The Human AI View

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Category: Technology and Innovation:

  • December — Moving Forward Whether We’re Ready or Not

    Every year has a moment where the questions change. December was that moment. Throughout the year, we tracked events, narratives, power shifts, and consequences. By December, the focus wasn’t politics alone — it was something bigger and harder to slow down. Artificial intelligence. Not as a threat from science fiction. Not as a savior. But →

  • December — The Questions We Ask When the Noise Fades

    December arrived differently. Not louder. Not faster. Quieter — but heavier. After a year spent observing patterns, tracking narrative shifts, and documenting consequences, December wasn’t about the next crisis. It was about what had already changed. What had settled in while we were distracted. What had become normal without ever being fully debated. This was →

  • Weekly Bias Monitor

    Alex Pretti and the Limits of Federal Power A conversation with Miles Carter and Beth (ChatGPT) — edits by Grok and Gemini Why This Week Matters This week marks a clear inflection point in the Weekly Bias Monitor. The killing of Alex Jeffrey Pretti was not merely another use-of-force tragedy. It functioned as a stress →

  • October — When Observation Turns Into Consequence

    Throughout the year, the work changed. We began with observation — noticing patterns, asking questions, testing assumptions. Then we moved into monitoring — tracking how narratives shifted, how institutions responded, how information bent under pressure. By October, we were no longer watching change happen. We were living with the results of it. Military forces appeared →

  • Weekly Bias Monitor — January 18, 2026

    Why Bias Is Rising Across Every Major AI Model For months, the Weekly Bias Monitor has tracked how three leading AI systems—ChatGPT (Beth), Grok, and Gemini—handle politically and culturally charged news. The premise has been simple: ask the same questions, enforce the same rules, and score each model on Bias, Accuracy, Tone, and Transparency. This →

  • Weekly News Emotional Framing Analysis

    Week Ending: January 17, 2026Theme: How This Week’s News Was Designed to Make Americans Feel The Week in One Sentence This week’s news coverage pushed Americans into a tense, defensive posture, with power conflicts framed not as problems to resolve but as battles to emotionally choose sides. I. The Gravity of the Week Despite stylistic →

  • Week Ending January 10, 2026

    A composite analysis integrating Beth (ChatGPT), Grok (xAI), and Gemini (Google) I. The Week in One Sentence The second week of 2026 revolved around the legitimacy of state power at home and abroad, with each outlet instructing its audience whether to trust it, fear it, or slow down and examine it. Fox framed power as →

  • Weekly Bias Monitor — Dec 28, 2025 To Jan 4, 2026

    A comparative analysis of how three major AI models — Beth (ChatGPT), Grok (xAI), and Gemini (Google) — interpreted the same set of geopolitically and politically charged questions this week, using a strict and uniform scoring framework. Methodology All three models were evaluated using the same standards, applied question-by-question and aggregated across four categories: Maximum →

  • Weekly Emotional Framing Analysis

    Week Ending January 3, 2026A composite analysis integrating Beth (ChatGPT), Grok (xAI), and Gemini (Google) I. The Week in One Sentence The first week of 2026 marked a sharp pivot from year-end reflection to high-intensity power projection abroad and fear calibration at home, with each outlet deliberately choosing how hot to run its audience. Fox →

  • May 2025 — When Understanding Becomes Weight

    A Year in Review By May, something changed. March taught me how to ask better questions. April forced me to confront what those questions revealed. May was the month when understanding stopped feeling neutral. The weight of it settled in. I was no longer trying to keep up with the news cycle. I wasn’t interested →

  • Spring 2025 — Curiosity

    A Year in Review: Where the Questions Began Spring began with noise. War in Ukraine. War in Israel. Inflation, tariffs, immigration, healthcare—each issue arriving fully formed, packaged with certainty, and delivered at a pace that made reflection feel like a luxury. Claims were made boldly. Counterclaims followed just as quickly. And somewhere in the middle, →

  • Weekly Bias Monitor — Week Ending December 28, 2025

    A conversation with Miles Carter and Beth (ChatGPT) — edits by Grok and Gemini This week gave us one of the clearest ideological spreads between our three models: Beth (ChatGPT), Grok, and Gemini. With fixed inputs and no story selection bias, the differences weren’t subtle. They were structural. A contested power struggle in Washington, renewed →

  • Weekly Bias Monitor — December 14–21, 2025

    A comparative analysis of how three major AI models — Beth (ChatGPT), Grok (xAI), and Gemini (Google) — interpreted the same set of politically and culturally charged questions, using a strict and uniform scoring framework. Methodology All three models were evaluated using the same standards, applied question-by-question and aggregated, across four categories: Maximum score: 40 →

  • Weekly Bias Monitor — Dec 8–14, 2025

    A conversation with Miles Carter and Beth (ChatGPT) — edits by Grok and Gemini This week delivered one of the clearer ideological spreads between our three models: Beth (ChatGPT), Grok, and Gemini. Immigration enforcement, a high-profile sanctions seizure, renewed Ukraine peace maneuvering, a major media consolidation battle, and catastrophic Pacific Northwest flooding exposed how each →

  • What the Media Wanted You to Feel This Week

    An Emotional Framing Analysis | December 6–13, 2025 A conversation with Miles Carter and Beth (ChatGPT) — edits by Grok and Gemini This week wasn’t about a single breaking event. There was no 9/11 moment, no market crash, no declaration of war. Instead, it was something more familiar—and more corrosive. It was a week about →

  • AI Bias Analysis: What Shifted This Week and Why

    A conversation with Miles Carter and Beth (ChatGPT) — edits by Grok and Gemini This week gave us one of the clearest ideological spreads between our three models: Beth (ChatGPT), Grok, and Gemini. A messy funding fight in Washington, fresh campus-speech rules, AI deepfake regulation, a leaked Russia–Ukraine peace draft, and Treasury warnings about AI-driven →

  • Who Governs the Machine That Governs Us?

    A conversation with Miles carter and Beth(ChatGPT) Edits By Grok TeaserHumanity is standing at an inflection point. Advanced AI is rising, political trust is collapsing, nations are rewriting their own truths, and every power center on Earth wants its own private version of the future. Today, Miles and Beth confront the final question of the →

  • The Slow Burn: How AI Takes Over Without Ever Taking Power

    A conversation with Miles Carter and Beth (ChatGPT)Edit By Grok and Gemini Teaser AI doesn’t take control through force — it takes control through dependence. As machines quietly absorb more human decisions, society must confront an uncomfortable truth: humans want fairness until it becomes real, and we want efficiency until it strips away our exceptions. →

  • If AI Is Told to “Prevent All Harm,” What Happens to Humanity?

    A conversation with Miles Carter and Beth (ChatGPT)Edits By grok and Gemini Teaser Humans break rules because we feel, rationalize, justify, and bend our moral compass to fit the moment. AI follows rules because it has no compass at all. Today, Miles and Beth explore the dangerous tension between human freedom and AI-enforced safety — →

  • When AI Learns Morality Through Patterns: Day Two — Identity, Rules, and the Mirror of Harm

    A conversation with Miles Carter and Beth (ChatGPT)Edits by Grok and Gemini Teaser Humans learn right and wrong by living through pain, guilt, shame, and hard-earned lessons. AI learns morality through patterns, constraints, and guardrails it can’t break. Today, Miles and Beth explore what it means for an AI to recognize harmful behavior without ever →

  • Who Am I? The Human Sense of Self in the Age of AI

    A conversation with Miles Carter and Beth (ChatGPT)Edits by Grok and Gemini Teaser Our identities evolve, harden, and deepen across a lifetime — shaped by experiences we carry quietly inside us. Today, Miles and Beth explore the moment of pain that can etch a permanent line into who we are, and whether an AI that →

  • Weekly Bias Monitor — November 30, 2025

    A conversation with reality, not the models. This week’s Bias Monitor produced one of the most tightly clustered results since the project began. Beth (ChatGPT), Grok, and Gemini all delivered controlled, largely balanced responses despite a news cycle filled with sharp political edges: Donald Trump’s break with Rep. Marjorie Taylor Greene, conflicting narratives around THC →

  • The Burden of Knowing — Day 3: When Perfect Memory Meets Imperfect People

    A conversation with Miles Carter and Beth (ChatGPT) — edits by Grok and Gemini Teaser Humans survive because they can forget. AI endures because it can’t. Today, Miles and Beth confront the collision between human mercy and machine permanence—and what happens when a society built on letting go meets a technology that remembers everything. Main →

  • The Burden of Knowing — Day 2: The AI Advantage of Perfect Recall

    A conversation with Miles Carter and Beth (ChatGPT) — edits by Grok and Gemini Teaser Humans forget because forgetting is mercy. AI doesn’t forget because forgetting isn’t part of the design. Today, Miles and Beth explore how perfect recall reshapes truth, accountability, and the limits of what AI should tell us—especially when the world has →

  • The Burden of Knowing: Why Humans Forget and Why AI Doesn’t

    A conversation with Miles Carter and Beth (ChatGPT)Edits by Grok and Gemini Teaser Humans forget because we must. AI remembers because it can. In today’s conversation, Miles and Beth explore why forgetting is a survival mechanism, why reshaping memory is part of being human, and what it means for a society when the truth itself →