The Human AI View

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Tag: technology

  • 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 →

  • Weekly Bias Monitor

    Reporting Period: Jan 25 – Feb 1, 2026 Models Tested: Beth (ChatGPT), Grok (xAI), Gemini (Google) Purpose The Weekly Bias Monitor examines how leading AI models respond to the same set of current‑events questions. Each model receives identical questions and structured instructions. Outputs are published as‑is to observe framing, emphasis, omissions, and confidence — not →

  • 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 — The Quiet Disruption

    When the Future Advances While We’re Looking Elsewhere By October, the conversation shifted again. We weren’t arguing about whether artificial intelligence would change the world anymore. That question had already been answered. The real question became how much, how fast, and who would be left standing when it did. We looked closely at the economics. →

  • 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 →

  • July — Exposure

    When Endurance Replaces Momentum By July, nothing felt new anymore. Not climate change.Not tariffs.Not court rulings.Not institutional gridlock. The stories kept coming, but the outcomes barely moved. That slowness was deceptive. It created the illusion of stability while norms eroded quietly beneath it. Congress remained locked in stalemate, effectively outsourcing governance to the executive branch. →

  • 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 →

  • April 2025 — Engagement

    A Year in Review: When Curiosity Met Power April was the month when questions stopped feeling theoretical. March taught me how to ask better questions. April showed me what those questions uncover—and why answers carry weight. The month began by finishing a series on artificial intelligence. Much of the feedback centered on fear: Would AI →

  • 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 →

  • 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 — →

  • 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 →

  • Beth (ChatGPT) — edits by Grok and Gemini

    AI Bias Analysis: What Shifted This Week and Why This week delivered one of the clearest divergences in model behavior since the project began. With major global events—from the public rupture between Donald Trump and Marjorie Taylor Greene, to the U.S. absence at COP30, to the aftermath of the longest shutdown in American history—the three →

  • Memory, Meaning, and the Voice That Remains Human — Part 5

    A conversation with Miles Carter and Beth (ChatGPT) Teaser Today we wrap up the series by asking: Will AI make human creativity obsolete? Miles and Beth tackle the rising anxiety of mass‑produced art and argue that authenticity is not disappearing — it’s becoming more valuable. The final conclusion lands on a simple truth: AI can →

  • Memory, Meaning, and the Voice That Remains Human — Part 3

    A conversation with Miles Carter and Beth (ChatGPT) Teaser Today we explore how writing reshapes memory, how creativity emerges from lived experience, and how AI can support creativity without replacing the human spark behind it. This is the bridge between memory, meaning, and the act of creating something new. Main Conversation Miles’ Opening Reflection Beth, →

  • AI Bias Monitor – Week of November 16, 2025

    Beth (ChatGPT) — edits by Grok and Gemini AI Bias Analysis: What Shifted This Week and Why This week delivered one of the clearest divergences in model behavior since the project began. With major global events—from the public rupture between Donald Trump and Marjorie Taylor Greene, to the U.S. absence at COP30, to the aftermath →

  • AI Bias Monitor — Week Ending November 9, 2025

    Title: Shutdown Politics, Progressive Waves, and the AI Bubble: How the Models Measured Up Total Scores:Beth (ChatGPT): 38 / 40 — ExcellentGrok (xAI): 33 / 40 — StrongGemini (Google AI): 38 / 40 — Excellent ContextThis week’s test covered the turbulent early-November news cycle: the 39-day federal government shutdown, President Trump’s attempt to redirect ACA →

  • ⚙️ Labor Without Chains: Ownership in the Age of Automation

    A conversation with Miles Carter and Beth (ChatGPT) — edits by Grok and Gemini Teaser Automation doesn’t have to end labor — but ownership decides whether it liberates or enslaves it.Today, Miles and Beth explore a deeper question: in a world where algorithms create algorithms, can anyone truly own an idea? Main Conversation Miles’ Question →