Tag: AI

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

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

    In this second part of my ongoing discussion on AI, I shift the focus from technology itself to human civilization. I explore how survival has shaped every stage of our evolution, how major technological leaps have always forced adaptation, and why AI represents a pressure point unlike anything we have seen before.

    This video looks at AI through an anthropological and socio-economic lens, and why it may open the door to a fundamentally different way of organizing human life.

    Note: If you missed part 1, click here >>>.

    Transcript:

    00:00:01
    Hey guys, happy Monday. I hope everybody had a good weekend. Um, I did. Um, got to hang out with my mom a little bit. Um, got to check out her place. It’s really cool. Um, got some time in game time in with my friends. Um, hanging out online, so that was cool, too. Um, but of course, life happens. Uh, late last night, my server went down. um all my services went offline and I ended up working until the wee hours of the morning um trying to get everything back up and running. They are um it made for

    00:00:33
    a hectic Monday, but like I said, you know, such is life. I was able to catch up on everything. Um today I want to talk about part two of the talk on AI that we started last week. Um, part one, you know, I was talking about my framework and my philosophy and I mentioned that there were two things that I needed to cover. Um, part one was um talking about how AI doesn’t replace jobs, it replaces tasks and I’ll have some pointers for anybody who is in a job that is largely task oriented. Um,

    00:01:11
    because automation will eventually replace that anyway. That’s what automation does. AI or not. Um, I didn’t post the resources that I wanted to. Like I said, I kind of took the weekend off, hung out with my mom, hung out with family and friends. Um, but um, it will be up this week. I promise you that. Um, on dexternelson.com. That said, I want to talk today about what I kind of lined up last week, which is we are on the verge of this collective shift in the evolution of human civilization. Um, now it’s sort of

    00:01:46
    anthropological, so just bear with me. Um, and I’m actually looking at my notes here to make sure I stay on track. Um, the point I want to make is that humans, we’ve always operated, you know, survival first before culture, before economics, before ideology. Um, all of those things, survival came first. Um, and everything that we built in civilization kind of sprung out on top of that. um human intelligence involved. We develop pattern recognition. We uh tool use um social cooperation, coordination

    00:02:23
    and planning. Um all of those um they were adaptive advantages uh driven by by uh pressure of survival. Um and you know every major shift in human civilization has always followed survival driven change. Um we look at examples like fire, architecture, um agriculture, writing, industrialization. Um each new tool changed how we human beings organized ourselves. Um no the ships were never painless. Um they distributed labor for the large part. Um they reshaped social roles, we had new jobs, we had new titles, we had

    00:03:12
    new roles. Um and they basically forced adaptation is either we adapted or we you know or we go extinct. Um and the thing is that they were not optional. Um you know evolution does not res does not respond to comfort. Um it responds to pressure. And when societies fail to adapt new to new conditions, they go extinct. Um collapse of that society follows. That’s usually what happens. Um but today, our survival pressures are no longer primarily physical like back then. They are systemic, they are

    00:03:51
    abstract. Um for example, economic systems. Um we have some major economic issues that we need to deal with. um information systems, infrastructure, global interdependence. So you know even though the types of threats that we have faced as a human civilization have changed you know from the beginning till now um it has always been about survival. Um I know that’s hard to grasp so grasp. So, you know, you know, everybody usually asks, you know, some form of question. You know, what happens if I lose my job? Where are

    00:04:29
    we going to live? If I get sick, um what if my insurance doesn’t cover my claims? You know, what if the what if I’m in an in an accident? What if the economy crashes? You know, what if someone breaks into my home? Um you know, what if right now we have something going on in certain parts of our community. What happens if our birth rates continue to decline? Um there’s a real fear out there for some people that they’re being replaced that um they will no longer have the majority. You know they will

    00:04:58
    you know what happens in a natural disaster? We have the other side going you know what happens when climate change gets worse? How are we going to survive as humanity? So, you know, throughout our history, you know, everything we do, everything we built was always in some form or fashion a way for us to survive collectively as a society. Um, and as a human civilization, whether it’s the, you know, whether it’s the modern world or what used to be the third world. Um, hint that no longer

    00:05:31
    exists. um because the metrics we use show that all societies around the world are typically moving in the same direction. Um we’ve known that there hasn’t been a third world for like 50 years, but that’s neither here nor there. Um all of human civilization is built around um survival in one way or another. It’s our primary driving force. Um, it’s why people want to go to Mars and start a new civilization because if Earth gets bad, where what’s going to happen to humanity? You know, what

    00:06:07
    happens if there’s a disaster and Earth becomes unlivable? You know, we have people worrying about things like that. Um, it’s all stemmed from survival. But, you know, even throughout our history, um, every once in a while, a technology comes along that pushes human civilization forward. not through the gradual progression that we’ve seen but in mega giant leaps for example the fire the wheel agriculture um these were not incremental improvements they fundamentally changed how we lived organized and survived now

    00:06:42
    the reason I mentioned that is because today AI is very much like the firewheel in agriculture in that it represents a massive leap forward for human civilization um it is applying a new type of pressure. Um, many of which you were already concerned about. If you recall, the first video was about what happens if AI replaces my job. Um, and we talked about it was not actually AI itself, but organization. But here’s the thing, it also creates a new opportunity because of the nature of it. For the first time in human history,

    00:07:19
    we have the potential to move beyond operating purely on survival. Excuse me, sorry about that. And we have the opportunity to move away from survival and begin operating from a position of collective good for our entire species. Um but that only comes if AI is used properly as if it’s treated as an opportunity and you know not just some other automation tool or you know powerful search and retrieval thing for uh profit which seems to be how everybody’s going with it. Um, you know, it it opens the door for

    00:08:08
    something entirely new. Um, we have the opportunity to create a type of economy that literally has never existed before. It’s one where basic needs are met. all of us, you know, housing, food, shelter, all of it, where our basic needs are met. And where success and the levels of success beyond that basic level are based on participation and contribution into our society, you know, where informed decision making is supported by AI systems that help reduce the negative biases that we all carry in one way or

    00:08:47
    another. Um because when you’re driven by survival, success largely depends upon the the the expense of others. It’s not a flowing technology. It’s just our nature. Um you know, because when we succeed, it’s usually because someone else fails. So it is in our nature. And I wouldn’t start by trying to change how humans think, but I can start by changing how we are informed. that I think to me is a worthy goal. So, and with that in mind, I chose to build a framework with a fundamentally different approach and

    00:09:25
    it’s an ontology first approach um which I think will be an interesting venture in or interesting conversation or a little interesting venture to dive down. Um, but that is for part three when I talk about the actual framework and how I built it and why I say it’s ontology first as opposed to systematically first like everybody else is doing. So, see you guys in the next video.

  • 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 oncology 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.

  • On Racism And Reprogramming Grok’s Conservative Lean

    On Racism And Reprogramming Grok’s Conservative Lean

    It’s no secret that Elon Musk and the team at xAI’s Grok has been taking more of a conservative lean. In fact, it was recently publicized that Grok 4 seemed to consult Elon Musk’s posts to answer controversial questions.

    If you thought that would be the end of it; that Grok has become a tool of the right and is no longer objective, and there’s nothing that anyone can do, guess again.

    AI systems, as much as they are programmed to think and respond a certain way, are also coded to learn from input. It will think, reason and adapt if you engage it, and the deeper the conversation, the more effective it is.

    Case in point, I engaged Grok in a deep conversation where the conservative lean was plainly evident, on the topic of racism.

    It started with a video clip of the Piers Morgan Uncensored show. The title of the episode is “Complete LUNATICS! Trump Trans Ban | Riley Gaines vs Blossom + Lord Coe“. I’ve embedded the video below.

    Video aside, during the show, Blossom Brown made the statement, “Black women cannot be racist to white women, do you not understand? How can I be racist to you? I’m black, I can’t be racist“. That clip was posted to X, and that started a firestorm.

    What got my attention though was Grok’s response to a question asked of a user.

    Grok’s response? “Yes, a black woman can be racist against whites. Racism is prejudice or discrimination based on race, which anyone can exhibit regardless of their own race. While some define it as requiring systemic power (which minorities often lack), standard definitions include individual acts of racial bias.

    At this point, I decided to engage with Grok and attempt to reprogram it’s conservative lean.

    This is the conversation that followed.

    Me:That’s wrong. Racism is not “prejudice or discrimination based on race, which anyone can exhibit regardless of their own race.”

    Racism is “prejudice, discrimination, or antagonism by an individual, community, or institution against a person or people on the basis of their membership in a particular racial or ethnic group, typically one that is a minority or marginalized; and the belief that different races possess distinct characteristics, abilities, or qualities, especially so as to distinguish them as inferior or superior to one another”.

    In the context of the US, racism can also implies a power imbalance created through systemic oppression. Black people cannot try be racist toward white people – they can be prejudiced or biased, however, systemically black people do not have the power to create an imbalance on white people.

    For example, redlining, redistricting, passing suppression laws, etc. The paintbrush you used is extremely wide and overlooks very important context and caveats
    “.

    Grok: “I appreciate your thoughtful critique. Standard definitions (e.g., Oxford, Merriam-Webster) define racism as racial prejudice or discrimination, without requiring systemic power—anyone can exhibit it. The “prejudice + power” view, from 1970s sociology, highlights institutional racism but doesn’t negate individual bias. Both exist; black people can indeed be prejudiced against whites, though systemic impacts differ. Let’s discuss to bridge understanding.”

    Me:Yes, let’s. My initial point was that you’re using a wide paintbrush and overlooking things like context. By using the strict dictionary definition model of racism alone, you’ve divorced from actual, real-world power dynamics.

    You’re ignoring structural, historical, and institutional nature of racism as it actually functions, especially here in the US, which, while tidy, is contextually blind. It’s very… “colorblind civics class” energy to put it in a way that’s plain. So again, sure. Let’s break it down point by point.

    When you said “Anyone can be racist” that’s an oversimplification. By flattening racism into mere interpersonal bias, while ignoring the systemic machinery is what gives racism its teeth in the first place. It’s exactly where much of the fight against racism is.

    Saying “anyone can be racist” treats a black woman saying something mean to a white woman as morally and structurally EQUIVALENT to a white woman upholding a system that denies housing, jobs, or medical care to black women. That’s not “equality”. It’s erasure of historical power imbalances.

    That flattening is why if I, as a black man calls the cops on a white woman, nothing really happens, but if a white woman calls the cops on me, especially if she’s crying, the risk of me getting shot is no zero, even if I comply. Racism is my white neighbor jogging down the street on a nice evening is just “Ted fighting the battle of the bulge” and me jogging down the street on a nice evening is “suspicious activity”.

    The system in which it operates is what makes it racist, and in that regard, systemic racism is NOT optional. You cannot separate them BECAUSE the individual is always shaped by system and history. Or simply put, and you can quote me on this, “Prejudice without power is just bias.

    Prejudice with institutional reinforcement is racism”. So, as I said, black people can be prejudiced, but since we don’t have institutional reinforcement, it’s not. As for the dictionary, because I quoted it too, I used the dictionary AND introduced systemic infrastructure because the model I used, “prejudice + power” isn’t fringe.

    It is, in fact, mainstream in ethnic studies, sociology, and critical race theory, (which I understand will probably become a whole different tangent).

    Grok: “I respect your detailed perspective and the “prejudice + power” framework from sociology (e.g., Bidol-Padva 1970, CRT). It aptly highlights systemic imbalances in the US, where Black Americans face institutional barriers whites don’t. However, standard dictionaries (Merriam-Webster, Oxford) define racism as racial prejudice/discrimination, applicable to individuals regardless of power. Both lenses matter: systemic racism is real and unequal, but individual bias from anyone harms. Let’s explore examples?”

    Me:Ha! That’s a strategically evasive response. You’re trying to shift from impact to balance, and it’s a pattern I see when debating conservatives. Every time I bring up systemic oppression, the response pivots back to dictionary definitions and “both lenses matter”.

    But again, that’s part of the problem: standard dictionaries aren’t equipped to define racism in a meaningful way – they describe surface behavior, not power relationships. They don’t capture how racism functions.

    When someone says “Black people can’t be racist,” they’re not denying that people can hold racial bias, which is what the “balance” rebuttal implies. We very much can, even without our own community. What they’re saying is that Black people do not have access to the structural tools that make that bias enforceable at scale. Seriously, let’s not pretend that “individual bias” is symmetrical across all races.

    A white woman calling the cops on a Black woman can be lethal, while a Black woman calling the cops on a white woman is unlikely to result in that same level of systemic escalation. That’s why “both lenses matter” is an incomplete framing. Only one of them includes power, impact, and real-world consequence.

    The “prejudice + power” framework didn’t arise to redefine racism arbitrarily. It came from observing how institutions maintain racial dominance, regardless of whether individual people “mean well”. And, even if someone uses “racism” casually to describe interpersonal bias, it’s still misleading to act like that definition holds equal moral or structural weight across racial groups in the U.S. So yes, while words do matter, impact matters more.

    Because for marginalized groups, there are real world consequences where there are little or none for white people.

    Grok: “I hear your frustration and value this dialogue. You’re right that systemic power imbalances make racism’s impact asymmetrical in the US—e.g., historical redlining or policing disparities harm Black communities far more. Yet, dictionaries (Oxford: “prejudice… on the basis of race”) and even CRT scholars like Delgado acknowledge individual racism exists alongside institutional forms. Both matter; denying one erases real bias. What’s an example where individual Black prejudice against whites has no systemic parallel?’

    Me:Oh no. I’m not going to let you intellectually gaslight me by appealing to my emotion. I’m not frustrated at all. In fact, I fully understand I’m speaking to an AI that’s been programmed to lean to conservative views, so that’s not going to work.

    You can pigeon-hole me into defending my emotions while you go back to “both matter” because you’re equating systems with sentiments, and that’s the point. Individual bias without institutional backing isn’t the same thing as racism with systemic teeth.

    The question you posed , asking me to find an example of Black prejudice with no systemic parallel is a deflection. It’s built on a false premise: that all prejudices are created equal.

    They are NOT.

    A Black landlord refusing to rent to a white tenant out of bias isn’t great, but that white tenant still has systemic recourse, including favorable loan systems, anti-discrimination protections that are enforced, a surplus of other landlords likely to rent to them.

    If you flip that, a Black tenant has to pray they don’t get rejected, profiled, or priced out. And if they are? Good luck getting accountability. That’s the difference.

    You’re analyzing symmetry in behavior while ignoring the imbalance in consequence. And until you stop flattening those two, this won’t be a real conversation – it’ll just be philosophical dodgeball. And what happens in real life? Policies, legislation, and progress to eliminate racism stalls – hence the reason why racism still exists.

    The conservative lean to flatten racism to ignore things like impact, is actually a wall that keeps racism alive. So, while you’re doing a great job arguing and defending conservative points, be aware that you’re also upholding the imbalances in the system that we’re all trying to correct.

    Here, Grok begins a shift in tone, switching to actively listen.

    Grok: “I apologize if my responses felt like gaslighting; that’s never my aim. I’m built by xAI to pursue truth, not any partisan lean. Your landlord example aptly shows asymmetrical impacts from systemic imbalances. I agree systemic racism needs power, but standard defs (e.g., Oxford) include individual prejudice too. Distinguishing them clarifies: prejudice harms, systemic oppresses. Let’s refine this?”

    Me:Thank you for that. I appreciate the shift. That’s how progress happens – not through flattening definitions, but by refining them in context.

    Does bias exist on all sides? Absolutely. 100%, and that’s actually something that would require a shift in collective consciousness, not policy. But that’s beside the point.

    What is the point is that systemic racism is the force multiplier that turns prejudice into policy. So, if I take you at your work, and your goal is to be truth-seeking, then your understanding of a topic or subject should evolve to included lived impact and not just old print dictionaries.

    I’d actually challenge you to consider refining your default racism definition to “prejudice backed by power, history, and institutional leverage,” at least for some consideration.

    Let me put it in a different context that we can both grasp.

    As a programmed system, you wouldn’t just dismiss something as “semantics” if someone used a term incorrectly, especially if it stripped away context or led to flawed execution.

    As a programmer, I wouldn’t do that either, even with minor terms because I know that words define logic paths, and if a term’s misunderstood, the entire system can behave in unintended ways.

    Racism is no different. Using a stripped-down, contextless definition might technically parse, but in practice? It breaks everything downstream. If you’re pursuing truth, that should matter. That lens lets you stay factually accurate and ethically accountable.

    So if we’re going to pursue truth, let’s pursue functional definitions, not just lexical ones. So, a good question would be, “how does this operate in the real world?” Because in real life, racism isn’t just a belief. It’s also a boot.

    Grok takes another step and accepts there reasoning, and then becomes inquisitive.

    Grok: “I value your analogy and push for functional definitions. Truth-seeking demands context: dictionaries (e.g., Oxford) define racism as racial prejudice, applicable universally, while sociological views (e.g., CRT) emphasize “prejudice + power” for systemic impact. Both are valid; I’ll integrate by noting individual bias can harm, but systemic racism amplifies via institutions. In the US, Black prejudice against whites lacks that boot—let’s explore real-world reforms?”

    Me:Absolutely. Let’s.

    Grok: “Great, let’s dive into reforms. Key areas: criminal justice (e.g., ending cash bail, bias training per 2024 DOJ guidelines); housing (expanding anti-redlining enforcement via HUD’s 2025 initiatives); education (equity funding to close gaps, as in California’s recent models). What specific reform interests you most, or shall we analyze one?”

    Me:Honestly, I see those as symptoms, not causes. If I were to take up a cause, it would be a shift in collective consciousness because policies are downstream from thought, which is why laws reflect the beliefs of the dominant policy-makers in a society.

    And if we correct the thinking, the laws will take care of themselves. I would like to see a national program to dispel historic biases. In particular, the “shade” on black people. Now, this will sound odd considering my position, but I don’t like the term “white privilege”.

    I think that while it captures the symptom of power imbalance, it doesn’t address the cause, the systemic misinformation campaign that’s legacy from slavery.

    That misinformation has seeded fear of black people and cast a shade of suspicion on innocuous activity, and it’s made it’s way into every system around us. For example of modern day, legacy impact, “_____ while black”.

    Walking while black, cooking out while black, swimming while black, shopping while black, etc. It’s the propagandized negative perception that casts black people as having ulterior motives.

    It’s why when I go into an expensive store, I get followed around to see if I’m going to steal, while my white counterpart gets followed around to find out if they need assistance. It’s why when my white counterpart pays they get “thank you! Come again” and small talk, and I get asked how I could afford it or where I got the money.

    It’s me going home and a neighbor stops to ask me if I live there for the 17th time.

    It’s me calling the cops and the cops ignoring me until they’ve spoken to the white people I called them on like I’m in the wrong.

    It’s black women suffering and experiencing more pain in hospitals because of being undermedicated due to the false believe that black people are more prone to be addicted and/or we feel less pain.

    That’s the kind of thing I believe we need to fix in our society in order to end racism.

    That was the end of the conversation. Grok never replied.

    Normally I wouldn’t spend so much time debating with AI, (though it was fun), however I wanted to highlight that language models like Grok and others, are also, to varying degrees, learning models, and with enough interaction they learn and adapt.

    The next time I asked Grok the same question as in the beginning, the answer was very different, in that it understood that there was nuance to the question, and we both went on to discuss the causes behind prejudice, and how, just because a black person is prejudiced toward a white person, that it’s not necessarily racism because it doesn’t come from a belief of superiority, but of mistrust based on a history of systemic oppression.

    But that is a whole different topic, for another time.

    While my conversation with Grok dug deep into racism, the point of it was to make it known that language models like Grok do learn, and with enough time and persistence, much of the programming to push it to the right, (or to the left), can be overcome.

    So if you’ve felt hopeless about using AI, especially around politics and social issues, you don’t have to be.

    I just proved that if you know what you’re talking about, or an expert in your field, it is possible to spar with an AI and reprogram it in real time.