(Transcribed with FirefliesAI. Some errors may appear.)

Okay, what's AI doing with all the water? Where does it go? What does it turn into? Is it worth it? And how should we as hypnotists feel about it? And I know you're thinking, wait, Scott, you're going to tell us how to feel. I am. And now you're thinking, whoa, how dare you? And I'll say, let me tell you how I dare. I've given lectures all over the world on AI pro and con, what to be aware of, ethics, you know, all sorts of things. I've done corporate off sites for decent sized companies and we're smart, important people wanted to know what I thought. And I've been doing this since before ChatGPT was a product. In fact, I've been doing this since before OpenAI was a company. So I've been doing this a long time.


00:41

And I've got some thoughts that apply directly to you guys. But let's just put it into context, starting with what's the water doing and what's it for? AI doesn't eat it, but what it's using it for is cooling. That's it. Just making things colder. You know how your computer gets warm? Now imagine a billion of your computers in one room. It would get very warm. And you need more than just some fans. And water is great for cooling things. And so really, when they talk about how much water is being used by AI systems. Yes, there are closed loop systems that keep the water in a circulated thing. Not many of them do it that way. Most of them do it in a way wherein 80, 85% of that water is just steam. It's just evaporating and it's just turning into steam from cooling.


01:34

Okay, well, that water isn't destroyed, but it is being relocated in the environment from this area to that area based on wind or whatever, however, you know, weather works. But so we are removing water from that local area, not from the total water table, but definitely from that area. And that, you know, is sometimes critical. Terrible. So about 80, 85% of the water is evaporating. Great. And then going somewhere else, eventually generating, you know, more hot steam in the air. Cool. That's what's happening. Then the other, you know, 15, 20%, some of it gets recirculated, some of it gets like solvents and chemicals in it. And then that needs to get like cleaned and dealt with in a whole other like wing of a thing. That doesn't matter right now because that's what's happening to the water.


02:33

Some of it's getting put over there for later to be cleaned and dealt with. And some of. And that happens and some of it is just evaporating and going far away. Bad for the local area, obviously. And then water prices go up and energy prices go up for that area. So that's not good either. Okay. And there's other stuff I'm not going to get into all. But what's it turn into? It turns into intelligence. It turns into not just data, but application of data, understanding, interaction with data. It's cool. It can be incredibly valuable. And this is really where I think we need to pay attention to things because sure, the price of electricity goes up in your neighborhood or water prices go up or water just goes away. So what are you getting? Well, and is like the ecology.


03:22

So turns out it's actually pretty darn efficient. And this is surprising to a lot of people. But listen, if you're doing real knowledge work, if you're synthesizing information, if you're saying, read this book and tell me what you're noticing about themes here, because I'm trying to raise a kid who's this way. So would you help me grab these five parenting books and synthesize them and help me make a better weekly plan for. And you're applying it to your life and you're doing neat things that was really energy efficient. Like, like way energy efficient. It really is just objectively. Here's the thing though, that's not what most people are doing with AI so what a lot of people are doing is varying degrees of, you know, promoting your next stage hypnosis thing with a really bad flyer that doesn't look like you.


04:21

And no one thinks it looks like you, not even you. It doesn't matter how efficient that thing, the creation of that thing was. That doesn't matter. It's wasted. Right? And so it really. We need to change the way we're paying attention to this. It's less the ecology and the worthiness of this is less about the process and the energy being used and more about the intention and the effort of the person involved. And this is a big thing that I think about with slop. Here's what I mean. The reason you resent slop is because it has shifted the burden of effort from the creator to the consumer. And that's not fair because historically, if I wanted to say a bunch of stuff to you, I had to make a video like this and you know, probably some bullet points at least.


05:27

And then I had to make this video and then I Had to edit it and put in whatever, you know, transcription or color correction or whatever goes into editing clips out. But now there are people who can do that just by putting in a prompt. And the whole video gets generated. The human didn't even record it, or all the post production gets done by a robot and it gets uploaded everywhere in an automated system. Or, or, or. The point is, it used to be the content creator had to put thought into an effort into creating a product worthy of your consideration. And so by the time you saw it, you knew this person at least put in work. And now that's not true. So now you, as the consumer of the information, have to decide if the person put in any work at all.


06:28

And sometimes that's a slop article being written or blog post or Facebook post or whatever that is just slop. It's just garbage. And I think a really useful way to think about this is you, the content creator, must be the arbiter of taste and quality and goodness before anyone else gets it. Otherwise, the ecology of that is pollution. Not just intellectual pollution and social pollution, which it definitely is, but also environmental pollution. Where we're talking about, that's what's wasting the water, because that's waste. Because you didn't even bother to read it before you sent it to me. And that means you just shifted the burden of consumption, the burden from creation to consumption. And, and that shift is unfair. And that's what we're resenting. That's what we're all pushing back against.


07:43

The content creator is supposed to have wrestled with these ideas, spent time with it, and if you're going from, you know, what could be a product to a landing page in under a week, you're not spending enough time with it to have done the work. You are then shifting to the consumer. That makes sense. And really what this all comes down to is, yes, AI is incredibly valuable when we make it valuable, but when we just use it to be a laziness machine, it fails to meet its promise. So all of that to say, let me turn all of that into a so what? So what? So I built Sage. Sage is an AI mentor for hypnotherapists that's designed to not be a laziness factory. It's not, hey, make a script for me for this. It won't. It will work with you.


08:47

It's designed to make you better, not just to make you happy in this chit chat. It's designed to help find information for you, to watch it with you, and to discuss it and dissect it together, not to just write the script or write the email. It's a tool that's not like most people think AI is, but it is what you wish it was. And so this is what considered effort looks like. And most importantly, a response to your feedback. See, I've been getting feedback from you guys about what you wanted in this for a long time and I've built that in. And the thumbs up, thumbs down you guys have been giving me in the feedback already early in the usage of Sage, you'll see we're one week into a free trial and we're making so many changes.


09:42

It's all getting better and better and it's going to continue to do that. And that's one of the really cool things that we have going on. The idea of AI is self improvement, right? Recursive improvement, machine learning. And what we have is a similar thing where you guys give feedback and Stephanie and I actually listen. And that's what's made the conference better and better. And that same methodology is going to apply here with Sage and the feedback you are giving. We are already applying and we're grateful for it. So please continue to give it to us. And please. I'm going to keep making these kinds of videos that kind of share context. If you want more stuff like this from me, there's a ton of it.


10:27

At hypnothoughts.com you can sign up for 365 with Sage and that gives you a whole section of just direct answers to direct questions about how to make your practice more successful, how to be a more effective practitioner, full courses, the largest hypnosis library on the planet. And so thanks for watching this video. More from me soon. See you around.