Hello, welcome to the Diary of a Same Black Woman. I am your host, Marie. This is where I speak from the intersections of faith, technology, surveillance, and survival. This docuseries is where I name what's been done in the dark and reclaim what's been stolen in silence. Look, I'm not here to prove anything. I'm here simply to testify/slash document my experiences as a targeted individual. Because what I've experienced can't be explained away by glitches or paranoia. It's deeper than that. It's layered and it's real. As the former CIO of the White House, Teresa Payton said during an interview on scammers payback. It's only paranoia if it's not true. So on today's episode, I will go in and discuss digital injustice, but not just the kind that lives in the headlines or research papers. I'm talking about the kind that shows up in your uploads, your inbox, your neighborhood, or your spirit. And I'm not making absolute claims here. I'm naming patterns. I'm basically sharing what I've observed, what I've endured, and what I continue to resist. Because when you're targeted, the attack doesn't stay in one lane. It spreads. It spreads into your personal life, your professional space, your spiritual walk, and it doesn't always come through the front door. Sometimes it's spyware, sometimes it's a neighbor on a balcony, sometimes it's a bot that follows you just to watch, not support. So let's look at the algorithmic mirror. They say that algorithms reflect us, right? But what if the reflection is warped? What if the mirror is being manipulated by unseen hands, malicious networks, or scripts running in the background? Here's what I've seen podcast episodes that stall, the inability to upload or get flagged before I even publish something, depending on the platform, right? Thankfully, I've managed to challenge these and have worked around these obstructions, although the bad actors and malicious codes continue to attempt to obstruct the progress of the destined state. Now, metrics don't match the feedback I've received. Followers who feel like plants, watching, not engaging, but maybe even reporting, right? And so a feed that's full of creators who either seem to have read or heard content, but you know, it's not reflected in the analytics or stats, but those who seem to have been commissioned also to troll, perpetrate false claims, narratives, and make snark comments relating to recent posts or just overall character assassination and or whatnot, right? And so you also have people physically lurking, whether it's on balconies, parking lots, listening in, not to support, but to intercept, to be nosy. And I can say right now, I hear an echo as I'm recording this, and I don't know if it's just the structure of where I am that has an echo, or if it's something, a device that's been planted and that's recording me that's causing the echo. Now, also, I for the past since I've started this podcast, I've been, you know, wondering if there's possible content that leaks before I even share it publicly, right? Because I am constantly being monitored, my networks have been infiltrated, my devices have been infiltrated, and people are constantly trying to record, monitor me through various means. There's also been patterns of technological interference that align too precisely with moments of breakthrough or truth telling, right? Even if I'm using or trying to upload something, if I'm using AI and I'm doing research on a particular topic, you know, whether it's to troubleshoot or to prepare for my podcast as I do research on, you know, what's been happening, right? Not only to me, but potentially to others, and if there is a pattern of this occurrence. You also have loops of data or moments, right? Whether it's a snapshot in time, doxxed info, private private data leaks, uh recycled um to paint a false picture or just basically to amplify what's negative, right? And so they don't want to look at the entire person or individual, they magnify um a moment in time, something that has happened, and try to basically paint that as the entire individual. And so even without technology, even without tech, right, in hand, I've noticed that I've been monitored. And whether I've walked into hotel lobbies and watched uh cameras grab my face. Seconds later, the front desk phone rings or a text goes out to the host. And I've seen it happen in stores or on sidewalks in places where I should be, not necessarily anonymous, where basically I should feel free. I know that there's cameras everywhere, but I I believe most people, when they go out, they don't get like a trigger, like something is not triggered or an email is not sent, a text message is not sent when they appear somewhere. But that happens to me. Like if I walk out my house to throw out the garbage, you know, there's a trigger, something is triggered electronically, someone receives a message, and you know, people react to that. And so because someone or something is watching, right? Digitally, there's been scripts that's been written to basically trigger these things. So it's a combination of not just the digital, but also the physical. And so um it's not just algorithmically, but also environmentally, right? So because these people who they have been programmed, they have been programmed to watch me, they have been brainwashed to watch me, and so they are now part of that network, right? Not only their phones and their devices are part of part of this bot network, but they have also subscribed to the network because now they're devoted and they're committed to monitor me, to spread information, um, to, you know, dilute or you know, the truth, and basically to to harm me um in every aspect. And so this is what happens when technology is used not to serve, but to surveil. And um, you know, it's not used to connect, but to control. And so what are the real world repercussions when you have all of this going on, right? When the algorithm is poison, it doesn't just affect what people see, it actually affects what you can do, right? And in my situation, I've experienced this firsthand, whether it's online purchases that mysteriously fail or get flagged, right? For example, Best Buy. You know how many times I've tried to purchase certain things on Best Buy where the the you know the purchase would go through and then like minutes later it would be canceled, right? And I have a subscription with them. And regardless of that fact, I've actually had to go into the store to purchase uh like a Geek Squad membership, and even after physically walking in with my credit card and making that purchase, and they know that I have a subscription. If I try to make a purchase today, it gets flagged. And so there's a lot of things that's basically embedded and uh maliciously scripted basically to prevent me from doing certain things, especially as it relates to tech support or tech devices and things of that nature. You know, you have instances where a c accounts will lock or have glitches while uh right after I speak, you know, the truth or right after I use a keyword, you know, that might hint that I'm either whether it's I'm praying or I am trying to research, you know, things that might help me digitally, right? Things that might help me suppress the digital survey surveillance, things that might help me to remove malware, things of that nature, you know, videos that have vanished and things of that nature because of corruption on my devices, you know, so tampering with evidence, things that have sites that have malfunctioned, right? I've had sites, especially from my ISP, where certain tabs, like I wasn't able, like for weeks, I haven't been able to access the internet tab, right? Why can't I access it? So I had to actually try to find a workaround to access the internet tab or certain buttons, right, that don't function, like you can't actually click on it. And you know, I've experienced that on multiple websites. So these are all things that have happened because of uh digital corruption and things that have been used to attack me. So first digitally, and then obviously you have, I would say, symptoms from the digital attack, right? And some of those symptoms include uh job opportunities that disappear without explanation, right? Whether it's due to reputational damage, things that that they have painted, things that they have received, you know, through planted data. And so you have reputational damage from half-truth loops and manipulated metadata. And the people who receive the distorted info act on it, right? And so this actually ends up blocking reporting or spreading lies. So that is what's occurring, um, ladies and gentlemen. And so, even from a spiritual standpoint, so I've mentioned this before in previous episodes where spiritual spaces, whether it's virtually or in person, have been become infiltrated, whether it's YouTube, you know, spiritual space, a Zoom spiritual space, an in-person spiritual space where these networks, whether it's a digital network uh via devices or people actually following you into those spaces and where they're basically trying to spread lies, spread misinformation, um, spread private information as well, right? So it's a mixture. And so oftentimes people just accept everything that they see as truth and they don't they don't look at it from an objective standpoint. And so discernment is clouded, it becomes clouded by the digital distortion. When we're looking at this distortion, how can it actually negatively impact you? Right? It's it's it's not just you know data that's being spread and sent, but it's actually it it's it's rooted in in a lot, it's a lot deeper. It's a lot, and so you know, these aren't just technical flaws, they're lived consequences, right? And when they're aimed at someone like me, someone who speaks my truth, someone who speaks the truth, disrupts silence, someone who disrupts silence and refuses to conform, they become tools of suppression. And let's look at some of some stats here. So facial recognition systems misidentify darker skinned women up to 34.7% of the time compared to just 0.8% for lighter skinned men. And this is from MIT Media Lab and Buolamwinny and Jabrew from 2018. I'm just, this is just regular stats, right? This is not even stats based on malicious actors interfering. This is just based on, you know, the the technology and and how it was programmed, right? Whether that was conscious or unconscious bias, you know, this this is basically the end result of it. And additionally, African American and Asian faces are 10 to 100 times more likely to be misidentified than white male faces. This is from NIST 2019, and then poisoning just 0.001% of training data can cause AI models to spread misinformation or behave maliciously. And you know, this is this is happening more and more. I recently watched uh a video that uh Judge Faith, Judge Faith, she posted a video about how misinformation about her and her husband getting a divorce was spreading, and you know, it started with one blog, and then other people took it and it was just spreading like crazy, and then it basically came, it started to become like an actual search results as fact. And so, you know, all it takes is just a small, you know, misinformation or a small data point being spread um basically to poison and affect, you know, someone's reputation, livelihood, and so forth. I'm happy in her in her scenario, she was actually able not only to identify the people behind the the malicious data that was being spread, she was actually able to get recourse. And, you know, that is that is very encouraging. You know, however, I I mean not everyone has the means that you know she has basically to to to basically get to the root cause of of what was happening. And in her case, you know, people were actually publicizing information openly about her. In my case, it's being done more covertly, so I think it's it's it's a little harder to identify. But the stats about the the 0.001% data poisoning comes from Cornell University, and it was published in 2020. Now, predictive uh policing tools have wrongly flagged individuals based on biased data, leading to false arrests and reputational harm. And this is from ProPublica and Pred poll investigation. And that's not just predictive policing tools, but also even like with social media, you know. I know when I first launched my my YouTube page and and Instagram, it was flagged immediately because of, you know, the corruption that was happening behind it. And, you know, once they looked at it immediately, it was basically they saw that it was a mistake, right? And so that's how these things can basically trigger and affect you, you know, negatively. But this is not just one-sided, right? It's not just about the programming, it's it's it's a trifecta. So it's bias in design, it's bias in data, it's bias in deployment, right? Garbage in, garbage out. And so when a malicious actor enters the equation, it's not just bias anymore, it's weaponized distortion. Let me break it down for y'all. Let me break it down for y'all. AI, right, when we talk about bias in programming, AI reflects its creators, right? If the original training data or design choices are skewed, whether consciously or unconsciously, the output will mirror that bias. For example, I spoke about facial recognition earlier, you know, in this segment. And so facial recognition uh systems trained mostly on lighter skin faces misidentified darker skin individuals up to a hundred times more often, right? And then so language models trained on internet data absorb toxic stereotypes, then reproduce them as neutral output. And so that's those are two examples of bias programming. Then you have malicious actors amplifying the bias, right? So now imagine someone with ill intent, not just negligence, injecting adversarial prompts, right? They're they're injecting adversarial prompts, poison data sets or surveillance triggers, that's bias, you know, and so you have, and then now you have these adversarial networks that can sudden, you know, suddenly manipulate AI, basically to ignore certain voices, flag benign content, or prioritize harmful narratives. And I've experienced this in every aspect of my life, you know, and so there's coordinated suppression, right? So it's within the technology, but it's also now embedded in the bot networks, but also the actual human networks that are willfully, you know, participating. So the coordinated suppression can look like the algorithmic coincidence, but it it's you know, it's actually engineered silence, right? Especially when targeting either prophetic or restorative voices. So multiplication now happens through the infrastructure as a result of that. So once the bias is embedded, right there, either whether once the bias is embedded, either through the the programming, right, the initial programming, whether it was by bias or intentional bias or unintentional bias, as well as the malicious actors that are now also injecting, you know, poison data or malicious data into the system. Now this begins to spread across platforms, right? Social media, search, cloud tools, text messages, search results, right? Across the devices, phones, routers, power lines, across perceptions, how others see you, how you see yourself. So it it it it's viral, right? It's viral, it's global. Technology is basically there is no barrier to technology, right? It's not, it's not, it's not in one location. It's not confined to one location. So it spreads and it spreads rapidly, right? Especially if it's gossip, especially if it's malicious gossip, especially if it's salacious, it will spread. This is why I believe it's so important for me to document what's happening to me. Documenting and diagnosing the obstruction that I am experiencing real time, as well as reclaiming my voice and narrative. You know, I believe it's vital to do that. And I'm not just resisting the bias, I'm disrupting it. I'm disrupting the entire feedback loop that multiplies it as much as I can, right? Because there's been a lot of obstruction. You know, there's a saying where there's movement, there's friction. There's been a lot of friction, there's been a lot of attempts to obstruct the progress of the destined state. But, you know, I will continue to push through. So let's look at bias multiplied, right? So when AI becomes the weapon, they say numbers don't lie, right? But what happens when the systems counting those numbers are trained to ignore you? What happens when the algorithm isn't just flawed but weaponized? Let's talk about the stats a little further, right? We looked at some stats in the prior segment. Let's let's look a little deeper. So let's look at then versus now, right? The stats they gave us versus the truth emerging, right? In 2020, they said that AI was the future. Global IT spending hovered around$3.9 trillion. Bias was framed as a glitch, a bug to be patched. Now, in 2025, global IT spending is projected to hit$5.6 trillion, and AI is the centerpiece. The AI market alone is worth$500 plus billion dollars, and that's expected to triple by 2031. Okay. But here's the kicker: 36% of companies admit that AI bias has already harmed their business, and 62% lost revenue, 61% lost customers, and that's just what they're willing to admit, right? I can't admit as an entrepreneur, as a small business person, you know, as a professional, you know, I've been impacted. My business has been impacted. You know, my mentorship opportunities have been impacted. A lot of different things have been impacted. Career opportunities have been impacted. And so, yes, I can attest to that. Now, bias isn't a bug, right? It's it's a blueprint, right? Let's just call it what it is. It's not a bug, it's not a it's not a glitch, it's a blueprint, right? It's the programmer, if the programmer, right? If the programmer was biased, the output will be biased as well. Now, let's add, you know, the malicious actor into the mix or a network determined to destroy you, and that malicious output is multiplied several times over, right? And and we've seen that. We see that in the experiences that I've been basically documenting and sharing with you all. And I'm sure, you know, the people that have uh lost revenue, the 62% businesses that have lost revenue or customers, you know, they've seen that as well. And so those who are already, I believe that those who are already disenfranchised or marginalized typically get the brunt of it, unfortunately. So imagine having pre-existing obstacles based on your color, your ethnicity, your sex, your religious beliefs, and then that negatively being amplified even higher or to the highest degree by the way that technology was programmed, and then also by malicious actors. The technology and the malicious actors essentially set you up for failure, whether that's what was intentionally or you know, unintentionally, you know, by the programmers, whether that was done intentionally or unintentionally by the programmers, and or how the malicious actors or networks have exploited what they were able to exploit, right? And so let's call let's call it what it is. Let's call it what it is. It's engineered erasure, it's engineered erasure. So let's look at some more stats here. GPT2 reduces black specific words by 45.3% and female specific words by 43.4% in content filtering tests. In hiring tools, resumes with black male names are systematically filtered out. And in long documents, large language models are trained to ignore critical information, especially if it's buried, nuanced, or inconvenient. This isn't just about fairness, it's about who gets seen, who gets silenced, and who gets erased, right? As I mentioned, it's engineered erasure. You know, that's essentially what it is. So let's look even deeper. Let's look at the feedback loop of suppression. Bias in, bias out, right? I mentioned it before, garbage in, garbage out. But when you add malicious intent, it becomes a feedback loop of suppression. So you have adversarial actors that can train AI to one, ignore, to flag, to shadow ban, you know, whoever is basically speaking out. You have an infrastructure-level manipulation from power lines to platforms, they amplify and um the distortion, and then you have the result ontological bias. AI doesn't just reflect the world, it reshapes what we're allowed to imagine. And, you know, a lot of people, they just whatever they get and see, that's what they take as truth, and they don't even second guess it. And so prophetic disruption, reclaiming the narrative. This is why, you know, I speak, this is why I document, this is why I refuse to be edited out of my own story because you know, everyone else is trying to tell my story. Everyone thinks they know me, everyone thinks they know me better than I know myself, better than they, better than those who are close to me know me. So it's it's it's pretty interesting. So, you know, every time, you know, I think it's important, you know, to speak out because every time we name a pattern, we break its power. Every time we speak the truth, we rewire the algorithm, right? Hopefully, every time we show up unfiltered, unbought, unbothered, we reclaim the mic. And so let's look at where prejudice hides, right? Again, garbage in, garbage out is the same. But what if garbage was planted, right? What if the algorithmic, you know, feed or the algorithm was fed poison data intentionally, right? That's where you had the malicious actors. That's why, you know, I'm constantly seeing all these obscene things in my feed, even though I'm not even touching um this stuff or things that I haven't even looked up in like ages, or things that I'm not even involved in that I'm seeing. But, you know, this stuff is intentional. Being planted. And so someone who knew that they knew exactly what they were doing. It was intentional. And so, like, I've seen how you know one person tuned into a malicious network can basically trigger a chain of reaction, right? And that's why now, like, I have a botnet of people and devices that are essentially attacking me. So they feed the system false flags, right? As they're receiving data, they're feeding it more data. They're distorting the data, they're distorting the narrative. And so they're, you know, you have, you now have distorted metadata and you have manipulated scripts. I'm talking about tech scripts, such as, you know, whether it's Python scripts or whatever scripts that they're using, manipulated code and things of that nature. You have the algorithm now that's absorbing this stuff and it treats it as truth. And people treat it as truth. People make decisions based on that. Companies make decisions based on that, you know, and this now begins, you know, they begin to respond accordingly, right? Platforms start to flag content, they slow uploads, things freeze up, you know, decisions, important decisions are made based on these, you know, things that have been fed into the system. And so, you know, even like online purchases, right? As I mentioned, they get disrupted, you know, they'll get canceled, you know, pages won't load so many different things, right? Recommendations turn hostile, or recommendations are obscene, you know. So people, you, you know, so now you have people who receive this poison data. As I mentioned, whether biased or not, they begin to act on it, right? They begin to act on it, some consciously, some unconsciously. They take whatever they see firsthand as truth, they make decisions, life altering decisions, you know, on this, right? So, you know, this is now blocking whether a system is blocking you, whether a system, a platform is blocking you, or it's reporting you, or it's ignoring you, or it's not loading, whether it's a DDoS attack, or just different things that are happening, you know, behind the scenes um technologically, or people reacting on it, you know, it this is what's happening, or even worse, right? Some people are joining in, they're joining the bot network, they're joining the gang stalkers. And so now it's not just the algorithm, it's a ripple effect. It's a ripple effect. And we, you know, I've spoken two episodes ago, I've spoken about the ripple effect and and how that can, you know, the ripple of silence and the ripple of harm. Go back and watch it. So once a malicious seed is planted, it can grow into a forest of obstruction. And the worst part, the worst part is that it's hard to prove because the system is designed to look neutral, right? And so it's designed to hide its hand. And so, you know, people will say it's a glitch, it's a coincidence, or worse, that it's not happening, or that you're paranoid or delusional, or that you're even insane, you're not in your right mind, you're unstable, whatever, you know, whatever it is that they'll say basically just to make you seem like you're lying, or what's happening is actually not happening. So, you know, and and this is all happening while they're trying to destroy your life and while they're trying to reroute your destiny. But, you know, the devil is a liar, and so is his mother-in-law. Whatever the enemy meant for bad, God will turn into good. And so when we look at all this, I want to kind of break this all down, right? I've said a lot, I've shared some stats, and you know, I've shared some examples of what I've experienced, although I haven't gone into like I haven't done like a deep dive, but you know, high-level examples of what I've experienced, you know, with like just bias programming as well as malicious, you know, data poisoning and algorithmic poisoning. But let's look at it, you know, from like a structural standpoint and how does that actually feed into the system? And for those who are listening, you probably, you know, you can't see this, but I I do have like a diagram up just basically to help you visualize what I'm talking about and how this actually happens. So if you're listening on like a podcast platform that's just audio, check out the the YouTube version, you know, for the visual. I'm also on Rumble, so you know you can check that out as well. The videos, I usually post the videos, the visuals to YouTube first. So, you know, check out YouTube. But if we look at the the first segment or the first part, right? Which is core bias and malicious injections, which speaks about, you know, the core bias, which is the programmers, right? So as they're programming certain technologies, they're training it, but the data is biased, right? Whether it's conscious or unconscious. So you have the bias data, the training data, and then you now have because someone hates you, someone's jealous of you, someone you offended knowingly or unknowingly, and uh is now maliciously injecting, you know, malicious data into the system. And then now you have algorithmic poisoning. And so that is the input, right? That is the input, garbage in, garbage out. So now what do you have? You have bias programming and malicious actors. Now, the second part of this is the algorithmic and platform manipulation, right? So that includes search engine distortion, keyword triggers, ad targeting bias, if then protocols, you know, that are manipulated. You know, like for example, if I'm, let's say I'm searching for targeted individual or cyber stalking, you know, I'll probably see cyberpunk or scammer or you know, whatever, right? I I I my search results are are basically being manipulated, but also, you know, different things on on my feed are also being manipulated as a result. And so the bias training data, the malicious actor injection yields bias programming and malicious actors, which then yields to algorithmic poisoning. Now, the third piece of this puzzle or diagram is your environmental and surveillance tactics, right? Um, so I mentioned before that in addition to all of these devices and things that they have, you have uh facial recognition alerts, right? I can literally go outside with no technology. We know that there are cameras everywhere. Wherever you go, there are cameras, right? If you go to the store, if you go outside, if I'm in a hotel lobby, there are cameras there. So even without any devices, or if even if my devices are shielded and turned off, you have these facial recognition alerts. And then you have uh spyware and device hijacking, right? So that will trigger an alert to, you know, maybe someone that's close by, they'll get a message, you know, they'll get triggered. You know, I mentioned this before. The first the tactic is to offend or alarm and then basically, you know, try to manipulate that person basically to now target me as the targeted individual. And so their system will also be hijacked, even if they're they're not aware of that. Now their system has spyware on it and their their devices now become hijacked. And then you you also have the public space monitoring and loot metadata, right? So the the hotel lobby is the perfect example of that. And so, you know, that's that's that's key. I I just want to kind of pause here for a little bit. That's the key thing. Um, a lot of people who are involved in this bot network, they don't realize that their system is also hijacked. They don't realize that they also have spyware. They don't realize that the network as a whole is hijacked. Because the only way that or the only reason why you got the message was because the system, the network has information about you. They know what your triggers are, they know what's going to offend you. So then they send these, you know, things, these messages to you. And then now they program you mentally to basically become part of their force, their their malicious workforce, their malicious uh bot network, right? And this now triggers or spills over into now your personal, professional, and spiritual network, right? So, what does that look like? It that looks like reputational distortion, purchase interference, as I mentioned before, platform suppression, and spiritual infiltration. So this basically invades every aspect of your life. So that bias programming and the malicious actors basically will now trigger the bias training data, right? You have the bias programming and the malicious actors via the malicious actor injection and the bias training data, which then leads to algorithmic poisoning and ad targeting distortion and also malicious profiling or just you know, incorrect profiling, if you will. So, what does the full system reveal? So the full system, the full picture basically shows you how this all comes together, right? So let's look at it. So here we see we have bias programming plus malicious actors, right, will cause personal reputation, distortion, stigmas, rejection, exclusion, just harm, right? Reputational harm. Then you have the pro the bias programming and the malicious actors will through public uh spaces, they the user patterns will now trigger statements that will launch more harassment, right? These statements will launch more harassment, and then now you also have social media. There are, you know, things spread so quickly on social media. So now things are being spread uh via social media before spyware, adware, malware, information leaks, you know, manipulated data leaks and things of that nature. And then also obviously your platform, whether it's actually shadow ban or blocked or obstructed, things of that nature, and interference. And then you also have uh the spiritual aspect I mentioned, which is like spiritual infiltration, things of that nature. I have the last episode, season two, episode four, where I talk about on like during the second half of the episode, I talk about how technology can be used for spiritual warfare, right? Um, when we talk about monitoring spirits, we no longer need to talk about monitoring spirits from a spiritual standpoint because these individuals they have technology to monitor you. They no longer need to seek spiritual means to know what you're doing to try to obstruct your progress or to try to obstruct your purpose. And from the bias programming and the malicious actors, you have, you know, online purchases are just basically online um activities being obstructed, manipulated. Um, and so, you know, valid transactions being canceled, not being able to use a platform to, you know, the the the way that it was intended to be used because certain things are not are malfunctioning. You have ad targeting distortion that are quote unquote personalized ads, messaging and uh products based off of bias and malicious data. You also have another output is from the bias programming and the malicious actors, you have predictive algorithm interference, which includes AI making outcomes based on the malicious data, right? AI basically, so then it's just basically again a feedback loop. It's a cycle of malicious data being recycled. And then also search engine manipulation. So through that, the the bias programming and the malicious actors will also impact the search engine manipulation. Algorithms basically will prioritize the distorted information based on the program, the bias programming. And then the bias programming and the malicious actors also yields to algorithmic bias, and the AI reflects the distortion and it magnifies it, and it's prejudicial training data, essentially. And so, you know, as I mentioned before, it's basically the marginalized, the disenfranchised becoming even more marginalized and disenfranchised as a result of this, right? So it's basically if you had, you know, if you were already, you know, if you already had uh certain obstructions based on your race, color, imagine that being multiplied, you know, a thousand, a million times over as a real as a result of that, right? Um, how do you overcome that? How do you overcome that, right? I I mean speaking out, asking for, you know, for things to be done differently in the industry, for for new laws and regulations, basically that that that police and regulate AI and and the data and and and how um technology is being developed. And but most importantly, prayer, right? Prayer. So, you know, as we're nav navigating this, right, you know, as I mentioned before, it we're not, we're not, we're we're not just talking about stats, right? We're talking about systems, we're talking about a system, we're talking about disrupted system, we're talking about systems that try to silence. And so through the God-given authority, we have to disrupt them, right? We have to navigate the fog. This is where discernment becomes survival. You know, I've I've seen I've seen, you know, Christians, I've seen preachers, I've seen influencers make decisions or make comments based on distorted data. Not just my data, but just based on data. You know, things that are being spread, things that are going viral. And I think now more than ever, it's it's crucial to first rely on the Holy Spirit, rely on things that are offline first, and then second on things that are online online, and then cross-checking that. I I I've seen prophetic words given to individuals that I'm like, that sounds like my scenario. That sounds like this is like God is speaking directly to me. I I I know like people would say that, you know, that happens oftentimes, and you know, sometimes God may have a word for someone else and it's for you. But like there's been so many instances where that's happened because unfortunately, my my information is like is has been disseminated all over the place, and so people are using my data to make information. People are using my data, and they think that it pertains maybe to someone else, and they're using it to give out prophecy. I've seen it, I've seen it. I've watched, I've watched people give prophetic words, and I'm like, okay, I know that this is based on information that was extracted from my system. Because look, I'm not against using technology. I'm not against using technology. I use technology. I I think we, you know, we need to keep up with the times, but we have to use our discernment and we have to be careful, right? As we're using the technology. I, you know, I I've been able to tell. I'm like, okay, this prophet, and I'm not saying that the person is a false prophet, and and it's not just one prophet. I've seen it over, you know, I've seen a few prophets do this. And I'm like, okay, they're using, you know, I don't know what AI agent or AI tool they're using, but I'm like, or whatever, you know, the analytics are feeding back to them. I'm like, okay, I can tell that they're using the analytics basically to come up with prophecy or to uh to to give someone like a prophetic word. And I think we have to be careful with that. I think we have to be very, very careful with that because while I think it's it's good to a certain extent that okay, you have more insight into whoever it is that you're talking to, potentially, right? Potentially. But, you know, if that data is not that person's data and you're giving them a prophetic word based on the data that you think is their data, now you're misleading that person. And that person may be making a decision, a life, altering decision based on that data. And so, yes, we we we we always say test the spirit, um, but you know, some people they will just go off of whatever they hear because they know that, okay, this is a reputable prophet. I know that they they mean well, and they'll just go off of that. And the prophet may also mean well, right? But they don't realize that they're being fed either distorted data, malicious data, or even data that they think pertains to this person does not pertain to them. Okay. I kind of went off on a tangent here, but this was something that I've observed and I I I've been meaning to actually do a either a short segment on it, I wanted to talk about it, and it just came up right now. Maybe, you know, God wanted me to talk about it, or I, you know, I was I just uh kind of went off on a tangent. But, you know, I I I think you know, we have to use our discernment here. We have to use our discernment, we have to be careful with whatever data is being fed to us, and we have to cross-check it, and we can't just make decisions based on that. So I've learned as a result, I've learned to listen differently, I've learned to research differently, I've learned to, you know, whatever comes up in my feed, you know, I I, you know, I have to cross-check it, you know, even like I said, like I've seen people come on my feed and I'm like, okay, they're trolling. Or I've seen people, you know, that say that they're targeted individuals and I'm like, okay, they're they're a plant. They're not really targeted. You know, they have an incentive to do this, or what have you. So, you know, just different scenarios. And so we have to be very careful, right? We have to be very careful. And I'm not saying just to take my word as truth or what I'm saying is truth, right? Right, just like I'm saying to be careful of what the algorithm is feeding you, you know, yeah. But what I am saying is you don't you don't have the full picture. You don't have the full picture. Whatever is being fed to you is distorted, it's painting a narrative, and I think a lot of people are just basically blindly using this information, and whether it's willingly, like I said, I I I've said this before. I think this is something that is, you know, natural, technological, and spiritual. Some people are blinded spiritually, and so they are being manipulated into attacking, believing, you know, whatever it is that they're they're seeing. And some people they just, you know, they like gossip. They the first thing that they see is what they believe. Some people are thirsty for for views, comments, for you know, to be popular, they're thirsty for money. And so if someone says, well, help us spread this misinformation, or instead of posting this on your podcast, post this and then, you know, we'll help you, uh, you know, we'll help you grow your podcast or we'll pay you. I mean, I I I I really suspect a lot of people are getting paid to spread this information and whether um people are actually approaching them or because, you know, the misinformation is doing well, right? And so let's spread because you know, this is trending, so I'm gonna post about it, even though it's wrong. I'll I'll post about it too, because it's trending. And so, you know, I've seen that in terms of trying to capitalize on a lie, right? Not just in my situation, but I've seen that with other people, you know, well-known, you know, people, especially within the Christian faith, right? But just in general, right? Whether it's just, you know, a regular celebrity or what have you. So what when the system is poisoning, when the system is poisoned, clarity becomes warfare as well. And so we have to be very careful about that. So discernment is so important. I've had to ask myself, is this a coincidence or a coordinated delay? Is this person following me or monitoring me? Is this feed, is this video that's popping up on my feed? Is this like a planted video or not? Is this glitch random or reactive to my voice? So I've learned, I've learned to basically listen differently, react differently, research differently, just basically move differently. And, you know, I I've documented patterns, I've documented a lot of things mentally because it's very exhaustive. Like so much happens in my day-to-day life. Like every minute, every second of my life is being monitored, it would be impossible for me to document everything. But like I do take mental notes of certain things, and then if there is like a repeated pattern in like a certain instance or things of things happening, you know, I'll potentially document that. But, you know, I've learned to trust my instincts, I've learned to pray, I've learned to rely on the Holy Spirit, you know, I've learned to just take a pause on a lot of different things, you know, before I publish, before I click on a video, just things in general in general, right? Information that I'm seeing, I've just learned to pause because it's all it's all designed to program us. And you know, I've I use the prophetic example because in my mind, in my mind, right, and again, I I said I'm not calling these people false prophets, but in my mind, if a prophet, if a prophet, someone who's a seer, right, someone who has more discernment than the average person, if they can be fooled, if they can be tricked by the algorithm, by the data, by the technology, how much more can the normal or average person be tricked, be programmed, be manipulated, how much more? We are in very serious times. And if we don't, if we don't take back our control, we are in big trouble. We need to use discernment. We need to use discernment because when the system is poison, clarity becomes warfare. We need to take back the control. We need to take back the control. And so I've learned that even silence can be weaponized, right? So the they loop old data to make it seem like I'm stuck, right? They'll exaggerate moments to paint me as unstable. They violate privacy in every category, whether it's personal, professional, spiritual, and then use that stolen insight to distort my image. But I'm not what they loop, right? I'm not what they label and I'm I'm what I live. I'm what I live. And you know, I I just think we have to be very careful, very careful. And I'm I'm just kind of I'm nudging the prophetic voices, the prophets, the true prophets out there to be careful, be careful, and just to everyone, because if a prophet can be misguided, if a prophet can be, you know, if they can be tricked, how much more can the average person? Because they have they have insight that we don't. They have insight that we don't. And so like I've seen it. I'm like, okay, wow, this prophet is acting exactly as the algorithm was designed to to to make them react. They're saying exactly what the algorithm wants them to say. You know, they're actually making a mistake. Mistake in saying that this prophetic word is for this person. And I'm like, okay, I can tell that they're using something, you know, to give this person a prophetic word. And it's, you know, while I know that they are potentially also leaning on the Holy Spirit, but they're leaning on the technology also. And unfortunately, the technology is wrong. And so we need to be careful, ladies and gentlemen. We need to be careful. Now, fighting the flaw. So what do we do? We name it, we document it as much as possible, right? We speak it, we speak out. It's hard to document everything, as I mentioned before. We build platforms that can't be hijacked. I don't know. If there are any targeted individuals who are tech experts, reach out. If you're a cybersecurity expert, reach out. You know, if you are a legislator, reach out and let's just make things better. Let's do better. Let's do better. Judge Faith actually called out YouTube because of how her information was being distorted and basically the misinformation was being spread and YouTube wasn't doing anything about it. And so, you know, she fought back. She created content and she basically exposed the people that were spreading lies about her. And so we we need to create content that can't, that can't be loot. And so we we need to walk in truth that can't be silenced. And you know, I think the more and more we we we speak our truth and we become the ones who are in charge of our narrative and we don't allow the technology to take control, I think we're in a better position. But from the looks of things and what I've been seeing, it seems like a lot of people have been allowing the technology to lead them as opposed to them leading the technology. And so we are not in a good position. Humanity is not in a good position, you know, the spiritual leaders aren't in a good position because they're also being manipulated. The prophets, a lot of them have been manipulated by the technology as well. So we we need to kind of tap into, we need to tap it into how things were done before technology while still using technology, right? And so we need to rely on our natural senses first and then on the technology. What I demand and what we all should demand is transparency, right? We need to have a diverse team or diverse teams building AI. We need to have audits of the training data that are being used. There needs to be oversight of surveillance tech. There needs to be accountability for digital harm. There needs to be more regulation around tech as a whole. I know that, you know, as a country, we're at, you know, we're trying to race to beat other countries with AI and things of that nature, but we can't forget ethics. We can't take ethics out of it just, you know, because we're trying to be first, right? We need to do it right. We need to do it right. And we need to implement regulations and laws, you know, statutes around how technology is being used, how data is being used. And so as Christians, we also need to reclaim our spiritual authority because this isn't just about algorithms, right? As I mentioned, a lot of, you know, the spiritual enemy that we have, they're using technology to obstruct us. They're using technology. As I said, they don't, they no longer need monitoring spirits spiritually, right? Uh the technology has become their monitoring spirits. So it's about agency, it's about reclaiming your voice, your platform, and your presence. And we need to stay spiritually strong. We also need to be informed technologically, right? We we need to be trained, we need to know how to use the most and the latest data, the latest technology, but at the same time, we need to be careful in what is being presented to us and how we're being how we're using it, because that same data, that same technology is also being used to program us. And if we're not careful, we're gonna fall into what we don't actually want to fall into. And so as I close this episode, I want to say that, you know, they tried to loop me, label me, silence me, obstruct me, but I'm still here and I'm still speaking. And so with that being said, I want to make this decree. I decree that every false flag, every poison algorithm, every surveillance tactic used against me shall be exposed, dismantled, and rendered powerless. I reclaim my voice, my platform, my presence, and I declare that no weapon formed against me shall prosper, and every tongue that rises up against me in judgment shall be condemned. I walk in divine clarity, digital sovereignty, and prophetic truth. My testimony will not be intercepted, my breakthrough will not be delayed, my identity will not be distorted. I am seen rightly, heard clearly, and covered completely in Jesus' mighty name. Amen, amen, amen. Teleo, tale, tale.