WEBVTT - Demystifying AI for Our Community

0:00:00.120 --> 0:00:04.080
<v Speaker 1>It is an interesting time these days around AI. Over

0:00:04.120 --> 0:00:08.680
<v Speaker 1>the weekend, the board of directors for the nonprofit Open Ai,

0:00:09.000 --> 0:00:13.240
<v Speaker 1>which developed and operates chat gpt, which is super duper

0:00:13.240 --> 0:00:16.680
<v Speaker 1>popular I use it a lot, they abruptly fired the

0:00:16.720 --> 0:00:22.160
<v Speaker 1>co founder and now previous CEO, Sam Aldman. So they

0:00:22.160 --> 0:00:24.880
<v Speaker 1>did this in like like thirty minutes before the markets

0:00:24.920 --> 0:00:28.720
<v Speaker 1>closed on Friday, which that kind of thing only happens

0:00:28.760 --> 0:00:33.720
<v Speaker 1>in the rarest and most inflammatory circumstances because it's such

0:00:33.760 --> 0:00:37.000
<v Speaker 1>a market shifting move to do that right before the

0:00:37.040 --> 0:00:40.280
<v Speaker 1>markets closed, especially on a Friday. So this is big

0:00:40.360 --> 0:00:45.800
<v Speaker 1>news in AI as chat gpt has the fastest growing

0:00:46.120 --> 0:00:49.519
<v Speaker 1>user base for consumer app in history. They did one

0:00:49.600 --> 0:00:53.320
<v Speaker 1>hundred million users in two months. Now, to give you

0:00:53.360 --> 0:00:58.279
<v Speaker 1>some perspective, it took Facebook like four years to hit

0:00:58.320 --> 0:01:02.840
<v Speaker 1>one hundred million users. It took Twitter five years to

0:01:02.880 --> 0:01:05.080
<v Speaker 1>get one hundred million users. I think it took ig

0:01:05.480 --> 0:01:11.040
<v Speaker 1>Instagram of like two years. Open ais chat gpt did

0:01:11.040 --> 0:01:14.880
<v Speaker 1>it in two months, and almost as fast as they

0:01:15.640 --> 0:01:21.240
<v Speaker 1>blew up their incredible valuation, they blew up their incredible valuation.

0:01:21.680 --> 0:01:24.560
<v Speaker 1>So it went from look, they went from looking at

0:01:24.600 --> 0:01:30.120
<v Speaker 1>like a ninety billion dollar valuation to uncertainty in the

0:01:30.200 --> 0:01:34.240
<v Speaker 1>matter of hours and days since the board gave Sam

0:01:34.319 --> 0:01:37.800
<v Speaker 1>the boot. In April this year, the company was valued

0:01:37.840 --> 0:01:41.199
<v Speaker 1>at twenty nine billion dollars, and just a week ago

0:01:41.800 --> 0:01:45.000
<v Speaker 1>they were looking at a ninety billion dollar valuation raising

0:01:45.040 --> 0:01:49.600
<v Speaker 1>money at a ninety billion dollar valuation. From April's twenty

0:01:49.680 --> 0:01:52.440
<v Speaker 1>nine billion dollar valuation, they were on track to do

0:01:52.480 --> 0:01:56.320
<v Speaker 1>a billion dollars in revenue, which shows you how fast

0:01:57.000 --> 0:02:00.480
<v Speaker 1>chat gpt was growing and with the future looked like

0:02:00.520 --> 0:02:05.040
<v Speaker 1>for them. If you recall chat GPT, it was just

0:02:05.240 --> 0:02:08.680
<v Speaker 1>legit like launched ten months ago, eleven months ago, So

0:02:08.760 --> 0:02:13.920
<v Speaker 1>this is incredible growth such that AI is just about

0:02:14.160 --> 0:02:17.240
<v Speaker 1>all anybody is talking about these days, whether they're building it,

0:02:17.800 --> 0:02:21.000
<v Speaker 1>they're trying to fund it, they are starting an AI

0:02:21.080 --> 0:02:25.920
<v Speaker 1>focused startup, or they're afraid of it altogether. AI is

0:02:25.960 --> 0:02:29.639
<v Speaker 1>on many of our minds. At the time this recording,

0:02:29.680 --> 0:02:34.080
<v Speaker 1>a lot has happened. Sam was out at Open Ai

0:02:34.080 --> 0:02:38.519
<v Speaker 1>as CEO. This was just Friday. Then the employees and

0:02:38.639 --> 0:02:43.760
<v Speaker 1>investors revolted because the way people believed in Sam obviously

0:02:43.880 --> 0:02:46.600
<v Speaker 1>was a surprise to the board, so there were attempts

0:02:46.600 --> 0:02:50.160
<v Speaker 1>to bring him back over the weekend. Then that didn't

0:02:50.200 --> 0:02:54.040
<v Speaker 1>work out. Then today Microsoft says they're bringing him over

0:02:54.040 --> 0:02:59.120
<v Speaker 1>there to run some AI projects, and undoubtedly many necessary,

0:02:59.560 --> 0:03:03.240
<v Speaker 1>highly talented open ai employees who were on his team

0:03:03.480 --> 0:03:07.320
<v Speaker 1>will follow him in the Microsoft. So who knows what

0:03:07.400 --> 0:03:10.400
<v Speaker 1>will happen an hour after I published this episode, because

0:03:10.480 --> 0:03:13.520
<v Speaker 1>this is all happening so fast. Everything I just mentioned

0:03:13.600 --> 0:03:15.760
<v Speaker 1>happened in like the span of forty eight to seventy

0:03:15.800 --> 0:03:20.639
<v Speaker 1>two hours. This thing. Usually things like this play out

0:03:20.680 --> 0:03:21.360
<v Speaker 1>over weeks.

0:03:22.440 --> 0:03:22.600
<v Speaker 2>Now.

0:03:22.639 --> 0:03:25.920
<v Speaker 1>The reason I kick off this episode with this news

0:03:26.040 --> 0:03:29.800
<v Speaker 1>is because it's that significant. Because we all, if I mean,

0:03:30.000 --> 0:03:33.840
<v Speaker 1>if you've embraced at some level AI and you have

0:03:34.000 --> 0:03:37.880
<v Speaker 1>tried chat GPT at least once, there's no way you're

0:03:37.920 --> 0:03:42.400
<v Speaker 1>not hooked. It's so good at figuring out how to

0:03:42.480 --> 0:03:44.360
<v Speaker 1>say things in the way you want to say it,

0:03:44.400 --> 0:03:48.120
<v Speaker 1>by just you giving it some simple commands. And so

0:03:48.600 --> 0:03:52.120
<v Speaker 1>I wanted to start this episode off just to point

0:03:52.240 --> 0:03:55.600
<v Speaker 1>to make a point that things are moving so quickly

0:03:56.200 --> 0:03:59.760
<v Speaker 1>in our society. This is a rallying call, a rallying

0:04:00.160 --> 0:04:02.880
<v Speaker 1>to you, my black tech, green money family, to be

0:04:03.000 --> 0:04:07.080
<v Speaker 1>bout it. Nobody asked permission, Certainly the board that open

0:04:07.160 --> 0:04:10.480
<v Speaker 1>Ai didn't do a poll of their employees and investors

0:04:10.520 --> 0:04:13.800
<v Speaker 1>to see if kicking out the founder and CEO will

0:04:13.840 --> 0:04:18.520
<v Speaker 1>be acceptable. They just bust a move. So we're living

0:04:18.560 --> 0:04:22.560
<v Speaker 1>in the days where people who beg forgiveness versus ask

0:04:22.600 --> 0:04:25.599
<v Speaker 1>permission are going to be in a position to succeed.

0:04:26.680 --> 0:04:29.320
<v Speaker 1>If you're waiting for your work situation to get right,

0:04:29.960 --> 0:04:32.920
<v Speaker 1>or your kids to graduate, or the weather to warm

0:04:33.000 --> 0:04:35.279
<v Speaker 1>up in the sun to be out again before you

0:04:35.360 --> 0:04:40.880
<v Speaker 1>start making your moves, you'll be at a disadvantage. Things

0:04:40.880 --> 0:04:44.039
<v Speaker 1>that used to take months are happening now in hours.

0:04:44.480 --> 0:04:47.240
<v Speaker 1>So I want to bring you a conversation from afro

0:04:47.279 --> 0:04:52.240
<v Speaker 1>tech executive in Seattle between Jessica Matthews Jessica Old Matthews,

0:04:52.279 --> 0:04:57.120
<v Speaker 1>who's CEO and founder of Uncharted, and Johnny Bradley, who

0:04:57.200 --> 0:05:02.040
<v Speaker 1>was the responsible AI official for the Department of Energy

0:05:02.120 --> 0:05:06.840
<v Speaker 1>and senior program manager for the Artificial Intelligence and Technology Office.

0:05:07.920 --> 0:05:13.039
<v Speaker 1>Because this conversation they're having is about demystifying AI for

0:05:13.120 --> 0:05:15.680
<v Speaker 1>our community. So I hope you get something from this.

0:05:16.560 --> 0:05:20.919
<v Speaker 1>Follow along, find your way to not necessarily you have

0:05:20.960 --> 0:05:23.080
<v Speaker 1>to go build an AI startup, but find your way

0:05:23.120 --> 0:05:26.839
<v Speaker 1>to use it, leverage it to do what you want

0:05:26.880 --> 0:05:31.880
<v Speaker 1>to do, and do what you're doing even better, more efficiently, faster, cheaper,

0:05:32.640 --> 0:05:33.680
<v Speaker 1>and with a greater punch.

0:05:33.960 --> 0:05:42.920
<v Speaker 3>Okay, hello everyone, how are you? Yeah? Yeah, yes, yeah, okay,

0:05:43.160 --> 0:05:46.080
<v Speaker 3>So let's get into it, right, yeah, all right. So

0:05:46.160 --> 0:05:48.880
<v Speaker 3>you know I love soccer and you made socket. So

0:05:48.880 --> 0:05:51.520
<v Speaker 3>I just have to start this conversation off by asking

0:05:51.640 --> 0:05:57.560
<v Speaker 3>one question, why did you go from hardware to data solutions?

0:05:58.520 --> 0:06:00.560
<v Speaker 4>So we have to go real deep into like the

0:06:00.600 --> 0:06:06.880
<v Speaker 4>technical stuff, but for hi, everybody, Hello, Hello, Hello, thank you.

0:06:06.920 --> 0:06:12.600
<v Speaker 4>Will Will's dope just consistent. Ask dude, man, how much

0:06:12.640 --> 0:06:13.640
<v Speaker 4>cursing is allowed?

0:06:14.760 --> 0:06:15.000
<v Speaker 5>Right?

0:06:15.640 --> 0:06:17.599
<v Speaker 4>That's always what I like to check. I tend to

0:06:17.680 --> 0:06:24.120
<v Speaker 4>check after my first one fuck falls out. So listen, y'all.

0:06:24.120 --> 0:06:26.240
<v Speaker 4>I flew here from Harlem and I was like here, like,

0:06:26.279 --> 0:06:28.360
<v Speaker 4>where does Morgan have me flying to you? Now? That's

0:06:28.400 --> 0:06:30.000
<v Speaker 4>what I thought was on that plane. I was like,

0:06:30.000 --> 0:06:34.080
<v Speaker 4>oh damn Seattle, Seattle, okay. And I was walking down

0:06:34.080 --> 0:06:36.599
<v Speaker 4>the street and I was like, where all the black people?

0:06:36.800 --> 0:06:37.000
<v Speaker 3>Right?

0:06:38.000 --> 0:06:45.480
<v Speaker 4>And then but then you're here, Hello, hello, gathered them off? No, no,

0:06:45.560 --> 0:06:49.000
<v Speaker 4>So say, you know, it's a good question. So, uh,

0:06:49.320 --> 0:06:52.200
<v Speaker 4>what Jonie's talk about here is that I started my

0:06:52.279 --> 0:06:57.200
<v Speaker 4>career making energy generating play products. So when I was

0:06:57.360 --> 0:07:00.599
<v Speaker 4>nineteen years old, I invented an energy generator eating soccer

0:07:00.640 --> 0:07:04.320
<v Speaker 4>ball that could harness the energy from play, the kinetic energy,

0:07:04.680 --> 0:07:08.159
<v Speaker 4>and store that power inside of the ball. Yeah, it

0:07:08.200 --> 0:07:10.480
<v Speaker 4>was pretty cool. You could play with it, you could roll,

0:07:10.520 --> 0:07:14.000
<v Speaker 4>you know, as it rolled, it was generating energy, and

0:07:14.080 --> 0:07:16.320
<v Speaker 4>about an hour of play would give you three hours

0:07:16.320 --> 0:07:21.440
<v Speaker 4>of light. Fast forward. Now I'm thirty five. I don't

0:07:21.480 --> 0:07:28.880
<v Speaker 4>have problem saying it because, like, you know, me, black guys, good, right,

0:07:29.200 --> 0:07:35.600
<v Speaker 4>what I'm saying? So, and and I run a data

0:07:35.720 --> 0:07:42.320
<v Speaker 4>infrastructure company that uses AI to help disadvantaged communities develop

0:07:42.360 --> 0:07:47.800
<v Speaker 4>sustainable infrastructure with more equity and efficiency than ever before. Right,

0:07:49.320 --> 0:07:53.640
<v Speaker 4>So how did I get from there to here? Well,

0:07:54.400 --> 0:07:57.000
<v Speaker 4>one thing is that my true north was always incredibly

0:07:57.040 --> 0:08:04.400
<v Speaker 4>clear to me. I'm a dual citizen of Nigeria and States. Always,

0:08:04.560 --> 0:08:07.520
<v Speaker 4>even in Seattle, where I'm being so messed up.

0:08:07.680 --> 0:08:08.360
<v Speaker 6>Yeah, yeah.

0:08:08.760 --> 0:08:12.240
<v Speaker 4>The only thing I know about Seattle's Nirvana. Right, So,

0:08:12.240 --> 0:08:14.320
<v Speaker 4>so I like, and I love Nirvana. So I was like, sheah,

0:08:14.320 --> 0:08:17.560
<v Speaker 4>I wear my flannel. My mom was like oh s

0:08:18.040 --> 0:08:29.080
<v Speaker 4>ohse glenno. So so for me, you know, it was

0:08:29.320 --> 0:08:31.680
<v Speaker 4>going back and forth between Nigeria and the United States,

0:08:32.160 --> 0:08:35.480
<v Speaker 4>whether it's for weddings or funerals, and just recognizing that

0:08:35.760 --> 0:08:38.360
<v Speaker 4>there were some things that were so dope, like everybody

0:08:38.600 --> 0:08:43.160
<v Speaker 4>had a mobile phone. It became ubiquitous very quickly. Oftentimes

0:08:43.200 --> 0:08:45.320
<v Speaker 4>my cousins had a better cell phone than I did.

0:08:46.160 --> 0:08:49.439
<v Speaker 4>But also wondering like why is it that it doesn't

0:08:49.440 --> 0:08:51.400
<v Speaker 4>matter if we're in the village or if we're in

0:08:51.440 --> 0:08:54.320
<v Speaker 4>like the bustling city of Legos that were losing power

0:08:54.840 --> 0:08:59.520
<v Speaker 4>every single day. And I knew it wasn't because like

0:08:59.679 --> 0:09:01.960
<v Speaker 4>there were with the technologies that needed to exist to

0:09:02.000 --> 0:09:06.640
<v Speaker 4>make that happen. I knew it was an infrastructural issue immediately.

0:09:06.679 --> 0:09:10.840
<v Speaker 4>In fact, oftentimes in places like Nigeria, people are paying

0:09:10.880 --> 0:09:13.120
<v Speaker 4>more per kilowatt hour than we pay here in the

0:09:13.200 --> 0:09:15.000
<v Speaker 4>United States. I don't know if that's true anymore, because

0:09:15.240 --> 0:09:17.720
<v Speaker 4>like I was, the bills getting high, I was your

0:09:17.720 --> 0:09:21.079
<v Speaker 4>bills getting high. But at least before it was very

0:09:21.160 --> 0:09:25.719
<v Speaker 4>much like that. And you know, I believe that the

0:09:26.160 --> 0:09:29.240
<v Speaker 4>first step in innovation is the articulation of the problem.

0:09:29.960 --> 0:09:33.720
<v Speaker 4>And at the age of seventeen eighteen, I articulated the

0:09:33.720 --> 0:09:37.160
<v Speaker 4>problem to be that people like my cousins who were

0:09:37.480 --> 0:09:40.960
<v Speaker 4>trained engineers did not believe that there could be a

0:09:41.000 --> 0:09:44.760
<v Speaker 4>world where things could be different. They did not believe

0:09:44.920 --> 0:09:48.760
<v Speaker 4>that this problem could be solved by some innovation or

0:09:48.760 --> 0:09:52.720
<v Speaker 4>some public private partnership. They simply thought that the best

0:09:52.720 --> 0:09:54.880
<v Speaker 4>way to solve the problem was to pretend like it's

0:09:54.920 --> 0:09:58.000
<v Speaker 4>not happening and to get used to it. And so

0:09:58.200 --> 0:10:02.200
<v Speaker 4>I wanted to create something that would make them change

0:10:02.200 --> 0:10:05.720
<v Speaker 4>that view, that would make them see in the world

0:10:05.760 --> 0:10:07.360
<v Speaker 4>not just as it is, but as it could be.

0:10:08.240 --> 0:10:11.480
<v Speaker 4>And soccer is the most popular sport around the world,

0:10:12.200 --> 0:10:17.160
<v Speaker 4>my favorite sport, the most popular sport. And I'm assuming

0:10:17.200 --> 0:10:19.760
<v Speaker 4>you're probably really good. My cousins were not that good.

0:10:22.120 --> 0:10:24.040
<v Speaker 3>Teams to the championship.

0:10:24.800 --> 0:10:28.040
<v Speaker 4>I was good. Oh, you were so good that you

0:10:28.080 --> 0:10:31.640
<v Speaker 4>were bad. Now my cousins were just My cousins were

0:10:31.679 --> 0:10:34.400
<v Speaker 4>so average that they were like, why are we playing

0:10:34.440 --> 0:10:38.400
<v Speaker 4>this game? This is awkward. So but in that in

0:10:38.440 --> 0:10:40.719
<v Speaker 4>that way though, seeing their passion and seeing the way

0:10:40.760 --> 0:10:43.760
<v Speaker 4>that they would play on the field, I'm like, you know,

0:10:43.800 --> 0:10:46.640
<v Speaker 4>the way that you approach this game, knowing damn well

0:10:46.679 --> 0:10:48.760
<v Speaker 4>that you are at best average is the way you

0:10:48.800 --> 0:10:51.080
<v Speaker 4>need to approach life. It's the way you need to

0:10:51.120 --> 0:10:54.640
<v Speaker 4>approach all of the problems in our community and infrastructurally,

0:10:55.360 --> 0:10:58.600
<v Speaker 4>and so my thought was, like, let me create something

0:10:59.000 --> 0:11:02.000
<v Speaker 4>that would inspere hire them to do it. And what

0:11:02.160 --> 0:11:05.840
<v Speaker 4>ended up happening was that long story short inspired me

0:11:05.880 --> 0:11:06.240
<v Speaker 4>to do it.

0:11:06.600 --> 0:11:06.960
<v Speaker 5>Got it?

0:11:07.200 --> 0:11:07.520
<v Speaker 3>Okay?

0:11:07.559 --> 0:11:10.240
<v Speaker 4>Yeah, all right. It took a while to figure out

0:11:10.320 --> 0:11:14.000
<v Speaker 4>exactly what technologies would get there. First it was the

0:11:14.040 --> 0:11:18.080
<v Speaker 4>play products, and then different inventions, and then a couple

0:11:18.080 --> 0:11:22.000
<v Speaker 4>of years ago, right before the pandemic, I started to

0:11:22.080 --> 0:11:25.319
<v Speaker 4>realize that the common thread in every community wasn't needing,

0:11:25.800 --> 0:11:28.560
<v Speaker 4>like you know, an energy generating speed bump or some

0:11:28.720 --> 0:11:31.680
<v Speaker 4>cool thing here or there that was fun but couldn't scale.

0:11:31.880 --> 0:11:35.280
<v Speaker 4>The common problem was data. It didn't matter if it

0:11:35.360 --> 0:11:39.560
<v Speaker 4>was in Nigeria or in the US. The data problems

0:11:40.240 --> 0:11:45.000
<v Speaker 4>were kind of compiling on each other, and that when

0:11:45.040 --> 0:11:47.920
<v Speaker 4>governments were operating in the right way, they were spending

0:11:47.960 --> 0:11:51.280
<v Speaker 4>at least half of their time tracking down, collecting, correcting,

0:11:51.360 --> 0:11:56.080
<v Speaker 4>and sharing SOILID information to make infrastructure decisions. They often

0:11:56.160 --> 0:11:58.360
<v Speaker 4>did not have the right information to know where to

0:11:58.400 --> 0:12:02.520
<v Speaker 4>prioritize who should be getting the solar or where should

0:12:02.520 --> 0:12:05.079
<v Speaker 4>we be replacing the lead pipes, And in the other

0:12:05.080 --> 0:12:07.000
<v Speaker 4>half of the time, they were just quote unquote shooting

0:12:07.040 --> 0:12:09.760
<v Speaker 4>from the hip, and so I was like, well, if

0:12:09.760 --> 0:12:12.439
<v Speaker 4>we could solve the data problem and improve the way

0:12:12.480 --> 0:12:16.040
<v Speaker 4>that they're organizing their data to make decisions to build

0:12:16.120 --> 0:12:19.760
<v Speaker 4>sustainable infrastructure, we can help them build it faster, we

0:12:19.800 --> 0:12:22.480
<v Speaker 4>can help them build it for less. And then as

0:12:22.480 --> 0:12:24.880
<v Speaker 4>a result, we can either help them make it more

0:12:24.880 --> 0:12:27.560
<v Speaker 4>equitable or at least make it very obvious when they're

0:12:27.600 --> 0:12:30.959
<v Speaker 4>being fucked up, like make it more obvious, like, listen,

0:12:30.960 --> 0:12:32.199
<v Speaker 4>that's what the data say. If you just want to

0:12:32.240 --> 0:12:33.520
<v Speaker 4>do that, you can do that, but don't act like that

0:12:33.679 --> 0:12:36.760
<v Speaker 4>data didn't say that. And so that's how we came

0:12:36.840 --> 0:12:38.079
<v Speaker 4>up with our current products.

0:12:38.080 --> 0:12:44.040
<v Speaker 3>And we thank you, right, we thank you for that transition.

0:12:45.679 --> 0:12:46.800
<v Speaker 4>So we want to.

0:12:46.800 --> 0:12:51.280
<v Speaker 3>Talk about demystifying AI. So when we look at AI,

0:12:51.440 --> 0:12:53.480
<v Speaker 3>I always think about that time and I don't I

0:12:53.520 --> 0:12:57.480
<v Speaker 3>don't mind dating myself either. Fifty three Listen, I don't

0:12:57.480 --> 0:12:58.160
<v Speaker 3>mind that either.

0:12:58.600 --> 0:13:00.920
<v Speaker 4>We should just talk about that.

0:13:00.040 --> 0:13:08.040
<v Speaker 3>I do, right, this homegrown. So back when I was born,

0:13:08.160 --> 0:13:11.640
<v Speaker 3>actually legislation was passed on cigarettes. But as I grew up,

0:13:11.720 --> 0:13:13.800
<v Speaker 3>you know, cigarettes was just like whoa, it was a

0:13:13.800 --> 0:13:15.960
<v Speaker 3>cool thing to do. You had this slim lady smoking

0:13:16.000 --> 0:13:19.000
<v Speaker 3>a cigarette, right, and it was just like ayeing to me, right,

0:13:19.280 --> 0:13:21.520
<v Speaker 3>And for twenty years I smoked based off of that.

0:13:21.800 --> 0:13:26.360
<v Speaker 3>But what I will say is this, they demystified those cigarettes.

0:13:26.440 --> 0:13:26.760
<v Speaker 2>It was not.

0:13:28.720 --> 0:13:33.160
<v Speaker 3>Right, and that's great, that's that's that's my exact point

0:13:33.480 --> 0:13:37.000
<v Speaker 3>is that during my time, it was cool, right, and

0:13:37.040 --> 0:13:39.920
<v Speaker 3>it was the thing to do. And as time went

0:13:40.040 --> 0:13:44.959
<v Speaker 3>by and the Surgeon General said, no, put these warnings

0:13:45.000 --> 0:13:47.960
<v Speaker 3>on each pack of these cigarettes and let people know

0:13:48.200 --> 0:13:51.920
<v Speaker 3>exactly what it does to you, and it would curb

0:13:52.240 --> 0:13:55.960
<v Speaker 3>and it just like demystified the coolness and the sexiness

0:13:56.000 --> 0:14:00.720
<v Speaker 3>of cigarettes. So my question is, how do we demystify AI?

0:14:01.480 --> 0:14:07.480
<v Speaker 4>Girl? Oh yeah, listen, because we had a hole behind

0:14:07.520 --> 0:14:10.040
<v Speaker 4>the scenes conversation y'all that we're trying to like, you know,

0:14:10.160 --> 0:14:15.400
<v Speaker 4>keep civil for the cameras and all that. So I

0:14:15.400 --> 0:14:17.360
<v Speaker 4>think that's part of why you guys are here, right.

0:14:17.400 --> 0:14:20.960
<v Speaker 4>Everyone's talking about AI. Everyone's acting like it's the new

0:14:21.040 --> 0:14:24.000
<v Speaker 4>hot thing, and they're acting like it's this black bots

0:14:24.040 --> 0:14:27.080
<v Speaker 4>and it's this scary monster that cannot be controlled and

0:14:27.120 --> 0:14:30.840
<v Speaker 4>things are just happening, but it's it's really not, you know,

0:14:31.040 --> 0:14:34.160
<v Speaker 4>like you should not be afraid of AI. You should

0:14:34.160 --> 0:14:38.000
<v Speaker 4>be afraid of the people who are building it. That's it. So,

0:14:38.640 --> 0:14:41.480
<v Speaker 4>like what it comes down to, let's break this down, right,

0:14:42.360 --> 0:14:47.840
<v Speaker 4>AI artificial intelligence, right, and we discuss this. It's it's

0:14:47.920 --> 0:14:50.920
<v Speaker 4>kind of like a child. It's a child. It's like

0:14:50.960 --> 0:14:54.640
<v Speaker 4>a robot baby, right, chat GPT is at best a

0:14:54.720 --> 0:14:57.000
<v Speaker 4>sassy seven year old. And we all know, right, we

0:14:57.000 --> 0:14:58.640
<v Speaker 4>all know that seven year old that was born in

0:14:58.760 --> 0:15:02.520
<v Speaker 4>like you know, I don't know whatever seven years ago

0:15:02.720 --> 0:15:06.680
<v Speaker 4>was like you know, like but like basically recently grew

0:15:06.760 --> 0:15:09.120
<v Speaker 4>up with all the social media platforms and be out

0:15:09.160 --> 0:15:11.480
<v Speaker 4>here talking to you like they've grown, and you'd be like, well,

0:15:11.520 --> 0:15:16.880
<v Speaker 4>damn girl, you've grown. No, they just online? No, Like,

0:15:17.040 --> 0:15:19.160
<v Speaker 4>do not have this seven year old do your taxes?

0:15:19.720 --> 0:15:23.400
<v Speaker 4>It might go well sometimes until it does not, right,

0:15:24.040 --> 0:15:26.600
<v Speaker 4>But what it ultimately then comes down to you have

0:15:26.640 --> 0:15:30.040
<v Speaker 4>to ask yourself, is okay, so if this is just

0:15:30.680 --> 0:15:34.560
<v Speaker 4>this this code that has a great capacity to learn, right,

0:15:34.880 --> 0:15:39.440
<v Speaker 4>and the way it's taught to learn, it's algorithms. Algorithms

0:15:39.520 --> 0:15:43.280
<v Speaker 4>are just processes. Like people like to use fancy words

0:15:43.320 --> 0:15:46.080
<v Speaker 4>to scare us and say, oh, that's a distant thing.

0:15:46.640 --> 0:15:50.920
<v Speaker 4>But if you have a process for anything. That's an algorithm.

0:15:51.240 --> 0:15:54.160
<v Speaker 4>That's an algorithm. You can call it that. Especially half

0:15:54.280 --> 0:15:56.280
<v Speaker 4>y'all when y'all women look great in here, I know

0:15:56.320 --> 0:15:58.160
<v Speaker 4>what you had to do, whatever you had to do

0:15:58.240 --> 0:16:01.760
<v Speaker 4>to get here on time. That's a very efficient algorithm.

0:16:01.960 --> 0:16:04.560
<v Speaker 4>That's a very efficient algorithm. And all it actually comes

0:16:04.640 --> 0:16:07.720
<v Speaker 4>down to is, then how are you teaching that to

0:16:09.000 --> 0:16:14.080
<v Speaker 4>an artificial intelligence? How are you teaching that to this robot? Baby?

0:16:14.200 --> 0:16:15.760
<v Speaker 4>Let's just put it in that way so that it

0:16:15.800 --> 0:16:20.120
<v Speaker 4>can start to do that for you. So to that end,

0:16:20.280 --> 0:16:23.240
<v Speaker 4>when we talk about demystifying it, and we talked about

0:16:23.240 --> 0:16:28.080
<v Speaker 4>this a lot, you have to wonder who's doing the teaching.

0:16:29.480 --> 0:16:33.200
<v Speaker 4>You have to wonder who's doing the teaching and how

0:16:33.200 --> 0:16:40.160
<v Speaker 4>are they framing the way that this child should observe

0:16:40.680 --> 0:16:44.320
<v Speaker 4>and respond to the world. So if someone is not

0:16:44.400 --> 0:16:47.040
<v Speaker 4>aware of their biases, if someone is not aware of

0:16:47.080 --> 0:16:50.960
<v Speaker 4>the fact, like, can you imagine who's the guy who

0:16:51.000 --> 0:16:53.040
<v Speaker 4>does open Aye, I'm not trying to start no shit though,

0:16:53.160 --> 0:16:55.040
<v Speaker 4>this is going out to the world. But let's just

0:16:55.080 --> 0:16:57.640
<v Speaker 4>let's not use him specifically, because you know, but let's

0:16:58.360 --> 0:17:04.280
<v Speaker 4>can you imagine can you imagine an Elon Musk? Can

0:17:04.320 --> 0:17:08.439
<v Speaker 4>you imagine Elon Musk being at trying to teach AI

0:17:09.119 --> 0:17:14.880
<v Speaker 4>how to help me do my hair. I could imagine

0:17:15.520 --> 0:17:18.200
<v Speaker 4>he thinks he can do it. He thinks, of course,

0:17:18.280 --> 0:17:22.560
<v Speaker 4>no problem. And that's a that's a fun example, right.

0:17:22.800 --> 0:17:27.000
<v Speaker 4>Where So when we talk about demystifying AI, it's it's

0:17:27.200 --> 0:17:30.600
<v Speaker 4>really saying take the blame away from the AI and

0:17:30.680 --> 0:17:34.600
<v Speaker 4>start focusing on the people who are training these models right,

0:17:34.640 --> 0:17:37.160
<v Speaker 4>and start focusing on whether or not whether they are

0:17:37.200 --> 0:17:39.840
<v Speaker 4>doing it so intentionally or on intentionally if they're actually

0:17:39.840 --> 0:17:44.719
<v Speaker 4>considering the vast globe of people and all of their problems.

0:17:44.920 --> 0:17:48.560
<v Speaker 4>Because all AI is really is a tool. It's a

0:17:48.600 --> 0:17:52.440
<v Speaker 4>tool to help us do more. To help people do more,

0:17:52.800 --> 0:17:57.480
<v Speaker 4>you need people to train this AI and trust despite

0:17:57.520 --> 0:17:59.920
<v Speaker 4>all the things that you're hearing about AI taking job,

0:18:01.240 --> 0:18:04.199
<v Speaker 4>the thousands of jobs will be created because of what this

0:18:04.320 --> 0:18:07.640
<v Speaker 4>AI is doing. The people who used to drive the carriages,

0:18:07.680 --> 0:18:10.560
<v Speaker 4>when they saw the cars, they were like, I don't know,

0:18:10.800 --> 0:18:13.560
<v Speaker 4>it's getting pretty scary out here. That car don't even

0:18:13.600 --> 0:18:16.760
<v Speaker 4>got no horses. They're like, this is just wild, this

0:18:16.920 --> 0:18:20.520
<v Speaker 4>is crazy. I don't trust this. Okay, Sure they found

0:18:20.560 --> 0:18:23.760
<v Speaker 4>new jobs. So there. I feel like when people start

0:18:23.800 --> 0:18:25.720
<v Speaker 4>to say things like, oh, well be afraid of it.

0:18:25.920 --> 0:18:29.119
<v Speaker 4>Oh it's gonna take your job. What they're really trying

0:18:29.160 --> 0:18:32.679
<v Speaker 4>to do is make you afraid of going behind the

0:18:32.760 --> 0:18:37.159
<v Speaker 4>veil and wonder why can't I be part of the

0:18:37.200 --> 0:18:40.680
<v Speaker 4>team that's building this AI. Why can't I be part

0:18:40.680 --> 0:18:43.879
<v Speaker 4>of the crew that's raising this baby. You know, they

0:18:43.880 --> 0:18:45.840
<v Speaker 4>say it takes a village, not just some dude who

0:18:45.880 --> 0:18:49.639
<v Speaker 4>doesn't blink in the corner. So why are we allowing you?

0:18:49.920 --> 0:18:53.280
<v Speaker 3>I love the sasey seven year old. So now let's

0:18:53.280 --> 0:18:56.359
<v Speaker 3>talk about that sassy seven year old. All of you

0:18:56.440 --> 0:18:59.600
<v Speaker 3>know the landscape today, right, you have states that are

0:18:59.640 --> 0:19:03.720
<v Speaker 3>removed diversity and inclusion. You have states that are removing

0:19:03.840 --> 0:19:06.240
<v Speaker 3>African studies. You can't say the word gay. And you

0:19:06.280 --> 0:19:07.720
<v Speaker 3>know I could go on and on, right because I

0:19:07.720 --> 0:19:10.159
<v Speaker 3>watched the news all day every day so and I

0:19:10.200 --> 0:19:13.600
<v Speaker 3>don't watch Fox, sorry, but I will say this is

0:19:13.640 --> 0:19:19.440
<v Speaker 3>that what do those practitioners look like in the future? Now,

0:19:19.520 --> 0:19:22.320
<v Speaker 3>this sas seven year old has never had anyone tangling

0:19:22.359 --> 0:19:25.720
<v Speaker 3>with it that did not have diversity and inclusion. Because

0:19:25.760 --> 0:19:29.080
<v Speaker 3>you have that today, right, you have African American studies today, right,

0:19:29.160 --> 0:19:32.320
<v Speaker 3>you have gender equality, you have these things today, but

0:19:32.440 --> 0:19:35.520
<v Speaker 3>as the days go on, these things are being removed slowly.

0:19:35.920 --> 0:19:39.480
<v Speaker 3>So now you have people that are graduating college that

0:19:39.640 --> 0:19:43.119
<v Speaker 3>want to be an AI practitioner, but they did not

0:19:43.320 --> 0:19:47.320
<v Speaker 3>learn what discrimination was because they didn't believe in racism.

0:19:47.560 --> 0:19:47.840
<v Speaker 5>Right.

0:19:48.000 --> 0:19:50.240
<v Speaker 3>I had someone tell me yesterday when I was eating

0:19:50.280 --> 0:19:52.199
<v Speaker 3>She was like, my best friend said that there was

0:19:52.240 --> 0:19:52.920
<v Speaker 3>no racism.

0:19:53.640 --> 0:19:55.320
<v Speaker 4>Do I want that.

0:19:55.480 --> 0:20:00.760
<v Speaker 3>Person tangling with my sassy seven year old? And how

0:20:00.760 --> 0:20:01.359
<v Speaker 3>does that look?

0:20:01.440 --> 0:20:03.199
<v Speaker 4>I think you know, you know, you know the answer,

0:20:03.280 --> 0:20:07.360
<v Speaker 4>all right. I want to before I respond, I want

0:20:07.400 --> 0:20:08.960
<v Speaker 4>to do a quick show of hands. How many of

0:20:09.000 --> 0:20:14.040
<v Speaker 4>you are here because you're considering how to be more

0:20:14.040 --> 0:20:19.199
<v Speaker 4>involved in the AI industry? Okay, okay? How many of

0:20:19.240 --> 0:20:23.359
<v Speaker 4>you are here because everyone's been talking about AI and

0:20:23.400 --> 0:20:26.480
<v Speaker 4>you're like, what what is this? And you're just trying

0:20:26.520 --> 0:20:32.040
<v Speaker 4>to understand what it actually is? Oh okay, okay, be proud,

0:20:32.080 --> 0:20:33.840
<v Speaker 4>put your hand up on Okay.

0:20:33.800 --> 0:20:35.680
<v Speaker 3>That's right. Yeah.

0:20:35.720 --> 0:20:39.639
<v Speaker 4>How many of you in some way already work with

0:20:39.840 --> 0:20:45.320
<v Speaker 4>AI or related to AI? Okay, okay. And so your

0:20:45.359 --> 0:20:48.600
<v Speaker 4>concern then is really that you feel like there's a

0:20:48.640 --> 0:20:52.760
<v Speaker 4>lot of things happening around you that you don't understand

0:20:52.840 --> 0:20:58.280
<v Speaker 4>or don't like or can't control. Okay, so this is

0:20:58.920 --> 0:21:03.960
<v Speaker 4>what what you're getting at. Indeed, we have to be

0:21:04.080 --> 0:21:08.400
<v Speaker 4>concerned in general, and this goes beyond AI, that we're

0:21:08.440 --> 0:21:11.840
<v Speaker 4>going to start to have generations of people who are

0:21:12.280 --> 0:21:19.240
<v Speaker 4>very much driving our economy, driving industries, developing technologies that

0:21:19.440 --> 0:21:23.320
<v Speaker 4>will have, from our perspective and our opinion, a skewed

0:21:24.560 --> 0:21:27.520
<v Speaker 4>view of the world and how things work. And they're

0:21:27.520 --> 0:21:30.880
<v Speaker 4>not only going to teach their NI their natural children,

0:21:31.080 --> 0:21:35.400
<v Speaker 4>that they're going to teach the AI this. But because

0:21:35.480 --> 0:21:40.960
<v Speaker 4>of the rapid impact and a rapid scale, it's it's

0:21:40.960 --> 0:21:43.360
<v Speaker 4>not as bad as like, oh, those three kids grew

0:21:43.400 --> 0:21:45.480
<v Speaker 4>up in that racist sexist house, so now they're racist

0:21:45.520 --> 0:21:50.640
<v Speaker 4>and sexist. It's that AI was developed by this person

0:21:50.680 --> 0:21:54.560
<v Speaker 4>who has racist and sexist biases. And because of how

0:21:54.600 --> 0:21:58.720
<v Speaker 4>impactful AI can be, we now have an army of racist,

0:21:59.160 --> 0:22:04.679
<v Speaker 4>sexist or the very least incredibly aloof right like things

0:22:04.760 --> 0:22:11.120
<v Speaker 4>happen right. So my perspective is ultimately radical self reliance.

0:22:12.840 --> 0:22:17.000
<v Speaker 4>I can't help what's going on specifically Macro in Florida,

0:22:17.280 --> 0:22:20.040
<v Speaker 4>in Texas, but I do know people who live there

0:22:20.080 --> 0:22:22.359
<v Speaker 4>who are saying, regardless of what they're teaching, my kids

0:22:22.359 --> 0:22:24.280
<v Speaker 4>in school. Here's what I'm going to teach you at home.

0:22:25.280 --> 0:22:30.160
<v Speaker 4>And so that's why I've been kind of recently saying, please, please, please.

0:22:30.240 --> 0:22:32.960
<v Speaker 4>The last thing you should be is afraid of AI.

0:22:33.440 --> 0:22:35.800
<v Speaker 4>This is now, more than ever, the time where you

0:22:35.840 --> 0:22:38.919
<v Speaker 4>need to be incredibly excited about this tool. But you

0:22:38.960 --> 0:22:40.600
<v Speaker 4>need to see this as a battle and you need

0:22:40.640 --> 0:22:42.359
<v Speaker 4>to do everything you can to get your hands on

0:22:42.400 --> 0:22:45.119
<v Speaker 4>this weapon as well. I'm gonna keep it super super

0:22:45.160 --> 0:22:48.560
<v Speaker 4>real about this. So, as I said earlier, I'm a

0:22:48.560 --> 0:22:51.040
<v Speaker 4>thirty five year old woman, I'm married, I love my husband.

0:22:51.280 --> 0:22:54.280
<v Speaker 4>I'm getting ready and preparing myself to freeze my eggs.

0:22:55.880 --> 0:22:56.120
<v Speaker 7>And.

0:22:57.680 --> 0:22:59.199
<v Speaker 4>I'm gonna be keep it real. Part of me is

0:22:59.240 --> 0:23:03.720
<v Speaker 4>doing that because I learned that the maternal mortality rate

0:23:03.800 --> 0:23:08.520
<v Speaker 4>has gotten worse. It's twenty twenty three. It is twenty

0:23:08.560 --> 0:23:12.960
<v Speaker 4>twenty three in a developed country, and you're telling me

0:23:13.000 --> 0:23:15.240
<v Speaker 4>that over the last couple of years. And it's not

0:23:15.320 --> 0:23:18.680
<v Speaker 4>just because of COVID. If I get pregnant, I have

0:23:18.760 --> 0:23:21.920
<v Speaker 4>twelve patents and patents pending. I'm building all these different things,

0:23:21.960 --> 0:23:25.000
<v Speaker 4>and the thing that scares me the most is having

0:23:25.000 --> 0:23:29.879
<v Speaker 4>a baby and dying. But the people are developing AI

0:23:30.680 --> 0:23:36.480
<v Speaker 4>to do the wildest, most random shit possible. But women

0:23:36.520 --> 0:23:42.920
<v Speaker 4>are dying when when they get pregnant, because not enough

0:23:43.000 --> 0:23:46.440
<v Speaker 4>women and definitely not enough Black women are sitting there saying,

0:23:46.440 --> 0:23:48.640
<v Speaker 4>how can I use AI as a tool to keep

0:23:48.680 --> 0:23:52.800
<v Speaker 4>more of us alive? And the only way that's gonna

0:23:52.840 --> 0:23:54.879
<v Speaker 4>change is if more of us say we're not afraid

0:23:54.880 --> 0:23:57.639
<v Speaker 4>of AI. Regardless you know what, y'all are gonna do

0:23:57.680 --> 0:23:58.960
<v Speaker 4>what you want to do with it, But here's what

0:23:59.000 --> 0:24:01.399
<v Speaker 4>I'm gonna do with it. Here's how I'm going to

0:24:01.440 --> 0:24:03.960
<v Speaker 4>teach this child on home, regardless of what you're doing.

0:24:04.320 --> 0:24:06.360
<v Speaker 4>And so that to me is the only answer. It's

0:24:06.600 --> 0:24:10.520
<v Speaker 4>it is not too late for us all to recognize

0:24:10.600 --> 0:24:14.760
<v Speaker 4>that this will not be done for us. This will

0:24:14.800 --> 0:24:17.320
<v Speaker 4>not be something where we can hope that the right

0:24:17.520 --> 0:24:20.040
<v Speaker 4>few people at the top are going to be thinking

0:24:20.040 --> 0:24:22.320
<v Speaker 4>about all the things that we need. We know this,

0:24:22.440 --> 0:24:25.520
<v Speaker 4>or we would not have systemic issues right now. We

0:24:25.640 --> 0:24:29.040
<v Speaker 4>know this. So but what I now view, though, is

0:24:29.040 --> 0:24:32.440
<v Speaker 4>that I believe the technology is one of the best equalizers,

0:24:32.440 --> 0:24:38.240
<v Speaker 4>one of the best democratizing tools, and that to me

0:24:38.400 --> 0:24:41.160
<v Speaker 4>is exciting. That to me is an opportunity. So let's

0:24:41.160 --> 0:24:44.199
<v Speaker 4>stop talking about being afraid. Let's stop talking about it

0:24:44.200 --> 0:24:47.680
<v Speaker 4>as a black box. There are several low code and

0:24:47.760 --> 0:24:51.840
<v Speaker 4>no code tools that you can use to create something

0:24:51.840 --> 0:24:54.640
<v Speaker 4>in AI if you want to. How do we get

0:24:54.680 --> 0:24:59.560
<v Speaker 4>people to see this as a playground versus I don't

0:24:59.560 --> 0:25:06.159
<v Speaker 4>know more? T ruary right right. I'm also literally not

0:25:06.240 --> 0:25:10.360
<v Speaker 4>kidden my I'm sorry. My dad literally two days ago

0:25:10.400 --> 0:25:12.760
<v Speaker 4>and was like, oh, my grandkids are in the freezer.

0:25:12.960 --> 0:25:18.040
<v Speaker 4>I don't know when they're getting out. And I was like, actually, Dad, Tiana,

0:25:18.040 --> 0:25:21.280
<v Speaker 4>my older sister, Tiana's, Tiana's uh grand kids are in

0:25:21.320 --> 0:25:23.240
<v Speaker 4>the freezer. Mine are about to be in the freezer.

0:25:23.359 --> 0:25:25.919
<v Speaker 4>Just want to confirm. He's like, oh, when are they

0:25:25.960 --> 0:25:28.399
<v Speaker 4>coming out of the freezer? I'm like, this is what

0:25:28.440 --> 0:25:30.200
<v Speaker 4>happens when you talk to your mom. Your mom talks

0:25:30.240 --> 0:25:31.720
<v Speaker 4>to your dad, your dad talks to you. You don't

0:25:31.720 --> 0:25:34.800
<v Speaker 4>know what's going on. So but uh, it's it's real,

0:25:34.840 --> 0:25:37.600
<v Speaker 4>and it's a it's it's a real thing.

0:25:37.760 --> 0:25:38.080
<v Speaker 8>We have.

0:25:39.080 --> 0:25:41.920
<v Speaker 4>We have a very small group of people right now

0:25:42.040 --> 0:25:45.840
<v Speaker 4>who are focusing AI and their problems, and I do

0:25:45.880 --> 0:25:49.840
<v Speaker 4>not blame them. Entrepreneurship is problem solving without regard for resource,

0:25:50.400 --> 0:25:53.840
<v Speaker 4>like science is the study of life. Like these things

0:25:53.840 --> 0:25:58.160
<v Speaker 4>should not be scary big words. Uh. But when we

0:25:58.720 --> 0:26:00.880
<v Speaker 4>silo ourselves and I say we, it's just like if

0:26:00.880 --> 0:26:04.360
<v Speaker 4>you are anyone, if you're if you're not affluent, if

0:26:04.400 --> 0:26:06.320
<v Speaker 4>you are not a man, if you're not there's so

0:26:06.400 --> 0:26:09.800
<v Speaker 4>many things that actually most of us are not that

0:26:09.920 --> 0:26:12.480
<v Speaker 4>kind of that paradigm of the person who's doing this,

0:26:12.960 --> 0:26:16.639
<v Speaker 4>most of us. But when you kind of like push

0:26:16.680 --> 0:26:24.879
<v Speaker 4>something away, you are disenfranchising yourself in so many ways.

0:26:24.920 --> 0:26:28.280
<v Speaker 4>It goes beyond, it goes beyond anything we can imagine.

0:26:28.320 --> 0:26:32.399
<v Speaker 4>The thing that I'm most scared of is the number

0:26:32.440 --> 0:26:36.679
<v Speaker 4>of people who keep saying I'm afraid of what could

0:26:36.720 --> 0:26:40.240
<v Speaker 4>literally be the best thing they've ever put their hands

0:26:40.240 --> 0:26:41.399
<v Speaker 4>on in their entire lives.

0:26:43.400 --> 0:26:54.000
<v Speaker 1>All Right, with that, we are we are privileged to

0:26:54.040 --> 0:26:55.919
<v Speaker 1>have ten more minutes with them, to have some Q

0:26:56.080 --> 0:26:58.560
<v Speaker 1>and A. So I'm sure there's some questions in the art. Ooh,

0:26:58.600 --> 0:27:00.199
<v Speaker 1>we got one already. I'm gonna come to you. You

0:27:02.119 --> 0:27:04.240
<v Speaker 1>y'all give another round of applause for that man that

0:27:04.400 --> 0:27:09.440
<v Speaker 1>was fantastic. Please say your name.

0:27:10.560 --> 0:27:15.880
<v Speaker 4>Hi, my name is Sydney. Thank you. Oh, I got it?

0:27:16.080 --> 0:27:21.159
<v Speaker 8>No, okay, all right, all right, AnyWho I saw you

0:27:21.160 --> 0:27:23.600
<v Speaker 8>know I heard us talking about like fear. I personally

0:27:23.800 --> 0:27:26.840
<v Speaker 8>don't have fear if AI. Maybe I should, I don't know,

0:27:27.000 --> 0:27:29.280
<v Speaker 8>but that's not what you're saying. So I shouldn't be afraid.

0:27:29.280 --> 0:27:31.720
<v Speaker 8>But however, how do we harness that you were sharing

0:27:31.760 --> 0:27:34.600
<v Speaker 8>some ideas of there's some low or no code ways

0:27:34.640 --> 0:27:37.080
<v Speaker 8>of leveraging AI. Can you tell us more about like

0:27:37.080 --> 0:27:40.320
<v Speaker 8>how to like leverage it? And yes, no, of course

0:27:40.320 --> 0:27:42.840
<v Speaker 8>that's a really good question. I actually think I'm gonna

0:27:42.840 --> 0:27:46.040
<v Speaker 8>go ahead and maybe I can talk to the afrotech people.

0:27:46.119 --> 0:27:48.960
<v Speaker 8>I'm I'm gonna just list like on my like LinkedIn

0:27:49.160 --> 0:27:53.119
<v Speaker 8>just like seven seven platforms. Some require you to know

0:27:53.200 --> 0:27:55.560
<v Speaker 8>a little bit some of you, some of them don't.

0:27:55.600 --> 0:27:59.680
<v Speaker 8>Now there is the underlying issue of kind of who's

0:27:59.720 --> 0:28:02.639
<v Speaker 8>creata even that no code platform.

0:28:02.840 --> 0:28:05.159
<v Speaker 4>But at the end of the day, like you know,

0:28:05.240 --> 0:28:07.280
<v Speaker 4>nothing's ever going to be perfect, and we just want

0:28:07.280 --> 0:28:11.880
<v Speaker 4>people to get closer to something. And if your engagement,

0:28:12.359 --> 0:28:17.560
<v Speaker 4>even with these no code platforms can better educate the

0:28:19.040 --> 0:28:21.399
<v Speaker 4>sassy seven year olds that are running it, So now

0:28:21.440 --> 0:28:24.359
<v Speaker 4>all of a sudden they're not just kind of operating

0:28:24.400 --> 0:28:26.639
<v Speaker 4>with whatever the hell they're being told by the very

0:28:26.680 --> 0:28:29.280
<v Speaker 4>specific groups of people who are doing this. It's a

0:28:29.280 --> 0:28:32.080
<v Speaker 4>good thing, and so there are several I don't want

0:28:32.080 --> 0:28:34.280
<v Speaker 4>this necessarily to be an advertisement for any one or

0:28:34.280 --> 0:28:38.760
<v Speaker 4>the other. But on Monday, I'm gonna post If you

0:28:38.800 --> 0:28:42.240
<v Speaker 4>go to my LinkedIn, I'm just Jessica. Oh Matthews, you'll

0:28:42.240 --> 0:28:45.960
<v Speaker 4>see it. I will post five to six that I've

0:28:46.000 --> 0:28:48.160
<v Speaker 4>heard some good things about. Because again I want to

0:28:48.200 --> 0:28:52.360
<v Speaker 4>be very clear, I study psychology and economics. I like

0:28:52.400 --> 0:28:55.480
<v Speaker 4>to tell people I have a PhD in Google, which

0:28:55.520 --> 0:29:00.080
<v Speaker 4>pisses off people with real PhDs, I find, But the

0:29:00.120 --> 0:29:02.000
<v Speaker 4>main point is that you know, I also have a

0:29:02.040 --> 0:29:06.120
<v Speaker 4>granted patent for wireless Mesh Energy Networks, which is an

0:29:06.160 --> 0:29:14.520
<v Speaker 4>algorithm that essentially considers the communication protocols for decentralized micro

0:29:14.720 --> 0:29:19.520
<v Speaker 4>energy systems. And I did that with a degree in

0:29:19.560 --> 0:29:23.760
<v Speaker 4>psychology and economics and a PhD in Google. So what

0:29:23.880 --> 0:29:27.640
<v Speaker 4>I actually am really trying to say is that you

0:29:27.720 --> 0:29:32.520
<v Speaker 4>don't have to go to school for this. To do this,

0:29:33.520 --> 0:29:37.080
<v Speaker 4>you do have to have quite a ferocity for self learning,

0:29:38.040 --> 0:29:40.520
<v Speaker 4>and again I fate to say a bit of self

0:29:40.520 --> 0:29:46.400
<v Speaker 4>reliance in this, but with the right tools and with

0:29:46.480 --> 0:29:48.880
<v Speaker 4>that kind of interest in researching as much as you

0:29:48.920 --> 0:29:52.360
<v Speaker 4>can you'd be surprised what you can do, especially if

0:29:52.360 --> 0:29:57.360
<v Speaker 4>you're comfortable with the prototype being very much only a

0:29:57.400 --> 0:30:00.520
<v Speaker 4>couple percentage points of what you actually want. Talked about

0:30:00.520 --> 0:30:03.880
<v Speaker 4>the socket earlier. My first prototype for the socket was

0:30:04.240 --> 0:30:07.959
<v Speaker 4>a shake to charge flashlight and a hamster ball. So

0:30:09.160 --> 0:30:12.240
<v Speaker 4>I will post that on what's today Thursday. Got to

0:30:12.240 --> 0:30:14.000
<v Speaker 4>get back to New York. I'll post it on Monday.

0:30:14.320 --> 0:30:15.440
<v Speaker 4>I promise I will.

0:30:16.040 --> 0:30:19.240
<v Speaker 6>Perfect question over here and I'll come over there. Yeah,

0:30:19.280 --> 0:30:21.280
<v Speaker 6>my name is Evan Poncels. I'm with the Africa Down

0:30:21.280 --> 0:30:22.800
<v Speaker 6>community of Alanterst and I just want to let you

0:30:22.880 --> 0:30:25.920
<v Speaker 6>know that black people are here in Seattle and mostly

0:30:25.960 --> 0:30:28.320
<v Speaker 6>concentrated in the Central district of Seattle. So let's all

0:30:28.360 --> 0:30:31.440
<v Speaker 6>learn a little geography about this. So from the Central

0:30:31.720 --> 0:30:32.240
<v Speaker 6>District of.

0:30:32.200 --> 0:30:34.760
<v Speaker 2>Seattle, Ray Charles dropped his first studio album, so it's

0:30:34.800 --> 0:30:37.640
<v Speaker 2>not just Kirk Cobain. Also Jamie Hendrix is from there.

0:30:37.720 --> 0:30:40.440
<v Speaker 2>Shout out to my uncle high school termer at Garfield

0:30:40.520 --> 0:30:43.080
<v Speaker 2>High School of anybody from Garfield. And so what I

0:30:43.120 --> 0:30:45.200
<v Speaker 2>wanted to say was just that, you know, in addition

0:30:45.240 --> 0:30:49.240
<v Speaker 2>to radical self reliance, we also should be organizing around

0:30:49.440 --> 0:30:52.720
<v Speaker 2>data and around artificial intelligence. So one thing we're doing

0:30:52.760 --> 0:30:55.560
<v Speaker 2>with Africa Town is building programs so that you can

0:30:55.600 --> 0:30:58.320
<v Speaker 2>be exposed to these sorts of things. But I was wondering,

0:30:58.360 --> 0:31:01.600
<v Speaker 2>My question really is where can we get exposure to

0:31:01.600 --> 0:31:04.360
<v Speaker 2>the data sets that could help us solve with AI

0:31:04.880 --> 0:31:09.160
<v Speaker 2>things like infant mortality or pregnant mother mortality, mortality in

0:31:09.200 --> 0:31:12.720
<v Speaker 2>the birthing scenarios. So that because we work with universities

0:31:12.720 --> 0:31:15.720
<v Speaker 2>that are studying, you know, data and like things like

0:31:15.800 --> 0:31:18.800
<v Speaker 2>coming up with the language models for African American vernacular

0:31:18.840 --> 0:31:21.480
<v Speaker 2>English and things like this. And so right now we're

0:31:21.480 --> 0:31:24.280
<v Speaker 2>about to start a consortium where we're learning, well, what

0:31:24.320 --> 0:31:25.960
<v Speaker 2>goals should we have, what problems should we solve in,

0:31:26.000 --> 0:31:28.440
<v Speaker 2>what strategy should we we implement? And so I'm just

0:31:28.480 --> 0:31:30.920
<v Speaker 2>trying to see where's our best footing for that in

0:31:31.000 --> 0:31:32.200
<v Speaker 2>terms of organizing, Jenny, I.

0:31:32.200 --> 0:31:34.440
<v Speaker 4>Think I have. I can tell you where my company,

0:31:34.920 --> 0:31:39.240
<v Speaker 4>like when we really started looking at disadvantaged communities that

0:31:39.360 --> 0:31:42.240
<v Speaker 4>are black and Latino majority communities, and how do we

0:31:42.280 --> 0:31:45.560
<v Speaker 4>get the data to ensure that we're thinking through the

0:31:45.600 --> 0:31:48.000
<v Speaker 4>equitability of what's happening in this once in a generation

0:31:48.120 --> 0:31:51.600
<v Speaker 4>moment with our infrastructure, and how we started creating actual

0:31:52.920 --> 0:31:57.280
<v Speaker 4>actual AI that could support that, But I'd love to

0:31:57.320 --> 0:32:01.120
<v Speaker 4>know what you think. First. I can share our perspective,

0:32:01.160 --> 0:32:03.760
<v Speaker 4>but as someone who works with the government, you might

0:32:04.120 --> 0:32:05.080
<v Speaker 4>know a few more.

0:32:05.080 --> 0:32:11.360
<v Speaker 3>Peek so you know the government, you know that's a

0:32:11.400 --> 0:32:16.400
<v Speaker 3>beast by itself, right, we do have ways of putting

0:32:16.480 --> 0:32:19.600
<v Speaker 3>out actual where our data is stored, so I will

0:32:19.600 --> 0:32:21.880
<v Speaker 3>say that. Okay, So what my office does. I'm the

0:32:21.960 --> 0:32:25.240
<v Speaker 3>Artificial Intelligence and Technology Office, right, and what we do

0:32:25.440 --> 0:32:28.320
<v Speaker 3>is every year we do an AI use case inventory.

0:32:28.600 --> 0:32:31.040
<v Speaker 3>And actually we're sitting here, but that's what's going on

0:32:31.120 --> 0:32:33.840
<v Speaker 3>back at home is all the labs are putting together

0:32:34.120 --> 0:32:36.880
<v Speaker 3>in AI use case inventory will still turn into us

0:32:37.600 --> 0:32:41.000
<v Speaker 3>in mid April. Once that's turned into US, we will

0:32:41.040 --> 0:32:45.280
<v Speaker 3>put that inventory up on what's releasable to the public.

0:32:45.320 --> 0:32:48.000
<v Speaker 3>So let me say that because we're seventeen national laboratories,

0:32:48.000 --> 0:32:50.959
<v Speaker 3>so that way you know, everything's not releasable to the public.

0:32:51.200 --> 0:32:53.840
<v Speaker 3>But what is releasable to the public. We'll go up

0:32:53.880 --> 0:32:57.200
<v Speaker 3>on our website, right, it's Artificial Intelligence and Technology Office.

0:32:57.280 --> 0:33:00.760
<v Speaker 3>You will see the inventory there. If they are listing

0:33:00.800 --> 0:33:03.440
<v Speaker 3>the code, it will be there so you could actually

0:33:03.440 --> 0:33:06.000
<v Speaker 3>read what the name of the use case is you'll

0:33:06.040 --> 0:33:08.360
<v Speaker 3>be able to see a description of that use case

0:33:08.520 --> 0:33:10.800
<v Speaker 3>if it matches anything that you're trying to do or

0:33:10.840 --> 0:33:13.400
<v Speaker 3>looking to do, and it says where the code is.

0:33:13.840 --> 0:33:14.920
<v Speaker 3>That's where the code is at.

0:33:15.080 --> 0:33:15.320
<v Speaker 2>Right.

0:33:15.600 --> 0:33:19.480
<v Speaker 3>If it's blank and you want us to find out,

0:33:19.720 --> 0:33:23.040
<v Speaker 3>that's Jason Tally. You want us to find out if

0:33:23.040 --> 0:33:25.600
<v Speaker 3>that code is available, just send us an email. Our

0:33:25.640 --> 0:33:27.840
<v Speaker 3>email address is on the website. You send it to

0:33:27.920 --> 0:33:30.160
<v Speaker 3>us and we'll get it for you. If it's available,

0:33:30.200 --> 0:33:33.000
<v Speaker 3>we'll get it for you. So that's from the government perspective.

0:33:32.680 --> 0:33:36.960
<v Speaker 4>Which matters, right, because I think for us we're often

0:33:37.000 --> 0:33:40.320
<v Speaker 4>looking at our data sources one from actual governmental context.

0:33:40.400 --> 0:33:43.840
<v Speaker 4>Like a lot of times people don't realize that almost

0:33:43.880 --> 0:33:46.000
<v Speaker 4>everything is available to you. You just have to ask for it.

0:33:46.960 --> 0:33:48.800
<v Speaker 4>They're not going to make it clean and easy or

0:33:48.840 --> 0:33:51.360
<v Speaker 4>create an interface that makes it as simple as a

0:33:51.440 --> 0:33:54.680
<v Speaker 4>you know, downloading photos from you know, from your whatever

0:33:54.720 --> 0:33:58.080
<v Speaker 4>app you're using for that, but you can reach out.

0:33:58.360 --> 0:34:00.360
<v Speaker 4>The other thing that's been interesting for us over the

0:34:00.400 --> 0:34:03.840
<v Speaker 4>last two years that, to be honest, was a bit surprising,

0:34:04.560 --> 0:34:11.000
<v Speaker 4>was connecting and partnering with journalists. Journalists are surprisingly good

0:34:11.600 --> 0:34:16.800
<v Speaker 4>at getting real hard data in the aggregate. For example,

0:34:17.360 --> 0:34:20.800
<v Speaker 4>it was The New York Times that went and actually

0:34:20.840 --> 0:34:24.239
<v Speaker 4>published with incredible support when you actually go in and

0:34:24.239 --> 0:34:27.200
<v Speaker 4>look at what they published and what studies that they

0:34:27.200 --> 0:34:32.239
<v Speaker 4>were pulling from the infant mortality rates. And I think

0:34:32.280 --> 0:34:35.400
<v Speaker 4>some of you may have seen that article and so,

0:34:35.480 --> 0:34:39.040
<v Speaker 4>and that's happened before we actually struggled and looking at

0:34:39.040 --> 0:34:42.239
<v Speaker 4>a lot of the things related to justice forty and

0:34:42.320 --> 0:34:45.799
<v Speaker 4>disadvantaged communities and this idea of forty percent of the

0:34:46.600 --> 0:34:50.920
<v Speaker 4>infrastructure funds they're actually meant to go to disadvantaged communities

0:34:50.960 --> 0:34:54.120
<v Speaker 4>across the United States. But we struggled to understand how

0:34:54.160 --> 0:34:59.920
<v Speaker 4>many of those disadvantaged communities were majority minority, right, because

0:35:00.280 --> 0:35:02.319
<v Speaker 4>you can work some things out there, and that wasn't

0:35:02.360 --> 0:35:05.120
<v Speaker 4>actually available through any government sources. And so there was

0:35:05.160 --> 0:35:08.640
<v Speaker 4>actually a journalist that had been doing the work for

0:35:08.719 --> 0:35:13.960
<v Speaker 4>about five years that allowed us to actually see every city, township,

0:35:14.080 --> 0:35:19.040
<v Speaker 4>and village that was black majority Latino majority and black

0:35:19.120 --> 0:35:24.040
<v Speaker 4>Latino majority. And the data set was so massive and

0:35:24.120 --> 0:35:28.600
<v Speaker 4>again readily available. And so I think that because if

0:35:28.640 --> 0:35:32.920
<v Speaker 4>you find truly reputable news organizations that are pushing data

0:35:33.640 --> 0:35:38.760
<v Speaker 4>because they are often fearful of publishing a massive story

0:35:38.800 --> 0:35:42.360
<v Speaker 4>that isn't backed up. They've done their homework and you

0:35:42.400 --> 0:35:44.440
<v Speaker 4>can dig there and get their data sets, and when

0:35:44.480 --> 0:35:47.759
<v Speaker 4>you combine those with government data sets, you can do

0:35:47.840 --> 0:35:51.960
<v Speaker 4>some things that are very very cool. You know. Hi everyone,

0:35:52.080 --> 0:35:52.920
<v Speaker 4>my name is Asia.

0:35:53.360 --> 0:35:56.040
<v Speaker 5>First, I want to thank you for being so honest

0:35:56.080 --> 0:35:58.439
<v Speaker 5>and real and challenging all of us in this room

0:35:58.520 --> 0:36:01.440
<v Speaker 5>to do more with data. And I didn't have a question,

0:36:01.480 --> 0:36:03.400
<v Speaker 5>but I just wanted to tell you, like being a

0:36:03.400 --> 0:36:06.799
<v Speaker 5>black woman is seeing you dominate this space is just empowering.

0:36:07.719 --> 0:36:08.680
<v Speaker 4>Wow. Thank you.

0:36:10.200 --> 0:36:13.240
<v Speaker 1>Would be the last one, regular, last one.

0:36:14.239 --> 0:36:14.439
<v Speaker 4>Hi.

0:36:14.640 --> 0:36:18.000
<v Speaker 7>My name is Erica Adams Immagrad student at UDUB and

0:36:18.280 --> 0:36:20.759
<v Speaker 7>I am in the Information School and I sit on

0:36:20.880 --> 0:36:23.760
<v Speaker 7>faculty committee, and we've been talking a lot about student

0:36:23.880 --> 0:36:26.839
<v Speaker 7>use with ch hat GPT. We're already using it most

0:36:26.880 --> 0:36:31.520
<v Speaker 7>of us, but there's a lot of ambiguity around, I guess,

0:36:31.520 --> 0:36:34.440
<v Speaker 7>like cheating and stuff like that. So I'm just curious

0:36:34.560 --> 0:36:39.600
<v Speaker 7>if you have any advice on persuading older academics on

0:36:39.880 --> 0:36:42.480
<v Speaker 7>you know, like coming up with guidelines for use, because

0:36:42.520 --> 0:36:45.360
<v Speaker 7>I think it's a great tool for us to continue

0:36:45.400 --> 0:36:47.520
<v Speaker 7>to use and we shouldn't be using it with fear.

0:36:51.640 --> 0:36:53.000
<v Speaker 4>See I don't even know when you say older, do

0:36:53.040 --> 0:37:00.440
<v Speaker 4>you mean people like my age, because yeah, you're real

0:37:00.520 --> 0:37:01.840
<v Speaker 4>quick and all of a sudden, you like when you

0:37:01.880 --> 0:37:03.839
<v Speaker 4>go out and you're like, I'm not the youngest person

0:37:03.920 --> 0:37:11.400
<v Speaker 4>out here no more. Right, So, persuading that's that's a

0:37:11.560 --> 0:37:14.160
<v Speaker 4>that's a tricky one. That is a tricky one because

0:37:16.280 --> 0:37:21.080
<v Speaker 4>there has to be empathy for how long they've existed

0:37:21.120 --> 0:37:22.960
<v Speaker 4>and known certain things to be true that are now

0:37:23.040 --> 0:37:28.719
<v Speaker 4>becoming very much untrue. Uh, And I I think I

0:37:28.719 --> 0:37:31.400
<v Speaker 4>think starting from that place of empathy is one. So

0:37:32.400 --> 0:37:34.440
<v Speaker 4>I think there's a couple of ways to see this

0:37:34.520 --> 0:37:37.280
<v Speaker 4>if I'm going to be very just kind of direct

0:37:37.400 --> 0:37:40.680
<v Speaker 4>about it. One is, you know, I don't know what

0:37:40.719 --> 0:37:44.800
<v Speaker 4>guidelines are in place right now. But obviously if everyone

0:37:45.040 --> 0:37:47.880
<v Speaker 4>goes to chat GPT and says, write me a paper

0:37:47.920 --> 0:37:53.240
<v Speaker 4>on the World War, and everyone submits a similar paper,

0:37:53.719 --> 0:37:56.319
<v Speaker 4>the teacher will say, oh, clearly there's some sort of plagiarism,

0:37:56.520 --> 0:37:59.160
<v Speaker 4>right because like whether you did this through something that

0:37:59.200 --> 0:38:02.719
<v Speaker 4>you google or you use chat GPT, they can tell

0:38:03.840 --> 0:38:06.399
<v Speaker 4>if you go to the effort of engaging with that

0:38:06.520 --> 0:38:11.840
<v Speaker 4>chat GPT interface such that what you produce, your professor

0:38:11.880 --> 0:38:18.120
<v Speaker 4>cannot tell. At this point I don't really know what

0:38:18.160 --> 0:38:19.360
<v Speaker 4>else to tell me. You No, I mean, I'm not

0:38:19.440 --> 0:38:21.279
<v Speaker 4>even I'm not. And it's not about saying is this

0:38:21.360 --> 0:38:23.600
<v Speaker 4>cheating or is this not cheating? This is about being

0:38:23.760 --> 0:38:27.440
<v Speaker 4>realistic about the world that we're in. Like if everyone,

0:38:27.600 --> 0:38:30.040
<v Speaker 4>if you are lazy with this tool, you will be

0:38:30.080 --> 0:38:34.960
<v Speaker 4>found out to be lazy. If you are innovative and

0:38:35.360 --> 0:38:39.880
<v Speaker 4>proactive with this tool, you will still rise above. I

0:38:39.960 --> 0:38:42.560
<v Speaker 4>truly believe that there's always still a way to rise

0:38:42.560 --> 0:38:46.440
<v Speaker 4>above and still write the best paper with chat GPT

0:38:46.840 --> 0:38:50.719
<v Speaker 4>compared to everyone else. And to be honest, if if

0:38:51.200 --> 0:38:53.520
<v Speaker 4>college is meant to prepare you for the real world,

0:38:54.600 --> 0:39:00.080
<v Speaker 4>acting like these tools don't exist when they do. And

0:38:59.840 --> 0:39:01.880
<v Speaker 4>I get it that people, Oh, we want to make

0:39:01.920 --> 0:39:03.120
<v Speaker 4>sure you can write a paper. We want to make

0:39:03.120 --> 0:39:05.759
<v Speaker 4>sure you can do all those things. Yes, yes, guess what.

0:39:05.840 --> 0:39:09.600
<v Speaker 4>I also still don't know how to drive stick because

0:39:09.640 --> 0:39:13.120
<v Speaker 4>I didn't have to. So you know, we can lament

0:39:13.400 --> 0:39:16.120
<v Speaker 4>about this world of like, oh, we hope people wish

0:39:16.160 --> 0:39:17.719
<v Speaker 4>they should. We want to make sure you still have

0:39:17.760 --> 0:39:21.040
<v Speaker 4>all these different things. Those who care about those skills

0:39:21.120 --> 0:39:24.040
<v Speaker 4>will get them. I believe my husband said he could

0:39:24.080 --> 0:39:26.080
<v Speaker 4>drive stick, but then recently actually I was like, were

0:39:26.080 --> 0:39:29.319
<v Speaker 4>you were you lying? Because this is not I don't

0:39:29.320 --> 0:39:32.840
<v Speaker 4>think he's spot to make those noises. You know, he's

0:39:32.840 --> 0:39:35.520
<v Speaker 4>from Mississippi, so he's a you know, so he was

0:39:35.520 --> 0:39:37.480
<v Speaker 4>telling me a whole of the storm Mississippi and Texas.

0:39:38.040 --> 0:39:41.000
<v Speaker 4>So who knows, but to that end, right, like I think,

0:39:41.719 --> 0:39:43.560
<v Speaker 4>but he clearly felt that it was important that he

0:39:43.719 --> 0:39:46.040
<v Speaker 4>said that he could drive stick. I was like, boy,

0:39:46.080 --> 0:39:48.279
<v Speaker 4>I could barely do automatic at the time, honestly, like

0:39:48.320 --> 0:39:52.919
<v Speaker 4>I cannot wait for driverless cars. So it's it's it's

0:39:52.920 --> 0:39:54.440
<v Speaker 4>one of those things where I would say, so, I

0:39:54.480 --> 0:39:58.800
<v Speaker 4>don't think it's about persuasion. I think it's about recognizing

0:39:59.040 --> 0:40:04.719
<v Speaker 4>that the entire all the standards will shift that you

0:40:04.800 --> 0:40:07.719
<v Speaker 4>cannot restaur on your laurels here, like everyone keeps saying,

0:40:07.719 --> 0:40:10.000
<v Speaker 4>I use chatchypet to create a marketing plan to do

0:40:10.040 --> 0:40:14.759
<v Speaker 4>this and do that. We will see certain similarities that

0:40:14.800 --> 0:40:17.799
<v Speaker 4>will negate that work if you do not still put

0:40:17.840 --> 0:40:20.840
<v Speaker 4>your human intellect on top of it. We're not there again,

0:40:21.120 --> 0:40:24.960
<v Speaker 4>sassy seven year old y'all, we're not there, and don't

0:40:25.000 --> 0:40:29.200
<v Speaker 4>let anyone make you think that that we are. But yeah,

0:40:29.200 --> 0:40:31.680
<v Speaker 4>so it really it sounds to me that like, if

0:40:31.719 --> 0:40:34.839
<v Speaker 4>your professors are like super not into it, you might

0:40:34.840 --> 0:40:37.239
<v Speaker 4>be able to save yourself some time and just do

0:40:37.360 --> 0:40:40.000
<v Speaker 4>what you gotta do and be like with the chatchypt No,

0:40:41.360 --> 0:40:42.400
<v Speaker 4>I would never.

0:40:53.800 --> 0:40:56.520
<v Speaker 1>Black dec Green Money is a production of Blavity, Afrotech,

0:40:57.040 --> 0:41:00.560
<v Speaker 1>Black Effect Podcast Network, and iHeart Media, and it's produced

0:41:00.560 --> 0:41:04.320
<v Speaker 1>by Morgan Debonne and me Well Lucas, with additional production

0:41:04.400 --> 0:41:08.279
<v Speaker 1>support by Sarah Ergin and Rose McLucas. Special thank you

0:41:08.280 --> 0:41:11.200
<v Speaker 1>to Michael Davis of Vanessa Serrano. Learn more about my

0:41:11.200 --> 0:41:14.400
<v Speaker 1>guests the other tech This represent innovators at afrotech dot com.

0:41:14.960 --> 0:41:18.480
<v Speaker 1>Enjoy your Black Tech Green Money. Share this with somebody,

0:41:19.080 --> 0:41:21.600
<v Speaker 1>Go get your money. Peace and love,