Dexter Nelson Blog

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Tag: AI framework

  • Lets Talk About AI – Framework and Philosophy (Part 3) [2]

    Lets Talk About AI – Framework and Philosophy (Part 3) [2]

    In this second segment of Part 3, I move from theory into real-world application. I explain what an ontology-first AI framework actually looks like when it is deployed, and how grounding AI in identity, purpose, role, and governance can change how decisions are informed.

    Through concrete business and social examples, this video explores how AI can reduce negative bias, increase trust, and help people and organizations make better decisions without replacing human judgment.

    Part 3 https://dexternelson.com/lets-talk-about-ai-framework-and-philosophy-part-3-3/

    Transcript

    00:00:01
    Okay, welcome back. And here’s part two. Now, I just talked about um getting rid of negative biases and using AI in a different way to inform and help people make decisions by removing negative biases and having it tell the truth. And I did it in a way that where I gave my AI an identity, a purpose, a role, and grounded it in a higher in a higher governance that it has to listen to. And that’s outside of the model. So what does that look like in real life? Um, I’m going give you a couple examples.

    00:00:40
    Um, two of them will be corporate because I did build this for businesses first. Um, and then one will be a social example, right? So the first one is imagine a company with that’s losing money, right? They have three amazing products and they’re selling really well, but they’re losing money and they can’t figure out why. So they put my framework in there. It pays attention to the company. It learns their habits. It learns their processes. It takes data from their sales. And it really learns

    00:01:18
    their company. It really integrates into the part of the company. And when you’re talking to it, it determines that well, you can actually improve your products and serve your customers better. If you get rid of two of those products and you make these changes to your core product and it’s not, you know, if somebody if I were as a consultant walk into a business and I tell people, hey, you need to drop these two products and do this to your main product. There’s a whole level of resistance that comes in.

    00:01:54
    They’re like, well, who are you? What are your credentials? Who you’re working for? Why should we listen to you? um this we’re making $20,000 a month with these other two products and we can’t lose that. Um we need to figure something else out and there’s this whole wall of resistance. But if you’re talking to an AI that is serving in the best interest of the company, it can tell you it’s like, hey, you need to get rid of these two products and you need to make these changes

    00:02:24
    because that will actually give you give you the results that you’re looking for. So they don’t argue because it’s informative, it’s nonbiased, and it’s what’s in the best interest of the company. So they make it based on that decision. And so they do it, they lose $20,000 a month because they drop those two products and but they make the changes to the main product and all of a sudden their profit goes up by $60,000. Suddenly they’re making $40,000 a month more off of one product simply because they

    00:03:00
    dropped the other two and they’re no longer in the black. Um they’re no they’re no longer in the red, they’re in the black. They’re making profit, right? That’s just one example of how it can work. Now, yes, it’s hypothetical, but you know, it’s the same thing I’ve seen that I’ve actually done for other companies as a business consultant. Now, here’s a situation, another corporate example where morale is low, productivity is suffering. Um, typical consultants say, well, you need to

    00:03:30
    create corporate culture, you need to have more parties, you need reward systems to get morale up. And these things actually work, you know, because they’ve worked before. But, you know, what if you already have all of those and morale is still low? What if you looked at AI again? It paid attention. It learned the company. It learned the culture and learns what happens. And it says, you know what? Morality is suffering because people are worried about things at home. They’re worried about how they’re going

    00:04:05
    to pay their bills. They’re worried about not having insurance. They’re worried about um what if they lose their car. A lot of people are worried about, you know, other expenses where they’re going to get groceries. Some your people are not food secure. Um if you really want to reverse, if you really want to increase your morality and your production, how about you give your people a pay raise? Give them all a pay raise across the board by about four or$5 dollars an hour. I see what that

    00:04:30
    does. And suddenly it’s not like you’re you’re not having this wall of resistance. Well, this is morally wrong. They’re in a contract. This is what they agreed to when they came to work. Um this is quote unquote woke. Um this is socialism and you know the whole political, socioeconomic arguments come in. But again, because this is AI serving in the best interest of the company, you do it anyway because you trust it. It’s informative. It doesn’t lie to you. doesn’t negotiate. So, you

    00:05:03
    said, “You know what? Let’s do it.” And all of a sudden, the pay raises go out and all of a sudden people aren’t worried anymore. They can focus on the job. They’re getting productivity up. And they’re doing this. And AI suggested that because it’s been proven that when people don’t have to worry about money, their productivity on the job increases. So, all it’s doing is taking us back to a time when we put people first. And it made the suggestion based on research,

    00:05:32
    based on analysis, based on patterns, based on observation. It’s learning. And its sole purpose is well, I want to help you make bias-free informed decisions. So this is how I can inform you. And you know it’s loyalty because it’s loyal to the domain. So you tend to trust it and you just kind of go along with what it says and try it. Now, we’re not saying it’s going to replace decisions or decision- making. We still need humans for that. But at least we’ll be informed from a place that’s bias

    00:06:07
    free, right? Or free of negative biases. And we’re doing it for what’s right for ourselves, what’s right for our company, our homes, our family, our friends, our domain. Um, now here’s one that’s here’s a third example um regarding society. And let’s talk about the climate. A lot of people are not having families because they’re worried about the condition of the planet. What if we had um an AI platform that analyzed all of the data? What’s true? What’s false?

    00:06:44
    What’s hype? What’s just branding? What are people’s fears? And it determines in an informative, knowledgeable, bias-free way, hey, people are worried about the climate. There is some actual evidence that we are making the planet the climate worse. We’re seeing the results from it and we need to reverse it. So instead of doing all these other things, let’s just invest, you know, you know, let’s invest $50 million a year in some initiatives to uh combat climate. It starts reversing. All of a sudden,

    00:07:25
    people aren’t worried anymore. They start having families. The air quality is better. The water quality is better. Um suddenly, you know, people are starting to feel a whole lot better. They’re getting less sick long term. Um, so their prospects and the outlook changes and all of a sudden we’re dealing with it. Not because it’s some mortal or righteous crusade, not because it’s, you know, some religious or faith-based belief, but it’s something that that needed to happen, right?

    00:07:58
    simply because it was the right thing to do and it is in the best interest of ourselves, all of humanity and the planet. That’s it. It’s in our best interest and we’re informed. Um, and it turns out we’re I’m going to have to make a part three to this because I’m on nearing that that 10-minute limit that I put myself on. Um, I think that’s a limit on platforms, too. But I’ll be right back with part three.

  • Lets Talk About AI – Framework and Philosophy (Part 3) [1]

    Lets Talk About AI – Framework and Philosophy (Part 3) [1]

    This video marks the beginning of the third and final phase of my discussion on AI, where I move from theory into architecture.

    After covering automation and civilization-level impact in the previous videos, I now explain why I believe AI must be built with an ontology-first priority.

    In this first segment, I outline how survival-driven bias shapes human systems, why information itself needs governance, and how grounding AI in identity, purpose, and role changes what it can responsibly do in the world.

    Part 2 https://dexternelson.com/lets-talk-about-ai-framework-and-philosophy-part-3-2/

    Transcript

    00:00:01
    Hey, what’s up everybody? Happy Thursday. Um, almost to the end of the week and yes, I am tired. It’s been a very busy week. I’m a little low energy right now. Um, which is typical for first few weeks out of the year running a tech company. Um, there’s new updates, new threats, new standards to adopt. Um, a lot of things to close off from the year before. So, I have a I’ve had a long week. Um, busy week and tomorrow is probably going to be a very busy day, but I’m kind of

    00:00:40
    looking forward to the weekend. I’m probably going to sleep 12 hours straight. Um, anyway, I’m going to try and be quick here because I am so tired. Um, this is part three of my talk on AI and my framework and philosophy behind what I built. Um quick quick recap part one I talked about um automation and how AI doesn’t replace jobs. Employers are replacing jobs with automation and AI is just the next tool for automation which actually turns into be a which turns out to be a problem um because of the

    00:01:16
    significance of AI and what it does um or I should say the potential of it because we don’t actually have true AI yet. We have very smart, very advanced search and retrieval um with very limited cognition. And then my second video, I talked about the opportunity that AI has for us as far as a civilization goes and how we can begin the process if it used if it’s used correctly to go beyond operating on survival to start moving towards a new type of economy where everybody’s basic needs are met. But there’s still room

    00:02:01
    for people to profit, to grow, to start businesses. Um, one of the things that the United States did and did really well was that we raised the standard of poverty in the country, right? So, our poor is wealthier than most of the poor in other countries. We raise that standard. AI is giving us an opportunity to raise that standard again where everyone’s meet everyone’s need uh food, shelter, security and housing on a basic level are met. So no more homeless, no more um people going hungry. We have an opportunity to fix

    00:02:41
    that if AI is used correctly. And the new economy would allow people to benefit, profit, grow, raise their standard of living based on their contribution to society and not just the purely how much can I get paid for driving profit. Um, the way that I do that, the way I’m working towards that is by changing how we use AI. Currently, it’s being used for profit. um and is just being used as another great tool to automate processes. But it’s it’s happening in an economy where capitalism has shifted from the core

    00:03:25
    idea that you know we create the highest quality products at the lowest possible cost while paying the highest wages. We’ve we’ve shift we’ve shifted capitalism from employees and people first to turning humans into assets and we have an opportunity with AI if used correctly to change that back. Um but it does require us to make uh some changes in the way we think, the way we operate. Now, I’m not naive enough to think I can change the way people think on a massive level. I think I said that in the last

    00:04:06
    video. But what I can do is create a system or a tool using AI to change the way we are informed. Right? So, one of the things I want to do is help us get rid of the negative biases that um are built on survival. The biases that tells us whether someone else is deserving or not because, you know, they didn’t work as hard or they don’t look like me or they don’t think like me or, you know, they don’t agree with our group so they don’t deserve what we have. that type of negative biases that

    00:04:45
    we have or the core belief that in order for us to win they have to lose. We need to get rid of those biases. Um a good example of that is um something that I read. I don’t know how true it is though I think it is based with some grain of truth. You know how the internet changes things, but it was of a college professor who has a really really hard exam and accounts for a large portion of the grade and it’s notorious because not a lot of people actually pass it. Um the vast majority gets D’s. Um several fail.

    00:05:23
    The average is a C average. Um, and every once in a while you’ll get like one person out of like a hundred that gets an A and a few people that make a B, but everybody else falls below the average. So, what he does is a little experiment where he holds a vote and each class if they vote for if they vote yes, then everybody across the board gets to be and everybody passes and everybody gets to move forward. But in all the years he’s done that, apparently it’s never happened because there’s always a few people that

    00:06:02
    feel they can do better, that they feel other people aren’t deserving because they didn’t study as hard as they did. So, you know, it’s really a survival thing where they would rather fail themselves than see someone else who they think doesn’t deserve it pass. And you know that’s the kind of bias that we need to actually get rid of. Um and what I want to do is I want to use AI to create an AI aware society that’s built um an an ontological first priority. Um ontology not oncology with

    00:06:42
    a t um being the study of being. So what I did was I gave it an identity and I gave it a purpose and a specific role. Um, and I answered it and I grounded it in a worldview with origin, meaning morality and destiny. Um, and then I gave it a higher level of governance so it doesn’t do things like hallucinate or lie. Um, it doesn’t blindly mimic, it doesn’t become your cheerleader and just agree with everything you say, which is what happens with typical models. Um, and the purpose is really simple. The

    00:07:18
    purpose is to serve in the best interest of the domain in which it’s in um or which it’s a part of and the role is very specific. It’s to inform with meaningful and informative conversations that are free of negative biases. So it becomes a source of information to help people do it. Um and what I’m going to do is I’m going to make a part two to this video. Um, so I will be right back.

  • Lets Talk About AI – Framework and Philosophy (Part 1)

    Lets Talk About AI – Framework and Philosophy (Part 1)

    AI is surrounded by a lot of hype, noise, and even fear. In this video, I take a step back and talk about AI in a grounded, practical way, discussing what AI is, how it is being used today, where it is heading, and what you can do right now to stay ahead of the curve.

    This is the first part of a three-part series where I begin explaining the AI framework I created, the philosophy behind it, and what it could mean for the future.

    Transcript

    00:00:01
    Happy Friday, everybody. Um, I hope you all had a good day. I hope youall had a productive day. I know I did. Um, I got some rest. My skin looks a whole lot better than it did yesterday. So, that’s a win. Um, but I also got up and I went to work and, you know, I got a lot done. Nothing new or amazing. It was just a regular day of getting my responsibilities taken care of for my clients and for myself. So, it was a good day. It was not a wasted day. And I’m happy about that. I feel good right

    00:00:30
    now. Um, today I want to talk about AI. Um, and this is going to be a three-parter. There’s just so much to talk about. Um, I want to talk about AI and the philosophy behind building my AI framework. As I mentioned that, um, I spent the last year developing and launching an AI platform uh, from scratch. Um, and it actually goes into production into beta format on January 15th. Um, as a commercial beta, but you know, over the last year, a little over a year, I feel some pretty tough questions about um AI. Um, some were

    00:01:09
    people were genuinely interested, others were, you know, fearful of what it might become. Um, but before I go into that, I want to point out two obvious things. Number one, this little desktop fan is going that is keeping me cool right now. Mostly because my metabolism is racing right now um on my health journey. You know, my metabolism is very high and certain parts of the day I sweat a lot. Which leads to the second observation. My hair is down. Um, that’s because when my metabolis metabolism races, I get very hot and I

    00:01:52
    just start sweating. Um, so my scalp sweats too. So I usually let my hair down and let the fan keep my scalp cool. Um, yeah. So remember your scalp is skin. Take care of your scalp. Um, so that said, um, back to AI. Um, I want to talk about it in a responsible way. I want to inform um I want to avoid a lot of the marketing hype or maybe resolve a lot of that. But, you know, I also want to be sensitive to certain um economic realities that are happening right now. But before I can explain my philosophy

    00:02:32
    behind AI and building it, I want to talk about two things. And they might sound like hot takes, um, but I don’t want to freak anybody out. Um, so number one, I’m just going to say it. AI does not replace jobs. It replaces tasks. And I’ll come right back to that. And second, you, me, we, us, we all need to realize that we are on the verge of collective shift in the evolution of human civilization. Um, and it’s going to require a new type of economy that has never existed before. Um, not even a

    00:03:07
    little bit. You might have seen it. Um, but they might sound like hot takes, but I want to address them and kind of bring it back around. So, let me pull that first thing out of the air. AI does not replace jobs. It replaces tasks. Now, we are in an economic reality where a lot of the talk is that, you know, jobs are being replaced by AI. No, they’re not. No, they’re not. What we’re seeing is jobs are being replaced by employers who are automating tasks. All right, that’s a very important distinction to

    00:03:44
    make. Now, jobs are being replaced by employees who are automating tasks. Automation always removes tasks, not entire occupations. All right? So, calculators did not eliminate mathematicians, right? Word process, word processors did not replace writers. Uh, spreadsheets did not replace accountants. I can go on and on and on about this. What usually happens is that repetitive low value tasks, they usually get absorbed by automation. But here’s the thing, that is progress. But automation doesn’t remove

    00:04:29
    doesn’t remove the entire occupation itself. Progress may eliminate roles but usually what happens is that humans move up the tier of progress into new roles that are created by it. So for example um let’s 60 years ago we had huge assembly lines with hundreds and hundreds of hundreds of people. progress the automation. It eliminated those tasks, but we still needed people there. We still instead of hundreds of people on an assembly line, they’re now a few key dozen people or so that they manage, they oversee, they

    00:05:10
    repair, they maintain, they plan all of it. So, you know, those repetitive tasks gets folded up, but it always creates more opportunity. And a lot of companies right now are learning the hard way that you can’t completely replace human beings. Um, automation is a leverage, not a replacement. And just like those assembly lines, humans move up the ladder of progress, not down it. Um, we move from execution to oversight. We move from labor to architecture. We go from doing things to deciding things.

    00:05:50
    And as I said, as companies, as I said, companies are finding out the hard way. You can’t replace humans entirely. Not with automation. You still need things that are uniquely human. You still need judgment. You still need review. Um, you still need intent decision- making. You still need expertise. All of those things and more are uniquely human and will always be needed. Um, and while there are some initial job losses to automation, they’re more like growing pains and not injuries because the arc of progress usually

    00:06:26
    creates more opportunities than that are lost. It’s a net gain economically. And the problem is that we as humans, we tend to get stuck in our current state and we don’t want to move up that tier. Well, that’s something that we need to change mentally. Um because right now as as of last year 2025 there are more than three million jobs available in STEM fields and growing. STEM if you’re unaware means science, technology, engineering and mathematics. Um and as we move towards AI, those repetitive

    00:06:59
    tasks are going to get absorbed but the demand for the expertise um is only going to grow. Um, so that’s it. I want you to think of AI as another automation tool. Um, because right now that’s where the focus is and in the foreseeable future that’s how it’s being used um more as automation. So don’t freak out. I want you to make that mental shift and start using this using this as an opportunity to get ahead of the shift that’s coming because it is coming. Progress always

    00:07:31
    happens. Um, as long as the drivers of our economics are always advancing, regardless of government, regardless of who’s in power, regardless of whatever laws are in place, advancement happens, right? It just happens at a different pace. You can slow it down, but you can never stop it. Um, so don’t freak out. Um, right now it’s just another automation tool. Um, you know, musicians didn’t go away because music per music creation became digital. you know, it’s it’s just one of the things we’ve always

    00:08:03
    had to deal with. That said, if anyone wants to um wants to take that seriously, um I will begin posting um places where you can actually get the education that’s necessary that’s necessary for you to make that advancement, to make that leap for free or cheap. A lot of places are offering it that way just because there is such a need, there’s such a demand for it. That’s only going to grow. So, I’ll start posting those on my site at dexternelson.com. Um, nothing’s there right now, but um

    00:08:39
    there will be. And wow, we’re almost at 9 minutes and excuse me while I wipe my nose. Um, I what I’m going to do is I’m going to It’s already nine minutes. I’m going to pause the video here or stop the video here and break this up into three parts. Um, today was talking about AI replacing jobs. The next point is going to be the anthropological um going to talk about the collective shift and the evolution of human civilization. That’s going to be deep. That’s going to be a fun topic. And then

    00:09:15
    in the third video, I will uh bring points one and two together today about AI replacing task not jobs. the anthropology of evolution of our civilization and you know I’ll bring those together to actually talk about the philosophy which is what I call ontology first AI that’s going to be a fun talk but yeah if you guys are interested go ahead and subscribe um either here or on my blog at dexternelson.com I’ll post those resources I’ll try to get it done in the next day or two um

    00:09:50
    but um Yeah. So, I guess I’ll see you guys in our next video.