WEBVTT - Adobe Innovations, STEM Education and Robots

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news.

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<v Speaker 2>This is Bloomberg BusinessWeek with Carol Messer and Tim Stenebek

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<v Speaker 2>on Bloomberg Radio.

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<v Speaker 1>Want to get to our next story? This was interesting,

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<v Speaker 1>you know, we have written about this at Bloomberg. When

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<v Speaker 1>Adobe released its Firefly image generating software last year, the

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<v Speaker 1>company said that AI model was trained mainly on Adobe Stock,

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<v Speaker 1>its database of hundreds of millions of licensed images. Firefly,

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<v Speaker 1>Adobe said, was a commercially safe alternative to competitors such

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<v Speaker 1>as mad Journey, which learned by scraping pictures from across

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<v Speaker 1>the Internet.

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<v Speaker 3>Behind the scenes, Adobe also was relying in part on

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<v Speaker 3>AI generated content to train Firefly, including from those same

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<v Speaker 3>AI rivals. In numerous presentations and public posts about how

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<v Speaker 3>Firefly is safer than the competition due to its training data,

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<v Speaker 3>Adobe never made clear that its model actually used images

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<v Speaker 3>from some of these same competitors. This latest reporting from

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<v Speaker 3>our own Rachel Metz and Brodie for just last week

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<v Speaker 3>about how Adobe promotes its tool as say, from content

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<v Speaker 3>scraped from the Internet. We've got with us Ashley Still,

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<v Speaker 3>Senior vice president and general manager of Creative Business at Adobe.

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<v Speaker 3>She's back with us, she joins us from Menlo Park, California.

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<v Speaker 4>Ashley, good to have you with us. How are you.

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<v Speaker 5>I'm doing great. Thank you for having me.

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<v Speaker 3>Yeah, thanks so much for coming back with us. I

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<v Speaker 3>do want to start here. Given our colleagues recent reporting,

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<v Speaker 3>we should know Adobe did say that a relatively small amount,

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<v Speaker 3>about five percent of the images used to train its

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<v Speaker 3>AI tool was generated by other AI platforms. Can you

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<v Speaker 3>add anything here given what you work on at the company.

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<v Speaker 5>Yeah, absolutely, so, you know, we continue to you know,

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<v Speaker 5>we stand by and have stood by Firefly as commercially

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<v Speaker 5>safe as you mentioned since we launched. And what this

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<v Speaker 5>means is we are incredibly confident and have you know,

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<v Speaker 5>some very significant measures in place to make sure that

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<v Speaker 5>the content generated by Firefly doesn't infringe on copyright, I

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<v Speaker 5>P trademarks, you know, you name it, and and you know,

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<v Speaker 5>as as as an example of how we stand by that,

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<v Speaker 5>we actually offer indemnification for the content that is that

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<v Speaker 5>is generated by Firefly to businesses.

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<v Speaker 4>So in terms of ghead, Tim Well, I was just

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<v Speaker 4>going to say, so, if why wasn't the company or

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<v Speaker 4>hasn't the company been clear about the fact, at least

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<v Speaker 4>from the beginning that Firefly was trained on some generative

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<v Speaker 4>AI from the same same kind of companies that Adobe

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<v Speaker 4>has publicly tried to distance itself from.

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<v Speaker 5>Yeah, you know, I I think we uh it. We

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<v Speaker 5>have always been clear that there is some AI generated

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<v Speaker 5>content that's used in training and uh and you know,

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<v Speaker 5>in fact, I think as as editing that that is

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<v Speaker 5>AI system becomes more, it's going to be harder and

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<v Speaker 5>harder to say that there's any image doesn't have some

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<v Speaker 5>AI generated aspects of that image, right. And I think

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<v Speaker 5>in the past, I've we've talked about some of the

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<v Speaker 5>capabilities that we've released in Photoshop, So we've always been

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<v Speaker 5>clear about that. You know, we actually don't necessarily have

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<v Speaker 5>a lot of information about the source of the AI

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<v Speaker 5>that's generated, and that's why we focus so much on

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<v Speaker 5>making sure that again the content, that anything that's submitted

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<v Speaker 5>to Adobe stock doesn't have any owned aspects of that

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<v Speaker 5>of anything in that image, right Again, no copyright, trademark,

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<v Speaker 5>identifiable characteristics as part of that image. So we've been

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<v Speaker 5>pretty consistent about that. I think what's happened recently is

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<v Speaker 5>some very specific questions about, well, could there be images

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<v Speaker 5>generated from specific sources, And of course there could be

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<v Speaker 5>there could be I am curious.

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<v Speaker 1>Are we are curious? You know, if you've got any

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<v Speaker 1>calls from customers maybe about the possible confusion here about

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<v Speaker 1>you know, are we really one hundred percent commercially safe

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<v Speaker 1>or is it more like ninety five percent commercially safe.

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<v Speaker 5>Yeah, what our customers want to know is are we

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<v Speaker 5>indemnifying them?

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<v Speaker 6>Right?

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<v Speaker 5>And the answer is one hundred percent yes. Right, nothing's changed,

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<v Speaker 5>and nothing's changed about our confidence in that Firefly will

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<v Speaker 5>not produce content that infringes on other people's owned marks, content,

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<v Speaker 5>et cetera. Right, And we do that again by being

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<v Speaker 5>really careful about the content that we train on. As

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<v Speaker 5>I mentioned, everything goes to regardless of the source, whether

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<v Speaker 5>it's generated by a camera or sketch with a human hand.

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<v Speaker 6>Or.

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<v Speaker 5>Assisted or created through artificial intelligence. Every piece of content

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<v Speaker 5>goes through a moderation process through our Adobe stock marketplace

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<v Speaker 5>before it ever is used to train anything. And so

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<v Speaker 5>we really do that regardless of the source of the content,

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<v Speaker 5>and that's a huge part of it. The other aspect

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<v Speaker 5>is the types of things and prompts that we actually

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<v Speaker 5>allow you to create. And so again nothing's changed in

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<v Speaker 5>terms of the process and the technology that we have

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<v Speaker 5>in place to give us this confidence around commercial safety.

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<v Speaker 1>I do wonder too, does it give you at Ashley

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<v Speaker 1>by really training mainly on Adobe stock, which I can

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<v Speaker 1>imagine is massive and growing every day or every second.

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<v Speaker 1>Having said that, right, we know that generative AI is

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<v Speaker 1>going to be made better by more more information that

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<v Speaker 1>has put into it, more and more data. So do

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<v Speaker 1>you limit kind of set to some in some regard

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<v Speaker 1>the upside of the potential of all of this by

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<v Speaker 1>keeping it I understand, by keeping it commercially safe very

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<v Speaker 1>important for clients, But is there some limitations as a

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<v Speaker 1>result of that in terms of I don't know creativity

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<v Speaker 1>or ability because that's opening it to everything.

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<v Speaker 5>Well, that's a great question and actually very relevant to

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<v Speaker 5>another piece of news that we announced today. So we

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<v Speaker 5>actually announced two things today. First, we are showcasing video

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<v Speaker 5>AI workflows that will be bringing into Premiere Pro later

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<v Speaker 5>this year, which is incredibly exciting. And then we also

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<v Speaker 5>kind of snuck or showed some early explorations around things

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<v Speaker 5>that we're exploring with third parties around bringing third party

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<v Speaker 5>models into our applications, and in this case it is

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<v Speaker 5>specifically partners in the video space or potential partners with

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<v Speaker 5>in the video space with Open Ai, Sora with Runway,

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<v Speaker 5>and in a smaller company called Peka. And to your point,

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<v Speaker 5>models are going to be good at different things, right,

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<v Speaker 5>and whether it's the training approach or whether it is

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<v Speaker 5>you know, just the decisions made about what the model

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<v Speaker 5>is for and the use case that it's solving. In

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<v Speaker 5>the case of Firefly, one of the things that we've

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<v Speaker 5>really prioritized is creative control and controllability because we deeply

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<v Speaker 5>integrate Firefly into our creative applications like Photoshop, and in

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<v Speaker 5>the case of video, certainly Premiere Pro because our customers

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<v Speaker 5>want to edit content with AI. They want to take

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<v Speaker 5>their original images, you know, in video and produce the

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<v Speaker 5>content that there that they want to produce faster and

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<v Speaker 5>with more creative expression than ever before. But in some

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<v Speaker 5>cases there might be use cases that models are good

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<v Speaker 5>are great at.

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<v Speaker 2>Actually that isn't a.

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<v Speaker 5>Focose for us.

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<v Speaker 3>I want to jump in because we only have thirty

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<v Speaker 3>seconds left and I'm so curious about this. How do

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<v Speaker 3>you prevent deep fakes and stuff from this generative AI video?

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<v Speaker 5>Sure, so that is going to be a huge area

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<v Speaker 5>focused and content credentials is absolutely critical. You can think

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<v Speaker 5>of that as a nutrition label for content. There's an

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<v Speaker 5>open standard that Adobe started with many partners. I think

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<v Speaker 5>there's over two thousand companies that are now part of

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<v Speaker 5>this part of this open standard, and we think that

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<v Speaker 5>it's incredibly important for any editing tool or generative tool

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<v Speaker 5>to just be to put metadata in the content and

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<v Speaker 5>then enable consumers to quickly and easily see how the

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<v Speaker 5>content that they're consuming every day was created.

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<v Speaker 1>Always great to check in with you and find out

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<v Speaker 1>what you guys are up to with all of this.

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<v Speaker 1>Ashley still over at Adobe.

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<v Speaker 3>We always like to remind everyone that our next guest

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<v Speaker 3>is the inventor of the segue. You know it, of course,

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<v Speaker 3>the human transporter that balances itself. And he also holds

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<v Speaker 3>Carol a variety of past variety, variety.

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<v Speaker 1>We've all lost count so many.

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<v Speaker 3>I don't want to say what millions, but there's a lot.

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<v Speaker 1>Yeah.

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<v Speaker 3>His focus now expanding the reach of First Robotics competitions

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<v Speaker 3>and the minds of young people.

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<v Speaker 6>Yeah.

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<v Speaker 1>I've been lucky to go to one of the events,

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<v Speaker 1>the competitions many years ago in Saint Louis. It's so cool.

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<v Speaker 1>Dean came In is the founder of First Witch stands

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<v Speaker 1>for for inspiration and recognition of science and technology. He

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<v Speaker 1>joins us from Manchester, New Hampshire. Dean, so great to

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<v Speaker 1>have you back with us. Actually, Wes, we were preparing

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<v Speaker 1>for this segment. One of our producers are you to

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<v Speaker 1>producer Elizabeth Sedron. She actually was competing in the first

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<v Speaker 1>robotics competition in St. Louis, which I was covering for

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<v Speaker 1>Bloomberg TV at the time.

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<v Speaker 3>Back at World's Crossing.

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<v Speaker 1>You didn't even know it, but she talked about what

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<v Speaker 1>a great experience it was to be part of it.

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<v Speaker 1>So great to have you back with us, And yeah,

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<v Speaker 1>it feels like all of our worlds are colliding right here.

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<v Speaker 1>How are you and tell us about the latest round

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<v Speaker 1>of first and what you guys are up to.

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<v Speaker 6>So things are great here. In my day job, I

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<v Speaker 6>have about one thousand engineers. We're working out all sorts

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<v Speaker 6>of NEAT projects. We just got the FDA approval on

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<v Speaker 6>of really small, wearable high performance insulin pump.

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<v Speaker 2>For people with diabetes.

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<v Speaker 6>We are working on all sorts of other projects at Army,

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<v Speaker 6>our Advanced Regenerate Manufacturing Institute which has now got two

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<v Speaker 6>hundred members, and we're manufacturing cells tissues in oregons, hopefully

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<v Speaker 6>some of which will be through the FDA relatively soon.

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<v Speaker 6>In FDA provinces, we're doing all sorts of neat stuff,

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<v Speaker 6>but every one of our projects and every member of

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<v Speaker 6>ARM is suffering from the same issue talent, talent and talent.

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<v Speaker 6>And the good news is it's now become common knowledge

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<v Speaker 6>to our government leaders, our industry leaders, our education leaders

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<v Speaker 6>that the most critical shortage of this country has is

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<v Speaker 6>really passionate, talented stem folks. And as you know, thirty

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<v Speaker 6>five years ago and I started first, I was telling

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<v Speaker 6>people that until we can make science, technology, engineering and

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<v Speaker 6>mathematics as exciting to kids, as accessible to kids, as

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<v Speaker 6>rewarding to kids as football and basketball and the world

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<v Speaker 6>of entertainment, this country will continue to celebrate those things,

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<v Speaker 6>sports and entertainment and create the world's best people in

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<v Speaker 6>sports and entertainment.

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<v Speaker 2>But that's not going to keep this country going.

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<v Speaker 6>We need to get kids, particularly women and minorities that

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<v Speaker 6>culturally have been literally pushed away from thinking about careers

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<v Speaker 6>and science and technology. So as you know that the

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<v Speaker 6>power to me of sports to engage kids and get

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<v Speaker 6>them passionate seemed to be all we got to do

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<v Speaker 6>create create a science engineering competition that could compete for.

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<v Speaker 2>The hearts and minds of these kids. And we went

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<v Speaker 2>from twenty three teams thirty five years ago.

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<v Speaker 6>This year we have over eighty thousand schools worldwide.

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<v Speaker 2>We have one hundred countries involved.

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<v Speaker 6>The championship, which starts on Wednesday and goes to Saturday,

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<v Speaker 6>will this year be in Houston, no longer in Saint Louis,

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<v Speaker 6>but we'll have over fifty thousand people from representing all

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<v Speaker 6>the teams from around the country and around the world

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<v Speaker 6>competing there. Over a thousand teams will be there.

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<v Speaker 2>You should be there. It's going to be fantastic.

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<v Speaker 1>And here we are showing for those who are watching

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<v Speaker 1>on YouTube and Blueberg Originals some of the past competitions,

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<v Speaker 1>and if you are not familiar and you have kids,

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<v Speaker 1>you should just google it and check it out because

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<v Speaker 1>it really is about kids building and making things, competing

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<v Speaker 1>and love it.

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<v Speaker 3>It's really really cool. Dean, I'm wondering, obviously First has

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<v Speaker 3>grown so much in the last thirty five years, but

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<v Speaker 3>I'm wondering if how this is viewed by local governments,

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<v Speaker 3>how it's viewed by school boards, how STEM is viewed

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<v Speaker 3>in the classroom as part of a child's education here

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<v Speaker 3>in the US. I'm wondering if that's gotten any better

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<v Speaker 3>over the last thirty five years.

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<v Speaker 2>Well, i'd like to.

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<v Speaker 6>I'd say First is taking credit for making it a

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<v Speaker 6>lot better. Our Governor Chris Sinunu announced earlier this year

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<v Speaker 6>that we're going to put a first kit and a

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<v Speaker 6>first robotics program not in every school in the state,

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<v Speaker 6>but in every classroom in the state because our newer

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<v Speaker 6>little robotics kids don't cost a whole lot more than

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<v Speaker 6>a single textbook.

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<v Speaker 3>That's cool.

0:13:46.400 --> 0:13:49.560
<v Speaker 6>And by the way, last Thursday evening, we had a

0:13:49.640 --> 0:13:53.760
<v Speaker 6>huge event in Washington, DC, and our Secretary of Commerce,

0:13:54.160 --> 0:13:58.480
<v Speaker 6>Gina Romando, was there pointing out that it is so

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<v Speaker 6>critical to get STEM up in the hearts and minds

0:14:03.440 --> 0:14:04.600
<v Speaker 6>of kids around the country.

0:14:04.600 --> 0:14:08.079
<v Speaker 2>And as you know, the Chip act is going to.

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<v Speaker 6>Put out more than fifty billion dollars, but it's not

0:14:11.440 --> 0:14:13.400
<v Speaker 6>going to help, as she pointed out, unless we have

0:14:13.720 --> 0:14:17.200
<v Speaker 6>the people with the skill sets to fill these factories

0:14:17.240 --> 0:14:19.840
<v Speaker 6>to make these chips, to write the code.

0:14:19.520 --> 0:14:21.560
<v Speaker 2>To do the AI, to use the AI.

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<v Speaker 6>So the answer to your question is, I think STEM

0:14:25.000 --> 0:14:27.520
<v Speaker 6>is finally and I'd like to think first has something

0:14:27.560 --> 0:14:31.280
<v Speaker 6>to do with it really becoming front and center to

0:14:31.400 --> 0:14:34.200
<v Speaker 6>serious people that are looking to the long term future

0:14:34.240 --> 0:14:36.880
<v Speaker 6>of this country's needs. And we've got to get back

0:14:36.920 --> 0:14:41.760
<v Speaker 6>to getting all kids from all backgrounds more excited about STEM.

0:14:41.960 --> 0:14:44.160
<v Speaker 6>And as I said, we have a sport that's as

0:14:44.160 --> 0:14:47.320
<v Speaker 6>exciting as every other sport. But the only difference between

0:14:47.400 --> 0:14:50.440
<v Speaker 6>first and every other sport is an our sport, every

0:14:50.560 --> 0:14:52.440
<v Speaker 6>kid on every team can turn pro.

0:14:52.840 --> 0:14:54.640
<v Speaker 2>And that's why your business.

0:14:54.240 --> 0:14:57.880
<v Speaker 6>Community or to be demanding that they have first teams

0:14:57.880 --> 0:14:58.720
<v Speaker 6>in every school.

0:14:59.480 --> 0:15:01.400
<v Speaker 1>I think it's really interesting. You know, there's a couple

0:15:01.440 --> 0:15:03.400
<v Speaker 1>of things I would agree with that, and it's like

0:15:03.480 --> 0:15:06.200
<v Speaker 1>we talk a lot about just financial know how, in

0:15:06.240 --> 0:15:09.360
<v Speaker 1>other words, you know, planning for your retirement savings. I agree.

0:15:09.400 --> 0:15:12.280
<v Speaker 1>It's another thing that kids should be taught pretty early.

0:15:12.680 --> 0:15:15.640
<v Speaker 1>Having said that you talked about AI and that you

0:15:15.640 --> 0:15:19.600
<v Speaker 1>your thinking is, listen, we're going to need more engineers

0:15:19.600 --> 0:15:22.320
<v Speaker 1>more than ever before because of it. Go there a

0:15:22.360 --> 0:15:24.920
<v Speaker 1>little bit more deeply, because I do wonder about your perspective.

0:15:24.960 --> 0:15:28.200
<v Speaker 1>Someone who makes things, has made lots of things, and

0:15:28.280 --> 0:15:32.280
<v Speaker 1>thinks about technology and the things that are innovating or

0:15:32.320 --> 0:15:35.640
<v Speaker 1>disrupting kind of how we do things. When you look

0:15:35.680 --> 0:15:40.600
<v Speaker 1>at AI, generative AI, machine learning, what will be mandatory

0:15:40.680 --> 0:15:42.520
<v Speaker 1>because you know some of the discussions that are going

0:15:42.520 --> 0:15:44.520
<v Speaker 1>on Dean right now is that it's going to replace

0:15:44.560 --> 0:15:46.920
<v Speaker 1>a lot of technical jobs. How do you see it

0:15:47.040 --> 0:15:50.840
<v Speaker 1>someone who's been in this world making and understanding technology

0:15:50.840 --> 0:15:52.240
<v Speaker 1>and a level that many don't.

0:15:53.360 --> 0:15:57.200
<v Speaker 6>Well, I'm no historian, but I think pessimists that are

0:15:57.240 --> 0:16:00.800
<v Speaker 6>always afraid of innovation, always afraid of change, always look

0:16:01.280 --> 0:16:04.640
<v Speaker 6>at the worst possible outcomes. I am sure that hundreds

0:16:04.640 --> 0:16:08.120
<v Speaker 6>of years ago, when the first steam engines came along,

0:16:08.520 --> 0:16:12.280
<v Speaker 6>people predicted that there'd be no more work for labor

0:16:12.320 --> 0:16:16.280
<v Speaker 6>for backbreaking ditch diggers, because a steam engine could do

0:16:16.360 --> 0:16:18.520
<v Speaker 6>the work of ten thousand of them. But what they

0:16:19.000 --> 0:16:22.640
<v Speaker 6>didn't realize is, once you've got bulldozers, you're not going

0:16:22.720 --> 0:16:25.440
<v Speaker 6>to build tiny holes with a small number of people.

0:16:25.640 --> 0:16:28.600
<v Speaker 6>You're going to build super highways that cross continents. Once

0:16:28.640 --> 0:16:32.720
<v Speaker 6>we develop a new technology, yes, it'll replace some people

0:16:32.760 --> 0:16:35.000
<v Speaker 6>that were doing some of it in the past. But

0:16:35.040 --> 0:16:38.440
<v Speaker 6>if the new technology is more empowering and more efficient,

0:16:38.760 --> 0:16:43.080
<v Speaker 6>all that it does is open up huge expanses in

0:16:43.200 --> 0:16:47.160
<v Speaker 6>new human growth and opportunity. And so I can't think

0:16:47.240 --> 0:16:51.359
<v Speaker 6>of a single new technology that, while it always displaces,

0:16:51.600 --> 0:16:55.720
<v Speaker 6>let's say, some piece of the current world, it always

0:16:55.720 --> 0:17:00.320
<v Speaker 6>expands more and better opportunities. And I can't imagine that

0:17:01.680 --> 0:17:05.760
<v Speaker 6>the people that might be displaced from doing boring, repetitive

0:17:05.880 --> 0:17:10.000
<v Speaker 6>jobs that can have robotic systems take their place, not

0:17:10.240 --> 0:17:14.119
<v Speaker 6>just physically, but even in terms of the technology that

0:17:14.560 --> 0:17:18.399
<v Speaker 6>is behind. AI will give engineers more powerful tools that

0:17:18.440 --> 0:17:22.320
<v Speaker 6>will give more people more capability to focus on solving

0:17:22.359 --> 0:17:27.600
<v Speaker 6>even bigger, by today's standards, insurmountable problems, understanding genomics and

0:17:27.640 --> 0:17:32.600
<v Speaker 6>figuring out how to make better drugs, figuring out how

0:17:32.640 --> 0:17:35.680
<v Speaker 6>to do all sorts of things that the current technologies

0:17:36.080 --> 0:17:39.680
<v Speaker 6>just make too expensive or too risky. So I think

0:17:39.760 --> 0:17:45.320
<v Speaker 6>anybody worried about the advances and the career opportunities that

0:17:45.400 --> 0:17:49.240
<v Speaker 6>will be created by AI isn't a very good student

0:17:49.280 --> 0:17:53.119
<v Speaker 6>of history. New technologies will enable us to build a

0:17:53.160 --> 0:17:56.919
<v Speaker 6>better world. They will create more new, exciting, not just jobs,

0:17:56.960 --> 0:18:00.520
<v Speaker 6>but whole industries that we don't even think about today.

0:18:00.760 --> 0:18:03.879
<v Speaker 6>And I think that's a recurring theme. But it does

0:18:04.000 --> 0:18:09.480
<v Speaker 6>require that people be prepared for better and faster education

0:18:09.800 --> 0:18:13.080
<v Speaker 6>about these new things, And I think we need kids

0:18:13.320 --> 0:18:16.680
<v Speaker 6>to grow up learning that they've got to remain learners

0:18:16.760 --> 0:18:20.080
<v Speaker 6>their whole life because technology is moving so quickly. By

0:18:20.080 --> 0:18:22.200
<v Speaker 6>the time they leave college, half of what they learned

0:18:22.240 --> 0:18:26.080
<v Speaker 6>in college is now obsolete. They need to learn how

0:18:26.080 --> 0:18:28.720
<v Speaker 6>to use cology as a tool and keep learning.

0:18:29.359 --> 0:18:33.800
<v Speaker 1>Thirty second, So the next first Robotics competition April seventeenth,

0:18:33.840 --> 0:18:35.520
<v Speaker 1>twentieth in Houston, right real.

0:18:35.400 --> 0:18:39.920
<v Speaker 2>Quickly, seventeenth to the twentieth in Houston. Please be there.

0:18:40.280 --> 0:18:41.800
<v Speaker 2>You guys should cover it.

0:18:41.800 --> 0:18:44.679
<v Speaker 6>It's going to be a celebration that will be the

0:18:44.760 --> 0:18:48.280
<v Speaker 6>cross between the super Bowl and a rock concert. It's fun,

0:18:48.440 --> 0:18:52.560
<v Speaker 6>it's important. We have thirty seven hundred corporate sponsors. Their

0:18:52.640 --> 0:18:54.960
<v Speaker 6>qualcom again is our season sponsor.

0:18:55.480 --> 0:18:56.720
<v Speaker 2>You should be there well.

0:18:56.760 --> 0:18:58.440
<v Speaker 1>And as I said, I remember when I went will

0:18:58.480 --> 0:19:01.080
<v Speaker 1>i Am was there and you're Boord is always really impressive.

0:19:01.320 --> 0:19:03.880
<v Speaker 1>Really a cross section of leaders in the tech sector

0:19:03.880 --> 0:19:07.959
<v Speaker 1>because they are watching very closely, because kids today are

0:19:08.000 --> 0:19:10.520
<v Speaker 1>their future workforce, no doubt about it. Dean Cayman, thank

0:19:10.520 --> 0:19:14.280
<v Speaker 1>you so much, appreciated. Founder First, as we said, joining

0:19:14.320 --> 0:19:16.760
<v Speaker 1>us from Manchester, New Hampshire on this Monday,