 --> 00:04:50,840 Speaker 5: and your kids to watch it in real time, like 111 00:04:50,880 --> 00:04:52,920 Speaker 5: not fast forward through it because it is gripping. 112 00:04:53,520 --> 00:04:56,440 Speaker 3: Oh I'm sure, I bet you it is. 113 00:04:57,000 --> 00:05:00,800 Speaker 2: It's like, how long does it that I pointed in 114 00:05:00,839 --> 00:05:01,400 Speaker 2: real time