WEBVTT 1 00:00:00.560 --> 00:00:14.160 Wait What Really OK. With your host, Loren  Weisman. This is a fully licensed theme song 2 00:00:14.160 --> 00:00:25.760 for the show about stuff that makes you say Wait  What Really OK. This is Loren Weisman. This is 3 00:00:25.760 --> 00:00:33.200 Wait What Really OK, The Brand Communication and  Optics podcast and today's title is loosely or its 4 00:00:33.200 --> 00:00:40.880 working title is Honest AI will not Replace  Human Beings over the last and you may be 5 00:00:40.880 --> 00:00:46.160 hearing a little bit of wind or a lot of bit  of wind, but it's a beautiful day, it's windy, 6 00:00:46.160 --> 00:00:53.440 it's a little bit overcast where I am, and it's  just this comfortable sort of summer wind in May. 7 00:00:53.440 --> 00:00:58.960 And it's nice to be outside and with some  things that are happening that have kept 8 00:00:58.960 --> 00:01:04.240 me in bed and kept me inside. I just want to be  outside and I want to share this thing outside. 9 00:01:04.240 --> 00:01:10.960 So the brushes of wind in the background,  they may get louder, they may get softer. 10 00:01:11.680 --> 00:01:20.080 I spoke to Doug Fish of Fish Stewarding Group  about a week ago and he had said at one point, 11 00:01:20.080 --> 00:01:26.800 he said, I really think that you should do a video  talking about some of the future of AI and some of 12 00:01:26.800 --> 00:01:33.840 the thoughts that we've discussed together and the  trends that I've seen and some elements about the 13 00:01:33.840 --> 00:01:42.400 motion of it and the right way to use it and the  wrong ways to use it. And I at first was thinking 14 00:01:42.400 --> 00:01:50.080 just absolutely not. My views on the way that AI  is being shared right now was so much hype and so 15 00:01:50.080 --> 00:01:56.640 many people stating it or claiming to state what  the future is going to be, or for that matter, 16 00:01:56.640 --> 00:02:03.440 using AI to ask what the future is going to be,  and oftentimes in a very selfish sounding way, 17 00:02:03.440 --> 00:02:10.480 presenting it as what they want it to be in their  intention or inside of their business or inside of 18 00:02:10.480 --> 00:02:16.080 their needs, as opposed to the motion of where it  potentially can go, where it won't, where it can't 19 00:02:16.080 --> 00:02:24.880 go, and so on. Then just yesterday I was having  a great conversation with Mark Simpkins and he's 20 00:02:25.600 --> 00:02:35.040 the CEO at aws, and we went into a little bit  more about AI and he said along the lines about 21 00:02:35.040 --> 00:02:40.880 structuring and some of the same exact things. A  conversation went on for a very long time and the 22 00:02:40.880 --> 00:02:46.640 structure and the ideas and thoughts that I've  had on AI for the better part of 10 years. And 23 00:02:46.640 --> 00:02:52.000 as much as people say, oh, AI is new, AI is new.  AI has been around for a very, very long time. 24 00:02:52.000 --> 00:02:57.120 Even in some of the modules and aspects, they  weren't as strong, but they were being used. 25 00:02:57.120 --> 00:03:05.680 And for many years, as in many decades, it's now  a lot more known it's now a lot more accessible, 26 00:03:05.680 --> 00:03:11.200 it's now being used that much more by the public,  and in some ways it's being exploited that much 27 00:03:11.200 --> 00:03:20.400 more. So the goal inside of this episode, I'm  not going into an anti AI rant. At the same time, 28 00:03:20.400 --> 00:03:26.000 I'm not going into necessarily a pro rant about  it either. I'm coming from a middle standpoint, 29 00:03:26.000 --> 00:03:31.760 from viewing the authenticity and the options  of AI, as well as how I believe authentic, 30 00:03:31.760 --> 00:03:38.480 authoritative businesses can apply AI and use  standards that are strong, that are true to heart, 31 00:03:38.480 --> 00:03:44.560 true to morals, true to professionalism and  true to transparency. Now, this is not so 32 00:03:44.560 --> 00:03:52.560 common with how the abuses of AI are taking hold  and growing and growing and growing at the same 33 00:03:52.560 --> 00:03:58.800 time. I'm going to throw out one of my forecasts  of what I see and a couple different options on 34 00:03:58.800 --> 00:04:05.680 that forecast because it really, right now there  is no clear path on AI. It could go a number of 35 00:04:05.680 --> 00:04:13.280 ways. Right now it's continuing to move forward  and yes, it's being abused already, but because 36 00:04:13.280 --> 00:04:20.160 of the lack of regulation, because of the lack of  understanding, because of the lack of compliance, 37 00:04:20.160 --> 00:04:29.360 this is the wild west that's out there right now  regarding AI as is. Jump back. Let's jump back 20, 38 00:04:29.360 --> 00:04:39.520 22 years to 2003 and the wild west of what was  happening around the time of digital music. I 39 00:04:39.520 --> 00:04:43.360 put out in a press release, when I was part  of the music industry, I put out in a press 40 00:04:43.360 --> 00:04:51.120 release and I got pretty heavily attacked for it  at the time. My thoughts on what I saw happening 41 00:04:51.120 --> 00:04:57.360 with the downloads, what I saw happening when you  with Napster, what I saw with the early forms of 42 00:04:57.360 --> 00:05:03.040 itunes, and there are many people that put many  predictions. I think that if you're going to 43 00:05:03.040 --> 00:05:07.600 put out a prediction, if you're in the business  world, if you believe and you can justify what 44 00:05:07.600 --> 00:05:13.360 you're saying and you stand by it, put it out in a  press release. Put it in a genuine press release, 45 00:05:13.360 --> 00:05:18.000 not something you call a press release and put  for immediate release now and some kind of crap 46 00:05:18.000 --> 00:05:23.920 on Twitter or X, but more so through a series  of different channels so that people can find 47 00:05:23.920 --> 00:05:32.240 this stuff. A year, two years, five years, maybe  even 10 years down the line of what you said. It's 48 00:05:32.240 --> 00:05:38.480 almost this blockchain and I will reference AI and  blockchain in this concept a little down the line, 49 00:05:38.480 --> 00:05:44.480 but it's almost like a blockchain approach of  proving and bringing the validity of what you 50 00:05:44.480 --> 00:05:49.360 stated and showcasing. You genuinely stated  it as opposed to being in a group of people 51 00:05:49.360 --> 00:05:54.960 20 years later. Saying no, I said this was to  happen. I said, oh, when and how can you prove 52 00:05:54.960 --> 00:06:00.080 it? Did you write it in your book? Did you put  it here? Did you put it there? Can you back that 53 00:06:00.080 --> 00:06:08.080 up? What I said a number of years back and I said  it when I was tied to a digital download company, 54 00:06:08.720 --> 00:06:14.640 one of ethics and one of independent  considerations for artists. I remember 55 00:06:14.640 --> 00:06:21.600 that release went out on. It was March 3rd of  2003, and there were a couple releases that went 56 00:06:21.600 --> 00:06:29.360 out just short of the release of this company and  its product. And then a couple weeks afterwards, 57 00:06:29.360 --> 00:06:34.320 I don't remember, I think it was the one before  stating, the music industry is about to go undergo 58 00:06:34.320 --> 00:06:39.920 a massive change and here's how it can potentially  harm the artists. I wasn't worried as much about 59 00:06:39.920 --> 00:06:47.760 Napster. My viewpoints on Napster and the way  that was being done was, hey, we've had plenty of 60 00:06:47.760 --> 00:06:52.160 chances to set the regulation and the compliance  when it comes to copyrights, when it comes to 61 00:06:52.160 --> 00:06:56.720 publishing, when it comes to licensing, there  were for many years things were being brought up 62 00:06:56.720 --> 00:07:02.400 going all the way back to Motown. And even before  this goes all the way back to when opera was being 63 00:07:02.400 --> 00:07:10.800 pressed on vinyl and people were taking over. I  mean, even mobsters taking over and forming some 64 00:07:10.800 --> 00:07:19.040 of the initial distribution companies and making  money with no consideration to authorship or who 65 00:07:19.040 --> 00:07:27.600 had the rights to a given piece to when something  became open use, so on and so forth. Go even back 66 00:07:27.600 --> 00:07:34.640 to the time when some of you may not be as old,  but you go into the Chili's or you go into the 67 00:07:34.640 --> 00:07:40.160 Fridays or you go into the Applebee's. And for  many, many years they had to sing their variation 68 00:07:40.160 --> 00:07:45.840 of Happy Birthday because they didn't have the  rights to sing Happy Birthday in their given 69 00:07:45.840 --> 00:07:51.920 restaurant. But this is not to get off track. But  this still does kind of relate. I said the music 70 00:07:51.920 --> 00:07:59.600 industry was going to have a massive nosedive when  it came to profits, the understanding of profits 71 00:07:59.600 --> 00:08:07.200 and the distribution of profits. I estimated that  in a number of years, probably about a decade, 72 00:08:07.200 --> 00:08:13.200 that artists would after that start selling off  their entire catalogs to get whatever value that 73 00:08:13.200 --> 00:08:19.520 they felt. Because the royalty systems with  digital downloads, with different forms of 74 00:08:19.520 --> 00:08:25.280 digital distribution and the issues arising  with physical distribution would make it no 75 00:08:25.280 --> 00:08:31.760 longer worth collecting that royalty check, but  more so just selling out the rights entirely. And 76 00:08:31.760 --> 00:08:40.240 as we've seen, major artists across the board have  sold off their catalogs. Money has dropped out of 77 00:08:40.240 --> 00:08:44.480 the bottom. People that say, oh, I get this for  streaming, I get that. Some, yes, they're making 78 00:08:44.480 --> 00:08:51.920 it, others, they aren't the music industry had an  opportunity. And I get that AI goes beyond music, 79 00:08:51.920 --> 00:08:58.320 but the music industry from a national standpoint,  from an international standpoint, there was the 80 00:08:58.320 --> 00:09:06.080 opportunity to meet, to discuss, to plan, to  organize. Even before all the digital stuff, 81 00:09:06.080 --> 00:09:12.720 as the digital stuff happened, as it went even.  But the lack of accountability, the lack of 82 00:09:12.720 --> 00:09:20.480 organization and the excess of people bitching and  moaning and complaining about what was wrong as 83 00:09:20.480 --> 00:09:27.600 opposed to coming together to figure out how do we  make it right was not being put together. We were 84 00:09:27.600 --> 00:09:32.960 not, you know, we as an industry, I'm not part of  it anymore. We're sitting here saying we've got 85 00:09:32.960 --> 00:09:38.880 all these great ideas how to make artists money  and yet no one was coming into stating where do we 86 00:09:38.880 --> 00:09:46.080 set the commissions, where do we set something  where we could start it on a county level, 87 00:09:46.080 --> 00:09:50.800 bring it to the state, bring it nationally, bring  it internationally, how do we set these standards? 88 00:09:50.800 --> 00:09:57.760 How do we set these standards with distributors?  How do we police this, how do we discipline this? 89 00:09:57.760 --> 00:10:04.800 Small little elements were set up. But still to  this day, the music industry has become even a 90 00:10:04.800 --> 00:10:11.360 bigger crapshoot. If I was starting, I mean, I  started in the music industry in 92, if I had 91 00:10:11.360 --> 00:10:16.080 to start in the music industry today, I wouldn't  have gone into it. I went into the music industry 92 00:10:16.080 --> 00:10:21.760 in 1992 as a drummer, seeing the opportunity,  seeing in some ways a lack of opportunity and 93 00:10:21.760 --> 00:10:27.840 knowing that as being a drummer there was work.  I don't think I would have gone in as a guitar 94 00:10:27.840 --> 00:10:36.880 player. I saw the business side as much as I saw  the creative side. Now tie this all back to AI. 95 00:10:36.880 --> 00:10:44.000 We are in a similar wild west situation. This  has been growing, it's been building, it's been 96 00:10:44.000 --> 00:10:50.880 building up. There's been some jumps in the last  five years, even in the last 10 years, we begin to 97 00:10:50.880 --> 00:10:54.960 see these companies saying they're AI, you know,  they're creating AI modules, they're creating AI 98 00:10:54.960 --> 00:11:03.360 businesses, AI consulting firms, AI this, AI  that's. And yet is it being done in a manner 99 00:11:03.360 --> 00:11:13.280 that truly brings a level of authentic, organic,  authoritative expertise. AI has all the potential 100 00:11:13.280 --> 00:11:21.200 in the world to be something so incredibly strong.  At the same time, it has all the ability and has 101 00:11:21.200 --> 00:11:29.680 become in many circumstances something that's  absolutely evil, deceptive, plagiarizing and 102 00:11:29.680 --> 00:11:36.800 creating these false prophet type self proclaimed  experts that claim to know everything because of a 103 00:11:36.800 --> 00:11:44.800 ChatGPT prompt where they're going in and learning  little ways to trick, fool and deceive audiences 104 00:11:44.800 --> 00:11:54.560 into paying them. That part I can't stand. I want  to jump to the five key points I see of the future 105 00:11:54.560 --> 00:12:03.040 of AI, the stuff that I see happening by 2030.  But at the same time a lot of questions of what's 106 00:12:03.040 --> 00:12:08.800 going to happen in the next two years, in the  next three and four years. I think the advanced 107 00:12:08.800 --> 00:12:14.640 multimodal AI systems, those are going to continue  to grow now. Those are that kind of, you know, 108 00:12:14.640 --> 00:12:23.120 they deliver the hyper personalized experience.  This can be again a great thing subjectively. At 109 00:12:23.120 --> 00:12:29.600 the same time it can be incredibly dangerous.  Okay, you want to for parody, you want to for 110 00:12:29.600 --> 00:12:36.000 leisure, you want to for fun create some picture  where you're sitting there holding hands with 111 00:12:36.000 --> 00:12:42.400 Taylor Swift or you're presenting yourself,  you know, or you're presenting yourself on a, 112 00:12:42.400 --> 00:12:48.400 as an animation or you're doing something of  just fun, something you might send around to 113 00:12:48.400 --> 00:12:52.960 a couple different friends, something that you  might post out there and say isn't this funny? 114 00:12:52.960 --> 00:12:58.400 Something that you would put out there but you  wouldn't lie about. That's some of that multimodal 115 00:12:58.400 --> 00:13:05.760 AI. It's these hyper personalized experiences  from the audio, from the visual, even a touch 116 00:13:05.760 --> 00:13:14.960 of it going into broader experiences in the text,  elements of what can be put together. Now the bad 117 00:13:14.960 --> 00:13:19.600 side of that and the bad side of some of these  other ones. Now somebody puts an image of them 118 00:13:19.600 --> 00:13:26.720 up on stage speaking to an audience that's not  there, claiming to be an in demand keynote speaker 119 00:13:26.720 --> 00:13:32.800 when the only thing that they've done is speak to  their camera or you know, or gone to one of those 120 00:13:33.760 --> 00:13:40.400 local little, you know, meetup talk things where  everybody gets seven minutes to speak. I have a 121 00:13:40.400 --> 00:13:44.880 problem with that. I have a problem with some of  these AI photo generators where it's make your 122 00:13:44.880 --> 00:13:51.920 headshot that much better. Okay, so some nuancing  in editing a photo, colors, lights, this and that. 123 00:13:51.920 --> 00:13:57.680 But when you're really starting to overly enhance  and then presenting a professional version stating 124 00:13:57.680 --> 00:14:06.400 this is me. Where is the line in the sand where  this is deception to this is true. There's also 125 00:14:06.400 --> 00:14:13.840 the agentic AI and the autonomous agents. Those  are where you're starting to see and it's been 126 00:14:13.840 --> 00:14:19.280 especially stronger in the last couple years of  the personal assistants being able to come out, 127 00:14:19.280 --> 00:14:26.160 the therapists. What I found too, and it's been  a little bit of an issue for my field and some 128 00:14:26.160 --> 00:14:33.040 of the people I work with, the strategic advisors  that now you can format this thing and say what 129 00:14:33.040 --> 00:14:38.400 would be this person? Or give me the answers  of this person, this person and this person, 130 00:14:38.400 --> 00:14:46.000 what they would say regarding this business. Like  okay, these again are giving you Ideas. But are 131 00:14:46.000 --> 00:14:52.560 they giving you the right ideas? I'm going to jump  back to that in a bit. The parts of AI that I find 132 00:14:52.560 --> 00:15:02.080 the most exhilarating, the most innovative and  the most helpful are the last three, the quantum 133 00:15:02.080 --> 00:15:08.880 AI for the specialized applications. This is that  complex problem solving, the stuff that can help 134 00:15:08.880 --> 00:15:19.520 a cryptography, material science, drug discovery.  The way that you can use quantum, you know, this 135 00:15:19.520 --> 00:15:27.120 quantum computing in a much faster method where  you're using a series of absolute, objective, 136 00:15:27.120 --> 00:15:34.000 substantiated numbers, facts and information and  you're compiling that data and making it that much 137 00:15:34.000 --> 00:15:42.480 easier to read, to review, to organize. This is  the place where it saves hundreds of hours and 138 00:15:42.480 --> 00:15:46.880 many, many different researchers. You're still  going to need those researchers. And I'll touch 139 00:15:46.880 --> 00:15:59.760 on that in a bit. But such a way to scan and learn  in this quantum scale is absolutely amazing. And 140 00:15:59.760 --> 00:16:06.640 it goes into the reasoning and the frontier  models where again, mathematical elements, 141 00:16:06.640 --> 00:16:13.120 these further out scientific elements, law.  I mean really to have all that information, 142 00:16:13.120 --> 00:16:22.400 all, you know, pretty much every true law case,  every updated law case, everything in the books 143 00:16:22.400 --> 00:16:28.640 there to be able to cross reference in that  way, it brings it to a new level. And lastly, 144 00:16:30.240 --> 00:16:36.160 the industry, specialized AI applications.  And this is where I think that it needs to 145 00:16:36.160 --> 00:16:43.920 go with AI businesses specialized into specific  areas. One of the first ones I like the idea of, 146 00:16:43.920 --> 00:16:49.760 and that is growing is fraud protection, I'm  sorry, fraud detection. And that fraud detection 147 00:16:49.760 --> 00:16:57.120 I think should be, as this part and module grows,  that it's building as much for AI to be able to 148 00:16:57.120 --> 00:17:03.760 identify some of the AI characteristics. Was  this, was this just a simple prompt? Is this 149 00:17:03.760 --> 00:17:09.040 person stealing from here? How is this being done?  But also when you go into medical, when you go 150 00:17:09.040 --> 00:17:16.000 into finance, when you have these abilities where  you could run somebody's information, you know, 151 00:17:16.000 --> 00:17:23.040 their entire medical history and again, as long  as they were telling the truth, being able to 152 00:17:23.040 --> 00:17:28.000 have all of that together and then not make  a decision based on that, but then have the 153 00:17:28.000 --> 00:17:37.120 right doctors who receive this data, using that  to come to a preliminary conclusion, preliminary 154 00:17:37.120 --> 00:17:44.240 assumptions, you know, this, these preliminary  thoughts. And maybe together then from that data, 155 00:17:44.240 --> 00:17:52.560 bringing it back into the AI module to say, okay,  from what was asked, from what was gathered, from 156 00:17:52.560 --> 00:17:58.240 what is in the discovery, now this information  has been returned with this information. These 157 00:17:58.240 --> 00:18:04.080 experts, these doctors, these scientists have  viewed it as this, are asking about this, 158 00:18:04.080 --> 00:18:10.320 are concerned about this, see this as this, what  are your thoughts on that? So it becomes this 159 00:18:10.320 --> 00:18:18.240 series, this give and take. And that to me brings  authenticity and authority through the roof. Now 160 00:18:18.240 --> 00:18:26.080 take a Step back into what I was saying before  about the researchers or the strategists. Yes, 161 00:18:26.080 --> 00:18:30.880 There are a whole bunch of people out there that  are stating they're business experts because they 162 00:18:30.880 --> 00:18:36.400 can run a check or they can run a prompt, or they  can run some kind of advanced prompt, or they took 163 00:18:36.400 --> 00:18:41.360 one of these thousands of AI courses. And the  awful thing is there's so many people out there 164 00:18:41.360 --> 00:18:48.800 creating AI courses for pennies on the dollar to  try to make whatever they can make, and yet they 165 00:18:48.800 --> 00:18:55.600 have no idea what they're doing. And then they're  getting conclusions off of algorithmic learning. 166 00:18:55.600 --> 00:19:04.240 They're getting summaries, they're getting answers  that can be an answer from what data was captured, 167 00:19:04.240 --> 00:19:10.000 but they may not be asking all the right questions  for the particular situation that they're in. And 168 00:19:10.000 --> 00:19:15.600 their lack of expertise in analyzing that  data, in knowing what questions to ask, 169 00:19:15.600 --> 00:19:20.960 in knowing what red flags to raise, that's where  the problem runs in. That's why I think that 170 00:19:20.960 --> 00:19:31.520 honest AI will not replace humans. I see it with a  formidable, foundational, authoritative business, 171 00:19:31.520 --> 00:19:41.280 or even AI business, from anything from strategy  to doctors to finance to fraud detection. It still 172 00:19:41.280 --> 00:19:49.440 includes having a core group of experts, people  that have the experience, people that have the 173 00:19:49.440 --> 00:19:55.440 experience in the given field, that understand  communication, that understand compliance, 174 00:19:55.440 --> 00:20:02.320 that understand the law. Then you have the outer  team, which would be the individualized group. 175 00:20:02.320 --> 00:20:07.680 Okay, say you were, you know, you were  working, or let's say, for that matter, 176 00:20:07.680 --> 00:20:15.920 I was consulting with a team on a business located  in, I don't know, we'll say, Las Vegas, Nevada. 177 00:20:18.480 --> 00:20:23.280 I'm going to step in as the communication and  optics guy, the person looking at the messaging. 178 00:20:23.280 --> 00:20:27.040 I'm going to look at some of the comparative,  the competitive, the intention of the perception, 179 00:20:27.040 --> 00:20:35.360 the psychology, the experiences that I've had in  music, in tv, in many businesses around the world. 180 00:20:35.360 --> 00:20:41.600 I'm also going to look to people that understand  business on a different, on a different note, 181 00:20:41.600 --> 00:20:47.040 people that understand building, people that  understand exit strategies. For this particular 182 00:20:47.040 --> 00:20:52.400 thing, I'm going to want to bring in team people  that are right inside of Las Vegas. Are they 183 00:20:52.400 --> 00:20:58.160 looking investors? I'm going to want the right  people to review investments. Now in that from 184 00:20:58.160 --> 00:21:04.560 a discovery, getting as much information together,  and that's something I've been doing for more than 185 00:21:04.560 --> 00:21:10.800 10 years, is the initial. It's the initial brand  messaging and communication discovery. It's a lot 186 00:21:10.800 --> 00:21:17.200 of information in the beginning. And in that,  from that data, we're able to compile and come 187 00:21:17.200 --> 00:21:25.120 up with a plan of action or an investment plan. Or  a business plan or standard operating procedures. 188 00:21:25.120 --> 00:21:30.880 Now, in the same way, when it comes to AI, if  you are not creating that initial discovery 189 00:21:30.880 --> 00:21:36.080 first before entering everything in there, you're  cutting corners and you're getting answers that 190 00:21:36.080 --> 00:21:42.320 may not apply to your type of business, where your  business is located, and many of the parameters of 191 00:21:42.320 --> 00:21:47.600 how much money do you have, how much money do  you have access to, what aspect of reputation, 192 00:21:47.600 --> 00:21:55.040 what comes to land, what ties to real estate,  what ties to so many other variables that are 193 00:21:55.040 --> 00:22:01.280 oftentimes not thought of. And then you have  that single little AI self proclaimed expert. He 194 00:22:01.280 --> 00:22:06.640 doesn't worry about any of that. He's just popping  in. I want to build in Vegas. I want to do this, 195 00:22:06.640 --> 00:22:11.200 I want to do that. I need this much. Tell me  how to do it. Give me a business plan. People 196 00:22:11.200 --> 00:22:16.880 are writing business, but people are writing  books. I think that part is absolutely pathetic. 197 00:22:17.840 --> 00:22:23.680 If you can't inside of this, if you can't state  how much AI you use inside of writing a book, 198 00:22:23.680 --> 00:22:29.200 I think there's a problem there. It's fine to  state, you know, maybe you put on the back. 199 00:22:29.200 --> 00:22:36.560 I used AI to help me proofread. I used AI as a  technical editor. I used AI to do this. These are 200 00:22:36.560 --> 00:22:41.520 the kind of things, and I believe authentic, true  authors putting that out there can help stand out, 201 00:22:41.520 --> 00:22:45.840 whether they're choosing to go to a major  publisher, a hybrid, or even self publish 202 00:22:46.640 --> 00:22:51.360 against some of these awful. And I can't believe  that they're allowed to continue to advertise 203 00:22:51.360 --> 00:22:56.960 online. But that's the state where we are, that's  the state that we're in. All you have to do is 204 00:22:56.960 --> 00:23:02.320 come up with these 15 prompts and AI will write a  book for you. And then you can say you have a book 205 00:23:02.320 --> 00:23:08.000 and you'll look like an expert, you'll look like  a plagiarist. And yet that stuff is out there, 206 00:23:08.000 --> 00:23:15.440 advertised. Have you noticed so many of the ads  out there or appear as an expert even in some 207 00:23:15.440 --> 00:23:21.120 ways, some of these AI fraud companies and realize  they can't make you an expert, but they can make 208 00:23:21.120 --> 00:23:28.960 you appear as one. I believe we have to admit  we have to be transparent in what we use AI for, 209 00:23:28.960 --> 00:23:34.960 in how we use it, and in that transparency, in  that authenticity we can draw. It's not going 210 00:23:34.960 --> 00:23:38.240 to be everyone because there are a lot of people  that want a shortcut. There's a lot of people that 211 00:23:38.240 --> 00:23:44.160 don't care. They want to do whatever they're going  to do to make their money to grab that client and 212 00:23:44.160 --> 00:23:49.840 have no concern whatsoever they're putting into  the little legal elements. How do I create this 213 00:23:49.840 --> 00:23:57.680 contract so that if it all falls apart, they can't  come back and sue me? As opposed to, why don't you 214 00:23:57.680 --> 00:24:02.640 work on your expertise so that you're not going  to screw them? I mean, of course you want an 215 00:24:02.640 --> 00:24:11.840 aspect of not being held liable for what a client  may have done, but it goes too far now. I mean, 216 00:24:11.840 --> 00:24:20.240 my thought about where this can go when you have  an AI organization or organization that uses AI 217 00:24:20.240 --> 00:24:28.640 in this authentic way is that it's going to be  amplified and furthered with true human expertise. 218 00:24:29.280 --> 00:24:33.520 You know, you look at some of these organizations  and like this is a top notch organization. There 219 00:24:33.520 --> 00:24:41.440 was a given, a higher level consulting firm  that has been, has been saying, you know, 220 00:24:41.440 --> 00:24:48.320 we use AI and they've stepped away from sharing  though the expertise, which I don't understand. 221 00:24:48.320 --> 00:24:53.840 They step away from sharing the expertise of  these individuals, the experts that are around 222 00:24:53.840 --> 00:25:01.600 them. It's not just using AI. The cornerstone  of all of this, the foundation of all of this 223 00:25:01.600 --> 00:25:11.600 to me is the expertise using AI. Because as AI  grows from an authentic, from a transparent, 224 00:25:11.600 --> 00:25:20.000 from an authoritative standpoint to truly steward,  to truly grow in some of these areas that are not 225 00:25:20.000 --> 00:25:27.920 as clearly objective, where it's, you know, too  many different parameters, you're going to need 226 00:25:27.920 --> 00:25:32.720 the experts that are going to have to know  how to ask, how to look. Some of these law 227 00:25:32.720 --> 00:25:40.240 firms right now that are getting sued because  some of the paralegals are cutting quarters, 228 00:25:40.240 --> 00:25:47.200 not researching, not looking through, they're  asking the wrong questions into AI prompts, 229 00:25:47.200 --> 00:25:55.040 getting back simplified answers, giving that to  the partners or the attorneys. And unfortunately 230 00:25:55.040 --> 00:25:58.880 then the attorneys are using that saying,  okay, well they did the work, they found it, 231 00:25:58.880 --> 00:26:05.280 they're quoting where this is, okay, great, let's  go. And they're getting in trouble, they're even 232 00:26:05.280 --> 00:26:12.240 getting fined. I believe this is a good thing. And  it's one of the steps I'd like to see with AI. I'd 233 00:26:12.240 --> 00:26:19.040 like to see an accountability, I like to see an  element of discipline, of fines and for lack of 234 00:26:19.040 --> 00:26:26.240 a better word, policing. Because if that's not  in place, then the crazy side of AI just gets 235 00:26:26.240 --> 00:26:32.000 crazier. I know that there's no way presently,  and even if some of this stuff comes into play, 236 00:26:32.000 --> 00:26:36.480 that you're ever going to be able to stop the  fraud. The frauds have been there forever and 237 00:26:36.480 --> 00:26:40.000 they're going to pull their games and they're  going to create things and they're going to 238 00:26:40.000 --> 00:26:47.920 screw people over. That's going to continue. But  we can set a standard for those that are prepared 239 00:26:47.920 --> 00:26:52.240 to look a little bit deeper, for those that care  about their businesses, for those that care about 240 00:26:52.240 --> 00:26:58.960 their information to set in place. Say, here's  how we operate. Here's how we operate with AI. 241 00:26:58.960 --> 00:27:04.320 Here's our AI Statement of use. This stuff can go  up on websites. This stuff can go to companies. 242 00:27:04.320 --> 00:27:10.720 This could be an internal thing stating back to,  you know, stating back to that paralegal that, you 243 00:27:10.720 --> 00:27:17.360 know, they come in, or even. Or even a lawyer if  you use this stuff and you have not checked those 244 00:27:17.360 --> 00:27:22.880 links. And it's. It's funny because sometimes AI  will send you back links, you know, in a given 245 00:27:22.880 --> 00:27:28.880 prompt, and it's dead. It's not true. And it's  not that AI is trying to fool you, but are you 246 00:27:28.880 --> 00:27:34.720 asking the right questions? Are you vetting the  materials that you're coming back to see if that's 247 00:27:34.720 --> 00:27:41.680 information that can be compiled correctly, or are  you just taking it at face value because it's AI? 248 00:27:41.680 --> 00:27:48.160 I've done some, you know, some people say, google  yourself, you know, AI yourself, ask some really 249 00:27:48.160 --> 00:27:56.320 broad questions. According to AI, I've done a  lot more albums than I actually did, and it's 250 00:27:56.320 --> 00:28:04.960 absolutely not true. I know how many albums I did.  Now, there are articles out there from magazines, 251 00:28:04.960 --> 00:28:12.640 from stuff of when I was in music that have stated  higher numbers that were not true. They weren't 252 00:28:12.640 --> 00:28:19.280 shared by me, but they were put out there. And yet  that was where some of the scrape came from. Now, 253 00:28:19.280 --> 00:28:25.600 one of these articles, as it came through, boom,  it goes up. It's viewed as this. It's compiled 254 00:28:25.600 --> 00:28:34.240 here. Now it states X. But it's not true. AI  doesn't know that. When we compile information, 255 00:28:34.240 --> 00:28:42.240 if we're not vetting it, we're not honoring the  opportunities of how great this research can be. 256 00:28:42.240 --> 00:28:48.960 We've got to test this. I mean, even. Even having  peer reviews inside of AI, I don't think is a bad 257 00:28:48.960 --> 00:28:56.320 thing. So in that, I mean, in that clarity, that  to me, is stronger. Now, coming back to what was 258 00:28:56.320 --> 00:29:00.960 said before, I don't know what can be done about  the lying elements. It is frightening. The videos 259 00:29:00.960 --> 00:29:08.640 that can be made, the images that can be made, the  things that can be said. And in that, it's got to 260 00:29:08.640 --> 00:29:17.280 be. It's got to be something where your defense  is not coming off defensive. There's a letter, 261 00:29:18.240 --> 00:29:24.560 a letter I'm putting out. It's on a private  matter. And I've thought about it going like, 262 00:29:24.560 --> 00:29:29.200 wow, how could that get twisted? How could that  get blown around? How could that get messed up? 263 00:29:29.200 --> 00:29:36.000 So the letter is going out as. It's an audio  letter. It started as an audio and the audio 264 00:29:36.000 --> 00:29:41.040 is being placed in one area and in a file. It's  also transcribed on a back page of my website. 265 00:29:41.040 --> 00:29:48.320 That is not optimized. It's a, it's accessible.  Not, not like, not, not like password secured, 266 00:29:48.320 --> 00:29:56.400 but you've got to have the right link to find it.  And it's also printed out having certain elements 267 00:29:56.400 --> 00:30:01.760 like this to potentially prove that if someone  was to take something proprietary of yours and 268 00:30:01.760 --> 00:30:06.480 slightly adjust it and then claim that that  might be a step that we may need to take. 269 00:30:06.480 --> 00:30:13.040 That might be a step in secure documentation and  proof down the line at the same time with major 270 00:30:13.040 --> 00:30:18.160 things that you're putting out there. Maybe it's  making sure you're putting it out there in major 271 00:30:18.160 --> 00:30:27.840 places. Returning to that point, this point being  blockchain. I am a big fan of the blockchain. Not, 272 00:30:27.840 --> 00:30:37.200 not the cryptocurrency aspect. It's much more  so the blockchain. I believe that with, with 273 00:30:37.200 --> 00:30:43.920 information that is not just on one given server  right over here, but it's found and dated and 274 00:30:43.920 --> 00:30:50.160 clarified that it shows up on all these servers  and all these different places. And then at the 275 00:30:50.160 --> 00:30:54.960 same time with the blockchain security, some  is, some have advanced to this, some it's still 276 00:30:54.960 --> 00:31:00.160 waiting to where somebody makes a change and then  something is pinged going, no, that's not right. 277 00:31:00.160 --> 00:31:07.520 Because here's 30,000 other servers, computers,  whatnot, stating X. And it was dated to, you know, 278 00:31:07.520 --> 00:31:14.640 June 2, 2023. And all of a sudden something's  been put out and it's that exact document. But 279 00:31:14.640 --> 00:31:22.400 now it's had some massive changes and these are  wrong changes that, hey, this came a year later 280 00:31:22.400 --> 00:31:28.640 and this has been edited, this has been adjusted,  this is off, here's the original. I think that 281 00:31:28.640 --> 00:31:34.640 that's a great level of protection. We're looking  at some of these places that are dealing in real 282 00:31:34.640 --> 00:31:44.080 estate holdings overseas in certain not as strong  countries where people have contracts for land, 283 00:31:44.080 --> 00:31:48.080 for homes, for businesses. And you have people  that go in and say, okay, we're going to take 284 00:31:48.080 --> 00:31:52.000 these things over. We're going to burn down  a bank, we're going to burn down a building. 285 00:31:52.000 --> 00:31:55.840 We're going to make sure to shred these given  contracts because there aren't really copies of 286 00:31:55.840 --> 00:32:01.200 them. On the smallest level internationally,  that could be of assistance of going, okay, 287 00:32:01.200 --> 00:32:07.280 this goes away. At least it's located elsewhere.  But on the largest level it's not just elsewhere, 288 00:32:07.280 --> 00:32:15.040 it's so many different places. How can we begin  to use aspects of AI and amplify the authenticity 289 00:32:15.040 --> 00:32:20.960 and the authority of an individual? What they  wrote, what they found, when they found it, and 290 00:32:20.960 --> 00:32:27.520 that being backed up enough so that it's in tens  of thousands of places and then add on to that the 291 00:32:27.520 --> 00:32:34.160 security parameters that when somebody puts that  up. Here's your plagiarism detector or here's your 292 00:32:34.160 --> 00:32:40.800 alteration detector. This study was putting out, I  mean these third party studies and like you know, 293 00:32:40.800 --> 00:32:49.440 a couple years ago I was speaking at the Miami,  it was a Miami Cannabis Expo, it was for cbd. And 294 00:32:49.440 --> 00:32:55.280 I stood up in front of a crowd and I said, you  know the number one problem with this industry 295 00:32:55.280 --> 00:33:04.000 right now, it's not the people, it's not, it's  not the distributors, it's not the sales system, 296 00:33:04.000 --> 00:33:10.240 it's not the government. I said it's you.  It's you people that are trying to falsify, 297 00:33:10.240 --> 00:33:14.880 trying to hype and trying to shortcut these  people saying oh we have this great third party 298 00:33:14.880 --> 00:33:20.240 tester and that third party tester ends up being  a lab that they own that they've just structured 299 00:33:20.240 --> 00:33:26.240 under a different business. But accidentally  it ties back to their business. These elements 300 00:33:26.240 --> 00:33:33.200 where people just shortcut for hype. It doesn't  help them. But when we come to this clarity, 301 00:33:33.200 --> 00:33:40.480 we come to this vetting. I'd love to see inside of  whether it's the quantum modules or, or you know, 302 00:33:40.480 --> 00:33:47.520 getting, getting back to the advanced multimodal  and, and these elements of fraud detection where 303 00:33:47.520 --> 00:33:52.160 things that are coming up where it's the, you  know, not, not just the response of the community 304 00:33:52.160 --> 00:33:57.520 notes of well this is this. And somebody found one  other thing to object it and then all of a sudden 305 00:33:57.520 --> 00:34:02.320 they're changing it. I don't want you to find one  other thing to object it. It could be subjective. 306 00:34:02.320 --> 00:34:08.320 I want you to find 30,000. You find a document  that says X, you find a picture that has been 307 00:34:08.320 --> 00:34:13.600 altered, that then all of a sudden this picture  on the blockchain on a number of, you know, 308 00:34:13.600 --> 00:34:19.680 a number of different websites too that we have  scans going across social media scans going across 309 00:34:19.680 --> 00:34:26.240 different. Our existing search engines, new  search engines, showcasing. Click down here 310 00:34:26.240 --> 00:34:34.000 to see the backed up documentation of what is  there now. Of course things can change. Study, 311 00:34:34.000 --> 00:34:38.960 you know, new things can be learned. But who's  making those changes? That's one thing. And that 312 00:34:38.960 --> 00:34:45.520 can be an edit on the other side of it. Is someone  trying to abuse this, okay, the pill that's Hard 313 00:34:45.520 --> 00:34:52.080 for some people to swallow. And kind of coming  around the last couple laps here is the policing. 314 00:34:52.080 --> 00:34:56.800 I've talked to a lot of people inside of AI  or that are interested in AI and they're like, 315 00:34:56.800 --> 00:35:00.560 I don't want the policing, I don't want the  government policing. I don't want people, you 316 00:35:00.560 --> 00:35:08.160 know, saying this. I don't think somebody should  be fined. I think you're wrong. And here's why I 317 00:35:08.160 --> 00:35:13.920 think you're wrong. I think that without that  policing, without that accountability, without 318 00:35:13.920 --> 00:35:20.240 the liability, without the discipline, it leaves  us to be the Wild west, just like it was in music, 319 00:35:20.240 --> 00:35:27.440 but on a much bigger scale and affecting many,  many more people. I'd like to see on, you know, 320 00:35:27.440 --> 00:35:32.320 on a state, on a state level, on a national  level, and even on an international level, 321 00:35:32.320 --> 00:35:38.480 whether it be some kind of board, commissions,  councils, getting something set up in stating, 322 00:35:38.480 --> 00:35:43.040 here are the parameters that we're going to look  toward and not something that's going to take, 323 00:35:43.040 --> 00:35:48.080 you know, five years to build something  of. Okay, here is our initial committee, 324 00:35:48.080 --> 00:35:53.600 Here is what we're going to grow it into. Here  is where we're going to vote into these elements. 325 00:35:53.600 --> 00:35:59.840 Here's what we're going to come to agree on when  it comes to AI and then setting this, is setting 326 00:35:59.840 --> 00:36:04.400 certain standards on an international level.  And that if there's certain countries that 327 00:36:04.400 --> 00:36:11.520 don't necessarily comply with that, that, okay,  you're using this module, you're using this, 328 00:36:11.520 --> 00:36:20.640 you don't know that this is absolutely safe. It's  come to a time that if we're not taking that step 329 00:36:20.640 --> 00:36:26.400 to have some kind of discipline, to have some kind  of, for that matter, punishment for doing wrong, 330 00:36:26.400 --> 00:36:32.800 then they're just going to keep taking advantage.  And the people that are doing right, I believe, 331 00:36:32.800 --> 00:36:37.840 should be rewarded. Here's a, you know, here's  this, here's their AI statement of use. Here's 332 00:36:37.840 --> 00:36:42.000 how they're doing that, here's how they're backing  up, here's how they're walking through what they 333 00:36:42.000 --> 00:36:48.160 build, how they build it, how they prompt the  experts that look at this, here's our process, 334 00:36:48.160 --> 00:36:57.200 here are the experts that look at the data with  expert eyes and have the expertise to go back and 335 00:36:57.200 --> 00:37:04.800 revamp the prompt or use that information in the  best way for whatever given industry, that to me, 336 00:37:04.800 --> 00:37:12.320 becomes so much stronger. That's your AI. To me,  that's your AI ethical business. It's building 337 00:37:12.320 --> 00:37:19.840 businesses with the right people and the right  teams for the best data. And the only way that 338 00:37:19.840 --> 00:37:26.800 you're going to get the A optimal effect of AI  as it continues to grow into these new modules, 339 00:37:26.800 --> 00:37:33.360 into this expanded element are going to be by  having those people that know how to ask the 340 00:37:33.360 --> 00:37:39.920 right questions and not just taking these AI  things of, you know, take my 90 day AI course, 341 00:37:39.920 --> 00:37:42.800 you're going to learn all these different prompts  and all these words to use and all these things 342 00:37:42.800 --> 00:37:46.640 not to, and here's how you apply it. And then you  can launch your business in 90 days and you're up 343 00:37:46.640 --> 00:37:53.920 and running. No, the differentiator there inside  of whatever the market is, whatever the trade is, 344 00:37:53.920 --> 00:38:02.480 that you have the right people doing the discovery  first, that it's AI based research that still can 345 00:38:02.480 --> 00:38:09.840 also be mixed and vetted with actual research too  that sets for a discovery that gets the baseline 346 00:38:09.840 --> 00:38:18.560 information about a new thing, re establishing an  old one, whatever from all that data. Then to be 347 00:38:18.560 --> 00:38:21.840 able to say, okay, what are you trying to do? What  are you trying to accomplish? Where do you take 348 00:38:21.840 --> 00:38:29.680 this from? You know, to this next step. And from  the data that comes back going to the expert or 349 00:38:29.680 --> 00:38:35.600 I'm sorry, the experts again that run through  that data, that strategically look at that, 350 00:38:35.600 --> 00:38:44.240 these supposed strategic consultants, they're  popularized answers that don't always relate. 351 00:38:44.240 --> 00:38:48.880 And it's something that I've even seen, you  know, a tick down in people going, oh no, 352 00:38:48.880 --> 00:38:55.840 I don't need your help. I'm, you know, I'm using  AI and of the people that have gone that route, 353 00:38:55.840 --> 00:39:00.800 I've watched a lot of mistakes being made  that's in the, you know, the, the agentic AI, 354 00:39:00.800 --> 00:39:06.960 the, the autonomous agents. Oh, if you just  ask the right questions and here, and here's 355 00:39:06.960 --> 00:39:11.200 a whole bunch of questions you can ask. Yes,  but you don't know or have the experience that 356 00:39:11.200 --> 00:39:17.760 I have to ask the questions to ask a wide array  of here. Oh, and you can even ask in there. You 357 00:39:17.760 --> 00:39:24.400 can ask for someone like me, someone like another  expert that you like, some larger scale name. But 358 00:39:24.400 --> 00:39:31.200 what do you find? Are you only getting some major  popular answer that doesn't relate to you? Okay, 359 00:39:31.200 --> 00:39:36.320 it's a high level answer. It's been found in a  couple different places under a couple different 360 00:39:36.320 --> 00:39:44.640 examples. But still it's popularity response  over authority response. It's an impersonalized 361 00:39:44.640 --> 00:39:52.640 response. So I know I've kind of gone a little  bit, a little bit all around the map here when 362 00:39:52.640 --> 00:40:01.680 it comes to AI. To summarize it up a little bit  as best I can. To me, the most effective business 363 00:40:01.680 --> 00:40:09.200 model and some of the most effective businesses  for AI are still going to at the root of them have 364 00:40:09.200 --> 00:40:16.160 to have experts. And for these people that are  doing their little 90 day AI courses and prompting 365 00:40:16.160 --> 00:40:21.600 off of what they think and not having the humility  or the understanding that they may not be getting 366 00:40:21.600 --> 00:40:26.640 the type of data that they, they might get the  base data and they might get popular data, but it 367 00:40:26.640 --> 00:40:31.600 might not be personalized or applicable or really,  for that matter, professional data that applies 368 00:40:31.600 --> 00:40:38.960 to whoever they got to hire them. That if you're  going to start some kind of AI business like this, 369 00:40:38.960 --> 00:40:44.160 and even if you want to start one of these, that  you're bringing in the experts to review this, 370 00:40:44.160 --> 00:40:47.760 that you're looking at the questions, that  you're taking every experience inside of 371 00:40:47.760 --> 00:40:54.800 AI and not trying to put it into a template,  simplified system. The exciting part about AI 372 00:40:54.800 --> 00:41:02.160 to me is that it will continue to grow to collect  data and information. How that data is collected 373 00:41:02.160 --> 00:41:09.360 and that information is formatted is crucial.  And the laws and the regulations that step in, 374 00:41:09.360 --> 00:41:17.440 that's even more crucial to ensure that something  is designated as, okay, this is an opinion, 375 00:41:17.440 --> 00:41:23.760 this is a fact. Here's where it's backed up here,  here's where it's backed up there. The elements of 376 00:41:23.760 --> 00:41:30.640 getting into the fraud detection, the elements  of these blockchain like elements of stating, 377 00:41:30.640 --> 00:41:36.560 this is found in this many places. This was  adjusted, this was adapted for someone to put 378 00:41:36.560 --> 00:41:44.480 out certain stuff that it has to tie back to them.  And then lastly to the individual's responsibility 379 00:41:44.480 --> 00:41:51.760 or the company's responsibility to state, this is  how I use AI and this is how I don't use AI. This 380 00:41:51.760 --> 00:41:57.120 is where I apply things, this is where I don't  apply things, this is where I set the standard, 381 00:41:57.120 --> 00:42:02.000 I believe that that should be laid out. So even  regardless if you're parody, if you're just doing 382 00:42:02.000 --> 00:42:10.400 it for fun, that it's clearly stating there. And  some of these AI, you know, the graphic things, 383 00:42:11.040 --> 00:42:15.920 these modules, where it's clearly stating, okay,  you threw a couple words, you know the music ones. 384 00:42:15.920 --> 00:42:21.760 You threw a couple words in and you create. And  a song was created off of a couple words and a 385 00:42:21.760 --> 00:42:29.200 couple chords. Are you really going around saying,  I wrote this for you, or can you be a little bit 386 00:42:29.200 --> 00:42:34.720 more honest and say, I used this thing and  it helped me create this for you together. 387 00:42:35.920 --> 00:42:42.000 In our honesty, in our authority, in  our integrity, in our transparency, 388 00:42:42.000 --> 00:42:48.400 AI has an opportunity to be something so amazing,  just as it has the opportunity to be something so 389 00:42:48.400 --> 00:42:56.880 incredibly dangerous. And while AI to a certain  extent, and these personal assistants and 390 00:42:56.880 --> 00:43:01.120 strategists and whatnot, these fake things that  are just compiling off of different information 391 00:43:01.120 --> 00:43:07.760 can be dangerous. I still believe the honest use  of AI will not replace the human beings and that 392 00:43:07.760 --> 00:43:13.920 we may end up seeing in these next couple years.  In this surge right now of people claiming to know 393 00:43:13.920 --> 00:43:20.160 things they don't know is businesses that end  up falling apart because of bad decisions made 394 00:43:20.160 --> 00:43:26.720 based on bad information or partial information or  incomplete information or information that was not 395 00:43:26.720 --> 00:43:36.560 vetted and checked by experts. If we take AI to  these next levels with ethics, with transparency, 396 00:43:36.560 --> 00:43:44.960 with regulation and policing, I believe we can get  amazing things from it. Amazing new businesses, 397 00:43:44.960 --> 00:43:52.880 things that can be formed faster, quicker, more  affordably and also correctly. But in that it 398 00:43:52.880 --> 00:44:01.360 might not be as. I mean, and in the affordability,  it might not be as cheap because it might still 399 00:44:01.360 --> 00:44:06.560 take more than one guy, you know, plugging  away prompts at his computer. I know this 400 00:44:06.560 --> 00:44:10.960 is a little bit of a ramble and a rant, but  I think this is an important thing. I think 401 00:44:10.960 --> 00:44:17.440 this is going to be a topic that is going to be  on minds for the next number of years to come. 402 00:44:17.440 --> 00:44:21.920 I think that it's important that we begin  to take these steps to get these committees 403 00:44:21.920 --> 00:44:27.360 into play to figure out, you know, who's going  to set the regulations, that it's not another 404 00:44:27.360 --> 00:44:33.600 situation where just let whatever's going to  happen happen, because it's already dangerous, 405 00:44:33.600 --> 00:44:42.080 it's already impacting people. We can do better as  this new and better technology continues to grow. 406 00:44:42.080 --> 00:44:49.040 And if we do better, if we do honorably, and if we  treat this in love, in honesty and transparency, 407 00:44:49.040 --> 00:44:57.360 I believe AI can be something so much greater, so  much bigger, but still stand in a foundation of 408 00:44:57.360 --> 00:45:08.560 truth and authority. This is Loren Weisman. This  was a long one, a bit of a rant. That's all I got.