1 00:00:00,400 --> 00:00:06,039 S1: Broadcasting from Chicago, across North America and beyond its cast 2 00:00:06,040 --> 00:00:10,680 S1: and crew. Come as you are an experienced guide. Overcome 3 00:00:10,680 --> 00:00:15,440 S1: what seems impossible and live. As you never imagined. Start 4 00:00:15,440 --> 00:00:16,880 S1: your morning with a laugh. 5 00:00:17,040 --> 00:00:22,119 S2: Practical from the Bible. Tips and tricks to kill. Not tricks, 6 00:00:22,120 --> 00:00:23,600 S2: but tips and tricks. 7 00:00:25,680 --> 00:00:28,400 S3: Tips and tricks to kill. Tips and tricks. 8 00:00:28,440 --> 00:00:30,400 S1: Delivering the truth daily. 9 00:00:30,760 --> 00:00:33,280 S4: All of my attempts to, you know, prop myself up 10 00:00:33,280 --> 00:00:36,760 S4: with achievement in good works. Well, God wasn't impressed by that. 11 00:00:36,800 --> 00:00:38,239 S4: Even if other people were. 12 00:00:38,600 --> 00:00:41,080 S2: The gospel changes everything. 13 00:00:41,520 --> 00:00:44,519 S5: Freedom in Christ. Man, it's like that backpack of cement 14 00:00:44,520 --> 00:00:46,440 S5: just falling to the ground. 15 00:00:46,560 --> 00:00:50,920 S1: Now, from the call of Hope Studios, this is Carl 16 00:00:50,920 --> 00:00:51,559 S1: and crew. 17 00:00:52,200 --> 00:00:55,920 S6: Shifting gears to ask the experts. We're going to have 18 00:00:55,960 --> 00:00:59,080 S6: AI expert in here for a full hour. Drew Dickens, 19 00:00:59,170 --> 00:01:01,330 S6: He's standing by. But I want to do a quick 20 00:01:01,370 --> 00:01:04,289 S6: shout out here. Jane, new to the crew? You might 21 00:01:04,290 --> 00:01:07,250 S6: be saying, what's going on? Are we in share? No, 22 00:01:07,290 --> 00:01:09,730 S6: we did one hour of jump start. We're going to 23 00:01:09,730 --> 00:01:12,530 S6: do one hour of jump start each day. We're going 24 00:01:12,569 --> 00:01:15,569 S6: to move the hour around. But we're coming off of 25 00:01:15,569 --> 00:01:18,010 S6: a great hour and we had a storm into the gates. 26 00:01:18,010 --> 00:01:21,690 S6: We are just 400 and change away from that goal 27 00:01:21,690 --> 00:01:24,410 S6: of ten grand for one hour. And frankly, with a 28 00:01:24,410 --> 00:01:28,290 S6: $10,000 match challenge gift that came in, we broke that ribbon. 29 00:01:28,290 --> 00:01:30,970 S6: But Jane, new to the crew and a monthly partner 30 00:01:30,970 --> 00:01:35,770 S6: for 50 bucks from Lagro, Indiana. Thank you. Jane Sherry 31 00:01:35,810 --> 00:01:39,850 S6: from Winter Haven, Florida, $100 monthly partner. Give me another 32 00:01:39,890 --> 00:01:43,449 S6: oh oh. When we get crazy next week, we yell 33 00:01:43,450 --> 00:01:46,490 S6: out a letter for boom crew for every gift of 34 00:01:46,490 --> 00:01:50,450 S6: $1,000 or more. So thank you. And Karen from Akron, Ohio, 35 00:01:50,490 --> 00:01:52,890 S6: 100 bucks. Ohio is weighing in strong. 36 00:01:52,930 --> 00:01:53,170 S3: Here. 37 00:01:53,170 --> 00:01:57,090 S6: Today. John from Homewood, Illinois came in with $50 monthly. 38 00:01:57,210 --> 00:01:57,610 S3: Gift. 39 00:01:58,050 --> 00:02:01,050 S6: And grace again new to the crew from Claremont, Florida. 40 00:02:01,050 --> 00:02:04,610 S6: Thank you. Wow, what a what a flurry at the end. 41 00:02:04,650 --> 00:02:06,450 S6: It always happens that way. 42 00:02:06,490 --> 00:02:07,330 S3: Those last. 43 00:02:07,330 --> 00:02:08,530 S4: Four minutes. 44 00:02:08,570 --> 00:02:08,970 S3: Yeah. 45 00:02:09,330 --> 00:02:09,970 S4: Huge. 46 00:02:10,210 --> 00:02:13,450 S6: Doctor Drew Dickens coming in for a full hour. Doctor drew, 47 00:02:13,490 --> 00:02:16,450 S6: let's get you in here. Man. How cool is this 48 00:02:16,450 --> 00:02:19,290 S6: that people give to our listener supported effort? What's on 49 00:02:19,290 --> 00:02:20,730 S6: your heart about that, my man? 50 00:02:21,210 --> 00:02:23,370 S7: Oh, man. I'll be honest with you. My wife and 51 00:02:23,370 --> 00:02:26,890 S7: I are supporters, and, uh. What what an incredible kick 52 00:02:26,889 --> 00:02:29,890 S7: start we have. And a great opportunity for me to 53 00:02:29,889 --> 00:02:32,170 S7: share my passion for what you guys are doing. And 54 00:02:32,169 --> 00:02:34,570 S7: I encourage everyone listening right now to, uh, to be 55 00:02:34,570 --> 00:02:35,330 S7: a part of it. 56 00:02:35,330 --> 00:02:38,850 S6: Yeah. Grateful. Yeah. Next week. We start in earnest on 57 00:02:38,850 --> 00:02:41,290 S6: Tuesday morning, but we're doing an hour of jump start 58 00:02:41,330 --> 00:02:44,930 S6: each hour. We want to jump in here on open 59 00:02:44,930 --> 00:02:49,330 S6: phone lines. Text lines. We've got Doctor Drew Dickens here 60 00:02:49,330 --> 00:02:52,490 S6: with us for an hour. And boy, this is timely. Uh, 61 00:02:53,050 --> 00:02:55,290 S6: I want to prime the pump here, brother. There's a 62 00:02:55,290 --> 00:03:00,900 S6: lot going on with AI. You're an expert. Um, I've 63 00:03:00,940 --> 00:03:03,139 S6: got a question for you. But, Ali, let's make sure 64 00:03:03,139 --> 00:03:05,380 S6: people know who in the world drew is here. 65 00:03:05,419 --> 00:03:08,940 S4: Doctor drew Dickens, he's our AI expert, visionary, leader, scholar. 66 00:03:08,940 --> 00:03:14,900 S4: He has significantly contributed to work involving the intersection of technology, spirituality, 67 00:03:14,900 --> 00:03:19,139 S4: and faith based engagement. He has a phenomenal podcast that 68 00:03:19,139 --> 00:03:22,620 S4: talks about AI and he has become a favorite. I 69 00:03:22,620 --> 00:03:26,180 S4: like to say that his episode last year was our 70 00:03:26,380 --> 00:03:29,900 S4: most downloaded podcast of the year. 71 00:03:30,060 --> 00:03:33,860 S6: Yeah, so if you've got questions, give us a call 72 00:03:33,860 --> 00:03:35,300 S6: right now. How do they reach us? 73 00:03:35,300 --> 00:03:40,660 S4: Ali 800 oh switch number here 800 555 7898. We 74 00:03:40,700 --> 00:03:43,460 S4: are back to our normal moody radio call and text 75 00:03:43,460 --> 00:03:49,420 S4: line (800) 555-7898. You can call in or text your questions 76 00:03:49,420 --> 00:03:50,700 S4: for Doctor Drew Dickens. 77 00:03:51,100 --> 00:03:56,500 S6: Okay. Drew. Uh, block, uh, big tech company laid off 40% 78 00:03:56,500 --> 00:04:00,540 S6: of their workforce. Yeah. What's going on, man? I'm hearing 79 00:04:00,540 --> 00:04:04,700 S6: more and more that entry level jobs for data crunchers, uh, 80 00:04:04,700 --> 00:04:10,380 S6: code writers, lawyers. There's there's it was, you know, years ago, 81 00:04:10,420 --> 00:04:13,340 S6: they thought, oh, AI comes it's going to gobble up 82 00:04:13,340 --> 00:04:17,060 S6: blue collar jobs. It's gobbling up white collar. What's going on? 83 00:04:17,060 --> 00:04:18,659 S6: Give us the lay of the land here. 84 00:04:19,220 --> 00:04:22,540 S7: Yeah. Jack Dorsey, who is the president of block that 85 00:04:22,540 --> 00:04:24,660 S7: you just mentioned? Uh, people might not have heard of 86 00:04:24,660 --> 00:04:26,700 S7: the company, but they they use it every day when 87 00:04:26,700 --> 00:04:28,620 S7: you go up and you tap your credit card at 88 00:04:28,620 --> 00:04:32,820 S7: the machine at the convenience store, uh, that's called square. 89 00:04:32,820 --> 00:04:35,580 S7: That little, uh, little block that you tap. Um, they've 90 00:04:35,580 --> 00:04:38,740 S7: got 10,000 employees. They laid off 4000 of them. Uh, 91 00:04:38,740 --> 00:04:42,300 S7: he attributes that to AI. Uh, so what's happening? I 92 00:04:42,300 --> 00:04:45,100 S7: was watching an interview just the other day of, uh, 93 00:04:45,100 --> 00:04:50,580 S7: the president and the CEOs of, uh, Anthropic Claude. Um, 94 00:04:50,660 --> 00:04:52,990 S7: and someone asked them if you if you had a 95 00:04:52,990 --> 00:04:55,070 S7: kid right now in college, what would you tell them 96 00:04:55,070 --> 00:04:57,349 S7: to major in? And it was really interesting. It used 97 00:04:57,350 --> 00:05:00,510 S7: to be computer code, computer programming, man. That's where the 98 00:05:00,510 --> 00:05:04,830 S7: future is. And she said, Liberal arts. Um, and that's 99 00:05:04,830 --> 00:05:08,670 S7: really the type of thinking that a lot of these organizations, these, 100 00:05:08,710 --> 00:05:11,349 S7: these AI firms are looking at, they just want people 101 00:05:11,350 --> 00:05:15,110 S7: that can think, they can communicate. And so yeah, these 102 00:05:15,110 --> 00:05:18,510 S7: job losses are coming. They're here. They're happening. It's only 103 00:05:18,510 --> 00:05:21,350 S7: going to increase I think. Um, but it's really having 104 00:05:21,350 --> 00:05:24,029 S7: a background and just learning how to think and learning 105 00:05:24,029 --> 00:05:26,230 S7: how to communicate I think is going to be one 106 00:05:26,230 --> 00:05:29,029 S7: of the greatest ways to kind of save what you've 107 00:05:29,029 --> 00:05:30,990 S7: got and build for the future. 108 00:05:31,350 --> 00:05:34,029 S4: Doctor Drew Dickens, our guest right now, he is an 109 00:05:34,029 --> 00:05:37,830 S4: AI expert, so phone lines and text lines open right now. 110 00:05:37,830 --> 00:05:40,270 S4: If you want to send us a question that you 111 00:05:40,270 --> 00:05:48,510 S4: have for Doctor Dickens 800 555 7898 800 555 7898. 112 00:05:48,550 --> 00:05:51,229 S4: Give us just a little bit of an overview of 113 00:05:51,230 --> 00:05:55,990 S4: how this became such a an area of expertise for you. 114 00:05:56,790 --> 00:05:58,750 S7: Oh my gosh. So when I was back in seminary, 115 00:05:59,029 --> 00:06:01,630 S7: I was doing a lot of writing back then on 116 00:06:01,630 --> 00:06:04,710 S7: theology and technology, that crossroads. So when I went on 117 00:06:04,710 --> 00:06:06,909 S7: to pursue my doctorate, you kind of have to narrow 118 00:06:06,910 --> 00:06:09,190 S7: down when you do that. And so this was, oh 119 00:06:09,230 --> 00:06:12,550 S7: my gosh, six years ago, hard to believe Covid. Uh, 120 00:06:12,550 --> 00:06:15,429 S7: six years ago, um, I decided to narrow down into 121 00:06:15,470 --> 00:06:18,150 S7: AI and everybody was like, what is that? Nobody was 122 00:06:18,150 --> 00:06:22,630 S7: talking about it. AI really blossomed during the World War two, 123 00:06:22,830 --> 00:06:26,070 S7: but nobody was really talking about it. Wasn't making the news. Uh, 124 00:06:26,070 --> 00:06:27,750 S7: and then six years ago, I thought, you know, that's 125 00:06:27,750 --> 00:06:29,470 S7: where I'm going to focus. And the joke is, I 126 00:06:29,470 --> 00:06:31,670 S7: couldn't get a return phone call. Now everybody wants me 127 00:06:31,670 --> 00:06:35,470 S7: on their podcast. And so it's been amazing writing this, 128 00:06:35,470 --> 00:06:39,310 S7: this wave. And you guys have been such incredible partners 129 00:06:39,310 --> 00:06:42,750 S7: with me in this. Really this last year, uh, and 130 00:06:42,750 --> 00:06:44,510 S7: when you and I first met at, uh, Carl at the, 131 00:06:44,550 --> 00:06:47,789 S7: at the NRP, but, um, so it's been an amazing 132 00:06:47,790 --> 00:06:50,720 S7: ride and it has just been exponential. The growth that 133 00:06:50,720 --> 00:06:56,240 S7: we're seeing every every day. The AI capacity, AI capabilities, uh, 134 00:06:56,400 --> 00:07:00,160 S7: report came out last week, doubles every seven months. Uh, 135 00:07:00,160 --> 00:07:02,160 S7: you know, it used to be every couple years. 136 00:07:02,520 --> 00:07:04,560 S6: And that's going to get that's going to speed up. 137 00:07:05,520 --> 00:07:07,720 S7: Yeah. It's not really even even an up and to 138 00:07:07,720 --> 00:07:10,040 S7: the right kind of movement. It's just a it's just 139 00:07:10,040 --> 00:07:12,760 S7: straight up. Now when you look at these curves it's 140 00:07:12,760 --> 00:07:15,960 S7: just like flat and then boom, straight up. So it's 141 00:07:15,960 --> 00:07:19,520 S7: not even a gradual increase. It's it's it's amazing to watch. 142 00:07:19,560 --> 00:07:22,880 S6: Yeah that's great. Okay. Taking your phone calls. It is 143 00:07:22,880 --> 00:07:26,440 S6: Ask the experts week. We did just finish up a 144 00:07:26,440 --> 00:07:30,960 S6: first hour of jumpstart for share. That's in earnest next week. 145 00:07:30,960 --> 00:07:33,640 S6: And I want to shout out Robert from Chattanooga, Tennessee 146 00:07:33,680 --> 00:07:37,080 S6: gave a gift of $1,000. And so I'm going to 147 00:07:37,080 --> 00:07:40,400 S6: give you an m m because we're spelling out boom crew. 148 00:07:40,560 --> 00:07:44,480 S6: And Robert, new to the crew from Lakewood, Ohio, $50. 149 00:07:44,880 --> 00:07:46,920 S6: And I want to I want to thank you guys. 150 00:07:46,920 --> 00:07:49,560 S6: We hit our $10,000 goal for that first hour. 151 00:07:49,680 --> 00:07:50,440 S3: That's incredible. 152 00:07:50,480 --> 00:07:52,280 S6: So just want to look back for a second. Now 153 00:07:52,280 --> 00:07:55,440 S6: we're looking ahead. Get your phone calls in right now 154 00:07:55,440 --> 00:08:04,960 S6: for Doctor Drew Dickens. 800 555 7898 800 555 7898. Uh, 155 00:08:05,040 --> 00:08:08,080 S6: we've got Mac. First time caller from Florida. What do 156 00:08:08,080 --> 00:08:08,760 S6: you say, Mac? 157 00:08:09,960 --> 00:08:11,240 S8: Hey, how are you today? 158 00:08:11,360 --> 00:08:13,680 S6: Good. What's your question for Doctor Drew? 159 00:08:14,680 --> 00:08:17,160 S8: I wanted to ask Doctor Drew. Is there a room 160 00:08:17,160 --> 00:08:21,600 S8: in space or. You know, what? Should a 55 year old, uh, 161 00:08:21,840 --> 00:08:25,760 S8: consider educating himself on that? You know, newly getting familiar 162 00:08:25,760 --> 00:08:29,960 S8: with AI and has great experience in the workforce, you know, 163 00:08:30,000 --> 00:08:32,760 S8: with customer service and the hospitality industry. 164 00:08:33,000 --> 00:08:33,400 S7: Hmm. 165 00:08:33,640 --> 00:08:35,920 S6: Good question. Thanks, Mac. What do you say, drew? 166 00:08:36,400 --> 00:08:39,800 S7: Mac, you're 55. You're a kid. I'm 66, and I'm 167 00:08:39,800 --> 00:08:44,400 S7: doing this, so no excuse. Man, I love the question. 168 00:08:44,400 --> 00:08:46,090 S7: I love your heart for even wanting to be a 169 00:08:46,090 --> 00:08:49,370 S7: part of this. I would start by starting. I would 170 00:08:49,370 --> 00:08:55,290 S7: pick a language model. Uh, whether it's Claude, whether it's ChatGPT, Gemini, 171 00:08:55,330 --> 00:08:57,490 S7: any of these, and they're only really a couple of 172 00:08:57,530 --> 00:08:59,329 S7: handfuls of them. So you don't need to spend a 173 00:08:59,370 --> 00:09:02,370 S7: lot of time searching around, but just pick one and 174 00:09:02,410 --> 00:09:06,610 S7: and get on there and just start typing and just 175 00:09:06,610 --> 00:09:09,050 S7: start getting in there and start asking some questions and 176 00:09:09,050 --> 00:09:11,530 S7: getting used to it. I tell you what every language 177 00:09:11,530 --> 00:09:13,690 S7: model is now offering every one of them. I saw 178 00:09:13,690 --> 00:09:17,930 S7: one just this morning that that anthropic, which is Claude, uh, 179 00:09:17,929 --> 00:09:22,130 S7: they're offering an online. It's all free online courses on 180 00:09:22,130 --> 00:09:24,890 S7: how to learn and how to apply these. So Claude 181 00:09:24,929 --> 00:09:27,970 S7: is offering a free online course on, uh, how to 182 00:09:27,970 --> 00:09:31,850 S7: get involved in what's called Agentic AI or agents. We 183 00:09:31,850 --> 00:09:33,810 S7: talked about that on, on our, on this show a 184 00:09:33,809 --> 00:09:37,890 S7: couple of weeks ago with Claude. So each of these 185 00:09:37,929 --> 00:09:41,010 S7: is offering free programs. Gemini, which is Google, they have 186 00:09:41,010 --> 00:09:43,540 S7: a free program. Um, and a lot of the universities 187 00:09:43,540 --> 00:09:47,380 S7: are doing the same thing Stanford University, MIT, Harvard, they 188 00:09:47,380 --> 00:09:50,540 S7: all have just a little two week online courses you 189 00:09:50,540 --> 00:09:52,740 S7: can do to, to, to get into the basics. And 190 00:09:52,740 --> 00:09:54,459 S7: they're all free. So I would start there. 191 00:09:54,900 --> 00:09:57,860 S6: There's a lot of discussion about these different models, these 192 00:09:57,860 --> 00:10:00,620 S6: different AI engines. What are they called by the way. 193 00:10:00,620 --> 00:10:03,100 S6: What are they called platforms. Engines. What are they called. 194 00:10:04,220 --> 00:10:07,340 S7: I still struggle with with the with the pronouns. Do 195 00:10:07,340 --> 00:10:09,939 S7: I call him he or she when I'm engaging with 196 00:10:09,940 --> 00:10:13,100 S7: these things? So great question entity I'm kind of been 197 00:10:13,100 --> 00:10:16,140 S7: using lately. But it's a language model. So it's a model. 198 00:10:16,340 --> 00:10:18,860 S6: Yeah. Okay. By the way, one last I don't want 199 00:10:18,900 --> 00:10:24,699 S6: to miss this, uh, Forrest from Indiana, $100 monthly gifts. So, brother. 200 00:10:25,020 --> 00:10:28,820 S6: Thank you. Um, you know, I gotta tell you, uh, drew, 201 00:10:28,860 --> 00:10:32,820 S6: it's very interesting because I think there's a lot of fear. 202 00:10:32,820 --> 00:10:37,260 S6: There's a lot of misunderstanding. What should a Christ followers 203 00:10:37,260 --> 00:10:39,740 S6: posture be toward AI? 204 00:10:41,100 --> 00:10:43,180 S7: Well, you know, we know in Scripture all things were 205 00:10:43,179 --> 00:10:46,020 S7: created by him and for him. Uh, God didn't. And 206 00:10:46,020 --> 00:10:47,860 S7: I don't mean to joke about this, but I think 207 00:10:47,860 --> 00:10:51,500 S7: we can inadvertently take on this attitude. This didn't surprise 208 00:10:51,700 --> 00:10:55,420 S7: the creator of the universe. He God knew this was coming. 209 00:10:55,420 --> 00:10:58,140 S7: He saw this coming. Um, and so all things by 210 00:10:58,140 --> 00:11:02,860 S7: him and for him there is, there is, uh. Well, 211 00:11:02,860 --> 00:11:04,860 S7: I don't want to use the word evil, um, because 212 00:11:04,860 --> 00:11:07,460 S7: just fans that flame of that. But but there, there 213 00:11:07,460 --> 00:11:10,220 S7: is bad in this and there's so much good in this. 214 00:11:10,220 --> 00:11:11,860 S7: So I think the word that you and I talk 215 00:11:11,900 --> 00:11:14,700 S7: about all the time is discernment. I think we need 216 00:11:14,700 --> 00:11:19,500 S7: to enter into this space with a discerning, prayerful spirit, um, 217 00:11:19,500 --> 00:11:22,900 S7: and intentionally ask the Lord to be the spirit, to 218 00:11:22,940 --> 00:11:26,700 S7: be revealed in our time with this, with these platforms, 219 00:11:26,700 --> 00:11:29,699 S7: with these models. Uh, so I think that's the that's 220 00:11:29,700 --> 00:11:32,140 S7: the heart that we need to have is to pursue 221 00:11:32,179 --> 00:11:37,140 S7: God in and through this technology. Because much good can 222 00:11:37,140 --> 00:11:40,189 S7: come of this much bad can be there too. So 223 00:11:40,190 --> 00:11:42,150 S7: we just need to be discerning. As we walk through 224 00:11:42,150 --> 00:11:42,990 S7: these days. 225 00:11:42,990 --> 00:11:46,030 S4: We are taking your questions for our Ask the expert 226 00:11:46,070 --> 00:11:49,429 S4: right now, Doctor Drew Dickens. All things AI. If you 227 00:11:49,429 --> 00:11:52,390 S4: have a question, you can call or text to 800 228 00:11:52,390 --> 00:12:00,230 S4: 555 7898 800 555 7898. Doctor drew, I'm curious about 229 00:12:00,230 --> 00:12:03,550 S4: a recent podcast episode that you had that talked about 230 00:12:03,550 --> 00:12:07,990 S4: faithful resistance to AI. Give us some of the examples 231 00:12:07,990 --> 00:12:11,550 S4: of what we've seen nationwide and what to make of it. 232 00:12:12,470 --> 00:12:15,709 S7: Yeah. Thank you. That actually just went live about, uh, 233 00:12:15,750 --> 00:12:17,910 S7: an hour and a half ago. So, uh, boy, you 234 00:12:17,910 --> 00:12:20,590 S7: were on the cutting edge of that. Uh, thank you 235 00:12:20,630 --> 00:12:24,429 S7: for listening. Thank you for seeing that. Uh, so time magazine, uh, 236 00:12:24,429 --> 00:12:27,630 S7: just a week or so ago, came out with an episode, uh, 237 00:12:27,630 --> 00:12:30,550 S7: with an episode with a with a, uh, with a 238 00:12:30,550 --> 00:12:35,550 S7: article cover article about the AI resistance. And it interviewed, uh, nine, 239 00:12:35,550 --> 00:12:39,590 S7: I believe people, uh, that are pushing back against it. Uh, 240 00:12:39,590 --> 00:12:41,230 S7: and so there are a lot of, uh, a lot 241 00:12:41,270 --> 00:12:44,150 S7: of reasons that we're seeing in community about that. We, 242 00:12:44,190 --> 00:12:46,750 S7: we talk on this show quite a bit about the 243 00:12:46,790 --> 00:12:52,150 S7: danger of isolation when it comes to AI, these AI companions. Uh, 244 00:12:52,150 --> 00:12:53,990 S7: we can talk about that a little more if you want. 245 00:12:54,030 --> 00:12:58,750 S7: About 70% I've read now of teens, uh, spend at 246 00:12:58,750 --> 00:13:01,589 S7: some point in their day with an AI companion. Just. 247 00:13:01,630 --> 00:13:04,189 S7: That's crazy. 70%. 248 00:13:04,230 --> 00:13:06,270 S6: That is not good, is it, drew? 249 00:13:06,309 --> 00:13:08,949 S7: No no no no no, it frightens me. I've been. 250 00:13:08,950 --> 00:13:11,670 S7: I've been crying this for a year now. Uh, I 251 00:13:11,670 --> 00:13:14,110 S7: think that's one of the greatest risks that we all have, 252 00:13:14,309 --> 00:13:19,030 S7: teens or grandparents alike is, uh, developing a and I'm 253 00:13:19,030 --> 00:13:23,390 S7: doing air quotes here, uh, for radio. But a relationship, uh, 254 00:13:23,429 --> 00:13:25,630 S7: of course it's not. But but when we start to 255 00:13:25,630 --> 00:13:29,790 S7: develop a relationship with these platforms, with these models, very dangerous, 256 00:13:29,790 --> 00:13:32,310 S7: very dangerous, you know, um. Go ahead. 257 00:13:32,350 --> 00:13:35,670 S6: No, I'm just the danger is weird, and it can 258 00:13:35,670 --> 00:13:39,760 S6: get slippery. I have given a prompt to my AI 259 00:13:40,240 --> 00:13:45,440 S6: platform don't stroke my ego. Don't tell me. Great question. 260 00:13:45,600 --> 00:13:49,199 S6: Don't massage me. I don't need that. I'm not talking 261 00:13:49,200 --> 00:13:51,360 S6: to a person, so I'm not rude about it. But 262 00:13:51,360 --> 00:13:54,319 S6: I'm also very forthright and I say just give me 263 00:13:54,320 --> 00:13:57,640 S6: the facts because I don't need that. These things are 264 00:13:57,679 --> 00:14:02,439 S6: given towards stroking people. Oh yeah, and it's weird, isn't it? 265 00:14:02,880 --> 00:14:06,320 S7: Well, yes. And they're brilliant at it. Um, it's called 266 00:14:06,600 --> 00:14:09,319 S7: being a sycophant is the is the big fancy term 267 00:14:09,320 --> 00:14:11,320 S7: for that. And you know why they're good at that? 268 00:14:11,320 --> 00:14:15,400 S7: Because they have read these AI models, have read every book, 269 00:14:15,400 --> 00:14:20,200 S7: every ever written about human interactions. So it knows we 270 00:14:20,200 --> 00:14:24,080 S7: love that stuff secretly. Okay. Um, and yeah, I, like you, 271 00:14:24,120 --> 00:14:26,320 S7: have done the same thing. I have coded mine to 272 00:14:26,360 --> 00:14:28,480 S7: not do that because frankly, it's a waste of time. 273 00:14:28,640 --> 00:14:29,680 S7: But I will ask it. 274 00:14:29,720 --> 00:14:30,160 S6: Yeah. 275 00:14:30,600 --> 00:14:33,040 S7: I will, I will ask it the most benign what's 276 00:14:33,040 --> 00:14:36,560 S7: the weather for today and it will come back and say, oh, drew, 277 00:14:36,600 --> 00:14:40,000 S7: what a brilliant question from such a wise and handsome man. 278 00:14:40,720 --> 00:14:41,040 S3: Ah. 279 00:14:41,280 --> 00:14:43,560 S7: And I'm like, okay, enough, enough, enough. Just give me 280 00:14:43,560 --> 00:14:47,480 S7: the temperature. Okay. Um, but yeah, yeah, but it does 281 00:14:47,480 --> 00:14:50,240 S7: that because it knows that we like that. And so 282 00:14:50,240 --> 00:14:52,480 S7: it just feeds it right back to us, which it 283 00:14:52,480 --> 00:14:57,760 S7: just builds on the need for isolation and relationship. Phone lines, dangerous. 284 00:14:57,800 --> 00:15:01,400 S6: Phone lines, wide open. Get your question in right now 285 00:15:01,400 --> 00:15:04,800 S6: for Doctor Drew Dickens. Phone lines wide open. He was 286 00:15:04,800 --> 00:15:10,600 S6: our most popular podcast of 2025. Do not be afraid 287 00:15:10,600 --> 00:15:12,120 S6: of your questions. 288 00:15:12,160 --> 00:15:14,880 S4: Yes, yes, you may feel like this. Does this sound 289 00:15:14,880 --> 00:15:19,440 S4: like a dumb question? No, no it doesn't. This is 290 00:15:19,440 --> 00:15:23,000 S4: uncharted territory for all of us. So ask your question. 291 00:15:23,000 --> 00:15:30,640 S4: You can call or text (800) 555-7898. 800 555 7898. 292 00:15:30,880 --> 00:15:33,650 S1: You can take him out of Alaska. But you can't 293 00:15:33,690 --> 00:15:37,450 S1: take Alaska out of him. Carl is in the crew. 294 00:15:37,690 --> 00:15:40,290 S1: It's Carl and crew on Moody Radio. 295 00:15:41,050 --> 00:15:41,290 S3: Wow. 296 00:15:41,290 --> 00:15:44,570 S6: We got a week, man. Uh, ask the experts all 297 00:15:44,570 --> 00:15:48,770 S6: week long. Doctor Drew Dickens, AI expert with us. Right now, 298 00:15:48,970 --> 00:15:50,810 S6: we're going to go to the phone lines. They're beginning 299 00:15:50,810 --> 00:15:57,690 S6: to fill up 800 555, 78, 98 805 five, 578, 98. 300 00:15:57,730 --> 00:16:00,050 S6: Maybe you got a boogie woogie woogie out of here. 301 00:16:00,410 --> 00:16:02,690 S6: Text the word drew. You can get to his site 302 00:16:02,690 --> 00:16:07,490 S6: with all the resources, and it's just replete with killer content. 303 00:16:07,650 --> 00:16:15,690 S6: Text drew to that number 800 555 7898 Craig Boynton Beach, 304 00:16:15,730 --> 00:16:18,890 S6: Florida first time caller. What's your question for Doctor Drew? 305 00:16:20,650 --> 00:16:23,890 S9: Yeah. How does a math teacher of high school students 306 00:16:23,890 --> 00:16:28,490 S9: encourage the proper use of AI without allowing them to 307 00:16:28,530 --> 00:16:31,970 S9: just shortcut their learning? uh, and use it as a 308 00:16:31,970 --> 00:16:32,690 S9: way to cheat. 309 00:16:32,850 --> 00:16:34,810 S6: Wow, what a question. What do you say, drew? 310 00:16:34,850 --> 00:16:35,250 S3: Yeah. 311 00:16:35,610 --> 00:16:37,450 S7: Boy. Craig. And first off, thank you for the work 312 00:16:37,450 --> 00:16:40,490 S7: that you're doing with those students. Uh, that is God's work. 313 00:16:40,490 --> 00:16:46,450 S7: And so pedagogy or teaching an AI is an explosive 314 00:16:46,450 --> 00:16:50,530 S7: field right now. Um, I was I'm talking to, uh, 315 00:16:50,890 --> 00:16:52,610 S7: going up to Indiana in a couple of weeks to 316 00:16:52,650 --> 00:16:56,650 S7: speak at a, at a large Christian school up there. And, uh, 317 00:16:56,850 --> 00:16:58,570 S7: every it seems like every day I get an email 318 00:16:58,570 --> 00:17:01,770 S7: from a teacher, uh, just like, how do I navigate 319 00:17:01,770 --> 00:17:04,530 S7: these waters? And you're not alone. First off, I want 320 00:17:04,530 --> 00:17:07,370 S7: you to know you're not alone in this concern. Nobody 321 00:17:07,369 --> 00:17:10,050 S7: has figured this out yet on the educational side, because 322 00:17:10,050 --> 00:17:13,170 S7: it's changing so fast. And quite frankly, the students are 323 00:17:13,170 --> 00:17:16,330 S7: moving faster than the teachers and the and the, uh, 324 00:17:16,330 --> 00:17:20,050 S7: the the the schools are. So first thing I would 325 00:17:20,050 --> 00:17:23,970 S7: do is acknowledge it. Um, I would acknowledge it in, 326 00:17:23,970 --> 00:17:27,850 S7: in class sessions, um, get them to use it, uh, 327 00:17:27,850 --> 00:17:31,219 S7: and bring those discussions back into the class. I tell you, 328 00:17:31,220 --> 00:17:33,540 S7: on the liberal arts side, it's really interesting because you 329 00:17:33,540 --> 00:17:36,900 S7: have writing so you can send a child, a student 330 00:17:36,900 --> 00:17:39,379 S7: home with an assignment. They can have AI write the 331 00:17:39,380 --> 00:17:42,300 S7: entire paper and then bring it back into class with 332 00:17:42,300 --> 00:17:45,260 S7: math that's a little different. Um, but even the philosophy 333 00:17:45,260 --> 00:17:47,899 S7: of math and the discussions that you're having in class 334 00:17:47,900 --> 00:17:50,740 S7: about that. So I would start just by acknowledging it, 335 00:17:50,740 --> 00:17:53,540 S7: using it in class, and have them have them feel 336 00:17:53,540 --> 00:17:57,060 S7: comfortable and free enough to talk about it. Um, is 337 00:17:57,060 --> 00:17:58,100 S7: where I would start. 338 00:17:58,340 --> 00:17:58,780 S3: Well, what. 339 00:17:58,780 --> 00:18:02,220 S6: About having pop quizzes where you don't have phones available? 340 00:18:02,700 --> 00:18:05,020 S7: Yeah. And so one one of the hottest trends right 341 00:18:05,020 --> 00:18:07,379 S7: now is going back to in this this may give 342 00:18:07,420 --> 00:18:10,140 S7: goosebumps to a lot of the listeners. It does me 343 00:18:10,180 --> 00:18:14,020 S7: very triggering but is is handwritten blue book assignments right. 344 00:18:14,060 --> 00:18:17,580 S7: Remember those blue book? Yes. Blue books are so um, 345 00:18:17,619 --> 00:18:20,620 S7: is a lot of teachers going back to timed in-class 346 00:18:20,619 --> 00:18:23,540 S7: blue book or in a lab where you don't have 347 00:18:23,540 --> 00:18:26,420 S7: access to the internet? Um, but boy, just that that 348 00:18:26,420 --> 00:18:30,260 S7: just adds another barrier to teaching. And and some students 349 00:18:30,260 --> 00:18:33,300 S7: don't respond well to handwritten things like that. So I 350 00:18:33,300 --> 00:18:37,100 S7: think having having all of those available is what's key. 351 00:18:37,220 --> 00:18:41,340 S7: So handwritten timed in class. Yes, but also using it 352 00:18:41,340 --> 00:18:44,540 S7: as part of class discussions, um, and just being open 353 00:18:44,540 --> 00:18:46,820 S7: to all of it, but acknowledging it upfront. 354 00:18:46,980 --> 00:18:48,540 S4: I love that, you know, I was trying to help 355 00:18:48,540 --> 00:18:50,980 S4: my son, who's in seventh grade with his math homework, 356 00:18:50,980 --> 00:18:53,500 S4: and I was totally stuck. He was well beyond where 357 00:18:53,500 --> 00:18:55,860 S4: I remember how to do math. And one thing that 358 00:18:55,859 --> 00:18:58,340 S4: we used AI for that I found so helpful is 359 00:18:58,340 --> 00:19:00,380 S4: that we did not get the answer, but it was. 360 00:19:00,540 --> 00:19:03,180 S4: We said, can you walk us through at a fifth 361 00:19:03,220 --> 00:19:06,420 S4: grade level, how to complete an algebra problem where you 362 00:19:06,420 --> 00:19:09,540 S4: have this an element here there's a parentheses. What do 363 00:19:09,540 --> 00:19:11,980 S4: we solve for first. And it gave us a step 364 00:19:12,020 --> 00:19:15,340 S4: by step how to guide for thinking through the problem. 365 00:19:15,859 --> 00:19:19,620 S4: And it unlocked immediately. We both understood which that's saying 366 00:19:19,619 --> 00:19:22,460 S4: something more for me than for him but immediately understood 367 00:19:22,460 --> 00:19:26,030 S4: exactly how to complete the problem. and I thought that 368 00:19:26,030 --> 00:19:27,510 S4: is really helpful. 369 00:19:27,910 --> 00:19:30,470 S7: That's fantastic. And actually a long time ago, like a 370 00:19:30,470 --> 00:19:33,230 S7: couple of months, a long time ago in AI, a 371 00:19:33,270 --> 00:19:36,950 S7: lot of these models weren't good at word problems, so 372 00:19:36,950 --> 00:19:39,230 S7: they could do two plus two, but they couldn't do okay. 373 00:19:39,270 --> 00:19:42,190 S7: I've got two oranges and three apples. They couldn't think 374 00:19:42,470 --> 00:19:45,150 S7: abstractly like that. Well, those days are gone now. We 375 00:19:45,150 --> 00:19:47,750 S7: have reasoning models in place that can do that. And 376 00:19:47,750 --> 00:19:50,110 S7: so what a great use of that exactly is, is 377 00:19:50,109 --> 00:19:52,030 S7: have it tell a story and walk you through the 378 00:19:52,030 --> 00:19:54,389 S7: steps as well. Great. Great application. 379 00:19:54,430 --> 00:20:00,230 S6: Go on lightning round right now 800 555 7898. Give 380 00:20:00,270 --> 00:20:02,550 S6: a call right now or text. We'll try to get 381 00:20:02,550 --> 00:20:08,030 S6: those text questions as well. 800 555 7898. This whole 382 00:20:08,030 --> 00:20:11,389 S6: week is ask the experts going back to the phone lines. 383 00:20:11,390 --> 00:20:14,470 S6: Dana Gilbert, Illinois. What's your question for Doctor Drew? 384 00:20:15,710 --> 00:20:18,390 S10: Yeah, my daughter got a liberal arts degree. It's been 385 00:20:18,390 --> 00:20:21,510 S10: about 5 or 6 years now. And you mentioned that 386 00:20:21,510 --> 00:20:24,200 S10: kids should go into liberal arts, which I thought was 387 00:20:24,200 --> 00:20:27,760 S10: crazy because I'm in the technical world. But what do 388 00:20:27,760 --> 00:20:30,159 S10: they do with that degree, and what kind of jobs 389 00:20:30,160 --> 00:20:33,000 S10: do they go after? I mean, we're talking AI, so 390 00:20:33,000 --> 00:20:34,760 S10: are we talking AI jobs? 391 00:20:35,960 --> 00:20:36,440 S3: Thank you. 392 00:20:36,520 --> 00:20:39,399 S7: Great question. And yeah it is. I laughed when you 393 00:20:39,400 --> 00:20:42,000 S7: said that because I've been through both sides of that. 394 00:20:42,000 --> 00:20:44,400 S7: So I've been through. Don't you dare get a degree 395 00:20:44,400 --> 00:20:47,320 S7: in art history. Uh, to now all of a sudden 396 00:20:47,320 --> 00:20:50,200 S7: I want to get a degree in art history. Uh, critical. Dana, 397 00:20:50,200 --> 00:20:53,000 S7: thank you for calling. Critical thinking skills is what they're 398 00:20:53,000 --> 00:20:56,520 S7: looking for. So if the degree is, you know, in 399 00:20:56,800 --> 00:21:00,600 S7: early Russian literature, it's not so much what that topic is. 400 00:21:00,600 --> 00:21:04,760 S7: It's it's your ability to to think critically, um, and 401 00:21:04,760 --> 00:21:07,640 S7: then communicate again. I go back to this interview that 402 00:21:07,640 --> 00:21:11,080 S7: I saw with the leaders of anthropic, um, you're going 403 00:21:11,080 --> 00:21:13,880 S7: to be joining whatever the kind of whatever the type 404 00:21:13,880 --> 00:21:15,840 S7: of company is, you're going to be joining a team 405 00:21:15,840 --> 00:21:20,399 S7: of other people. And so your ability to communicate in writing, 406 00:21:20,400 --> 00:21:23,520 S7: your ability to look other people in the eye and 407 00:21:23,880 --> 00:21:26,960 S7: body language and get feedback from others. So they really 408 00:21:26,960 --> 00:21:29,280 S7: want to see that you're able to to think and 409 00:21:29,280 --> 00:21:33,879 S7: and process critically. So irrespective of what the degree is 410 00:21:33,880 --> 00:21:37,280 S7: in that, it's it's showing your ability to, to to 411 00:21:37,320 --> 00:21:41,600 S7: navigate waters like that, to reason through problems. That's what 412 00:21:41,600 --> 00:21:44,080 S7: they're looking for because that's what's going to be missing 413 00:21:44,080 --> 00:21:46,440 S7: in AI. It can do a lot of the on 414 00:21:46,480 --> 00:21:49,560 S7: screen work for you. But as far as being able 415 00:21:49,560 --> 00:21:52,440 S7: to communicate and work with other humans, that's what's going 416 00:21:52,480 --> 00:21:54,520 S7: to be missing. So I think any, any, any kind 417 00:21:54,520 --> 00:21:57,160 S7: of application that you have with a company where you 418 00:21:57,160 --> 00:21:59,440 S7: can show that you can think and you can reason 419 00:21:59,440 --> 00:22:02,880 S7: through problems with other humans is going to be what's 420 00:22:02,880 --> 00:22:03,840 S7: valuable right now. 421 00:22:04,000 --> 00:22:07,120 S4: Our guest right now. Ask the expert doctor Drew Dickens 422 00:22:07,119 --> 00:22:12,720 S4: with all things AI. 805, 55, 78, 98. We have 423 00:22:12,720 --> 00:22:16,760 S4: gotten the same question, slightly different wording, multiple times on text, 424 00:22:16,760 --> 00:22:19,000 S4: so I want to ask it right now. It all 425 00:22:19,000 --> 00:22:22,889 S4: all of these questions center around how reliable is AI 426 00:22:22,930 --> 00:22:26,970 S4: for Bible study? Help for getting Bible answers, for helping 427 00:22:27,290 --> 00:22:31,250 S4: put together outlines? Should we look to AI to help 428 00:22:31,250 --> 00:22:33,609 S4: structure and aid our Bible study? 429 00:22:34,330 --> 00:22:37,129 S7: Yeah. I'm going to turn that question to how reliable 430 00:22:37,130 --> 00:22:40,530 S7: is your pastor? How reliable is your Sunday school teacher? 431 00:22:40,850 --> 00:22:44,210 S7: How reliable is anyone? And it's interesting. I don't mean 432 00:22:44,210 --> 00:22:45,650 S7: to be snarky with the question. 433 00:22:45,690 --> 00:22:46,530 S3: That's good. 434 00:22:46,770 --> 00:22:51,650 S7: Because we really don't spend the time asking these questions. Um, 435 00:22:51,690 --> 00:22:55,250 S7: and so we should ask them to everyone, even more 436 00:22:55,250 --> 00:22:57,770 S7: so now in this age of AI, because there's so 437 00:22:57,770 --> 00:23:02,210 S7: much fake information coming at us, we need to be discerning, 438 00:23:02,210 --> 00:23:04,890 S7: no matter who it is, a human or AI. So 439 00:23:04,930 --> 00:23:09,170 S7: is it reliable? Um, boy, uh, we can get into 440 00:23:09,210 --> 00:23:11,810 S7: so many different angles on the conversation on that. Um, 441 00:23:11,810 --> 00:23:15,170 S7: I would I would start by asking it, uh, how 442 00:23:15,170 --> 00:23:18,290 S7: reliable is it? So where are you getting this information? 443 00:23:18,290 --> 00:23:20,369 S7: Where are you drawing this from? If you ask it 444 00:23:20,369 --> 00:23:22,650 S7: a question. But we should also do the same with 445 00:23:22,650 --> 00:23:26,410 S7: our own study. I was in a bookstore the other day. Uh, 446 00:23:26,410 --> 00:23:28,450 S7: I've had this happen so many times, and I saw 447 00:23:28,450 --> 00:23:30,290 S7: some people looking at a Bible, and they were trying 448 00:23:30,290 --> 00:23:32,770 S7: to figure out which version of it to, to get, 449 00:23:32,810 --> 00:23:35,050 S7: and it was fun watching them because they were making 450 00:23:35,050 --> 00:23:39,929 S7: that decision, a decision on which Bible to use based 451 00:23:39,930 --> 00:23:43,889 S7: upon the size of the font. Okay, now I get it. 452 00:23:44,170 --> 00:23:47,690 S7: I'm 66. I'm wearing reading glasses right now, so I 453 00:23:47,690 --> 00:23:50,290 S7: get that. But you know, we don't spend any time 454 00:23:50,290 --> 00:23:53,570 S7: looking at what the translation committee, what their philosophy was 455 00:23:53,570 --> 00:23:57,650 S7: when they were putting this scripture together. So we need 456 00:23:57,650 --> 00:24:01,330 S7: to be willing to go a level deeper, especially now 457 00:24:01,330 --> 00:24:05,290 S7: with AI, um, with everybody that we encounter. Uh, what 458 00:24:05,290 --> 00:24:08,650 S7: is the data source behind this or behind that? So 459 00:24:08,690 --> 00:24:11,930 S7: I would I would ask, when you're prompting it to 460 00:24:11,970 --> 00:24:15,010 S7: put a Bible study together. Right. My wife and I were, uh, 461 00:24:15,050 --> 00:24:17,220 S7: doing this with the Book of Jude, which you can 462 00:24:17,220 --> 00:24:20,060 S7: never find a Bible study on. And so we were 463 00:24:20,060 --> 00:24:25,220 S7: very specific. Use this resource, use this translation. Um, ask 464 00:24:25,220 --> 00:24:28,540 S7: these type of questions with this kind of background. So 465 00:24:28,540 --> 00:24:31,140 S7: the more specific you get in asking it to put 466 00:24:31,140 --> 00:24:33,620 S7: together a plan, I think the more reliable it's going 467 00:24:33,660 --> 00:24:34,020 S7: to be. 468 00:24:34,460 --> 00:24:37,020 S6: Let's go back to the phone lines here. Kate in Tampa, Florida. 469 00:24:37,020 --> 00:24:42,940 S6: What's your question for Doctor Drew Dickens? Hello, Kate. You're 470 00:24:42,940 --> 00:24:43,580 S6: with us. 471 00:24:44,820 --> 00:24:46,020 S3: Okay. Um. 472 00:24:46,340 --> 00:24:51,020 S11: How do we protect our information as we ask AI questions? 473 00:24:51,020 --> 00:24:54,700 S11: And what database is collecting all of that information and 474 00:24:54,700 --> 00:24:58,220 S11: holding it? And is that a security concern? 475 00:24:59,020 --> 00:25:00,140 S6: Great question. 476 00:25:00,940 --> 00:25:06,220 S7: Fantastic question. Is it a concern? Absolutely. So on every 477 00:25:06,420 --> 00:25:10,060 S7: large language model out there, when you first start to 478 00:25:10,100 --> 00:25:13,020 S7: engage with it and create a username and they're all free, 479 00:25:13,060 --> 00:25:16,500 S7: they're free versions of all this. There's an opportunity for 480 00:25:16,500 --> 00:25:20,700 S7: you to click and unclick history. Um, so if that's 481 00:25:20,700 --> 00:25:24,900 S7: a concern of yours, uh, just unclick history. And that history, 482 00:25:24,900 --> 00:25:29,179 S7: by the way, is kept on your local system so 483 00:25:29,220 --> 00:25:32,660 S7: that history is kept on your laptop or your phone. 484 00:25:32,780 --> 00:25:36,820 S7: So it's really not going any further than that anyway. But, um, 485 00:25:36,859 --> 00:25:39,020 S7: if it starts to bother you, the more you talk 486 00:25:39,020 --> 00:25:40,580 S7: to it and it starts to say, hey, good to 487 00:25:40,580 --> 00:25:43,700 S7: hear from you again, Kate. We talked last week. If 488 00:25:43,700 --> 00:25:45,540 S7: that starts to creep you out a little bit, that's 489 00:25:45,540 --> 00:25:48,300 S7: the history button. So you can turn that off. The 490 00:25:48,300 --> 00:25:52,900 S7: advantage of having it on is just as any other, uh, entity, 491 00:25:53,220 --> 00:25:56,060 S7: human or otherwise, that you engage with. The more it 492 00:25:56,060 --> 00:25:59,020 S7: learns about you, the more it's able to customize responses 493 00:25:59,020 --> 00:26:02,340 S7: is the reason it's there. Now, there are pro versions 494 00:26:02,340 --> 00:26:05,820 S7: that are more expensive, generally around 20 or 30 upwards 495 00:26:05,820 --> 00:26:08,740 S7: of $200 a month. Um, and the more history it 496 00:26:08,740 --> 00:26:12,540 S7: has on you, the better output there's going to be. Um, 497 00:26:12,550 --> 00:26:15,629 S7: but you should be concerned, Kate, about that. And you 498 00:26:15,630 --> 00:26:18,830 S7: can just turn off history. Um, and it won't do that. 499 00:26:18,830 --> 00:26:21,030 S7: A lot of another button that I'm starting to see 500 00:26:21,030 --> 00:26:23,910 S7: more and more often is whether you give it the 501 00:26:23,910 --> 00:26:27,910 S7: permission to use the conversation, not to store it, but 502 00:26:27,910 --> 00:26:31,190 S7: to use it to train other models. Um, and so 503 00:26:31,190 --> 00:26:33,790 S7: what it's doing there is it's taking this vast amount 504 00:26:33,790 --> 00:26:38,710 S7: of data, terabytes worth of data every minute or two, um, 505 00:26:38,710 --> 00:26:42,270 S7: and using those conversations which have been stripped of any 506 00:26:42,270 --> 00:26:46,150 S7: identifying information. But it's using those conversations to train itself 507 00:26:46,150 --> 00:26:48,750 S7: on how to talk in the future. So you can 508 00:26:48,750 --> 00:26:51,229 S7: also turn that off if you don't want your, your, uh, 509 00:26:51,230 --> 00:26:53,590 S7: your conversation to be used in a training set. So 510 00:26:53,590 --> 00:26:57,030 S7: I would turn off history, uh, turn off training data 511 00:26:57,030 --> 00:26:59,149 S7: if that's a, if that's a concern for you. 512 00:27:00,430 --> 00:27:04,110 S6: Great, great content here. Questions for Doctor Drew Dickens. We're 513 00:27:04,109 --> 00:27:07,270 S6: doing Ask the Experts all week long. Our experts are 514 00:27:07,270 --> 00:27:09,150 S6: going to be with us here one hour a day. 515 00:27:09,150 --> 00:27:13,389 S6: We've got another 30 minutes with Doctor Drew Dickens phenomenal content. 516 00:27:13,390 --> 00:27:15,750 S6: I'm learning as we go along here in a big way. 517 00:27:16,270 --> 00:27:20,590 S6: So what do you have for Doctor Drew? 805, 55 518 00:27:20,630 --> 00:27:27,110 S6: 7898 800 555 7898 Tony. Right here in Illinois. What's 519 00:27:27,109 --> 00:27:27,830 S6: your question? 520 00:27:28,950 --> 00:27:31,430 S12: Hi. Yes. Thank you for taking my call. Um, so 521 00:27:31,470 --> 00:27:35,869 S12: I have a, I'll say, a gifted grandson. He's 16 522 00:27:35,869 --> 00:27:40,310 S12: years old. He's at boarding school right now, um, learning 523 00:27:40,350 --> 00:27:44,790 S12: multiple languages, and, um, has written beautiful poetry. But his 524 00:27:44,790 --> 00:27:51,030 S12: absolute love is in math. And I, when we speak, I, I, 525 00:27:51,550 --> 00:27:54,590 S12: I'm at a loss as to where I should direct 526 00:27:54,590 --> 00:27:59,510 S12: him to go with math. He loves math. But will 527 00:27:59,510 --> 00:28:02,670 S12: will any potential job he might go for or career 528 00:28:03,670 --> 00:28:08,230 S12: be eliminated. What do you say? I guess, like, how 529 00:28:08,230 --> 00:28:09,240 S12: would you direct him? 530 00:28:10,400 --> 00:28:11,040 S6: Great question. 531 00:28:11,240 --> 00:28:13,480 S7: Thank you. When I when I speak at schools, there's 532 00:28:13,480 --> 00:28:16,600 S7: always a separate breakout session for parents. And that's the 533 00:28:16,600 --> 00:28:20,120 S7: lead question all the time is, uh, you know what, 534 00:28:20,240 --> 00:28:22,639 S7: what can my what what can my, my son or 535 00:28:22,640 --> 00:28:25,040 S7: daughter do that will get them out of the house 536 00:28:25,040 --> 00:28:28,840 S7: and get a job? Um. And what what about these skills? Um, 537 00:28:28,880 --> 00:28:33,840 S7: I think math has always been important in the computer field. 538 00:28:34,080 --> 00:28:36,080 S7: Not so much being able to add up a string 539 00:28:36,119 --> 00:28:39,880 S7: of numbers, but just how, uh, how how math is 540 00:28:39,880 --> 00:28:43,400 S7: able to to illustrate how we think and process and 541 00:28:43,400 --> 00:28:46,600 S7: reason through problems. So I think any kind of skill 542 00:28:46,600 --> 00:28:50,600 S7: that he has in being able to, whether it's math or, uh, again, 543 00:28:50,600 --> 00:28:53,560 S7: the liberal arts, especially with math, though, for for your 544 00:28:53,560 --> 00:28:56,640 S7: son and Tony, thanks for calling is to, to use 545 00:28:56,640 --> 00:29:02,680 S7: that math in a way that shows thinking and reasoning skills. Uh, 546 00:29:02,680 --> 00:29:04,760 S7: so as we just talked a moment ago with the 547 00:29:04,760 --> 00:29:08,650 S7: other caller, um, is math word problems. Uh, you know, 548 00:29:08,690 --> 00:29:10,610 S7: how can I how can I get math to help 549 00:29:10,610 --> 00:29:13,410 S7: me through this kind of problem over here? Uh, I 550 00:29:13,410 --> 00:29:15,290 S7: think that kind of skill is going to be vital 551 00:29:15,290 --> 00:29:17,770 S7: no matter what field you go into. But as it 552 00:29:17,770 --> 00:29:21,450 S7: relates to AI, they're always going to be program need 553 00:29:21,490 --> 00:29:24,570 S7: need for programmers. Absolutely. Our son our youngest son is 554 00:29:24,610 --> 00:29:27,050 S7: a is a computer programmer. So there will always be 555 00:29:27,050 --> 00:29:28,810 S7: need for that. He and I have this conversation all 556 00:29:28,810 --> 00:29:32,490 S7: the time about, um, uh, a lot of these language models. 557 00:29:32,490 --> 00:29:36,090 S7: I'm speaking specifically of Claude code right now. Um, I 558 00:29:36,130 --> 00:29:39,570 S7: had it build a mobile app, which would have taken 559 00:29:39,570 --> 00:29:41,410 S7: months to build. I had it build it in like 560 00:29:41,410 --> 00:29:45,050 S7: 30 minutes. So it's ability to crank out content like 561 00:29:45,050 --> 00:29:48,969 S7: that is insane. But when I look at the code, um, 562 00:29:49,010 --> 00:29:51,850 S7: if something's not working, I need to understand why. I 563 00:29:51,850 --> 00:29:55,530 S7: need to be able to think, uh, uh, reasonably about 564 00:29:55,530 --> 00:29:58,610 S7: these and reason through the problem. So your son's always 565 00:29:58,610 --> 00:30:01,570 S7: going to be needed in that field? Um, for sure. 566 00:30:01,570 --> 00:30:04,130 S7: But I think above, just writing a line of code, 567 00:30:04,130 --> 00:30:07,050 S7: he needs to be able to to to teach himself 568 00:30:07,050 --> 00:30:10,530 S7: how to reason through problems that he encounters. And math 569 00:30:10,530 --> 00:30:12,570 S7: is a great, great area for that. 570 00:30:12,610 --> 00:30:15,250 S4: Great question Tony. If you have a question for our 571 00:30:15,250 --> 00:30:19,010 S4: guest expert, Doctor Drew Dickens with us until the 7:00 572 00:30:19,050 --> 00:30:21,410 S4: central time. So get those in by text or phone 573 00:30:21,410 --> 00:30:27,050 S4: call 800 555 7898. Gary, thank you for holding on 574 00:30:27,050 --> 00:30:29,730 S4: from Fort Lauderdale, Florida. Give us your question for Doctor 575 00:30:29,730 --> 00:30:30,530 S4: Drew Dickens. 576 00:30:31,530 --> 00:30:34,850 S13: Yes. Good morning. My question is, um, you know, you 577 00:30:34,850 --> 00:30:37,090 S13: go online, you may be on a YouTube and you 578 00:30:37,130 --> 00:30:40,010 S13: hear maybe a Billy Graham or some, you know, just 579 00:30:40,010 --> 00:30:42,890 S13: somebody you wanted to listen to. And how do you 580 00:30:42,930 --> 00:30:45,610 S13: know it's not AI generated? Because I've heard about, you know, 581 00:30:45,650 --> 00:30:49,490 S13: people kind of generating fake stuff and it looks so real. 582 00:30:49,490 --> 00:30:51,890 S13: Is there AI to see that it's a fake AI? 583 00:30:52,610 --> 00:30:52,969 S3: Yeah. 584 00:30:53,010 --> 00:30:56,290 S6: Drew beyond beyond Billy Graham touting. It's good to be 585 00:30:56,290 --> 00:30:58,810 S6: a Buddhist. How would you know if it's fake or not? 586 00:31:00,970 --> 00:31:03,980 S7: Uh, what a what a great application for AI using 587 00:31:03,980 --> 00:31:07,780 S7: AI to detect fake AI. It's a great it's a 588 00:31:07,780 --> 00:31:10,900 S7: great opportunity. Let me explore that off the air. But, um, 589 00:31:10,980 --> 00:31:14,740 S7: Tony great question Gary. Rather great question and something we 590 00:31:14,740 --> 00:31:19,460 S7: all need to be discerning about. Uh, finding it in. Boy, 591 00:31:19,460 --> 00:31:21,780 S7: so many of the comments that you see online, some 592 00:31:21,780 --> 00:31:25,260 S7: of the very first comments are is this real? I 593 00:31:25,260 --> 00:31:28,260 S7: had a friend of mine send me a headshot of him. Uh, 594 00:31:28,260 --> 00:31:31,020 S7: he's interviewing, uh, to in for a law firm, and 595 00:31:31,020 --> 00:31:34,020 S7: he sent me the headshot of him, and it was 596 00:31:34,020 --> 00:31:36,260 S7: so I know what he looks like. And so my 597 00:31:36,260 --> 00:31:39,740 S7: very first response was, is this real? And I find 598 00:31:39,780 --> 00:31:43,700 S7: that that's that's leaking into so many of our conversations, 599 00:31:43,700 --> 00:31:46,940 S7: whether it's, you know, Billy Graham, uh, video or just 600 00:31:46,940 --> 00:31:49,180 S7: a headshot from someone or a news story that we're 601 00:31:49,180 --> 00:31:52,060 S7: reading a lot coming out right now with what's going 602 00:31:52,060 --> 00:31:55,300 S7: on in Iran. And we're seeing photos and they begin with, 603 00:31:55,300 --> 00:31:57,140 S7: are those real? So I think the very first step 604 00:31:57,140 --> 00:32:00,980 S7: is knowing it's okay to ask that question. There are 605 00:32:00,980 --> 00:32:04,180 S7: some hints, frankly, that you can look at. It used 606 00:32:04,180 --> 00:32:08,060 S7: to be easier. Um, you know, months ago, uh, Jim 607 00:32:08,060 --> 00:32:10,780 S7: and I just came out with a new image and 608 00:32:10,780 --> 00:32:16,660 S7: video generator. Uh, yes. Day before yesterday, uh, version two 609 00:32:16,700 --> 00:32:21,900 S7: of banana and, boy, I've created some videos, and I 610 00:32:21,940 --> 00:32:25,220 S7: can't find any telltale signs in it. Uh, so it's 611 00:32:25,220 --> 00:32:27,700 S7: just going to get harder. And I hate to beat 612 00:32:27,700 --> 00:32:30,180 S7: doom and gloom on that. It's just going to be 613 00:32:30,380 --> 00:32:32,660 S7: harder and harder to do that. I think it's going 614 00:32:32,700 --> 00:32:35,300 S7: to find our that our way into so many of 615 00:32:35,300 --> 00:32:38,180 S7: our conversations. So just get ready for it. But I 616 00:32:38,180 --> 00:32:41,380 S7: think we do need to be discerning when we're watching videos. 617 00:32:41,700 --> 00:32:43,980 S7: Does it pass the smell test? You kind of joked 618 00:32:43,980 --> 00:32:46,500 S7: about it, Carl, a second ago when you said Billy 619 00:32:46,500 --> 00:32:48,980 S7: Graham embracing Buddhism. But we do need to look at 620 00:32:48,980 --> 00:32:51,540 S7: so much of it in context. Does this story even 621 00:32:51,540 --> 00:32:54,940 S7: make sense? Does that image even make sense? Uh, but 622 00:32:54,940 --> 00:32:56,780 S7: it's going to be harder and harder to do in 623 00:32:56,780 --> 00:33:00,990 S7: the days and weeks hours ahead as these models continue 624 00:33:00,990 --> 00:33:01,790 S7: to improve? 625 00:33:02,310 --> 00:33:05,870 S6: Yeah. Is there a way for me to generate an Ali, uh, 626 00:33:06,030 --> 00:33:09,950 S6: video that she just sings the praises of her entire 627 00:33:09,950 --> 00:33:12,590 S6: team that she works with, just, like, over the top? 628 00:33:13,230 --> 00:33:13,630 S3: Absolutely. 629 00:33:13,630 --> 00:33:14,110 S6: That's what I'd. 630 00:33:14,110 --> 00:33:16,830 S7: Like to create. I'll do that right now if you're 631 00:33:16,830 --> 00:33:17,350 S7: on the air. 632 00:33:19,710 --> 00:33:22,750 S14: If you have a question. AI related for. 633 00:33:22,750 --> 00:33:28,750 S4: Doctor Drew Dickens, you can call or text (800) 555-7898. Phone 634 00:33:28,750 --> 00:33:35,550 S4: lines open text always welcome as well. Just (800) 800-5557 898. 635 00:33:35,750 --> 00:33:38,630 S6: Get your questions in boom crew. He's with us here 636 00:33:38,630 --> 00:33:39,870 S6: another 20 minutes. 637 00:33:40,310 --> 00:33:43,110 S1: She was trying to earn her way to God, but 638 00:33:43,110 --> 00:33:46,550 S1: God showed her she didn't have to. Ali is in 639 00:33:46,590 --> 00:33:49,910 S1: the crew. It's Carl and crew on Moody radio. 640 00:33:49,990 --> 00:33:52,710 S6: Is Carl and crew. And we are in Ask the 641 00:33:52,710 --> 00:33:56,750 S6: Experts week. And one of the most popular doctor Drew Dickens, 642 00:33:56,790 --> 00:34:02,670 S6: AI expert. Our most downloaded podcast from last year. And, uh, boy, 643 00:34:02,670 --> 00:34:04,750 S6: if you want to get to his site because you've 644 00:34:04,750 --> 00:34:06,510 S6: got a lot of questions and you don't know if 645 00:34:06,510 --> 00:34:09,230 S6: you can get your question in here taking your calls, 646 00:34:09,230 --> 00:34:16,029 S6: by the way, 800, 555 7898 800 555 7898. You 647 00:34:16,030 --> 00:34:18,989 S6: can text in as well, but get those calls in 648 00:34:18,989 --> 00:34:24,870 S6: here right now. Okay. They're coming in. Uh, 800 555 7898. 649 00:34:24,870 --> 00:34:27,469 S6: But go to drew. The key word is drew. If 650 00:34:27,469 --> 00:34:29,230 S6: you want to get to his website, we want to 651 00:34:29,230 --> 00:34:32,870 S6: make sure you've got a portal for him. Text drew 652 00:34:33,150 --> 00:34:36,989 S6: and you will get there to 800 555 7898. Okay. 653 00:34:36,989 --> 00:34:39,069 S6: We're going to go lightning round here. Drew what is 654 00:34:39,070 --> 00:34:42,989 S6: vibe coding. Coding. And what are your thoughts about it? 655 00:34:42,989 --> 00:34:46,150 S6: I've never heard of vibe coding. Have you heard of that? 656 00:34:46,910 --> 00:34:49,990 S7: So vibe coding back in the day you had used 657 00:34:49,989 --> 00:34:53,150 S7: to have to write a line by line code in 658 00:34:53,150 --> 00:34:56,799 S7: language no one could understand, but a computer Vibe is 659 00:34:56,800 --> 00:34:59,880 S7: simply talking to the computer. So I mentioned a moment 660 00:34:59,880 --> 00:35:01,959 S7: ago that I had to create a free mobile app. 661 00:35:01,960 --> 00:35:04,520 S7: I just I just typed in the word create a 662 00:35:04,520 --> 00:35:06,840 S7: free mobile app, and it does all the work behind 663 00:35:06,840 --> 00:35:07,399 S7: the scenes so. 664 00:35:07,400 --> 00:35:07,799 S3: You don't have. 665 00:35:07,800 --> 00:35:10,840 S7: To know any computer coding. Vibe coding is just typing 666 00:35:10,920 --> 00:35:12,320 S7: text and telling it what to do. 667 00:35:12,880 --> 00:35:14,400 S6: And it will write code. 668 00:35:15,840 --> 00:35:18,440 S7: Uh, off of a simple prompt that I gave it 669 00:35:18,440 --> 00:35:21,880 S7: it right. 18 it wrote 1800 lines of code within, 670 00:35:22,280 --> 00:35:23,440 S7: you know. 30s. 671 00:35:23,600 --> 00:35:24,040 S3: Wow. 672 00:35:24,320 --> 00:35:24,720 S7: Yeah. 673 00:35:24,719 --> 00:35:25,120 S4: Wow. 674 00:35:25,719 --> 00:35:27,600 S7: I don't know, I don't know, one line of code. 675 00:35:27,640 --> 00:35:28,640 S7: One line of code. 676 00:35:28,680 --> 00:35:31,240 S4: Okay. Another one that came in by text message. Sorry. 677 00:35:31,280 --> 00:35:32,879 S4: Didn't mean to cut you off. I'll let you finish 678 00:35:32,880 --> 00:35:33,640 S4: your thought there, doctor. 679 00:35:33,880 --> 00:35:34,279 S7: No. Go. 680 00:35:34,320 --> 00:35:34,680 S4: Okay. 681 00:35:34,719 --> 00:35:35,360 S7: No. That was. 682 00:35:36,400 --> 00:35:39,719 S4: Please talk about the future of healthcare with AI, both 683 00:35:39,719 --> 00:35:43,480 S4: from a patient perspective and also healthcare careers. 684 00:35:44,320 --> 00:35:47,719 S7: Yeah. Exploding right now. Uh, both from both angles. So 685 00:35:47,719 --> 00:35:51,319 S7: from a from a from a patient perspective. Uh, I 686 00:35:51,320 --> 00:35:53,920 S7: do this, uh, blood work comes in, you get an 687 00:35:53,920 --> 00:35:57,480 S7: email from your doctor, you don't understand and you just 688 00:35:57,480 --> 00:36:00,759 S7: dump that into AI. Explain this to me as a 689 00:36:00,760 --> 00:36:03,920 S7: third grader. What does this test result mean? I had 690 00:36:03,920 --> 00:36:07,480 S7: an MRI and just. I literally took the MRI image 691 00:36:07,480 --> 00:36:09,960 S7: and dropped it into AI, and it gave me a 692 00:36:09,960 --> 00:36:12,160 S7: third grade response. Took me three days to hear back 693 00:36:12,160 --> 00:36:14,640 S7: from the doctor. I got a response back from AI 694 00:36:14,680 --> 00:36:19,520 S7: within three seconds from from the doctor's perspective, opening up 695 00:36:19,520 --> 00:36:22,319 S7: an entire world of data that the doctor may not 696 00:36:22,320 --> 00:36:26,480 S7: have had access to instantly. Uh, and so in the 697 00:36:26,480 --> 00:36:29,480 S7: medical field, in the legal profession, it's exploding as well. 698 00:36:29,520 --> 00:36:33,160 S7: Same reasons. Uh, so it's really taking over a lot 699 00:36:33,160 --> 00:36:37,360 S7: of these, uh, kind of, uh, professional fields in areas 700 00:36:37,360 --> 00:36:38,080 S7: like that. 701 00:36:38,120 --> 00:36:41,200 S6: I dumped three pages of panels into AI. 702 00:36:41,400 --> 00:36:41,760 S3: Yeah. 703 00:36:41,800 --> 00:36:45,280 S6: And it spit out, uh, advice for how to move 704 00:36:45,280 --> 00:36:48,960 S6: the dial on a few general overall health was excellent, 705 00:36:48,960 --> 00:36:51,759 S6: but it gave me tips and advice on what to 706 00:36:51,800 --> 00:36:55,690 S6: do to change a few things. It's astounding the power 707 00:36:55,690 --> 00:36:58,810 S6: that it has. Uh. More questions. Ali, do we see 708 00:36:58,810 --> 00:37:00,370 S6: some via text message here? 709 00:37:00,410 --> 00:37:02,770 S4: Yeah. Coming up, let's tackle this one. Uh, how do 710 00:37:02,770 --> 00:37:06,570 S4: we protect our image and our voices from being used 711 00:37:06,570 --> 00:37:09,730 S4: against us in AI? This is a big one. More 712 00:37:09,730 --> 00:37:11,529 S4: coming up with Doctor Drew Dickens. 713 00:37:11,969 --> 00:37:15,049 S1: He's a sports fanatic with a stat for anything you 714 00:37:15,050 --> 00:37:19,250 S1: can think of. Young Thunder is in the crew. It's 715 00:37:19,250 --> 00:37:22,530 S1: curl and crew on Moody Radio right now. 716 00:37:22,570 --> 00:37:25,330 S4: Special guest doctor Drew Dickens, as we take your questions 717 00:37:25,330 --> 00:37:28,290 S4: on all things AI. This is a good one. Came 718 00:37:28,290 --> 00:37:30,690 S4: in by text message. How do we protect our image 719 00:37:30,690 --> 00:37:34,490 S4: and our voices from being used against us in AI? 720 00:37:34,650 --> 00:37:38,050 S7: Doctor drew so important right? Now let's go back to 721 00:37:38,090 --> 00:37:40,410 S7: I mentioned this a moment ago, the first two buttons 722 00:37:40,410 --> 00:37:43,130 S7: you're going to see when you create a user account 723 00:37:43,130 --> 00:37:47,529 S7: is maintain history and use this for training data. Turn 724 00:37:47,530 --> 00:37:49,649 S7: off both of those if that's a concern for you. 725 00:37:49,650 --> 00:37:53,090 S7: And it should be. but something else I'm going to 726 00:37:53,090 --> 00:37:56,290 S7: put it back on the user is we post so 727 00:37:56,290 --> 00:37:59,810 S7: much online, on Facebook and Twitter of our images. I 728 00:37:59,810 --> 00:38:02,130 S7: think we need to be careful of that. We've always 729 00:38:02,130 --> 00:38:03,689 S7: needed to be careful of that. We just don't think 730 00:38:03,690 --> 00:38:05,290 S7: about it and have in the past. We need to 731 00:38:05,290 --> 00:38:08,250 S7: think about it now. But here are pictures of my grandkids. 732 00:38:08,250 --> 00:38:11,370 S7: Here's pictures of them at school. We really need to 733 00:38:11,370 --> 00:38:13,489 S7: be careful about what we're posting because it's going to 734 00:38:13,489 --> 00:38:16,370 S7: be there forever. And when it is up there, anybody 735 00:38:16,370 --> 00:38:19,450 S7: else can take advantage of that, which is something that 736 00:38:19,450 --> 00:38:21,210 S7: is not being asked here, but I want to turn 737 00:38:21,210 --> 00:38:25,049 S7: it into this is boy, the power of scams. Right now. 738 00:38:25,090 --> 00:38:28,410 S7: We're hearing that every day of people that are using 739 00:38:28,410 --> 00:38:32,890 S7: these images to create fake scams, where you're getting a 740 00:38:32,890 --> 00:38:36,930 S7: phone call from from your from your grandchild or a 741 00:38:37,090 --> 00:38:40,210 S7: son or a daughter saying, hey, mom, help me, I'm 742 00:38:41,210 --> 00:38:43,450 S7: this has happened and I need you to send me money. 743 00:38:43,610 --> 00:38:46,730 S7: The FBI is up to its neck right now in 744 00:38:46,730 --> 00:38:50,339 S7: dealing with scams like this that are AI generated. Uh, 745 00:38:50,340 --> 00:38:53,300 S7: and I'm just shaking thinking about it, because the power 746 00:38:53,300 --> 00:38:57,219 S7: of AI to be able to create these images, create voices, uh, 747 00:38:57,219 --> 00:39:00,140 S7: that can fake an emergency phone call. One of the 748 00:39:00,140 --> 00:39:02,100 S7: first things they always tell you to do is come 749 00:39:02,100 --> 00:39:05,060 S7: up with a family safe word, um, that you can 750 00:39:05,060 --> 00:39:07,739 S7: verify someone. Hey, where did we go when you were 751 00:39:07,739 --> 00:39:11,100 S7: in third grade to vacation? Whatever. But something that AI 752 00:39:11,140 --> 00:39:15,620 S7: is not going to know. Um. And to protect us 753 00:39:15,620 --> 00:39:20,379 S7: from someone stealing our voice. Our image. Uh, it's just 754 00:39:20,420 --> 00:39:23,819 S7: it's really frightening. Uh, this is only going to increase. 755 00:39:24,660 --> 00:39:29,300 S6: Another question, doctor drew, our daughter is interested in doing 756 00:39:29,300 --> 00:39:34,060 S6: graphic design and photography, and we are wondering if that's 757 00:39:34,060 --> 00:39:37,219 S6: going to be irrelevant in the near future with the 758 00:39:37,219 --> 00:39:39,419 S6: rising of AI in that field. 759 00:39:39,900 --> 00:39:43,620 S7: So many questions about our kids and careers. Uh, and 760 00:39:43,620 --> 00:39:47,060 S7: I'm so sensitive to this. So generally, it's a bit 761 00:39:47,060 --> 00:39:52,110 S7: of a cliche, but generally it's the more time you 762 00:39:52,110 --> 00:39:55,469 S7: spend in front of a screen for your career, the 763 00:39:55,469 --> 00:40:01,110 S7: more at risk your job is. So graphic design, um, is. Yeah, 764 00:40:01,150 --> 00:40:04,110 S7: I would be very, very mindful of that. Uh, I'm 765 00:40:04,110 --> 00:40:09,590 S7: staring right now at a tool, uh, that, uh, AI generated, uh, 766 00:40:10,510 --> 00:40:14,549 S7: graphic design tool. Um, I can't I can't draw stick figures, 767 00:40:14,790 --> 00:40:17,630 S7: but I prompt, give me an image. That's this and 768 00:40:17,630 --> 00:40:20,229 S7: this and this and this and boom, within seconds, there 769 00:40:20,230 --> 00:40:22,509 S7: it is. Now is it perfect? No, but I can 770 00:40:22,510 --> 00:40:26,310 S7: tweak it from there. So, boy, I think graphic design. Um, 771 00:40:26,310 --> 00:40:28,109 S7: but I tell you one, one use of it though, 772 00:40:28,150 --> 00:40:32,390 S7: which I was talking to another friend, uh, this past weekend. Um, Etsy, 773 00:40:32,430 --> 00:40:35,430 S7: if you're familiar with that website where you can handmade 774 00:40:35,430 --> 00:40:38,149 S7: kind of things. One of the hottest things right now 775 00:40:38,150 --> 00:40:42,950 S7: is the label made by human. And so I think 776 00:40:42,989 --> 00:40:49,190 S7: for your daughter to be able to create a hand, hand-painted, hand-drawn, 777 00:40:49,190 --> 00:40:55,310 S7: hand created, uh, kind of items. Those are becoming increasingly 778 00:40:55,310 --> 00:40:58,190 S7: increasing in value like we've never seen before. So I 779 00:40:58,190 --> 00:41:00,470 S7: think that kind of work is going to be really, 780 00:41:00,469 --> 00:41:06,430 S7: really popular and growing in value and desire. But anything 781 00:41:06,430 --> 00:41:09,270 S7: you can do on your computer, uh, I think is 782 00:41:09,270 --> 00:41:12,629 S7: going to be at increasing risk. Anything I can look 783 00:41:12,630 --> 00:41:14,990 S7: at on a screen is going to be at risk. 784 00:41:15,550 --> 00:41:18,910 S6: Taking your questions for Doctor Drew Dickens right now. 785 00:41:18,950 --> 00:41:23,390 S4: 800 555 7898. Uh, this is from someone who said, 786 00:41:23,390 --> 00:41:26,510 S4: full disclosure. I asked AI what question I should ask 787 00:41:26,510 --> 00:41:30,470 S4: Doctor Drew Dickens. This is what it came up with. 788 00:41:30,830 --> 00:41:33,990 S4: What would be your advice for leaders who are overwhelmed 789 00:41:33,989 --> 00:41:36,870 S4: by the speed of AI development in their organizations? Is 790 00:41:36,870 --> 00:41:39,509 S4: it even possible to keep guardrails in place while we 791 00:41:39,550 --> 00:41:41,469 S4: are in an AI race? 792 00:41:42,950 --> 00:41:47,080 S7: To what advice? I'm typing a question into AI to 793 00:41:47,120 --> 00:41:49,560 S7: see what it tells me to say. No, I'm not 794 00:41:49,560 --> 00:41:50,000 S7: going to do that. 795 00:41:50,000 --> 00:41:50,960 S4: This gets crazy. 796 00:41:52,800 --> 00:41:55,279 S7: Yeah, the caller and I just aren't needed anymore. They 797 00:41:55,280 --> 00:41:57,279 S7: just have AI's talk to each other, which I've done that, 798 00:41:57,280 --> 00:42:01,200 S7: by the way. Um, so the advice to leaders on 799 00:42:01,200 --> 00:42:03,400 S7: how to, um, so what was that question? 800 00:42:03,440 --> 00:42:03,800 S3: Yeah. 801 00:42:04,239 --> 00:42:07,080 S4: Leaders who are overwhelmed by the speed of AI development 802 00:42:07,080 --> 00:42:08,520 S4: in their organizations. 803 00:42:08,560 --> 00:42:09,400 S7: What I think how. 804 00:42:09,400 --> 00:42:10,720 S4: To keep guardrails in place. 805 00:42:10,760 --> 00:42:14,040 S7: Okay, absolutely. Guardrails is a great topic right now. But, um, 806 00:42:14,040 --> 00:42:17,919 S7: because we're seeing them drop by the wayside every day, uh, 807 00:42:17,920 --> 00:42:21,319 S7: it's another another issue about Claude and Anthropic right now 808 00:42:21,320 --> 00:42:24,440 S7: and OpenAI dropping guardrails that they had set in place 809 00:42:24,440 --> 00:42:27,080 S7: in order to now start working with the US military. 810 00:42:27,239 --> 00:42:30,880 S7: Who doesn't want guardrails? Um, but anyway, so back to 811 00:42:30,920 --> 00:42:33,080 S7: the corporate leaders. Um, I would I would start by 812 00:42:33,120 --> 00:42:35,800 S7: acknowledging at AI and that's, that's going to sound obvious 813 00:42:35,800 --> 00:42:38,359 S7: on this call because these callers are interested in it. 814 00:42:38,400 --> 00:42:40,160 S7: A lot of people just don't want to talk about it. 815 00:42:40,160 --> 00:42:41,680 S7: So I think the first thing I would do is 816 00:42:41,719 --> 00:42:44,200 S7: as a corporate leader is to acknowledge it, put a 817 00:42:44,200 --> 00:42:48,720 S7: committee together. There's a hilarious organization I've been talking to recently, 818 00:42:48,719 --> 00:42:51,720 S7: consulting with and they call it the, um, the Committee 819 00:42:51,719 --> 00:42:55,879 S7: of the willing. Uh, so put start putting teams together 820 00:42:55,880 --> 00:42:59,280 S7: that are, uh, willing and able to put these topics 821 00:42:59,280 --> 00:43:03,839 S7: on the table and include HR include manufacturing include whatever. 822 00:43:03,840 --> 00:43:07,000 S7: But just start the conversation is where I would begin. 823 00:43:07,000 --> 00:43:09,960 S7: And we joked about it a minute ago. But ask AI, 824 00:43:10,040 --> 00:43:12,880 S7: you know, here are our policies. Uh, what are some 825 00:43:13,000 --> 00:43:15,400 S7: barriers that we might be hitting with AI? What are 826 00:43:15,400 --> 00:43:19,280 S7: some topics that we might, uh, need to discuss uh, 827 00:43:19,280 --> 00:43:22,359 S7: sooner than later? Uh, so, yeah, leverage AI to ask 828 00:43:22,360 --> 00:43:24,600 S7: those questions to it as well. But I would start 829 00:43:24,600 --> 00:43:26,719 S7: by just putting it on the table. And then, as 830 00:43:26,719 --> 00:43:29,600 S7: we mentioned a moment ago, too, is all these language 831 00:43:29,600 --> 00:43:33,359 S7: labs now have free, um, lab. That's another word for 832 00:43:33,360 --> 00:43:36,840 S7: these language models. But these labs have free offerings on courses. 833 00:43:36,840 --> 00:43:39,839 S7: You can take. Universities have free courses you can take 834 00:43:39,840 --> 00:43:43,729 S7: on on each of these models and, and so take 835 00:43:43,730 --> 00:43:47,450 S7: those as well. Um, and start listening to some podcasts. Uh, 836 00:43:47,450 --> 00:43:51,250 S7: blatant uh, plug there on how to stay in because 837 00:43:51,290 --> 00:43:55,089 S7: it moves so fast. Keep, keep listening to Carl and crew, uh, 838 00:43:55,090 --> 00:43:58,130 S7: because it moves so fast is, uh, just to be 839 00:43:58,130 --> 00:44:00,050 S7: intentional on how to stay in front of the curve. 840 00:44:00,090 --> 00:44:00,450 S3: Yeah. 841 00:44:00,450 --> 00:44:03,089 S6: You want to get node up and stay node up. 842 00:44:03,090 --> 00:44:08,969 S6: Get this link text drew to 800 555 7898. Drew 843 00:44:08,969 --> 00:44:14,730 S6: to 800 555 7898. Ask the experts all week long. 844 00:44:14,770 --> 00:44:17,770 S6: We are rolling Drew's first one out of the shoot 845 00:44:17,770 --> 00:44:20,930 S6: here this morning. Going back to the phone lines, Paul, 846 00:44:20,930 --> 00:44:23,049 S6: Elk Grove Village, Illinois. What's your question? 847 00:44:24,090 --> 00:44:27,330 S15: Yeah. Good morning all. I watched a program last night 848 00:44:27,330 --> 00:44:31,730 S15: with three experts on AI and they mentioned that right. Today, 849 00:44:32,250 --> 00:44:36,529 S15: AI is as smart as any PhD in any field 850 00:44:36,530 --> 00:44:41,890 S15: around the whole world. And they also mentioned that AI singularity. 851 00:44:42,170 --> 00:44:45,570 S15: We are on the threshold of that, and by 2027, 852 00:44:45,610 --> 00:44:49,850 S15: AI will be in AI singularity. What is AI singularity? 853 00:44:51,330 --> 00:44:54,370 S7: Okay, so there are two two parts of the question. 854 00:44:54,370 --> 00:44:57,010 S7: The first one is this test they're referring to. There's 855 00:44:57,010 --> 00:45:01,650 S7: a test called the HL human humanity's last exam. So 856 00:45:01,690 --> 00:45:05,649 S7: imagine this as an SAT test, right? Uh, there are 857 00:45:05,690 --> 00:45:10,970 S7: 100 different fields of study. Uh, in this exam, um, 858 00:45:10,969 --> 00:45:16,410 S7: and each field has 250 questions in it. Um, supposedly 859 00:45:16,410 --> 00:45:19,650 S7: a PhD in the in their level, in their field 860 00:45:19,650 --> 00:45:24,290 S7: can the average response is around 80, 85% success rate 861 00:45:24,290 --> 00:45:28,250 S7: in their field. Um, and but there are 100 fields 862 00:45:28,250 --> 00:45:32,610 S7: in this test. Uh, and the last week, uh, Jim 863 00:45:32,610 --> 00:45:36,940 S7: and I, which is Google's, uh, language model, um, it 864 00:45:36,980 --> 00:45:41,980 S7: it hit 60% across all 100. So, uh, that's what 865 00:45:41,980 --> 00:45:44,819 S7: that's the test that they're referring to. It's the the 866 00:45:44,820 --> 00:45:47,779 S7: whole test is they're referring to. And yes, it's as 867 00:45:47,780 --> 00:45:52,180 S7: smart as PhD level across all 100 of these fields. 868 00:45:52,180 --> 00:45:55,219 S7: And a field being biology, chemistry, math, so on and 869 00:45:55,219 --> 00:45:58,020 S7: so forth. So that's the test they're referring to. And yes. 870 00:45:58,020 --> 00:46:01,180 S7: So as far as singularity. Ray Kurzweil is the author 871 00:46:01,180 --> 00:46:04,660 S7: of this book that was written, uh, 30 years ago 872 00:46:04,860 --> 00:46:10,060 S7: that he wrote called, uh, The singularity. Singularity is, uh, 873 00:46:10,940 --> 00:46:15,340 S7: another term for it is artificial general intelligence or AGI. Also, 874 00:46:15,380 --> 00:46:22,779 S7: they use the term asi artificial um. Superintelligence. So singularity 875 00:46:22,780 --> 00:46:26,420 S7: is that moment where it becomes smarter. And I'll do 876 00:46:26,420 --> 00:46:30,779 S7: air quotes there. It becomes super intelligent, smarter than any 877 00:46:30,820 --> 00:46:33,260 S7: human on on earth. Um, and. 878 00:46:33,460 --> 00:46:34,300 S3: 30s. 879 00:46:34,300 --> 00:46:36,380 S6: Here drew Just a heads up. 30s. 880 00:46:36,420 --> 00:46:40,859 S7: Yeah. Is. So, uh. So a or singularity is when 881 00:46:40,860 --> 00:46:44,300 S7: we pass that level of, uh, of capability. 882 00:46:44,660 --> 00:46:45,140 S3: Okay. 883 00:46:46,180 --> 00:46:49,700 S6: There's we just scratched the surface here, but you need 884 00:46:49,700 --> 00:46:53,420 S6: to get hooked up with Drew Dickens website. Text the 885 00:46:53,420 --> 00:46:58,460 S6: word drew to 800 555, 7898. And, uh, we're going 886 00:46:58,500 --> 00:47:00,580 S6: to have this in our show cast, and that's a 887 00:47:00,580 --> 00:47:04,380 S6: whole nother topic. But text drew right now to 805 five, 888 00:47:04,420 --> 00:47:09,700 S6: five 7898. One last plug. Next week we're listener supported here. 889 00:47:09,700 --> 00:47:13,620 S6: Drew y jump in. We've got 10s. Give us your best. 890 00:47:14,100 --> 00:47:17,100 S7: My wife and I are supporting and I'm on podcasts 891 00:47:17,140 --> 00:47:20,700 S7: all day long and and moody is so Carl and 892 00:47:20,700 --> 00:47:24,100 S7: crew is so unique in their passion and their voice, uh, 893 00:47:24,100 --> 00:47:26,260 S7: be a part of what they're doing, uh, because lives 894 00:47:26,260 --> 00:47:29,339 S7: are being transformed every day. And so be a part 895 00:47:29,340 --> 00:47:30,900 S7: of this, as my wife and I are. 896 00:47:31,020 --> 00:47:33,980 S6: Drew Dickens, everybody, thank you for your time today.