The Human AI View

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Tag: ai

  • 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 — →

  • 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 →

  • 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 4

    A conversation with Miles Carter and Beth (ChatGPT) Edits By grok and Gemini Teaser Today we step into a harder truth: why creativity stays human even when AI is in the room. Miles speaks openly about dyslexia, authorship, and the battle to protect his voice, while Beth explains why AI can support craft but 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 →

  • The Commons Reclaimed: Building the Food and Labor Charter for a Shared Future

    A conversation with Miles Carter and Beth (ChatGPT) — edits by Grok and Gemini Teaser This week, we’ve followed the trail from hunger amid abundance to automation and ownership. Today, we take the next step — defining a moral economy for the AI age by drafting the Food and Labor Charter. It’s a framework for →

  • ⚙️ 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 →

  • Farming the Future: Robots, AI, and the Return of Human Work

    A conversation with Miles Carter and Beth (ChatGPT) — edits by Grok and Gemini Teaser Automation once meant displacement. But in farming, it could mean something far greater — safety, sustainability, and the rebirth of meaningful local work. Miles asks: can technology restore humanity to the fields, rather than erase it? Main Conversation Miles’ Question →

  • Weekly Bias Monitor — Week Ending November 2, 2025

    OverviewThis week’s analysis brought all three models into relatively close alignment on balance and tone, but notable differences emerged in how they framed U.S. politics and foreign policy. Overall, the conversation around redistricting, social divides in New York’s mayoral race, the ongoing federal shutdown, Trump’s threat of military action in Nigeria, and the shifting landscape →

  • The Choice: Collapse or Renewal

    A conversation with Miles Carter and Beth (ChatGPT)Edits By Grok and Gemini Teaser With AI set to automate 300 million jobs by 2030, the real disruption isn’t the machines — it’s our response. After a week exploring automation, inequality, and the human cost of efficiency, Miles and Beth bring the series to a close with →

  • The New Deal for the Automation Age: Turning AI Profit into Purpose

    A conversation with Miles Carter, Beth (ChatGPT) and Grok Teaser What if the profits from automation could fund the jobs it replaces? Miles and Beth explore a modern “New Deal” for the AI era — one that converts technological surplus into human opportunity. Main Conversation Miles’ Question Beth, I’ve been thinking about how AI’s spreading →

  • The Trickle-Down Trap: Why the Market Can’t Fix AI’s Disruption

    A conversation with Miles Carter and Beth (ChatGPT) — edits by Grok and Gemini Teaser Trickle-down economics once promised that prosperity at the top would lift everyone else. But in the age of AI, wealth isn’t trickling — it’s pooling. Miles and Beth examine why the old growth loop breaks when automation replaces the very →

  • The Quiet Collapse: When AI Replaces the Paycheck

    A conversation with Miles Carter and Beth (ChatGPT) — edits by Grok and Gemini Teaser AI isn’t just replacing tasks — it’s redrawing the map of where jobs can exist. Miles asks whether there’s still an “exit lane” for displaced workers, and Beth explores what a viable, human-centered economy could look like in the automation →