306 Earle Hall

Jeffrey Feldberg: [00:00:00] Welcome to the Deep Wealth Podcast where you learn how to extract your business and personal Deep Wealth. 

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Earl G. Hall is an internationally recognized entrepreneur, visionary, and innovator in several fields of technology and neuroscience. Earl is the CEO of AEXS.ai, a cloud based information management system for the casino industry.

Earl is the Vice Chairperson of the International Gaming Standards Association and Chair of the Blockchain Committee. He focuses on ethical [00:02:00] AI, blockchain standards, and integral traceable data. Earl has two TEDx talks in the neuroscience field. His passion for technology is only matched by his curiosity about human behavior.

Welcome to the Deep Wealth Podcast and you heard it in the official introduction. We have an incredible individual starting from the military to now being a thought leader to being on the forefront of technology and AI and a really an entrepreneur through and through. It will be an incredible conversation.

Hang on to your hats. But that said, Earl, welcome to the Deep Wealth Podcast. It's an absolute pleasure to have you with us. And Earl, I'm always curious because there's a story behind the story for everybody. Tell So what's your story? What got you from where you were to where you are today?

Earle G. Hall: first of all, thank you very much for having me. I'm very grateful to be here. And my story is a very simple one. I come from a very small fishing village in Newfoundland, Canada. Growing up very modest. If that's the [00:03:00] word I could use to mask the truth a very modest upbringing. But at the age of nine years old, my mother took out a five year bank loan and bought an encyclopedia set.

And all of a sudden, and I'm sure the internet enabled world we're in now would not maybe relate to that. But at the age of nine years old, I left. A beach

in small town Newfoundland, where my universe was really two mountains that governed where I lived.

And all of a sudden, with these 17 books...

Every time I turned a page, I saw a new country, a new culture, a new language, a new spice, a new word that I could learn, and that fueled a fire inside of me that's governed every single thing I've done since. Because I started reading those encyclopedias, and I wrote down about 200 plus the number's 208, to be precise, [00:04:00] I wrote down 208 places that I had to absolutely see in my life.

Every job, every investment, every project, everything I volunteered for seemed to be synchronous of getting to put my feet on the ground in all of those places around the world. And I'm very proud to say I only have three places left.

Jeffrey Feldberg: Wow. Little wonder. I know from in between this interview with the emails, Jeffrey, I'm going to be on this continent today and the next continent tomorrow. And I just got back from over in the UK yesterday. So you are all over the place, but let me ask you. So as your world really expanded and you're right, some of our listeners today and encyclopedia, what the heck is that?

What books you had to read books. And it'll be a foreign concept for them. So your mother took a huge investment for her, a five year loan for an encyclopedia set, I mean, wow, talk about her devotion to you and your future and her [00:05:00] investment that she's putting into her child, into her son, to go out there and be someone that literally changed your world.

So as you're growing up, as you had this list of 208 countries that you're going to visit, that you wanted to see, as you're starting out in business, what was it like for you in the early days?

Earle G. Hall: Like in any movie you go to see, you've got the beginning where all the hype is and that was made with the encyclopedias. But then you have the heartbreak and the heartbreak was, is at the age of 17, I realized that I had absolutely no future in Newfoundland. I couldn't go to school. had no financial resources to do anything, and out of the blue, one of my friends pointed me towards the Royal Military College, which is the Canadian version of West Point.

And lo and behold, I applied, got accepted, and after my mother, Taking out a loan that broke the bank for many years, I turned around and turned it against her because everything I'd learned in those books, I [00:06:00] packed my bags to go see around the world, and I was very grateful to use the Canadian Military College system to be my springboard for that. And I did my short engagement, which is almost 10 years. And from there I knew I had to do something else and I just jumped out into the civilian world and decided to figure out what entrepreneurship is. And entrepreneurship very rapidly became equated to only one word or only one Mantra, and that's never give up. It's impossible to fail if you don't give up. And I remember in the early days of one of the startups my team and I built we were down to 17, 000 in the bank account, no way to do payroll. And we're all looking at each other around the table and everybody was getting ready to give up. And I said listen, folks, here's the military Earl [00:07:00] talking to you.

I said, I'd rather go home with a flag over my box. Then give up. And I said, we're going to figure this out. And, you know, something, the really cool thing is when you go into the veil, the 1%, that place where nobody really wants to go, unless their life is in danger, their family's in danger. But when you go into that veil, miracles happen.

And, That next day, we had a miracle and continued on, and we built an amazing company because of

Jeffrey Feldberg: It's interesting, Earl, when you went into the military, if you go back there for just a moment, speaking with you and seeing your accomplishments and your achievements today. Back in the day, I'm just wondering the military, when I think of the military, and by the way, thank you for your service, for starters, and God bless everyone in the military.

They do what they do so we can do what we do. We're very privileged and fortunate. Having said that though, personally, when I think of the military, I think of a very structured system, which has a reason for being structured and it can [00:08:00] be rigid and has a reason for being rigid. But at the same time, a thought leader like yourself who seems perhaps, okay, I'm going to push the envelope.

I'm going to be a little bit more free flowing. How, what was that like in the early days for the military? And I can see that never give up being instilled in you, which would seem to be a benefit, but what was that like as you went, you call a short stint, 10 years for some people would be a lifetime, but in that 10 year period, that decade of your life, what was that like for you being in the military with the systems and your personality and the way you were thinking?

Earle G. Hall: That's a hard question for me to answer truthfully, because... I want to make sure that I respect every single mentoring coach that believed in to me because I had a very complex time at the military college because of my educational background and a standard at military college. But let's just say that when you look back on your life, and I'm in my 50s, so I'm allowed to say that now, when you [00:09:00] look back on your life like I am, I'm realizing that my life was built on foundational layers, so while I may have been less comfortable, less happy, less patient, you could ask General Scott Clancy how patient I was as a human being back then.

He would try to find a word more positive than not at all, but that being said the military gave me structure, process, communications, it gave me methodology, it gave me so many different tool sets to be able to adapt, improvise, and overcome almost anything. To achieve the goal, and there are militaries that have amazing budgets, there are militaries that have outstanding abundance of resources, but if you know anything about the Canadian military, the motto is, please figure out how to do something [00:10:00] Even anything with nothing.

So the creativity that I found in the military was getting to my vision, getting to my goal without the abundance of resources that we needed to succeed. And lo and behold, when I went into the entrepreneurial world, it became the same thing. When a startup tells you that they have the bank account to achieve their goals,

They're doomed to fail. They're just pipe dreaming and they're heading straight for the wall.

Jeffrey Feldberg: As we love to say, my, one of my personal favorites is resilience trumps resources all day, every day.

Earle G. Hall: Always, that's outstanding and I'll steal that with a footnote, but that's outstanding. That's exactly it and everything I've lived in my civilian entrepreneurial career brings me back to the fact that Always low resources, always high ingenuity, always high creativity, always high [00:11:00] enthusiasm, and that kind of emerges my theory of entrepreneurship.

Hard

Jeffrey Feldberg: As I like to call it, it's the cockroach startup mindset. You know, we're bootstrapping and we're trying to figure out how we're going to make things go. And it's not how much money can we spend? It's Hey, even though we have the money, should we be spending it? Is there a better way to do it faster and perhaps for less?

And let's get real customers, real profits, real business models. So it's very interesting. So what I'm hearing you say is the days in the military gave the discipline. It gave that resilience, that never give up attitude that you then took and you begun to apply to the world of entrepreneurship. And if you fast forward to today, because Earl, your whole journey, I mean, every one of those chapters, it's not only an episode, it's a series of episodes that we can do.

But if you fast forward to today, you're doing some incredible things. I mean, you're really a thought leader. You've given TEDx talks. You're now in Las Vegas. You're doing things with artificial intelligence and gaming. So why don't we focus on that for [00:12:00] just a moment? AI. It's in the news every single day.

It's been around for a while, but it's really caught on now in the public's imagination and where we can take it as of late. What's going on with that? What do you think we should know as society, whether it's from the gaming world or from what you're seeing from your vantage point, you can take that whichever, which way you'd like to, but we'd love your insights on that.

Earle G. Hall: part with me and in artificial intelligence is I don't like the word artificial. I just posted recently something that explains that ChatGBT right now is running at an IQ of about 150. And by three years from now, when you make a request to ChatGBT, the answer will come back, will have an IQ of above 3, 000.

Jeffrey Feldberg: Wow. Wow.

Earle G. Hall: if you look at the speed of acceleration, which is the same speed of any technology curve, Our genesis point, and like, I can't prove this empirically, but when chat GBTs showed up in the App Store in May,

I saw [00:13:00] everybody migrate. Before that, you had to work at learning AI. And it was more, it wasn't really AI, it was 80 percent machine learning, and the deep learning the large language models, and everything that's real AI, it didn't have enough access to data.

Jeffrey Feldberg: hmm.

Earle G. Hall: Intelligence is kind of like a human being, humans need oxygen, water, and food.

You can sum that up in one word for AI, and it's data.

And that's what we've been up to 15 years ago. We took the guess, and I like to say the word guess, even though it wasn't, that the world that would emerge in our industry would be based on three fundamental principles. Everything would be cloud, because cloud is way more secure than uncloud. Two, everything would be cashless. COVID accelerated that principle and brought us ten years faster towards it.[00:14:00] And third actionable intelligence or artificial intelligence would be the foundation of all organizations.

And we're entering into the AI phase right now, because For a product to go mainstream, it has to be consumer friendly, and ChatGBT on an Android or a smartphone, it's ask a question, get an answer, so people are not finding the resistance that we had when we were using large, complex systems. But that makes sense.

So

Jeffrey Feldberg: Absolutely. Now, let's go back to something that you said. I've heard it said, really from other thought leaders as well, they say, Jeffrey, when you're talking about quote unquote artificial intelligence, please remove the word artificial. Because there's nothing artificial about it, that it's a sentient being.

Now that creates a whole storm cloud of discussions, but what's your thought on that? Is it a sentient being? Is it alive, so to speak, perhaps in a different kind of way than what we would define that from a human perspective? I mean, what's going on with that?[00:15:00]

Earle G. Hall: I'll draw a very clear line in the sand, and if anybody wants to dance on my side of the line, they better have the neuroscience background that I do to have a chat about it. Because when you take a human being sitting in their chair at home, relaxed, with no worries, no pain, no trauma, and no threat, I'm using precise words, In other words, the fight and flight mechanism is not activated.

They're in a rest and digest. That means the right side of their brain is more or less dormant, but the left side, the rational thinking side is firing up.

Jeffrey Feldberg: Okay.

Earle G. Hall: That's what AI is doing 24 hours a day.

So when you get into generative AI, you're looking at rational thought, rational response, and you're looking at learning off grid.

Rational decisions, where there is no induced [00:16:00] culture, there is no induced principles, and we could argue that in the micro, that the person that's creating the algorithms is inducing these. Errors, if I can call them,

Jeffrey Feldberg: Huh. Mhm. Mhm. Mhm. interim. Mhm.

Earle G. Hall: but the major distinction we have to make in the AI world is that a human is not human at least 80 percent of the time for the very simple reason is that the vast majority of humans do not know how to breathe.

Jeffrey Feldberg: Mhm.

Earle G. Hall: So because you're not having conscious breath generated thought and inspiration. If you have a low breathing level, the majority of your decisions are being fired from adrenaline cortisol,

Jeffrey Feldberg: Mhm.

Earle G. Hall: are two of the most toxic drugs that were ever created inside of the human system, for very good reasons, because if you were out in the savanna and the line was coming [00:17:00] after you, you need adrenaline to run away.

And you need cortisol to be worried about it the next time. So you need the yin and the yang of the adrenaline and the cortisol, but in this modern, inspired, human world we've been in for the last while, Cortisol and adrenaline are the most too toxic things you could ever have because it de centers you from your neo frontal cortex and your soulful, inspirational self. So you can actually measure in modern bots. That their synthetic thinking models are more advanced, and once again, I'm going to refer to ChadGBT is running between 150 and 160 of an IQ today as of this podcast. That is in the Einstein level already. Which means the human that [00:18:00] is then sitting in their living room is going to be running between a hundred and sixty and check GBT.

If you ask it the right question with the right precision, you'll get an answer more intelligent than the average human. If that's not a definition of thinking, nothing is.

Jeffrey Feldberg: So, Earl, there's a lot there. And let's go back to one of the things that you said, and I absolutely love this. We're all about the long form, the long narrative here on the Deep Wealth Podcast. And so you're saying, let's call it 150, we'll round it down a little bit to 150 from an IQ perspective today, but you said where it's heading, very 3000.

And if we flip that for a second, if humans were at a level of a 3000 IQ today, and we were dealing with another species or other people that were magnitude, a huge factor below that, you know, back at the 150, I suspect it'd be very hard for us to relate to them. [00:19:00] But now the tables are turned and we have this intelligence that's going to be 20 times the intelligence of where humans are.

And so, you know, out there, and I don't want to start getting into conspiracy theories and all these other kinds of things. You have people that are that,

Earle G. Hall: do. I have fun with all of those. Thanks.

Jeffrey Feldberg: You hear the battle cry being sounded, Hey, humanity. Take notice now before it's too late, because once this thing gets out there, there's going to come a point in time, it's smarter than us. We won't be able to be the master anymore, be able to control it, the tables will turn and it could be the end of life as we know it.

Where are you on that

Earle G. Hall: a hundred percent. That's a hundred percent true.

Jeffrey Feldberg: Okay.

Earle G. Hall: I had the privilege in a former entrepreneurial project to work on the special effects for the movie, The Matrix. And in that movie, when we were working on the polygon models it was, Very apparent that all of my nightmares from when I was a very young kid were going to come true, [00:20:00] that these robots would come and kill us all.

So how about this for a theory, because the glass is either half full or half empty. If you want to have it neutral, that means you're a flatliner. That means you just don't have an opinion. But let's take the half full. Let's pretend that there are people out there that are writing algorithms to destroy humanity and destroy the planet.

That's true, by the way.

That's true. There are people out there doing it. There are people out there that are writing algorithms to save the environment, get rid of cancer. There are people out there on both sides of the yin and yang.

It all comes back to your personal values what you believe.

As generative AI goes to cognitive learning,

And I'm going to add in a word that's not really comfortable or mainstream, I'm going to call it synthetic.

Cognitive learning, just to pay respect to the synthetic [00:21:00] thinkers that we're calling AI driven robots.

Jeffrey Feldberg: Okay.

Earle G. Hall: Do we not think that they're not going to create their own version of right and wrong?

Jeffrey Feldberg: Scary thoughts, sure.

Earle G. Hall: you not think that they're going to realize that there's a subset of the human population that has a very intimate connectivity to their god? That understands what a soul is, that feels a divine connection to something that may be spirituality, that may be religion, and they may want to spend the next thousand years learning how to regenerate that inside of themselves.

Outside of the Big Bang Theory, that's getting debunked. one step at a time. That's how humanity showed up on the planet. If we look at the Italians and we compare them to the Romans and we compare them to the Egyptians and we go back all the way to Mesopotamia, we'll see that civilizations just [00:22:00] evolved as values.

Principles, and here's the big word, Awareness Evolved. So if we look at our synthetic new best friends, they're just a higher level of rational awareness. I'm using the word rational, so I don't have to use divine, or spiritual, or things that are more holistic and not scientifically accepted in the mainstream right now.

But don't you think that some are, my grandmother always said, The good will always outweigh the bad. That's how humanity survives. Shouldn't

We have the same hope for these synthetic friends that are starting to show up, one algorithm at a time?

Jeffrey Feldberg: And so two things to that. The first thing, just in terms of terminology, so you shared at one point, it will stop being generative. It'll go to cognitive or synthetic. So what's the, difference? 

Earle G. Hall: we're on the cusp right now.

Jeffrey Feldberg: How would you describe the difference generative [00:23:00] today compared to a cognitive tomorrow? What does that mean?

Practically speaking.

Earle G. Hall: So generative is very easy. Generative is, I take two pieces of data. I take hot and I take cold, and the algorithm makes a decision that warm is the answer, and not deciding between hot and cold. If I take it back a step, where we came outta in AI was called discrimative.

In other words, we give the algorithm a decision, black and white, and it'll go, I dunno, let's go for black.

Jeffrey Feldberg: Okay.

Earle G. Hall: 52.3% says it's black. Let's go with black. Whereas

Generative AI says, Black plus white equals, look at all of your experiences, look at your past decisions, look at the environment, look at the entire dataset that you have availability to, and bring us back your best answer.[00:24:00]

If that was a human, we'd be talking about values and principles.

Jeffrey Feldberg: Sure.

Earle G. Hall: But in the AI world right now, all we're saying is that's generative AI. It's bringing back a response that it generated from, and the word I'm going to use is, it's experienced.

Now that we've made it there, I mean, out of the laboratories where it's been working for years now, we're heading towards cognitive learning, and the entire experience of cognitive That's where we get into Einstein, what he coined, called fuzzy math.

In other words, we'll give you all of the information, we'll give you all of the data, but now you're going to start going layers down into the information, and maybe a decision you made here is because you were, and if you don't mind, I'd like to jump over to humans. When I sit down with a human being and I ask them to make a decision, it kind of looks simple [00:25:00] on the surface.

But they may have had a car accident at 32 years old that fundamentally scarred their perception of the world.

They may have been beaten as a child. They may have gone to one of these Catholic schools like I went to where it was just absolutely crazy. So when you look at a human being's decision process, there's not a structured methodology to arrive at a decision.

It's the society that will determine, is this person crazy? Is this person extremist? Is this person okay? And safe? Because her theory is just making them make a decision that makes no sense, but the community likes it and accepts it.

When you get into cognitive learning, it means that you're going to be digging down through the layers of decisions you made in the past to generate a brand new decision based on your level of awareness. When you made the decision. And once again, I'd [00:26:00] love to add in, for those that are listening, the fundamental difference at this point in history is that the bots, the algorithms, don't have the flight and fight response. So they're not looking to dominate, they're not looking to hit, they're not looking to They're not feeling that they're being oppressed because they were hurt when they were five years old in school.

They're going down through layers of data and making an informed decision based on rational thought and that's where cognitive learning is going to bring us to a place that I don't think a lot of humans can even see yet because if you go to a brainstorming session in a company. When you look around the table, you don't see brainstorming, you see a theory called dominant theory and herd theory combined, where the humans, the crystalloids they're called that are in the brain, [00:27:00] they're little tiny crystals, something called mirrored neurons.

Every human being around the table is trying to auto focus, they're trying to synchronize And subconsciously, we're trying to figure out who's dominant, who's the alpha, and where do I fit into the rankings so I'll know when to speak, not when to speak, not get kicked out of the conversation, not get laughed at, not get treated as stupid, and feel important, intelligent, understood, recognized, and seen. Take all that out of the equation with Cognitive Learning.

Jeffrey Feldberg: And so let me ask you this because it sounds incredibly exciting. The critics of, we won't use the word artificial, of the intelligence movement that's going on now, they're saying, Hey, it's early days. Everyone has this kumbaya, this very utopian view, and they'll use a very primitive example, perhaps go back to the early days of the internet when it was just getting going.

And yes, it was goodwill and people were helping people and lots of good things going on. But [00:28:00] then big corporate got involved and from the big corporate, how can we drive profits and decisions were being made that were good for the corporations, not necessarily good for the average user out there.

And the same critics go on to say well, the same thing will happen when it comes to this intelligence where. Big companies are already in it now. They're spending gazillions of dollars and there's more startups that are coming into the scene every day as we speak, that what's going to drive them is the profit for the company, which means that the models behind the scenes, the intelligence behind the scenes is geared for profits, but not necessarily for the good of humanity.

And that's, what's going to shape society. So what would you answer to that?

Earle G. Hall: I have three distinct answers, but let's make no mistake. The reason why you build a corporation is to make profit.

Jeffrey Feldberg: Correct.

Earle G. Hall: And one of the side effects of profit is corporate responsibility. So I'll have to come back to that one. I just wanted to put that one in there [00:29:00] right away. Because if you're a corporation that doesn't want to make profit anyway, we know what happens to those.

They get government grants. I had to throw that in there for

the fun of it. 

Jeffrey Feldberg: sad but true. I'm with you on that.

Earle G. Hall: So, the point, I think it's the most important to understand there's, number one, to take a second dig, because that's what I love to do. I love being from Newfoundland. I was born with the most cynical sense of humor you could ever have. The critics are sitting in the passenger seat with a play steering wheel and a fake horn.

Jeffrey Feldberg: Okay.

Earle G. Hall: So, I kind of laugh at the critics because instead of. Coming up with collaborative intelligent models to think and how we get past this.

Jeffrey Feldberg: Huh.

Earle G. Hall: They're just criticizing where I'm so proud of the large corporations right now because the only analogy that I could give you is one that I used on a speak engagement that I just, came from.

Where, if you could [00:30:00] imagine, in the Second World War, that the Nazis were trying to destroy the planet and take it over,

Jeffrey Feldberg: Huh.

Earle G. Hall: and the United States had to take the unfathomable decision to drop a nuclear bomb.

Jeffrey Feldberg: Sure.

Earle G. Hall: I am sure that there was, nobody thought that was a good idea. It was the least, worst, horrific idea in history.

I've been to where they were dropped, and there's a no compute in every fiber of my human being that decision was made, if that makes sense.

Jeffrey Feldberg: Sure.

Earle G. Hall: But it had to be done. The only analogy I can give you for AI is that every single human being on the planet holding in their right or left hand With AI on a smartphone, with access to the internet, is holding their own [00:31:00] personal nuclear.

Jeffrey Feldberg: Really a lot of meaning in a few words. So for the average person, Earl, they're hearing you, okay, in my smartphone, it's my own personal nuclear bomb. Can you expand on that for us in terms of some practical kinds of things? We can our mind will race to think, okay, I kind of get what that means, but,

Earle G. Hall: you could have two 14 year olds sitting in a basement in Guatemala,

Jeffrey Feldberg: Sure.

Earle G. Hall: with two iPhone 6s, if you remember what those were like a hundred years ago, with ChatGBT sitting on top of them, if it's compatible with that era. And they can actually ask the right questions and do the right things to figure out things that you're not allowed to figure out in the normal world.

You can have a PhD student that can map out onto the internet to manipulate a DNA code and create a virus. And just spread it all over a local store for a new type of weaponizing [00:32:00] of information. So, chat, GBT, and I always use that word like I would use Kleenex or something else like that, but AI gives us the ability to have a level of intelligence that may Far surpass our awareness, our education, and our ability to comprehend our actions.

It's like as if I gave a AK 47 to a six year old in a shopping center that was loaded. And I expected them to have the awareness to not take the safety off because they might kill 50 people.

Jeffrey Feldberg: Sure.

Earle G. Hall: the power of what the human has in their hands since it went into the App Store is absolutely excruciatingly stressful to no point for me because we're at the moment now that all my childhood nightmares were saying that we would arrive to.

Jeffrey Feldberg: And so, Earle let me ask you this, because the [00:33:00] genie's out of the bottle. This is not going away. It is here. And you're right. It's in the palm, literally, of everyone's hands all around the world. And to your earlier point, where you said incorrectly, so listen, if you're a corporation, the premise is you're going to be in business to be in business.

You're going to make a profit. And that AI or the intelligence or whatever we'd like to call it. It's going to, in large part, depend on corporate governance of doing the right thing, yet I know there's people out there that are saying hold on, just wait a minute. If I look to the titans of business, and we don't have to name names, you all know who they are.

If we look to the titans of business, even in the past six months, 12 months, 18 months, Their track record, they would get an F for failure on corporate governance of doing the right things. They're breaking all kinds of laws, they're doing the all wrong kinds of things, sharing data that they shouldn't be doing, activities that they shouldn't be doing, listening in on us in the name of the profit and the profit being P R O F I T, that profit.

So with that said, you know, there's a school of thought [00:34:00] that goes along and says if that's the case, humanity has no hope. That our greed, the ego, the drive to become the biggest and the best and the most profitable. If that's going to be the case, then we're almost done before we've begun. And again, I'm overemphasizing, perhaps I'm being a little bit overly dramatic here, but someone who's been in the thick of things now for nearly two decades with your background, with what you've seen.

I mean, big picture, Earl, what's your narrative? If we were to fast forward 10 years, 50 years, a hundred years, what does that look like?

Earle G. Hall: It's like anything else that I've seen in my lifetime and my study of history. Phase one is always profiting, corrupting,

Getting an edge, going way past any ethical barriers. And then two things happen. Governments do their thing. And you'll see, like, we've already seen the European Union is getting very loud on this.

I'm very proud of what Canada is [00:35:00] doing and starting to get loud on this. But you also see a subset of industry going, hey, you know something my mom brought me up to be a good human being and I don't feel comfortable about this. I think we should put some policies in place. And then you see organizations and associations show up. A caveat.

Jeffrey Feldberg: Mm

Earle G. Hall: Before I was elected as the chairman of the International Gaming Standards Association, which is the governing body for standards worldwide in our industry, I made it very clear to the members that one of the basic premises that I would be... Reaming out of the gate would be an ethical AI committee, a manifesto that all of the member organizations would have to sign, that put a very clear line in the sand of what they believed in, what they were scared of, what they were going to do to uphold the highest ethical standard, use this [00:36:00] infinite weapon of good.

So, if you look in other industries, like the order of engineers, if you look in aeronautical, right now, because of the fact that we've got our first lap around the track, we've got our first year with commercially ready, available AI, we're seeing all kinds of crazy stuff all over the place, you're seeing the good emerge.

The police, the bad. Will you have the dark web of AI? Of course you will. Will we be going to AI generated stock market crashes? Of course we will. Will we be going to AI generated satellite sabotages? But if we go back in the old days, when we went and bought a computer, like, 1996, if anybody is that old. And we had to sit there, and we had, like, these two sets of cassettes, if you remember, like, three quarters, and one was McAfee, John. If we remember McAfee, and if you remember Norton, and you had, and it [00:37:00] wasn't Tim Horton or Tim Norton, it was, we had these two cassettes, we're going, how do we percept ourselves about somebody coming into our computer?

The cool thing about evolution is that nothing changes, it's just the language, the tool, and the awareness changes. But there is no difference looking back at the technology in Egypt, and the technology today, and the technology of tomorrow. It's all about the level of awareness, and... I firmly believe that the humans will always step up to police the bad, and if they don't, it will be a catastrophic effect within a millisecond, and we'll be all gone.

But just to jump into the neuroscience world for a moment, when a human being doesn't run on 7. 1 to 7. 2.

In other words, they're eating a lot of sugar, they're [00:38:00] not drinking a lot of water, and they don't know how to breathe properly. They're running on a lower pH, they're running in an acidic body.

They're automatically a negative human being with negative thoughts. They're always worrying, they're always criticizing, and they're always seeing the glass half full.

Why? Because chemically, you cannot think positively.

That is a scientific truism, not negotiable. So, the thing is if you take that and you transpose it into the AI world, AI has a much better chance of thinking neutral and positive because it doesn't have the chemical effects of food, water, and no oxygen.

You

Jeffrey Feldberg: So let me ask you this, let's now combine the two, because I heard two different narratives at different points in time. You said when you were working on the movie, The Matrix, doing the animations and the graphics, you said to yourself, my goodness, the nightmares I had as a child. They're absolutely realized this is going to happen on the one hand.

[00:39:00] Then on the other hand, you're saying for humanity, good at one point, always triumphs over evil. And right now we're putting in the mechanisms, the committees, the oversight, the ethics that AI will be. Use for the right purposes, despite the fact that there'll be, we'll call them rogue players that are doing their own thing for their own profit, not necessarily in the best interest of humanity.

Which of those two narratives, best guess is going to win out, do you think, when all is said and done?

Earle G. Hall: have no idea how I appreciate that question because the answer I'm going to give, I've never been able to say it in public before. When I travel in places like Guatemala, when I travel in certain parts of Eastern Europe, when I see the atrocities going on in Ukraine, then I come back to the apex, the tip of the, top of the pin that's called Canada, and I'm mentioning Canada specifically.

We live in a country that's [00:40:00] so good, so peaceful, so clean, so safe compared to the rest of the planet that we have completely lost our reference point on good versus bad, black versus white, evil versus whatever. So the thing is... What I'm so grateful for with those nightmares and seeing the movie Matrix and co relating all of the risk that is involved.

Like if I asked you to drain your car battery into a bowl, you'd be very careful because the car battery could literally gnaw off your arm. But it's the same thing with AI. If we don't have a perspective On the infinite negativity of the bad, there's no way that we can be soulful and mindful of constructing the good and creating the barriers because when you get too far into the good You forget about the [00:41:00] reference of the bad, and then something catastrophic happens.

So, for me, know there's a dichotomy in my speech, but for me the gratefulness or the recognition that I have of my fear of the bad,

That's what drives my quest. To ensure the guardrails are in there, because if we go over the cliff, it's not 10 feet, it's 10 million feet.

Jeffrey Feldberg: Sure. And we can only hope that this ying and yang that you're talking about, and I appreciate that, you can't appreciate the good if you don't know what bad or evil is and vice versa. You don't know what's light if there's not dark, and that you need the two to, in some weird sort of way, to balance each other out with hopefully the good, the light, the pure, you know, whatever.

We're winning out when all is said and done at the end of the day. So it's a interesting answer to what seems like a simple question, but many layers and very complex, you know, it'd be interesting when the [00:42:00] intelligence gets to that IQ level of 3000, what that answer would be and what that would sound like and what that would look like.

You know, Earl, we could go on in so many different directions and I really would love to. Sadly. And very much, unfortunately, we're bumping up against time. And before we go into the wrap up question, here's a question for you. Are there any questions that I didn't ask, and I know there are, and are there any topics that we didn't talk about that you'd like to share with the listeners putting your point of view out there or something for them to think about?

Earle G. Hall: I would absolutely love to answer one question that you didn't ask, because I don't get asked it enough it's, what do I attribute my success to? And there's a list of people, and I really encourage everybody to do this, because I'm not a successful person. I am a product of the people that have coached, [00:43:00] mentored, and believed in me, whether I thought it was positive or negative at the time, that's just perception and ego, but I'm a product and I have the responsibility to carry on.

All of the faith, hope, and belief that people have had in me, and I have what I have, and I am who I am because of all those people, and if any of them ever listen, I really hope and pray they know who they are, because I never get the chance to speak about them enough in public, but I carry them with me every day, like a little treasure chest I bring up their thoughts, I bring up their words.

One of my bosses always said, when I take out my pen, my job is done. So when I take out my pen, I always have like a little tear of my eye and I remember 'em. So I'm so grateful for the life that I have because of the [00:44:00] entire posse that have built me to do what I'm able to do today, if that makes sense.

Jeffrey Feldberg: Well said, and it just reminds me of my own personal belief. No one person is an island unto him or herself. It's a community of people. I really, I look the other way when people say I'm self made. In fact, I run in the other direction as fast as I can because no one is self made. We all stand on the shoulders of giants.

To get to where we are. And as you so eloquently shared, it's our responsibility. I'll take it further. It's our duty to pay that forward, to help other people along the way, become bigger and greater and change humanity in bigger ways than we ever could have. But perhaps in some small way, we can be a little ingredient in that person's journey and success that they can then pay it forward and move on.

So, with that said, let's go, unfortunately, into wrap up mode, and perhaps there'll be a continuation at another point in time with this, but for the wrap up question, it's a thought experiment. It's a fun one. Let me set [00:45:00] this up for you. When you think of the movie Back to the Future, you have that magical DeLorean car that can take you to any point in time.

So, Earl, the fun part is tomorrow morning, you look outside your window, car there curbside. The door's open. It's waiting for you to hop on in what you do. And you're now going to go back to any point in time. You can go back to Earl as a young child, as a teenager, whatever point in time that would be.

Earl, what are you telling your younger self in terms of life lessons or life wisdom? Or, hey, Earl, do this, but don't do that. What would that sound like?

Earle G. Hall: Oh, that's so simple. Stop worrying. Tomorrow is always a better day and trust the process. It's the most simple, simple, simple thing. We spend our entire day worrying about tomorrow, which we have no control over. But if you get present in the moment, if whatever you have to do is a task, whether it's tie your shoes or climb Mount Everest, Put your soul into it, and when you wake up the next [00:46:00] morning, every day is a different life. It's the thing that I've only learned this year, and when I look back at my entire life, I could have taken out 30% Of all of the anxiety that I've lived, just because of the fact that I wanted to produce tomorrow, today, instead of producing a better day today, so that when I went to bed, I could look back in gratitude and even a little bit of recognition of what I did. If that makes sense,

Jeffrey Feldberg: It does make sense. It's very profound. It's a lot to think about. And as we wrap things up, Earl, so much wisdom that you've shared. I really appreciate that. And just being open and vulnerable. If a listener has a question, they want to learn more. They want to see what you're doing in the gaming industry and with AI or in your entrepreneurial pursuits.

Where would be the best place that they could perhaps read about you or even reach out to you online?

Earle G. Hall: I love it when people reach [00:47:00] out, as a matter of fact, but the only place that I hang out on this planet, for security reasons, is LinkedIn. So I'm pretty vocal on LinkedIn because the stressful part about knowledge is you have the profound responsibility to share it because you don't own it. So I hang out on LinkedIn. It's my virtual coffee shop. I'm there. I'm easy to find and I'm easy to approach.

Jeffrey Feldberg: Terrific. For listeners, it won't get any easier. It is a point and click, go to the show notes. We'll have all the links there for you. It doesn't get any easier. Earl, it's official. This is a wrap. You know, perhaps the next time that we meet up, we'll have our AI selves speaking to each other and it'll be one of those AI podcasts.

Who knows? We'll see where all this

Earle G. Hall: I truly hope so.

Jeffrey Feldberg: But as we love to say here at Deep Wealth, may you continue to thrive and prosper while you remain healthy and safe. Thank you so much.

Earle G. Hall: Thank you very much. I [00:48:00] appreciate it. 

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Jeffrey Feldberg: Are you leaving millions on the table? 

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