1 00:00:02,520 --> 00:00:06,840 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. 2 00:00:07,360 --> 00:00:11,800 Speaker 2: This is Bloomberg BusinessWeek with Carol Messer and Tim Stenebek 3 00:00:12,320 --> 00:00:13,520 Speaker 2: on Bloomberg Radio. 4 00:00:13,800 --> 00:00:16,640 Speaker 1: Want to get to our next story? This was interesting, 5 00:00:16,720 --> 00:00:19,400 Speaker 1: you know, we have written about this at Bloomberg. When 6 00:00:19,400 --> 00:00:23,239 Speaker 1: Adobe released its Firefly image generating software last year, the 7 00:00:23,280 --> 00:00:26,800 Speaker 1: company said that AI model was trained mainly on Adobe Stock, 8 00:00:26,880 --> 00:00:30,520 Speaker 1: its database of hundreds of millions of licensed images. Firefly, 9 00:00:30,640 --> 00:00:34,720 Speaker 1: Adobe said, was a commercially safe alternative to competitors such 10 00:00:34,760 --> 00:00:38,280 Speaker 1: as mad Journey, which learned by scraping pictures from across 11 00:00:38,280 --> 00:00:38,960 Speaker 1: the Internet. 12 00:00:39,040 --> 00:00:41,440 Speaker 3: Behind the scenes, Adobe also was relying in part on 13 00:00:41,479 --> 00:00:45,480 Speaker 3: AI generated content to train Firefly, including from those same 14 00:00:45,520 --> 00:00:48,919 Speaker 3: AI rivals. In numerous presentations and public posts about how 15 00:00:48,960 --> 00:00:52,040 Speaker 3: Firefly is safer than the competition due to its training data, 16 00:00:52,120 --> 00:00:55,280 Speaker 3: Adobe never made clear that its model actually used images 17 00:00:55,640 --> 00:00:58,760 Speaker 3: from some of these same competitors. This latest reporting from 18 00:00:58,760 --> 00:01:01,160 Speaker 3: our own Rachel Metz and Brodie for just last week 19 00:01:01,200 --> 00:01:04,480 Speaker 3: about how Adobe promotes its tool as say, from content 20 00:01:04,600 --> 00:01:07,760 Speaker 3: scraped from the Internet. We've got with us Ashley Still, 21 00:01:07,880 --> 00:01:11,160 Speaker 3: Senior vice president and general manager of Creative Business at Adobe. 22 00:01:11,240 --> 00:01:14,160 Speaker 3: She's back with us, she joins us from Menlo Park, California. 23 00:01:14,280 --> 00:01:15,720 Speaker 4: Ashley, good to have you with us. How are you. 24 00:01:17,040 --> 00:01:18,840 Speaker 5: I'm doing great. Thank you for having me. 25 00:01:18,920 --> 00:01:20,880 Speaker 3: Yeah, thanks so much for coming back with us. I 26 00:01:20,880 --> 00:01:23,280 Speaker 3: do want to start here. Given our colleagues recent reporting, 27 00:01:23,800 --> 00:01:26,720 Speaker 3: we should know Adobe did say that a relatively small amount, 28 00:01:26,760 --> 00:01:29,399 Speaker 3: about five percent of the images used to train its 29 00:01:29,400 --> 00:01:32,959 Speaker 3: AI tool was generated by other AI platforms. Can you 30 00:01:33,000 --> 00:01:36,000 Speaker 3: add anything here given what you work on at the company. 31 00:01:37,080 --> 00:01:41,039 Speaker 5: Yeah, absolutely, so, you know, we continue to you know, 32 00:01:41,120 --> 00:01:46,000 Speaker 5: we stand by and have stood by Firefly as commercially 33 00:01:46,040 --> 00:01:50,480 Speaker 5: safe as you mentioned since we launched. And what this 34 00:01:50,640 --> 00:01:55,440 Speaker 5: means is we are incredibly confident and have you know, 35 00:01:55,800 --> 00:01:59,680 Speaker 5: some very significant measures in place to make sure that 36 00:01:59,720 --> 00:02:06,120 Speaker 5: the content generated by Firefly doesn't infringe on copyright, I 37 00:02:06,280 --> 00:02:11,760 Speaker 5: P trademarks, you know, you name it, and and you know, 38 00:02:11,960 --> 00:02:15,640 Speaker 5: as as as an example of how we stand by that, 39 00:02:15,680 --> 00:02:20,320 Speaker 5: we actually offer indemnification for the content that is that 40 00:02:20,440 --> 00:02:23,120 Speaker 5: is generated by Firefly to businesses. 41 00:02:24,200 --> 00:02:25,919 Speaker 4: So in terms of ghead, Tim Well, I was just 42 00:02:25,960 --> 00:02:28,280 Speaker 4: going to say, so, if why wasn't the company or 43 00:02:28,280 --> 00:02:31,160 Speaker 4: hasn't the company been clear about the fact, at least 44 00:02:31,160 --> 00:02:33,640 Speaker 4: from the beginning that Firefly was trained on some generative 45 00:02:33,680 --> 00:02:36,440 Speaker 4: AI from the same same kind of companies that Adobe 46 00:02:36,440 --> 00:02:38,840 Speaker 4: has publicly tried to distance itself from. 47 00:02:40,440 --> 00:02:44,400 Speaker 5: Yeah, you know, I I think we uh it. We 48 00:02:44,440 --> 00:02:48,919 Speaker 5: have always been clear that there is some AI generated 49 00:02:48,960 --> 00:02:54,040 Speaker 5: content that's used in training and uh and you know, 50 00:02:54,160 --> 00:02:58,360 Speaker 5: in fact, I think as as editing that that is 51 00:02:58,400 --> 00:03:02,040 Speaker 5: AI system becomes more, it's going to be harder and 52 00:03:02,080 --> 00:03:06,440 Speaker 5: harder to say that there's any image doesn't have some 53 00:03:06,840 --> 00:03:10,839 Speaker 5: AI generated aspects of that image, right. And I think 54 00:03:10,840 --> 00:03:13,560 Speaker 5: in the past, I've we've talked about some of the 55 00:03:13,600 --> 00:03:17,079 Speaker 5: capabilities that we've released in Photoshop, So we've always been 56 00:03:17,120 --> 00:03:21,679 Speaker 5: clear about that. You know, we actually don't necessarily have 57 00:03:21,760 --> 00:03:26,120 Speaker 5: a lot of information about the source of the AI 58 00:03:26,240 --> 00:03:29,560 Speaker 5: that's generated, and that's why we focus so much on 59 00:03:31,000 --> 00:03:35,880 Speaker 5: making sure that again the content, that anything that's submitted 60 00:03:35,880 --> 00:03:41,480 Speaker 5: to Adobe stock doesn't have any owned aspects of that 61 00:03:42,280 --> 00:03:47,200 Speaker 5: of anything in that image, right Again, no copyright, trademark, 62 00:03:48,680 --> 00:03:53,760 Speaker 5: identifiable characteristics as part of that image. So we've been 63 00:03:53,800 --> 00:03:57,520 Speaker 5: pretty consistent about that. I think what's happened recently is 64 00:03:57,960 --> 00:04:02,840 Speaker 5: some very specific questions about, well, could there be images 65 00:04:03,040 --> 00:04:07,280 Speaker 5: generated from specific sources, And of course there could be 66 00:04:07,840 --> 00:04:09,360 Speaker 5: there could be I am curious. 67 00:04:09,400 --> 00:04:11,119 Speaker 1: Are we are curious? You know, if you've got any 68 00:04:11,160 --> 00:04:14,240 Speaker 1: calls from customers maybe about the possible confusion here about 69 00:04:14,520 --> 00:04:17,200 Speaker 1: you know, are we really one hundred percent commercially safe 70 00:04:17,279 --> 00:04:20,919 Speaker 1: or is it more like ninety five percent commercially safe. 71 00:04:21,080 --> 00:04:24,520 Speaker 5: Yeah, what our customers want to know is are we 72 00:04:24,760 --> 00:04:25,800 Speaker 5: indemnifying them? 73 00:04:26,240 --> 00:04:26,480 Speaker 6: Right? 74 00:04:26,560 --> 00:04:31,520 Speaker 5: And the answer is one hundred percent yes. Right, nothing's changed, 75 00:04:31,600 --> 00:04:38,320 Speaker 5: and nothing's changed about our confidence in that Firefly will 76 00:04:38,320 --> 00:04:46,520 Speaker 5: not produce content that infringes on other people's owned marks, content, 77 00:04:46,640 --> 00:04:49,720 Speaker 5: et cetera. Right, And we do that again by being 78 00:04:49,800 --> 00:04:52,440 Speaker 5: really careful about the content that we train on. As 79 00:04:52,440 --> 00:04:56,119 Speaker 5: I mentioned, everything goes to regardless of the source, whether 80 00:04:56,160 --> 00:05:01,440 Speaker 5: it's generated by a camera or sketch with a human hand. 81 00:05:01,440 --> 00:05:01,760 Speaker 6: Or. 82 00:05:03,200 --> 00:05:08,200 Speaker 5: Assisted or created through artificial intelligence. Every piece of content 83 00:05:08,279 --> 00:05:12,400 Speaker 5: goes through a moderation process through our Adobe stock marketplace 84 00:05:12,480 --> 00:05:16,560 Speaker 5: before it ever is used to train anything. And so 85 00:05:16,600 --> 00:05:19,679 Speaker 5: we really do that regardless of the source of the content, 86 00:05:19,800 --> 00:05:22,360 Speaker 5: and that's a huge part of it. The other aspect 87 00:05:22,480 --> 00:05:25,000 Speaker 5: is the types of things and prompts that we actually 88 00:05:25,080 --> 00:05:29,159 Speaker 5: allow you to create. And so again nothing's changed in 89 00:05:29,240 --> 00:05:33,159 Speaker 5: terms of the process and the technology that we have 90 00:05:33,200 --> 00:05:36,479 Speaker 5: in place to give us this confidence around commercial safety. 91 00:05:36,560 --> 00:05:40,040 Speaker 1: I do wonder too, does it give you at Ashley 92 00:05:41,600 --> 00:05:46,120 Speaker 1: by really training mainly on Adobe stock, which I can 93 00:05:46,200 --> 00:05:50,120 Speaker 1: imagine is massive and growing every day or every second. 94 00:05:50,600 --> 00:05:56,279 Speaker 1: Having said that, right, we know that generative AI is 95 00:05:56,320 --> 00:06:00,880 Speaker 1: going to be made better by more more information that 96 00:06:00,920 --> 00:06:03,200 Speaker 1: has put into it, more and more data. So do 97 00:06:03,240 --> 00:06:07,279 Speaker 1: you limit kind of set to some in some regard 98 00:06:07,760 --> 00:06:12,680 Speaker 1: the upside of the potential of all of this by 99 00:06:12,880 --> 00:06:15,920 Speaker 1: keeping it I understand, by keeping it commercially safe very 100 00:06:15,920 --> 00:06:18,719 Speaker 1: important for clients, But is there some limitations as a 101 00:06:18,720 --> 00:06:22,120 Speaker 1: result of that in terms of I don't know creativity 102 00:06:22,880 --> 00:06:26,520 Speaker 1: or ability because that's opening it to everything. 103 00:06:27,440 --> 00:06:32,120 Speaker 5: Well, that's a great question and actually very relevant to 104 00:06:32,760 --> 00:06:35,560 Speaker 5: another piece of news that we announced today. So we 105 00:06:35,560 --> 00:06:40,880 Speaker 5: actually announced two things today. First, we are showcasing video 106 00:06:41,000 --> 00:06:44,000 Speaker 5: AI workflows that will be bringing into Premiere Pro later 107 00:06:44,080 --> 00:06:47,120 Speaker 5: this year, which is incredibly exciting. And then we also 108 00:06:49,480 --> 00:06:54,760 Speaker 5: kind of snuck or showed some early explorations around things 109 00:06:54,760 --> 00:06:59,240 Speaker 5: that we're exploring with third parties around bringing third party 110 00:06:59,320 --> 00:07:03,000 Speaker 5: models into our applications, and in this case it is 111 00:07:03,480 --> 00:07:07,240 Speaker 5: specifically partners in the video space or potential partners with 112 00:07:07,360 --> 00:07:11,600 Speaker 5: in the video space with Open Ai, Sora with Runway, 113 00:07:11,880 --> 00:07:16,840 Speaker 5: and in a smaller company called Peka. And to your point, 114 00:07:17,200 --> 00:07:20,440 Speaker 5: models are going to be good at different things, right, 115 00:07:20,640 --> 00:07:24,760 Speaker 5: and whether it's the training approach or whether it is 116 00:07:25,720 --> 00:07:29,400 Speaker 5: you know, just the decisions made about what the model 117 00:07:29,480 --> 00:07:32,440 Speaker 5: is for and the use case that it's solving. In 118 00:07:32,480 --> 00:07:35,160 Speaker 5: the case of Firefly, one of the things that we've 119 00:07:35,200 --> 00:07:40,720 Speaker 5: really prioritized is creative control and controllability because we deeply 120 00:07:40,720 --> 00:07:44,520 Speaker 5: integrate Firefly into our creative applications like Photoshop, and in 121 00:07:44,560 --> 00:07:49,000 Speaker 5: the case of video, certainly Premiere Pro because our customers 122 00:07:49,120 --> 00:07:52,560 Speaker 5: want to edit content with AI. They want to take 123 00:07:53,200 --> 00:07:59,320 Speaker 5: their original images, you know, in video and produce the 124 00:07:59,360 --> 00:08:02,840 Speaker 5: content that there that they want to produce faster and 125 00:08:02,920 --> 00:08:07,760 Speaker 5: with more creative expression than ever before. But in some 126 00:08:07,840 --> 00:08:11,280 Speaker 5: cases there might be use cases that models are good 127 00:08:11,560 --> 00:08:12,680 Speaker 5: are great at. 128 00:08:12,920 --> 00:08:14,000 Speaker 2: Actually that isn't a. 129 00:08:13,920 --> 00:08:14,600 Speaker 5: Focose for us. 130 00:08:14,640 --> 00:08:15,960 Speaker 3: I want to jump in because we only have thirty 131 00:08:15,960 --> 00:08:18,480 Speaker 3: seconds left and I'm so curious about this. How do 132 00:08:18,520 --> 00:08:23,840 Speaker 3: you prevent deep fakes and stuff from this generative AI video? 133 00:08:25,720 --> 00:08:27,760 Speaker 5: Sure, so that is going to be a huge area 134 00:08:27,760 --> 00:08:32,200 Speaker 5: focused and content credentials is absolutely critical. You can think 135 00:08:32,240 --> 00:08:35,360 Speaker 5: of that as a nutrition label for content. There's an 136 00:08:35,400 --> 00:08:39,400 Speaker 5: open standard that Adobe started with many partners. I think 137 00:08:39,400 --> 00:08:44,000 Speaker 5: there's over two thousand companies that are now part of 138 00:08:44,040 --> 00:08:49,800 Speaker 5: this part of this open standard, and we think that 139 00:08:49,920 --> 00:08:53,439 Speaker 5: it's incredibly important for any editing tool or generative tool 140 00:08:54,040 --> 00:08:56,640 Speaker 5: to just be to put metadata in the content and 141 00:08:56,720 --> 00:09:01,600 Speaker 5: then enable consumers to quickly and easily see how the 142 00:09:01,679 --> 00:09:04,680 Speaker 5: content that they're consuming every day was created. 143 00:09:04,960 --> 00:09:06,760 Speaker 1: Always great to check in with you and find out 144 00:09:06,760 --> 00:09:08,880 Speaker 1: what you guys are up to with all of this. 145 00:09:08,960 --> 00:09:10,600 Speaker 1: Ashley still over at Adobe. 146 00:09:10,840 --> 00:09:13,280 Speaker 3: We always like to remind everyone that our next guest 147 00:09:13,320 --> 00:09:15,880 Speaker 3: is the inventor of the segue. You know it, of course, 148 00:09:15,920 --> 00:09:19,160 Speaker 3: the human transporter that balances itself. And he also holds 149 00:09:19,160 --> 00:09:21,840 Speaker 3: Carol a variety of past variety, variety. 150 00:09:21,880 --> 00:09:23,439 Speaker 1: We've all lost count so many. 151 00:09:24,640 --> 00:09:28,480 Speaker 3: I don't want to say what millions, but there's a lot. 152 00:09:28,559 --> 00:09:28,880 Speaker 1: Yeah. 153 00:09:29,040 --> 00:09:32,960 Speaker 3: His focus now expanding the reach of First Robotics competitions 154 00:09:33,000 --> 00:09:34,400 Speaker 3: and the minds of young people. 155 00:09:34,440 --> 00:09:34,640 Speaker 6: Yeah. 156 00:09:34,640 --> 00:09:36,280 Speaker 1: I've been lucky to go to one of the events, 157 00:09:36,320 --> 00:09:39,680 Speaker 1: the competitions many years ago in Saint Louis. It's so cool. 158 00:09:39,720 --> 00:09:42,400 Speaker 1: Dean came In is the founder of First Witch stands 159 00:09:42,440 --> 00:09:45,880 Speaker 1: for for inspiration and recognition of science and technology. He 160 00:09:45,960 --> 00:09:48,840 Speaker 1: joins us from Manchester, New Hampshire. Dean, so great to 161 00:09:48,880 --> 00:09:51,160 Speaker 1: have you back with us. Actually, Wes, we were preparing 162 00:09:51,200 --> 00:09:54,160 Speaker 1: for this segment. One of our producers are you to 163 00:09:54,440 --> 00:09:59,040 Speaker 1: producer Elizabeth Sedron. She actually was competing in the first 164 00:09:59,120 --> 00:10:02,280 Speaker 1: robotics competition in St. Louis, which I was covering for 165 00:10:02,320 --> 00:10:03,480 Speaker 1: Bloomberg TV at the time. 166 00:10:03,559 --> 00:10:04,480 Speaker 3: Back at World's Crossing. 167 00:10:04,559 --> 00:10:06,760 Speaker 1: You didn't even know it, but she talked about what 168 00:10:06,800 --> 00:10:09,360 Speaker 1: a great experience it was to be part of it. 169 00:10:09,480 --> 00:10:11,640 Speaker 1: So great to have you back with us, And yeah, 170 00:10:11,640 --> 00:10:13,880 Speaker 1: it feels like all of our worlds are colliding right here. 171 00:10:14,760 --> 00:10:17,920 Speaker 1: How are you and tell us about the latest round 172 00:10:18,000 --> 00:10:19,360 Speaker 1: of first and what you guys are up to. 173 00:10:20,559 --> 00:10:22,840 Speaker 6: So things are great here. In my day job, I 174 00:10:22,840 --> 00:10:26,040 Speaker 6: have about one thousand engineers. We're working out all sorts 175 00:10:26,040 --> 00:10:29,679 Speaker 6: of NEAT projects. We just got the FDA approval on 176 00:10:29,840 --> 00:10:34,760 Speaker 6: of really small, wearable high performance insulin pump. 177 00:10:34,480 --> 00:10:35,720 Speaker 2: For people with diabetes. 178 00:10:36,360 --> 00:10:39,360 Speaker 6: We are working on all sorts of other projects at Army, 179 00:10:39,400 --> 00:10:43,160 Speaker 6: our Advanced Regenerate Manufacturing Institute which has now got two 180 00:10:43,240 --> 00:10:47,680 Speaker 6: hundred members, and we're manufacturing cells tissues in oregons, hopefully 181 00:10:47,760 --> 00:10:51,360 Speaker 6: some of which will be through the FDA relatively soon. 182 00:10:51,440 --> 00:10:56,600 Speaker 6: In FDA provinces, we're doing all sorts of neat stuff, 183 00:10:56,640 --> 00:10:59,600 Speaker 6: but every one of our projects and every member of 184 00:10:59,760 --> 00:11:03,880 Speaker 6: ARM is suffering from the same issue talent, talent and talent. 185 00:11:04,520 --> 00:11:08,520 Speaker 6: And the good news is it's now become common knowledge 186 00:11:08,559 --> 00:11:13,600 Speaker 6: to our government leaders, our industry leaders, our education leaders 187 00:11:13,640 --> 00:11:16,840 Speaker 6: that the most critical shortage of this country has is 188 00:11:17,040 --> 00:11:22,880 Speaker 6: really passionate, talented stem folks. And as you know, thirty 189 00:11:22,920 --> 00:11:25,600 Speaker 6: five years ago and I started first, I was telling 190 00:11:25,640 --> 00:11:29,120 Speaker 6: people that until we can make science, technology, engineering and 191 00:11:29,120 --> 00:11:33,520 Speaker 6: mathematics as exciting to kids, as accessible to kids, as 192 00:11:33,559 --> 00:11:37,560 Speaker 6: rewarding to kids as football and basketball and the world 193 00:11:37,600 --> 00:11:43,240 Speaker 6: of entertainment, this country will continue to celebrate those things, 194 00:11:43,280 --> 00:11:46,400 Speaker 6: sports and entertainment and create the world's best people in 195 00:11:46,440 --> 00:11:47,480 Speaker 6: sports and entertainment. 196 00:11:47,640 --> 00:11:49,959 Speaker 2: But that's not going to keep this country going. 197 00:11:50,280 --> 00:11:54,160 Speaker 6: We need to get kids, particularly women and minorities that 198 00:11:54,280 --> 00:11:59,560 Speaker 6: culturally have been literally pushed away from thinking about careers 199 00:11:59,559 --> 00:12:02,840 Speaker 6: and science and technology. So as you know that the 200 00:12:03,000 --> 00:12:06,120 Speaker 6: power to me of sports to engage kids and get 201 00:12:06,160 --> 00:12:08,240 Speaker 6: them passionate seemed to be all we got to do 202 00:12:09,120 --> 00:12:14,840 Speaker 6: create create a science engineering competition that could compete for. 203 00:12:14,880 --> 00:12:17,199 Speaker 2: The hearts and minds of these kids. And we went 204 00:12:17,240 --> 00:12:19,520 Speaker 2: from twenty three teams thirty five years ago. 205 00:12:19,720 --> 00:12:23,040 Speaker 6: This year we have over eighty thousand schools worldwide. 206 00:12:23,080 --> 00:12:25,720 Speaker 2: We have one hundred countries involved. 207 00:12:26,160 --> 00:12:30,079 Speaker 6: The championship, which starts on Wednesday and goes to Saturday, 208 00:12:30,120 --> 00:12:32,880 Speaker 6: will this year be in Houston, no longer in Saint Louis, 209 00:12:33,200 --> 00:12:37,800 Speaker 6: but we'll have over fifty thousand people from representing all 210 00:12:37,840 --> 00:12:40,520 Speaker 6: the teams from around the country and around the world 211 00:12:40,720 --> 00:12:43,400 Speaker 6: competing there. Over a thousand teams will be there. 212 00:12:43,760 --> 00:12:46,479 Speaker 2: You should be there. It's going to be fantastic. 213 00:12:46,600 --> 00:12:48,880 Speaker 1: And here we are showing for those who are watching 214 00:12:49,360 --> 00:12:53,080 Speaker 1: on YouTube and Blueberg Originals some of the past competitions, 215 00:12:53,120 --> 00:12:55,400 Speaker 1: and if you are not familiar and you have kids, 216 00:12:55,440 --> 00:12:57,839 Speaker 1: you should just google it and check it out because 217 00:12:57,840 --> 00:13:00,679 Speaker 1: it really is about kids building and making things, competing 218 00:13:00,880 --> 00:13:01,679 Speaker 1: and love it. 219 00:13:01,679 --> 00:13:05,080 Speaker 3: It's really really cool. Dean, I'm wondering, obviously First has 220 00:13:05,120 --> 00:13:07,679 Speaker 3: grown so much in the last thirty five years, but 221 00:13:08,120 --> 00:13:13,600 Speaker 3: I'm wondering if how this is viewed by local governments, 222 00:13:13,640 --> 00:13:16,319 Speaker 3: how it's viewed by school boards, how STEM is viewed 223 00:13:16,679 --> 00:13:19,520 Speaker 3: in the classroom as part of a child's education here 224 00:13:19,559 --> 00:13:22,280 Speaker 3: in the US. I'm wondering if that's gotten any better 225 00:13:22,360 --> 00:13:23,840 Speaker 3: over the last thirty five years. 226 00:13:23,920 --> 00:13:24,920 Speaker 2: Well, i'd like to. 227 00:13:25,080 --> 00:13:27,960 Speaker 6: I'd say First is taking credit for making it a 228 00:13:28,000 --> 00:13:32,600 Speaker 6: lot better. Our Governor Chris Sinunu announced earlier this year 229 00:13:32,880 --> 00:13:35,520 Speaker 6: that we're going to put a first kit and a 230 00:13:35,559 --> 00:13:39,280 Speaker 6: first robotics program not in every school in the state, 231 00:13:39,360 --> 00:13:42,280 Speaker 6: but in every classroom in the state because our newer 232 00:13:42,280 --> 00:13:44,720 Speaker 6: little robotics kids don't cost a whole lot more than 233 00:13:44,720 --> 00:13:45,760 Speaker 6: a single textbook. 234 00:13:45,840 --> 00:13:46,320 Speaker 3: That's cool. 235 00:13:46,400 --> 00:13:49,560 Speaker 6: And by the way, last Thursday evening, we had a 236 00:13:49,640 --> 00:13:53,760 Speaker 6: huge event in Washington, DC, and our Secretary of Commerce, 237 00:13:54,160 --> 00:13:58,480 Speaker 6: Gina Romando, was there pointing out that it is so 238 00:13:58,640 --> 00:14:03,440 Speaker 6: critical to get STEM up in the hearts and minds 239 00:14:03,440 --> 00:14:04,600 Speaker 6: of kids around the country. 240 00:14:04,600 --> 00:14:08,079 Speaker 2: And as you know, the Chip act is going to. 241 00:14:08,000 --> 00:14:11,320 Speaker 6: Put out more than fifty billion dollars, but it's not 242 00:14:11,440 --> 00:14:13,400 Speaker 6: going to help, as she pointed out, unless we have 243 00:14:13,720 --> 00:14:17,200 Speaker 6: the people with the skill sets to fill these factories 244 00:14:17,240 --> 00:14:19,840 Speaker 6: to make these chips, to write the code. 245 00:14:19,520 --> 00:14:21,560 Speaker 2: To do the AI, to use the AI. 246 00:14:21,760 --> 00:14:24,800 Speaker 6: So the answer to your question is, I think STEM 247 00:14:25,000 --> 00:14:27,520 Speaker 6: is finally and I'd like to think first has something 248 00:14:27,560 --> 00:14:31,280 Speaker 6: to do with it really becoming front and center to 249 00:14:31,400 --> 00:14:34,200 Speaker 6: serious people that are looking to the long term future 250 00:14:34,240 --> 00:14:36,880 Speaker 6: of this country's needs. And we've got to get back 251 00:14:36,920 --> 00:14:41,760 Speaker 6: to getting all kids from all backgrounds more excited about STEM. 252 00:14:41,960 --> 00:14:44,160 Speaker 6: And as I said, we have a sport that's as 253 00:14:44,160 --> 00:14:47,320 Speaker 6: exciting as every other sport. But the only difference between 254 00:14:47,400 --> 00:14:50,440 Speaker 6: first and every other sport is an our sport, every 255 00:14:50,560 --> 00:14:52,440 Speaker 6: kid on every team can turn pro. 256 00:14:52,840 --> 00:14:54,640 Speaker 2: And that's why your business. 257 00:14:54,240 --> 00:14:57,880 Speaker 6: Community or to be demanding that they have first teams 258 00:14:57,880 --> 00:14:58,720 Speaker 6: in every school. 259 00:14:59,480 --> 00:15:01,400 Speaker 1: I think it's really interesting. You know, there's a couple 260 00:15:01,440 --> 00:15:03,400 Speaker 1: of things I would agree with that, and it's like 261 00:15:03,480 --> 00:15:06,200 Speaker 1: we talk a lot about just financial know how, in 262 00:15:06,240 --> 00:15:09,360 Speaker 1: other words, you know, planning for your retirement savings. I agree. 263 00:15:09,400 --> 00:15:12,280 Speaker 1: It's another thing that kids should be taught pretty early. 264 00:15:12,680 --> 00:15:15,640 Speaker 1: Having said that you talked about AI and that you 265 00:15:15,640 --> 00:15:19,600 Speaker 1: your thinking is, listen, we're going to need more engineers 266 00:15:19,600 --> 00:15:22,320 Speaker 1: more than ever before because of it. Go there a 267 00:15:22,360 --> 00:15:24,920 Speaker 1: little bit more deeply, because I do wonder about your perspective. 268 00:15:24,960 --> 00:15:28,200 Speaker 1: Someone who makes things, has made lots of things, and 269 00:15:28,280 --> 00:15:32,280 Speaker 1: thinks about technology and the things that are innovating or 270 00:15:32,320 --> 00:15:35,640 Speaker 1: disrupting kind of how we do things. When you look 271 00:15:35,680 --> 00:15:40,600 Speaker 1: at AI, generative AI, machine learning, what will be mandatory 272 00:15:40,680 --> 00:15:42,520 Speaker 1: because you know some of the discussions that are going 273 00:15:42,520 --> 00:15:44,520 Speaker 1: on Dean right now is that it's going to replace 274 00:15:44,560 --> 00:15:46,920 Speaker 1: a lot of technical jobs. How do you see it 275 00:15:47,040 --> 00:15:50,840 Speaker 1: someone who's been in this world making and understanding technology 276 00:15:50,840 --> 00:15:52,240 Speaker 1: and a level that many don't. 277 00:15:53,360 --> 00:15:57,200 Speaker 6: Well, I'm no historian, but I think pessimists that are 278 00:15:57,240 --> 00:16:00,800 Speaker 6: always afraid of innovation, always afraid of change, always look 279 00:16:01,280 --> 00:16:04,640 Speaker 6: at the worst possible outcomes. I am sure that hundreds 280 00:16:04,640 --> 00:16:08,120 Speaker 6: of years ago, when the first steam engines came along, 281 00:16:08,520 --> 00:16:12,280 Speaker 6: people predicted that there'd be no more work for labor 282 00:16:12,320 --> 00:16:16,280 Speaker 6: for backbreaking ditch diggers, because a steam engine could do 283 00:16:16,360 --> 00:16:18,520 Speaker 6: the work of ten thousand of them. But what they 284 00:16:19,000 --> 00:16:22,640 Speaker 6: didn't realize is, once you've got bulldozers, you're not going 285 00:16:22,720 --> 00:16:25,440 Speaker 6: to build tiny holes with a small number of people. 286 00:16:25,640 --> 00:16:28,600 Speaker 6: You're going to build super highways that cross continents. Once 287 00:16:28,640 --> 00:16:32,720 Speaker 6: we develop a new technology, yes, it'll replace some people 288 00:16:32,760 --> 00:16:35,000 Speaker 6: that were doing some of it in the past. But 289 00:16:35,040 --> 00:16:38,440 Speaker 6: if the new technology is more empowering and more efficient, 290 00:16:38,760 --> 00:16:43,080 Speaker 6: all that it does is open up huge expanses in 291 00:16:43,200 --> 00:16:47,160 Speaker 6: new human growth and opportunity. And so I can't think 292 00:16:47,240 --> 00:16:51,359 Speaker 6: of a single new technology that, while it always displaces, 293 00:16:51,600 --> 00:16:55,720 Speaker 6: let's say, some piece of the current world, it always 294 00:16:55,720 --> 00:17:00,320 Speaker 6: expands more and better opportunities. And I can't imagine that 295 00:17:01,680 --> 00:17:05,760 Speaker 6: the people that might be displaced from doing boring, repetitive 296 00:17:05,880 --> 00:17:10,000 Speaker 6: jobs that can have robotic systems take their place, not 297 00:17:10,240 --> 00:17:14,119 Speaker 6: just physically, but even in terms of the technology that 298 00:17:14,560 --> 00:17:18,399 Speaker 6: is behind. AI will give engineers more powerful tools that 299 00:17:18,440 --> 00:17:22,320 Speaker 6: will give more people more capability to focus on solving 300 00:17:22,359 --> 00:17:27,600 Speaker 6: even bigger, by today's standards, insurmountable problems, understanding genomics and 301 00:17:27,640 --> 00:17:32,600 Speaker 6: figuring out how to make better drugs, figuring out how 302 00:17:32,640 --> 00:17:35,680 Speaker 6: to do all sorts of things that the current technologies 303 00:17:36,080 --> 00:17:39,680 Speaker 6: just make too expensive or too risky. So I think 304 00:17:39,760 --> 00:17:45,320 Speaker 6: anybody worried about the advances and the career opportunities that 305 00:17:45,400 --> 00:17:49,240 Speaker 6: will be created by AI isn't a very good student 306 00:17:49,280 --> 00:17:53,119 Speaker 6: of history. New technologies will enable us to build a 307 00:17:53,160 --> 00:17:56,919 Speaker 6: better world. They will create more new, exciting, not just jobs, 308 00:17:56,960 --> 00:18:00,520 Speaker 6: but whole industries that we don't even think about today. 309 00:18:00,760 --> 00:18:03,879 Speaker 6: And I think that's a recurring theme. But it does 310 00:18:04,000 --> 00:18:09,480 Speaker 6: require that people be prepared for better and faster education 311 00:18:09,800 --> 00:18:13,080 Speaker 6: about these new things, And I think we need kids 312 00:18:13,320 --> 00:18:16,680 Speaker 6: to grow up learning that they've got to remain learners 313 00:18:16,760 --> 00:18:20,080 Speaker 6: their whole life because technology is moving so quickly. By 314 00:18:20,080 --> 00:18:22,200 Speaker 6: the time they leave college, half of what they learned 315 00:18:22,240 --> 00:18:26,080 Speaker 6: in college is now obsolete. They need to learn how 316 00:18:26,080 --> 00:18:28,720 Speaker 6: to use cology as a tool and keep learning. 317 00:18:29,359 --> 00:18:33,800 Speaker 1: Thirty second, So the next first Robotics competition April seventeenth, 318 00:18:33,840 --> 00:18:35,520 Speaker 1: twentieth in Houston, right real. 319 00:18:35,400 --> 00:18:39,920 Speaker 2: Quickly, seventeenth to the twentieth in Houston. Please be there. 320 00:18:40,280 --> 00:18:41,800 Speaker 2: You guys should cover it. 321 00:18:41,800 --> 00:18:44,679 Speaker 6: It's going to be a celebration that will be the 322 00:18:44,760 --> 00:18:48,280 Speaker 6: cross between the super Bowl and a rock concert. It's fun, 323 00:18:48,440 --> 00:18:52,560 Speaker 6: it's important. We have thirty seven hundred corporate sponsors. Their 324 00:18:52,640 --> 00:18:54,960 Speaker 6: qualcom again is our season sponsor. 325 00:18:55,480 --> 00:18:56,720 Speaker 2: You should be there well. 326 00:18:56,760 --> 00:18:58,440 Speaker 1: And as I said, I remember when I went will 327 00:18:58,480 --> 00:19:01,080 Speaker 1: i Am was there and you're Boord is always really impressive. 328 00:19:01,320 --> 00:19:03,880 Speaker 1: Really a cross section of leaders in the tech sector 329 00:19:03,880 --> 00:19:07,959 Speaker 1: because they are watching very closely, because kids today are 330 00:19:08,000 --> 00:19:10,520 Speaker 1: their future workforce, no doubt about it. Dean Cayman, thank 331 00:19:10,520 --> 00:19:14,280 Speaker 1: you so much, appreciated. Founder First, as we said, joining 332 00:19:14,320 --> 00:19:16,760 Speaker 1: us from Manchester, New Hampshire on this Monday,