because we're talking about ai. What we need to do first is define terms. I think that might be the most important exercise of today's talk, to be honest with you, because AI for me anyway, and maybe are smarter or better educated or actually went to college. it's something of, an intangible concept. I understand artificial intelligence, but far as practical application, it's more or less eluded me in, preparation for this talk. I went and I tracked down. Definitions. So I've got Wikipedia's definition up here. Intelligence perceiving, synthesizing and inferring information demonstrated by machines as opposed to intelligence displayed by non-human animals and humans. I don't like that at all. again, this is gonna get really, really important because the way that we define ai. Is going to dictate the way that we use ai. So the textbook definition. Let's say, and I'm gonna set that aside and I'm gonna ask you to set it aside too. The one that I kind of liked was TechTarget dot com's definition. Artificial intelligence is the simulation of human intelligence processes by machines. Now here's what that means. We need to treat AI driven mechanisms as though they're human. And what's interesting is this isn't, A discussion about the future. I'm telling you this, based off of experience, I own a Google ads agency that manages almost a hundred million dollars in ad spend. And we're using AI right now today in order to optimize campaigns on a level that we've never been able to do before. And I've said for years that someday AI will replace me, just not today. Well, The day has come. Sadly, Google rolled out a campaign type pub performance Max. If you've been to some of my other Edward trucks, you've probably heard me talk about it. Y'all. It is amazing. It's the most amazing marketing mechanism I've ever seen in person. And it's, it's entirely AI driven. You effectively give Google, creative, your assets. Relative targets, but even that's not necessary cuz the AI will figure it out. and then Google goes off and it, finds who's gonna buy from you in what capacities, at what intervals, and then optimizes accordingly. Entirely AI driven. so AI lives, right? Notre Dame and the principles that I'm gonna be sharing with you are real world, these are actually practical application, like things that I've used. this isn't theory. And the reason that well, let me back up. Some of it is but I'm making that point so strongly because all of a sudden everybody's damn AI expert. Have you noticed that you've got all these, gurus and thought leaders running around. Pumping out courses on how to use chat G P T, and in my mind I'm like, 40 days ago you were a crypto expert. Now you're, I don't know, I'm not trying to throw out too much shade, but I do just wanna make the point that I am an absolute complete, total, and utter amateur. When it comes to ai, and I have a hundred million dollars in education, so be careful who you listen to and whatever it's worth, I'm offering you feedback and insights that I've been able to gain from, actually doing this stuff. So I'm gonna stop this. Got it. Egoic, I'm so sorry. What is AI really for me? I have my own definition that I'm gonna offer you just come with me on this for a little bit. And if you don't like it, you can discard it. My bad definition is AI is machine driven value judgment, machine driven value judgment. Now, value judgment to my mind is thinking. When you think you make value judgements, that's really all thinking ends up being. that's the preferential treatment of anything that happens to be in your, ecosystem is the world becomes a form for action. You take things and make value judgements out of them. You know, a stick can be a weapon or a tool, or it can be benign. It and value judgments change based off of context. a rock next to a plate glass window becomes far more valuable. When there's a fire in the room. So those are value judgements. and to dive a little bit further, let's define value judgements. And this is the technical definition incident that I stole from the internet. An assessment of something as good or bad in terms of one's standards or priorities. This is the critical part of this definition because this is what's gonna come and bite us when it comes to ai. If AI is machine-driven value judgment. And value judgments are an assessment of something's good or bad in terms of one's standards or priorities. It becomes the standards and priorities that are the most important foundational construct when managing and dealing with ai.