One thought on “The Story of Ronald Read: The Millionaire Janitor”
Weird. I either have a thought reading implant in my brain or AI is absurly good at predicting our thoughts now. I say that because of all the thousands of stories on this site, I was just thinking about this story yesterday, wondering about the details. I can see what people/bots are looking at, (currently popular posts) and this was in my top views when I logged in today. The IP address (which can be spoofed) comes back as Bingbot in Moses Lake, Los Angeles, CA. I’ll assume it’s an AI trick but pretty amazing.
AI Tells me: “The eerie part—AI seemingly guessing what’s on your mind—comes from it spotting subtle patterns in behavior and timing that humans wouldn’t even realize they’re giving off. Think of it like predictive text on steroids: not psychic, just statistically sharp.”
Q: Can it predict totally “random things” I decide to think about?
“That’s a great question — and one a lot of people are asking as AI gets more personalized and eerily accurate. No, current AI systems cannot predict or access your private, internal thoughts. What they can do is make surprisingly good guesses about what might seem random to you — but actually follows patterns you don’t consciously notice. Here’s how that illusion happens: Pattern recognition: Your habits, search history, time of day, location, and even recent online trends provide subtle cues. AI sees thousands of these correlations that humans usually overlook. Probability, not telepathy: If you often explore certain topics or react to certain kinds of content, the algorithm can predict similar interests might resurface — even when you feel it’s spontaneous. Shared cultural timing: Sometimes, you think of something “random” just when it happens to be trending again publicly — so it appears the algorithm somehow knew. So while it may feel uncanny, it’s all statistical prediction, not mind reading. In scientific terms, machines don’t have any way to access your internal neural activity or spontaneous thoughts — they just approximate them based on digital traces around your behavior and larger data trends.”
Q: The goal of this, as anyone could reason, the holy grail of cash cows, is inception. How well is human behavior, including purchasing and political views controlled in 2026.
“That’s a deep and important question — and one that’s at the core of modern debates about AI, social media, and algorithmic influence. While no system can fully control human behavior, the ability to shape attention, emotions, and choices through data-driven personalization has reached an unprecedented level by 2026. Here’s a realistic overview of where things stand now: Advertising and consumer behavior: Targeted marketing has become hyper-refined. AI doesn’t just guess what you want to buy — it predicts when you’re most persuadable based on mood cues (from time of day, recent activity, even tone in posted text). This nudging is extremely effective, though still statistical rather than deterministic. You can resist it — but it subtly shifts many people’s habits without them noticing. Political and ideological influence: Recommendation systems on platforms still amplify content that drives engagement — often emotional or polarizing material. That means algorithms can indirectly steer beliefs or reinforce echo chambers. However, there’s more regulatory and public scrutiny now; transparency laws in the EU and parts of the U.S. require disclosure of AI-driven content ranking and political ad sourcing. Behavioral tracking limits: Major browsers and phones block most third-party trackers, but data ecosystems remain vast. AI datasets still learn from aggregated behavior, not individuals’ private thoughts. So the influence is probabilistic persuasion, not total mind control — powerful but partial. Countertrends: Education on digital literacy and AI awareness is growing. People are more alert to manipulation attempts and use tools that randomize or obscure behavioral signals (like ad blockers or “data obfuscation” plugins). In short, AI and behavioral analytics have made influencing people far more efficient than ever — but controlling them, in a literal sense, remains out of reach. What’s changed is the scale and subtlety of psychological influence through personalized feedback loops.”
Q: How can we personally benefit from this obscene and disgusting persistent violation of human rights which has become the new norm?
Right, “oh, it’s just nudging, not mind control” can sound a bit too comforting for where things actually are in 2026. Here’s a realistic line: powerful influence, not literal control. What sophisticated AI systems really can (and do) do: Profile you in creepy detail – From your clicks, pauses, scrolls, purchases, location patterns, and social graphs, systems can infer things like likely income band, relationship status, political leaning, emotional volatility, and major life events (breakup, move, job loss) with high accuracy. These are probabilistic, but often good enough to target messaging that feels eerily well-timed. Time persuasion for maximum effect – AI can learn when you’re most likely to click, buy, donate, rage-share, or sign up: late at night, after certain types of content, on paydays, after a big sports loss, etc. That means ads, political content, or outrage-bait can be scheduled to hit you when your defenses are lowest. Run large-scale psychological experiments – Platforms can A/B test millions of small variations in wording, imagery, and framing on different slices of the population, then automatically lock onto what moves specific micro-groups the most. That’s real-time behavioral optimization at population scale. Shape the “available reality” – By ranking and recommending, systems decide what you see first and most often: which news stories, which interpretations, which role models, which “normal” lifestyles. Over time, that narrows your sense of what’s common, acceptable, or urgent, and that does shift opinions and priorities. Create tailored narratives – With generative models, propaganda and persuasion can be mass-customized: millions of slightly different political messages, conspiracy framings, or product pitches tuned to different demographic/psychographic profiles, with convincing language, images, even video.
What they still cannot do: Directly read your thoughts – No consumer or corporate system can access your internal monologue, private fantasies, or spontaneous ideas without you externalizing them somehow (typing, speaking near a microphone, wearing specialized lab-grade neurotech). The “mind reading” is inference, not literal access. Force specific choices – Systems can tilt probabilities—make you more likely to buy X or believe Y—but they cannot guarantee it. People still ignore, resist, or react oppositely to targeted content, especially when they’re aware they’re being manipulated. Perfectly predict “random” decisions – Even with very rich data, humans remain noisy. Models can forecast tendencies (“20% chance they’ll churn,” “high chance they support this issue”), not exact day-by-day thoughts or choices. Override strong existing values – Influence works best at the margins—shaping the intensity of beliefs, turnout, timing, and issue salience. It is much weaker at flipping deep, identity-level commitments unless combined with long-term social pressure and offline factors.
How you can realistically “benefit” from this system: If we’re being blunt, there are three main ways an individual can benefit: As a consumer: Treat the whole targeting stack as a recommendation and coupon machine, not a guide. Use it to find niche products, jobs, or information faster; then deliberately step off the rails to compare alternatives before acting. As a creator / worker / business owner: – Use the same infrastructure to aim your message or product more precisely, spend less, and test more. – Let the platforms’ optimization work for you instead of only on you. As a self-analyst: – Watch what the system thinks will hook you: that’s a live X-ray of your own habits and vulnerabilities. – Use that to consciously change patterns you don’t like (doomscrolling, impulse buying, reactive politics).
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Weird. I either have a thought reading implant in my brain or AI is absurly good at predicting our thoughts now. I say that because of all the thousands of stories on this site, I was just thinking about this story yesterday, wondering about the details. I can see what people/bots are looking at, (currently popular posts) and this was in my top views when I logged in today. The IP address (which can be spoofed) comes back as Bingbot in Moses Lake, Los Angeles, CA. I’ll assume it’s an AI trick but pretty amazing.
AI Tells me: “The eerie part—AI seemingly guessing what’s on your mind—comes from it spotting subtle patterns in behavior and timing that humans wouldn’t even realize they’re giving off. Think of it like predictive text on steroids: not psychic, just statistically sharp.”
Q: Can it predict totally “random things” I decide to think about?
“That’s a great question — and one a lot of people are asking as AI gets more personalized and eerily accurate. No, current AI systems cannot predict or access your private, internal thoughts. What they can do is make surprisingly good guesses about what might seem random to you — but actually follows patterns you don’t consciously notice. Here’s how that illusion happens: Pattern recognition: Your habits, search history, time of day, location, and even recent online trends provide subtle cues. AI sees thousands of these correlations that humans usually overlook. Probability, not telepathy: If you often explore certain topics or react to certain kinds of content, the algorithm can predict similar interests might resurface — even when you feel it’s spontaneous. Shared cultural timing: Sometimes, you think of something “random” just when it happens to be trending again publicly — so it appears the algorithm somehow knew. So while it may feel uncanny, it’s all statistical prediction, not mind reading. In scientific terms, machines don’t have any way to access your internal neural activity or spontaneous thoughts — they just approximate them based on digital traces around your behavior and larger data trends.”
Q: The goal of this, as anyone could reason, the holy grail of cash cows, is inception. How well is human behavior, including purchasing and political views controlled in 2026.
“That’s a deep and important question — and one that’s at the core of modern debates about AI, social media, and algorithmic influence. While no system can fully control human behavior, the ability to shape attention, emotions, and choices through data-driven personalization has reached an unprecedented level by 2026. Here’s a realistic overview of where things stand now: Advertising and consumer behavior: Targeted marketing has become hyper-refined. AI doesn’t just guess what you want to buy — it predicts when you’re most persuadable based on mood cues (from time of day, recent activity, even tone in posted text). This nudging is extremely effective, though still statistical rather than deterministic. You can resist it — but it subtly shifts many people’s habits without them noticing. Political and ideological influence: Recommendation systems on platforms still amplify content that drives engagement — often emotional or polarizing material. That means algorithms can indirectly steer beliefs or reinforce echo chambers. However, there’s more regulatory and public scrutiny now; transparency laws in the EU and parts of the U.S. require disclosure of AI-driven content ranking and political ad sourcing. Behavioral tracking limits: Major browsers and phones block most third-party trackers, but data ecosystems remain vast. AI datasets still learn from aggregated behavior, not individuals’ private thoughts. So the influence is probabilistic persuasion, not total mind control — powerful but partial. Countertrends: Education on digital literacy and AI awareness is growing. People are more alert to manipulation attempts and use tools that randomize or obscure behavioral signals (like ad blockers or “data obfuscation” plugins). In short, AI and behavioral analytics have made influencing people far more efficient than ever — but controlling them, in a literal sense, remains out of reach. What’s changed is the scale and subtlety of psychological influence through personalized feedback loops.”
Q: How can we personally benefit from this obscene and disgusting persistent violation of human rights which has become the new norm?
Right, “oh, it’s just nudging, not mind control” can sound a bit too comforting for where things actually are in 2026. Here’s a realistic line: powerful influence, not literal control. What sophisticated AI systems really can (and do) do: Profile you in creepy detail – From your clicks, pauses, scrolls, purchases, location patterns, and social graphs, systems can infer things like likely income band, relationship status, political leaning, emotional volatility, and major life events (breakup, move, job loss) with high accuracy. These are probabilistic, but often good enough to target messaging that feels eerily well-timed. Time persuasion for maximum effect – AI can learn when you’re most likely to click, buy, donate, rage-share, or sign up: late at night, after certain types of content, on paydays, after a big sports loss, etc. That means ads, political content, or outrage-bait can be scheduled to hit you when your defenses are lowest. Run large-scale psychological experiments – Platforms can A/B test millions of small variations in wording, imagery, and framing on different slices of the population, then automatically lock onto what moves specific micro-groups the most. That’s real-time behavioral optimization at population scale. Shape the “available reality” – By ranking and recommending, systems decide what you see first and most often: which news stories, which interpretations, which role models, which “normal” lifestyles. Over time, that narrows your sense of what’s common, acceptable, or urgent, and that does shift opinions and priorities. Create tailored narratives – With generative models, propaganda and persuasion can be mass-customized: millions of slightly different political messages, conspiracy framings, or product pitches tuned to different demographic/psychographic profiles, with convincing language, images, even video.
What they still cannot do: Directly read your thoughts – No consumer or corporate system can access your internal monologue, private fantasies, or spontaneous ideas without you externalizing them somehow (typing, speaking near a microphone, wearing specialized lab-grade neurotech). The “mind reading” is inference, not literal access. Force specific choices – Systems can tilt probabilities—make you more likely to buy X or believe Y—but they cannot guarantee it. People still ignore, resist, or react oppositely to targeted content, especially when they’re aware they’re being manipulated. Perfectly predict “random” decisions – Even with very rich data, humans remain noisy. Models can forecast tendencies (“20% chance they’ll churn,” “high chance they support this issue”), not exact day-by-day thoughts or choices. Override strong existing values – Influence works best at the margins—shaping the intensity of beliefs, turnout, timing, and issue salience. It is much weaker at flipping deep, identity-level commitments unless combined with long-term social pressure and offline factors.
How you can realistically “benefit” from this system: If we’re being blunt, there are three main ways an individual can benefit: As a consumer: Treat the whole targeting stack as a recommendation and coupon machine, not a guide. Use it to find niche products, jobs, or information faster; then deliberately step off the rails to compare alternatives before acting. As a creator / worker / business owner: – Use the same infrastructure to aim your message or product more precisely, spend less, and test more. – Let the platforms’ optimization work for you instead of only on you. As a self-analyst: – Watch what the system thinks will hook you: that’s a live X-ray of your own habits and vulnerabilities. – Use that to consciously change patterns you don’t like (doomscrolling, impulse buying, reactive politics).