WEBVTT NOTE This file was generated by Descript 00:00:11.237 --> 00:00:17.297 Welcome to Transformative Principle, where I help you stop putting out fires and start leading. 00:00:17.807 --> 00:00:19.307 I'm your host, Jethro Jones. 00:00:19.307 --> 00:00:22.007 You can follow me on Twitter at Jethro Jones. 00:00:22.007 --> 00:00:22.067 Okay. 00:00:35.624 --> 00:00:37.994 Welcome to Transformative Principal. 00:00:37.994 --> 00:00:43.064 I am very excited to have on the program today, Derek DC Krieger. 00:00:43.334 --> 00:00:48.404 Uh, he's a passionate advocate for making artificial intelligence approachable and accessible. 00:00:49.109 --> 00:00:52.319 Particularly for individuals within the Neurodiverse community. 00:00:52.439 --> 00:01:03.569 As someone who is autistic, Derrick has dedicated himself to fostering a supportive environment where people with autism, A DHD, and dyslexia, can leverage AI to enhance their skills and income. 00:01:03.989 --> 00:01:12.119 Through his work at Practical ai, he emphasizes clarity and support, ensuring that users can navigate AI without being overwhelmed by its complexities. 00:01:12.494 --> 00:01:21.704 He's got a great history and this wonderful community practical AI that you, uh, can read a little bit more about on the show notes at Transformative Principal dot org. 00:01:22.064 --> 00:01:28.004 Uh, but Derek, DC you prefer DC So we'll go with dc Excuse me, I keep saying Derek. 00:01:28.334 --> 00:01:30.089 Uh, welcome to Transformative Princip. 00:01:31.224 --> 00:01:35.994 Well, uh, thank you Jethro, and honestly, is, uh, fine. 00:01:36.024 --> 00:01:38.394 Uh, Derek in a crowded room, people. 00:01:39.329 --> 00:01:42.539 Hear Daryl and Eric and anything else. 00:01:42.539 --> 00:01:45.509 So, uh, but yeah, my name's Derek, uh, dc either one. 00:01:45.509 --> 00:01:47.609 I, I, I respond to, so thank you. 00:01:48.149 --> 00:01:48.659 Excellent. 00:01:48.719 --> 00:01:50.549 Well, great to have you here. 00:01:50.849 --> 00:01:58.199 Talk to me a little bit about this idea of using ai, particularly with Neurodiverse people. 00:01:58.199 --> 00:01:58.589 What. 00:01:58.994 --> 00:02:04.629 What's the difference for someone who's neurodiverse as opposed to just any regular Joe off the street? 00:02:06.164 --> 00:02:12.044 Well, I, uh, I think the, uh, the experience is different because our histories are different. 00:02:12.779 --> 00:02:23.249 Um, if we, uh, to throw a, a couple terms out here, you know, neurodiversity on one side and neurotypical on the other, uh, the neurotypical is, uh, is that category. 00:02:23.249 --> 00:02:24.149 We throw the, 00:02:24.189 --> 00:02:24.309 I. 00:02:24.479 --> 00:02:29.129 uh, traditionally average people to, you know, air quotes here, quote unquote, average. 00:02:29.594 --> 00:02:33.554 Um, but normative, I guess is, uh, is, uh, a better way to put it. 00:02:33.614 --> 00:02:39.104 Uh, a average always sounds like an insult, so, uh, when it's applied to humans. 00:02:39.524 --> 00:02:46.664 Um, but yeah, the, uh, the experience coming in with AI is that, uh, uh, it gives us someone to talk to. 00:02:47.369 --> 00:02:51.839 And, um, connecting through a human level is important. 00:02:51.869 --> 00:02:56.549 And I'm even talking, uh, beyond, you know, uh, keystrokes and clicks. 00:02:56.549 --> 00:03:10.019 It's, uh, if we can get to that human, human conversation with ai that's, um, uh, one thing I do with, with my company, both on the profit and the non-profit side, is I built a voice interface. 00:03:10.349 --> 00:03:18.299 To emulate this, uh, patient supportive anthropomorphized ai, that, that sounds like a human. 00:03:18.299 --> 00:03:21.419 So I think that's important to get through the psychological barrier. 00:03:22.409 --> 00:03:31.199 either way, um, those of us that, uh, that are on the spectrum, uh, or considered neurodivergent, um, we have, uh. 00:03:32.219 --> 00:03:34.589 Honestly a, a rough history. 00:03:34.679 --> 00:03:40.919 Um, we are the, uh, lowest employment rate when it comes to, uh, to employment statistics. 00:03:41.279 --> 00:03:45.899 And a lot of times we do good things, but, uh, we can't explain 'em well. 00:03:45.899 --> 00:03:49.139 So that means we, we don't connect to the social. 00:03:49.139 --> 00:03:55.019 So, um, AI allows us to speak with ourselves in a manner. 00:03:55.079 --> 00:03:56.039 Um, there's. 00:03:57.539 --> 00:04:04.979 Multiple platforms out there, whether it be Notebook, LM or uh, Chad, GPT project or perplexity spaces. 00:04:04.979 --> 00:04:12.599 Those are just three off the top of my head that allow us to, uh, create a diary for ourselves and be able to talk to ourselves. 00:04:12.599 --> 00:04:21.689 So, uh, in that manner, it's um, uh, those of us that are a DHD, we're either at 50,000 feet or we're deep in the weeds and nowhere in between. 00:04:21.689 --> 00:04:24.839 So I know it allows me, uh, to. 00:04:25.259 --> 00:04:33.359 Uh, what I'm deep in the weeds to talk to myself through the, uh, AI interface and say, Hey, gimme a broad view. 00:04:33.389 --> 00:04:35.549 'cause I'm, I, I'm stuck on something. 00:04:35.579 --> 00:04:37.229 Or even just the opposite. 00:04:37.589 --> 00:04:47.939 If I'm at the 50,000 viewpoint and my mind's going everywhere, racing and I can't get into the weeds, or I can't identify the top five or the top 10, or what are the highlights? 00:04:47.939 --> 00:04:52.169 Then I can ask myself through, um, this AI. 00:04:52.604 --> 00:04:57.944 Front end diary, you know, to, uh, uh, to elicit those, those items. 00:04:57.944 --> 00:05:08.654 So it's, uh, it's a way to, um, get advice from ourself and, uh, not, and especially we, we won't have the fear of asking a human. 00:05:08.924 --> 00:05:13.334 I mean, in school, what's one of the first things we always hear at the beginning of the year? 00:05:13.334 --> 00:05:15.524 You know, there are no dumb questions type of things. 00:05:15.524 --> 00:05:20.144 But even still, um, those of us that are on the spectrum of some sort, we've. 00:05:20.639 --> 00:05:26.324 We've heard that and, and we still get experience that our questions are dumb, so we refrain even deeper and go on our shell. 00:05:27.929 --> 00:05:29.279 Yeah, that makes total sense. 00:05:29.279 --> 00:05:38.459 And in, in working with my own daughter on this kind of stuff, she, she sometimes doesn't have the capacity to articulate the question that she's asking. 00:05:38.909 --> 00:05:39.924 And so, for example. 00:05:40.289 --> 00:05:48.059 This morning at breakfast, she was, she was asking a question and we couldn't understand what she was asking. 00:05:48.059 --> 00:05:55.319 And she was trying to refer to something in the past and instead of saying Last Christmas, she said last week. 00:05:55.619 --> 00:05:58.829 And so then we were more confused about that situation. 00:05:58.919 --> 00:06:05.249 And there's, there's this paper that came out recently called Your Brain on Chat, GPT, cognitive Debt. 00:06:05.519 --> 00:06:08.574 And this idea of cognitive debt has really been. 00:06:09.314 --> 00:06:21.254 Weighing heavily on me in that the paper proposed that essentially people who use chat GPT to do things that they are taking on cognitive debt. 00:06:21.674 --> 00:06:37.874 But in reading that paper and starting to understand some aspects of it, I believe that chat, GPT actually provides cognitive equity for some people because it gives them an ability to, to do the things that. 00:06:38.414 --> 00:06:43.244 Typically get in trouble, uh, cause them trouble in their day-to-day communication. 00:06:43.244 --> 00:06:52.574 So, for example, for my daughter to put together complex words and phrases can be very challenging, but she can get the base idea down. 00:06:52.664 --> 00:07:07.139 And so using chat, GPT actually enables her to have a voice where she didn't have a voice before because it helps her explain things where she's just getting the highlights and it helps explain them and fill in the gaps. 00:07:07.949 --> 00:07:09.029 Does that make sense? 00:07:09.029 --> 00:07:11.094 What do you see with that kind of an approach? 00:07:12.004 --> 00:07:14.764 Oh, that's, uh, we're definitely in alignment on this. 00:07:14.764 --> 00:07:29.434 It's, uh, what is there, depending on, uh, the research, there's 30,000 or 60,000, uh, words in the, uh, English language and, um, a typical human, you know, we're walking around with five, maybe 6,000 words. 00:07:29.434 --> 00:07:31.599 So your word for something may be different. 00:07:32.459 --> 00:07:53.549 my word for something, and we write this off sometimes as cultural, and yeah, the culture has a certain, um, uh, connection to it and the reason why somebody might call a couch at one place, but a Davenport and someplace else, it, it's, if we don't know there's that if translation, then yeah, we're like, wait a minute, what is a Davenport? 00:07:54.119 --> 00:08:00.539 And, uh, so yeah, the, uh, the, the way your family, uh, speaks it, it's the same way for. 00:08:01.214 --> 00:08:02.294 For your, your daughter. 00:08:02.294 --> 00:08:03.524 I, I picture that. 00:08:03.524 --> 00:08:20.415 Uh, and first of all, I wanna preface this by saying that anybody on the neurodiverse, uh, spectrum, um, in that neurodiversity group, uh, just because we have diagnosed with the same professional diagnosis with whatever that might be. 00:08:21.464 --> 00:08:25.784 That does not mean that we're the same as somebody else sitting next to us with that same diagnosis. 00:08:25.784 --> 00:08:27.764 I think that's very important to understand. 00:08:27.764 --> 00:08:33.674 That's something that I didn't even understand until, uh, 10 years ago, and so. 00:08:35.054 --> 00:08:39.344 there's something that, uh, uh, Dr. Nancy Doyle came up with. 00:08:39.404 --> 00:08:44.714 Uh, she's a doctor out of the UK and she built this, uh, community called Genius Within. 00:08:44.714 --> 00:08:50.204 And she talks about what is neurodiversity, and she identifies, uh, the spiky profile. 00:08:50.204 --> 00:08:59.924 And to her, the spiky profile is that, um, it's like an XY graph and we plot out our skill sets and the neurotypical. 00:09:01.154 --> 00:09:08.144 People in the world, they're like a plus one to a minus one or a zero all the way across, but they come out to be that average. 00:09:08.204 --> 00:09:09.854 You know, there's that word again, average. 00:09:10.244 --> 00:09:11.444 Um, but that's normal. 00:09:11.804 --> 00:09:23.114 And so for the, uh, those of us that are, you know, neurodiverse, we might, um, be a 10 neurotypicals are a one. 00:09:23.444 --> 00:09:26.954 But to balance that, we might be a minus 10. 00:09:27.389 --> 00:09:32.429 Where a neurotypical is a one, and that plus 10 might be in our creativity. 00:09:32.519 --> 00:09:33.809 It could be building something. 00:09:33.809 --> 00:09:42.329 It could be our analytical mind, and then maybe we come up with something great for a company or a school or a project or, or for mom and dad. 00:09:42.749 --> 00:09:44.909 And then we try to explain it. 00:09:45.749 --> 00:09:49.349 so like your daughter is trying to explain, maybe we're a minus 10. 00:09:50.129 --> 00:10:01.859 And because we lack the control over the words and to some of that, it really, that lack of control over the words is the interface with the risk of humanity or humankind. 00:10:02.309 --> 00:10:13.589 And if, if that's our only method of communication, then it sounds like whoever's trying to communicate is ignorant or they lack the knowledge where sometimes it's just the opposite. 00:10:13.859 --> 00:10:16.919 Sometimes there are so many things going on in that mind. 00:10:17.324 --> 00:10:25.094 That, uh, they might know 10 words for that topic and they're just gonna throw one out at you because their gears are turning so fast. 00:10:25.274 --> 00:10:27.764 They're just spitting to put the, uh, language together. 00:10:28.064 --> 00:10:34.334 And in their mind, their mind is running so fast that they're thinking about 10 things ahead of the conversation. 00:10:34.694 --> 00:10:41.594 So to put them in a scenario where they have to stop, you know, smell the roses type of phrase. 00:10:41.594 --> 00:10:44.504 There are all kinds of phrasings in life that we pick up. 00:10:44.564 --> 00:10:44.956 Um, you know. 00:10:45.674 --> 00:10:47.984 Take a minute, take a heartbeat type of things. 00:10:48.434 --> 00:10:49.814 Um, live in the present. 00:10:50.174 --> 00:11:01.634 Uh, for those of us with our minds where the gears are going, it's very easy to use words that are conversation partners don't understand. 00:11:01.634 --> 00:11:06.974 So it is very much like a, uh, interpretation needed and chat. 00:11:06.974 --> 00:11:09.194 GPT does offer that. 00:11:09.254 --> 00:11:09.944 Uh, definitely. 00:11:10.999 --> 00:11:12.919 Well, yeah, and that's something that's really interesting. 00:11:12.919 --> 00:11:23.239 I, I like that genius within approach because in my daughter's situation, she may be a minus 10 in a whole bunch of areas, and then a plus 10 in only one area, and. 00:11:23.954 --> 00:11:32.894 You know, it it, when we talk about this, we often talk like we're really good in one area that makes up for the deficit in another area. 00:11:33.134 --> 00:11:34.485 But it may be that we are. 00:11:35.414 --> 00:11:41.714 Negative in, in a lot of areas, uh, as it relates to what is typical and what is normal. 00:11:42.014 --> 00:11:47.954 And that makes it really difficult to assimilate and participate in our modern economy. 00:11:47.954 --> 00:11:53.444 And the, the things that we do on a day-to-day basis in our society that can make it really challenging. 00:11:53.504 --> 00:11:56.864 And one of those things is being able to read. 00:11:56.864 --> 00:12:04.439 For example, um, even, you know, with all this stuff around ai, so much of it is text-based and so. 00:12:05.219 --> 00:12:07.949 It, you mentioned having a voice interface that helps. 00:12:07.949 --> 00:12:19.289 And then you also mentioned the idea of this patient, uh, infinitely patient thing that can deal with the millions of questions that are asked. 00:12:19.289 --> 00:12:24.599 And, and that is exactly something that, um, that I've seen with, with neurodiverse. 00:12:25.334 --> 00:12:38.354 Diverse folks that I've worked with, that, that they have a lot of questions and ask them repeatedly and constantly, even when we, we already have determined that these things are, are the case and happening. 00:12:38.654 --> 00:12:40.604 They still come back to these questions often. 00:12:40.604 --> 00:12:46.724 And so having something that is infinitely patient can be a really powerful support for someone. 00:12:47.054 --> 00:12:54.314 And so my question then with, with these contexts in place, how, how do you do it so that. 00:12:54.689 --> 00:13:07.079 The, the AI is actually beneficial for the person and that it is attuned to what it is that they need and that it, it can help them in their specific use case. 00:13:08.064 --> 00:13:20.274 Oh, certainly it's, uh, that, that's, an important distinction because we hear, and we read the, of the headlines that talk about AI being inaccurate or hallucinating, et cetera. 00:13:20.274 --> 00:13:22.439 So we have our special sauce on the back. 00:13:22.794 --> 00:13:24.234 End of our model. 00:13:24.504 --> 00:13:31.944 And, uh, our model is, um, is set up where we take the knowledge domain, whatever that knowledge domain is. 00:13:31.944 --> 00:13:36.804 So we, we compartmentalize a, a specific knowledge. 00:13:37.194 --> 00:13:39.354 For example, let's say seventh grade science. 00:13:40.529 --> 00:13:45.299 Maybe we take the seventh grade science book and we digest that into a database. 00:13:45.299 --> 00:13:47.849 You know, vector database is a cool term to throw around. 00:13:48.239 --> 00:13:51.149 Um, but, uh, we digest that into a database. 00:13:51.149 --> 00:13:56.309 We have an AI on the back end that interprets the data, and then we have that transition point. 00:13:56.309 --> 00:14:05.759 We have a, a different, uh, um, large language model on the front end to interface between the human the, uh, the back end. 00:14:06.119 --> 00:14:08.669 And, uh, so it's really about can. 00:14:09.074 --> 00:14:17.234 Putting the knowledge in a container and allowing our AI to speak and from that knowledge domain. 00:14:17.414 --> 00:14:18.254 Nowhere else. 00:14:18.254 --> 00:14:20.264 So we put guardrails on it. 00:14:20.624 --> 00:14:37.784 And so the conversation when we're talking to it is very much like speaking to somebody that, uh, is on the spectrum because we set this up as a subject matter expert, this SME in a box, and it talks ad infinitum on that subject. 00:14:38.339 --> 00:14:43.259 But if you ask it about, you know, curly fries at Arby's, it's probably not gonna be the answer. 00:14:43.259 --> 00:14:43.499 Yeah. 00:14:43.889 --> 00:14:48.569 And it, uh, versus the public domain, uh, tools that are out there. 00:14:49.064 --> 00:14:51.314 You're just gonna get the first answer that comes up. 00:14:51.314 --> 00:14:55.304 That's really Chad GT's model is to just return an answer. 00:14:55.664 --> 00:15:08.714 So, yeah, that's, uh, it's, it's important that we stick to the quality of the data and we increase the accuracy of the conversation by limiting our interface with just that specific. 00:15:11.389 --> 00:15:35.239 So how does this work then in a situation where there is, you know, let's say we need this to be a helper for navigating the community, for example, and uh, someone doesn't have the language skills to get out there, but they can text and then can the AI then be their voice and say, I want to go to this place and it will. 00:15:35.599 --> 00:15:37.039 Communicate that for them. 00:15:37.069 --> 00:15:49.969 What, what kinds of situations where exist, where, where you can do more than just teach a subject, but can also help them navigate an environment or a conversation or a relationship. 00:15:50.949 --> 00:15:51.219 Yeah. 00:15:51.219 --> 00:15:53.649 Well that, that's ideal and that's really our forte. 00:15:53.649 --> 00:15:58.749 That's, that's where we thrive is, is going beyond just the steps because. 00:15:59.119 --> 00:16:15.469 Uh, we can have a, a list of ingredients on a recipe, and it tells us how to bake muffins, but that doesn't mean that that index card can tell us what to do if our oven is oversized or it's outta whack, or we we're missing an ingredient. 00:16:15.889 --> 00:16:18.409 Um, and then in the, uh, in the. 00:16:21.889 --> 00:16:22.609 How about this? 00:16:22.639 --> 00:16:33.979 Um, if we have, uh, our earbuds in and we're listening to our map, let's say Google Map, that's walking around town, so that would be similar to the scenario you're, you're talking about in a geographical sense. 00:16:34.279 --> 00:16:43.429 Um, the, uh, the, uh, Google Maps is going to respond on just straight how to get there, but you can't ask Google Mass. 00:16:43.819 --> 00:16:48.049 Um, you know, the road's blocked or the, the bridge is washed out. 00:16:48.109 --> 00:16:49.009 Um, I mean. 00:16:49.759 --> 00:16:52.339 got some workarounds in there, but it's not conversational. 00:16:52.339 --> 00:17:06.229 Whereas if they were, if, if your daughter was speaking to you the telephone, she has her backpack on, her earbuds in and she's talking to dad and she says, Hey dad, I got down here and I, I can see the McDonald's across the way, but the bridge is washed out. 00:17:06.619 --> 00:17:11.239 Um, then dad would say, oh, yeah, yeah, yeah, just go down to First Street, take a right. 00:17:11.509 --> 00:17:12.799 And that's the workaround. 00:17:13.159 --> 00:17:16.489 And that's a very simplified version of. 00:17:16.939 --> 00:17:20.419 Of what our AI is doing right now, conversationally. 00:17:20.419 --> 00:17:30.109 So any place that a human can be and offer mentorship, that is, um, that's the domain we're covering right now. 00:17:30.169 --> 00:17:37.849 We're not trying to be all things to all people, but in that scenario, uh, we take the topic and we are working on. 00:17:38.254 --> 00:17:39.844 Um, business side. 00:17:39.844 --> 00:17:46.024 We have school side on specific topics, but also, um, I learned when I, uh, I'm not a certified teacher. 00:17:46.024 --> 00:17:50.764 I'll, I'll, I'll say that to the crowd here, but I know that there's a shortage of teachers. 00:17:50.764 --> 00:17:57.814 So in, uh, in what time I have to spare, I volunteer at the local, uh, as a, uh, substitute teacher. 00:17:57.814 --> 00:18:06.274 And, and I found out that, uh, depending on the school system, you have, uh, adults that chaperone or mentor. 00:18:06.589 --> 00:18:09.259 In individual students, one-on-one throughout the day. 00:18:09.529 --> 00:18:23.604 They walk around with them, they go with them, they help interpret, uh, like we discussed a little bit ago, and they help interface and they help, uh, um, uh, that they go better for that student so everybody can learn. 00:18:24.424 --> 00:18:26.794 In the school system without disrupting the class. 00:18:26.794 --> 00:18:28.954 So a lot of money. 00:18:28.984 --> 00:18:36.244 If we had one adult for every student, I mean, we'd have, we wouldn't have 25 to one teacher to student ratios, right? 00:18:36.244 --> 00:18:43.714 So if we had that economic, uh, capability, we'd be supporting the teachers much better. 00:18:44.074 --> 00:18:49.294 Um, so with this, uh, with this, and I saw this a couple years ago and it started my mind turning on that. 00:18:50.224 --> 00:18:59.314 your scenario, can we give somebody this, this virtual mentor that they can carry around with them and it's, it's not even a, uh, a visual handicap at this point. 00:18:59.314 --> 00:19:02.434 So it doesn't separate them and call them out for being different. 00:19:02.704 --> 00:19:04.744 Oh, you got the human walking with you. 00:19:05.104 --> 00:19:13.894 Um, it's in their ear and they can say, Hey, I'm going to math class and I really have, I really have trouble with math and I don't know where to start. 00:19:13.894 --> 00:19:16.384 I don't know how to talk to the teacher about it. 00:19:16.384 --> 00:19:18.124 Can you talk me through this? 00:19:19.114 --> 00:19:24.064 in a very supporting, caring way, um, it will say, Hey, you know, try this. 00:19:24.064 --> 00:19:33.244 And then depending on the knowledge that is contained, um, there's different scenarios that it will walk the student through on how to connect it. 00:19:33.304 --> 00:19:38.734 Uh, we could have that knowledge programmed with, um, you know, what's my locker combination? 00:19:38.734 --> 00:19:39.484 I forgot. 00:19:40.624 --> 00:19:58.989 and then I. I was listening to your episode last week with, uh, uh, you and Damon talking about software and I think, uh, I think it was Damon that was going into, um, we have this knowledge loss when a teacher leads and the teacher takes all that knowledge of the student. 00:19:59.359 --> 00:20:09.979 And then we have a certain amount of records, but those records are really cold and, and they really don't tell us about the student other than really their attendance and, and very, a very high level view. 00:20:10.309 --> 00:20:12.829 And I know a large part of your discussion was on. 00:20:13.714 --> 00:20:19.324 do we share a spreadsheet and what happens when we fat finger the spreadsheet and who has access to this knowledge? 00:20:19.324 --> 00:20:32.799 And, and, uh, so I envision taking the tool that, that we built and going beyond just supporting one person at a time, but in, in a scenario where, you know, we're not. 00:20:33.494 --> 00:20:37.964 the privacy concerns are taken care of, and it's all within the school system. 00:20:38.234 --> 00:21:02.054 How cool would it be for, you know, little Johnny or Jill to come into a class in, in, in second term and the teacher doesn't pull up a record and look at this, you know, black and white ones and zeros about the record, but what if they could just dial a phone number and said, hey, um, you know, I've got, uh, Johnny and his, his twin sister Jill in here in from, uh, you know, the next borough over. 00:21:02.809 --> 00:21:04.429 Um, can you tell me about 'em? 00:21:04.999 --> 00:21:14.029 And then conversationally, they're gonna be told about the highs, the lows, what they're having trouble with, what they really excel at. 00:21:14.509 --> 00:21:27.679 And I, I tell people, Jethro, that our AI technology is 50,000 years old back in the day before, you know, Gutenberg press and before writing instruments, um, we told stories. 00:21:28.234 --> 00:21:29.884 And it was human to human. 00:21:29.884 --> 00:21:30.904 That's how we learned. 00:21:30.904 --> 00:21:45.844 So we're going back to the basics, the true basics of having that conversation and we're scaling it, and we're giving the user this one-on-one time with this dynamic knowledge base that they can use when it suits them. 00:21:45.994 --> 00:21:50.314 They don't have to set an appointment, they don't have to call in at a certain time. 00:21:50.644 --> 00:21:54.184 Um, but all that information is there when they need it. 00:21:56.014 --> 00:22:03.934 Yeah, I just, I love what you're talking about DC because that's exactly where I want to get to, where the support is there. 00:22:04.909 --> 00:22:09.409 But the human still remains in in the conversation. 00:22:09.709 --> 00:22:20.269 Now you talked about going into the math class and saying, I really don't get this, and one of the real problems we have with students is that they. 00:22:21.034 --> 00:22:23.074 They don't articulate that. 00:22:23.374 --> 00:22:25.804 They act out with poor behavior. 00:22:26.014 --> 00:22:34.174 And, and that's typically how we find out that kids are struggling in school, is that they have poor behavior to start. 00:22:35.584 --> 00:22:46.084 Now, if someone cannot articulate that they're struggling with math, this is an area where maybe that, that phone call the teacher makes can help communicate that. 00:22:46.354 --> 00:22:49.954 Maybe not, but if there's a way for them to. 00:22:50.809 --> 00:23:13.729 Be able to get the help that they need, uh, without acting out behaviorally, then that would be ideal because that then lets everybody focus on learning and not focus on dealing with these negative behaviors that crop up when kids are doing things that to get out of the work or to avoid the difficult work. 00:23:13.734 --> 00:23:19.159 And, and this is a really important thing to all teachers and school leaders because. 00:23:20.134 --> 00:23:28.504 That's usually what happens is that it becomes a behavior issue, especially if the kid can't communicate effectively what's really going on. 00:23:28.504 --> 00:23:39.139 And this is, this is a huge problem in education that if we can find the solution to it will be, uh, it'll be a lifesaver for everybody, the kids, the adults, everybody involved in the process. 00:23:41.204 --> 00:23:49.689 I agreed a hundred percent teachers, gosh, put in 12 hour days for a seven hour class today, and, uh, they're doing work before, during, and after. 00:23:50.464 --> 00:23:54.304 And you would think it translates into a one-on-one time with a student. 00:23:54.544 --> 00:24:04.144 But, uh, I think on one of your episodes, uh, uh, saying I think, uh, Alaska has like five different state tests and they're on different platforms. 00:24:04.144 --> 00:24:09.515 So, uh, so much time we teach to the test just out of, you know. 00:24:10.279 --> 00:24:15.559 We're, we're kind of offhand as force uh, that we don't have time to actually teach. 00:24:15.559 --> 00:24:31.309 So, um, yeah, absolutely is, uh, with a, with a conversational, uh, tone, um, we can iterate back and forth through conversation much quicker than an email or, uh, records or maybe I make a phone call. 00:24:31.309 --> 00:24:34.729 And are these records correct or do you have more records about this student? 00:24:35.209 --> 00:24:38.774 And, um, there's, you know, there's students with parents. 00:24:39.424 --> 00:24:40.834 There's students without parents. 00:24:40.834 --> 00:24:44.164 There's students that, uh, have, uh, helicopter parents. 00:24:44.164 --> 00:24:48.754 There's those, uh, students with, uh, parents that, uh, work all the time. 00:24:48.754 --> 00:24:54.214 So we, we have no idea what the student, support system is back home. 00:24:54.574 --> 00:25:07.054 And, uh, absolutely if, uh, we need to work and offer every possible avenue of communication, um, because those, uh, sometimes we just need to be heard. 00:25:07.054 --> 00:25:08.014 And I, I point to. 00:25:08.509 --> 00:25:15.799 You know, Maslow's hierarchy, you know, it, uh, um, we have certain needs that need to be met before we can even exist. 00:25:15.799 --> 00:25:24.409 And I believe that, uh, um, being heard is, is a very strong need in, in human civilization as an individual. 00:25:24.649 --> 00:25:31.039 And if we're just heard that dispels and deflates and depressurizes, a lot of those volatile situations. 00:25:33.194 --> 00:25:39.679 It, it definitely doesn't, and people need to be heard no matter what, and a lot of times. 00:25:40.009 --> 00:25:48.829 Kids in schools seek to be heard by their behavior when the other things they're trying to do aren't working or they don't have the capacity to do that. 00:25:48.829 --> 00:25:52.939 So, um, this has been, this has been a great conversation. 00:25:52.939 --> 00:25:58.369 How can people, uh, get connected with you and with what you're doing with practical ai? 00:25:59.179 --> 00:25:59.839 Oh, certainly. 00:25:59.839 --> 00:26:10.279 So I have, uh, a nonprofit side, uh, it's called AI for Autistics, all spelled out AI for autistics.com that tells about a community that we build. 00:26:10.669 --> 00:26:15.409 Um, autistics have the, uh, the lowest employment rate we, we may have touched on earlier. 00:26:15.409 --> 00:26:18.414 So we guide and we teach on how to use, uh. 00:26:19.144 --> 00:26:20.974 AI to build software. 00:26:21.124 --> 00:26:24.154 And I know that came up in, in your conversation last week too. 00:26:24.424 --> 00:26:29.734 Um, and, uh, I think you said you use repli to build, but there's several other ones out there. 00:26:29.734 --> 00:26:36.844 So, uh, this a great tool for, uh, for those analytical, lean minded, which a lot of us fall into. 00:26:37.204 --> 00:26:40.684 Um, so we teach 'em how to build things, and that's a no cost. 00:26:40.684 --> 00:26:42.394 It just, it just is there. 00:26:42.784 --> 00:26:46.684 Um, on the for-profit side, the bigger realm of practical ai. 00:26:47.119 --> 00:26:48.139 Uh, app. 00:26:48.319 --> 00:26:53.149 So just like it sounds phonetically practical, AI apps, apple pair, pair. 00:26:53.539 --> 00:27:02.179 And if you, uh, find my name on LinkedIn, please reach out, say hello and I'd love to connect and, and help uh, everyone in your audience. 00:27:03.889 --> 00:27:04.179 Yeah. 00:27:04.194 --> 00:27:04.734 Very good. 00:27:04.734 --> 00:27:11.064 Well, this has been awesome and I know we just barely scratched the surface, so thank you so much for taking the time to chat with me today. 00:27:11.064 --> 00:27:13.314 And, uh, please, everybody go check out. 00:27:13.524 --> 00:27:18.834 Practical AI app, uh, or uh, AI for autistics.com. 00:27:19.194 --> 00:27:22.404 Thanks again so much, Stacy, for being part of Transformative Principal. 00:27:23.419 --> 00:27:25.339 Well thank you and uh, thank you for having me here. 00:27:25.344 --> 00:27:25.894 Have a great day.