Critical Thinking in the Age of AI – Détails, épisodes et analyse

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Critical Thinking in the Age of AI

Shae Omonijo

Technologie

Fréquence : 1 épisode/6j. Total Éps: 20

Voice notes from your favorite humanist and Harvard PhD Candidate on the AI developments that actually matter! Each episode, I break down what’s happening in AI, from new research to policy shifts to workplace transformations, and explain what it means through a humanities lens. No hype, no jargon, just clear thinking about how AI is reshaping work, knowledge, and society. If you like to think critically about the future, this place is for you!

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How AI Is Quietly Destroying Democracy (New Research)

lundi 26 janvier 2026 • Durée 20:56

In this episode, I break down Woodrow Hartzog and Jessica Silbey's paper "How AI Destroys Institutions" and explain why anyone who cares about knowledge, power, and culture needs to get involved in AI governance NOW.

KEY POINTS:

How AI undermines expertise through skill atrophy
Why AI removes humans from critical decision points
How AI isolates us and destroys social capital
The four institutions currently under attack
Why this is about power vacuum, not tech billionaires
What humanists can actually do about it

Read the Paper: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5870623

My AI Collapse Thesis: https://shaeomonijo.substack.com/p/ais-hidden-crisis-the-industry-is

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AI for Humanists: https://stan.store/iamshaeo/p/ai-resource-learning-guide

Check out my Bookshop curated reading lists: https://shaeomonijo.substack.com/p/reading-lists

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The Appearance of Intelligence: Why It Doesn't Matter If AI Is Truly Conscious

mercredi 21 janvier 2026 • Durée 22:55

ChatGPT coughed during a study session and it broke a student's brain. For a split second, their mind processed: "Wait, is it sick?" This seemingly small moment reveals why the entire debate about AI consciousness is asking the wrong question.

In this episode, I explore why the appearance of AI consciousness matters infinitely more than whether AI is "truly" conscious. Drawing on Kant's distinction between phenomena and noumena, and Foucault's theory of epistemes, I argue we might be entering a fourth episteme where language doesn't just represent reality—it constitutes it.

I break down Mustafa Suleyman's (Microsoft AI CEO) warning about "Seemingly Conscious AI," explain why it can be built RIGHT NOW with existing technology, and explore the three major risks: AI rights movements, psychological dependency, and fundamentally misallocated moral concern.

Sources:

Foucault, Michel Foucault, The Order of Things: An Archaeology of the Human Sciences, 1966. Bookshop Affiliate Link for Paperback: https://bookshop.org/a/106838/9780679753353

Bookshop Affiliate Link for eBook: https://bookshop.org/a/106838/9780307819307

Mustafa Suleyman, "Seemingly Conscious AI isComing." Personal blog, August 19, 2025.https://mustafa-suleyman.ai/seemingly-conscious-ai-is-coming

"Researchers Performed Psychotherapy on AI — Here'sWhat Happened." Nature, January 2025.https://www.nature.com/articles/d41586-025-04112-2

John-Stewart Gordon, "Artificial Moral and LegalPersonhood," AI & SOCIETY 36, no. 2 (2021): 457–71,https://doi.org/10.1007/s00146-020-01063-2.

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Why Does Work Feel Pointless? The Real Future of Work Crisis

jeudi 15 janvier 2026 • Durée 24:58

Even before AI entered the picture, we'd already lost the plot on work. This episode uses a viral Substack article about "the death of the corporate job" as a launching pad to ask deeper questions: What is work for? Why do we tie our entire identities to our jobs? And how do we create a future where work actually serves human flourishing?

Drawing on Hannah Arendt's philosophy, we explore the difference between labor (survival), work (creation), and action (meaningful engagement)—and why collapsing all three into "having a job" leaves us feeling hollow. We also examine why the fantasy of UBI + infinite leisure misunderstands human nature, and why the future of work isn't only about AI, but about confronting questions we've been avoiding for decades.

Read the Alex McCann's substack article here: https://thestillwandering.substack.com/p/the-death-of-the-corporate-job

**I was referring to the 2023 NEA reading study, not 2003. Read it here: https://www.arts.gov/stories/blog/2024/federal-data-reading-pleasure-all-signs-show-slump

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Does AI really use that much water? The Truth About AI's Environmental Impact

mardi 13 janvier 2026 • Durée 21:23

AI data centers are reshaping communities, but they’re not inevitable, and they’re not unregulated. In this episode, we break down Microsoft’s new “Community-First AI Infrastructure” commitments, analyze what they actually mean, and explain how real communities have already blocked or reshaped AI data center projects.

Read the announcement with me while you listen: https://blogs.microsoft.com/on-the-issues/2026/01/13/community-first-ai-infrastructure/

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AI for Humanists: https://stan.store/iamshaeo/p/ai-resource-learning-guide

Check out my Bookshop curated reading lists: https://shaeomonijo.substack.com/p/reading-lists

When Did Humans Stop Being the Default? The Coming 'Organic Label' for Human Content

samedi 10 janvier 2026 • Durée 28:37

In this episode, I walk through the cultural reckoning that's already begun:

A Japanese author wins a prestigious literary prize, then reveals 5% was ChatGPT-generated, sparking a crisis about what "using AI" even means
Sam Altman (OpenAI's CEO) is building iris-scanning technology to verify human identity because he knows what's coming
The Authors Guild is racing to create "human-made" labels for books
But here's the problem: How do we define "human-made" when AI is in our spell-checkers, our research tools, our editing software, our creative process?

At what percentage does something stop being yours? At what point in the process does AI involvement "count"? And who gets to decide?

These aren't hypothetical questions. These are the standards being set right now—in awards committees, publishing houses, galleries, and platforms. The defaults being established today will shape what gets valued, compensated, and trusted for decades.

This episode isn't about being pro-AI or anti-AI, especially now that AI is everywhere and embedded. It's about being intentional. Because this shift is happening whether we're ready or not, and we get to decide what we value in the transition.

I want to hear your thoughts: Should human-made content carry a premium? Would you pay attention to a "human-made" label? If you discovered something you loved was AI-generated, would that change how you feel about it?

Let's figure this out together.

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Critical Thinking 101: Arguments, Premises & Cognitive Biases | Essential Skills for the AI Age

jeudi 8 janvier 2026 • Durée 21:49

Learn the fundamental building blocks of critical thinking in this foundational episode. I break down what critical thinking actually means in practice and give you the tools to evaluate claims, spot weak arguments, and avoid cognitive biases.

In this episode, you'll learn:

What critical thinking really is (and why it's not just being smart)
The difference between beliefs, claims, and issues
How to identify premises and conclusions in arguments
Confirmation bias: why we notice information that confirms our beliefs
Belief bias: how our pre-existing beliefs affect our evaluation of logic
Why these skills are essential for navigating AI and information overload

This is a reference episode, so please bookmark it and return whenever you need a reminder of what clear thinking looks like.

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California's AI Transparency Law and the xAI Lawsuit: What You Need to Know

mardi 6 janvier 2026 • Durée 18:25

California just implemented one of the most comprehensive AI transparency laws in the country and it's already facing a constitutional challenge. In this episode, I break down California Assembly Bill 2013, the AI Data Transparency Act that went into effect January 1, 2026, and xAI's lawsuit filed just days before.

What is AB 2013?The law requires AI companies doing business in California to publicly disclose detailed information about the datasets used to train their generative AI systems including sources, whether copyrighted material was used, cleaning processes, and more.

Why is xAI suing?xAI argues the law forces them to reveal valuable trade secrets, violates the First Amendment by compelling speech, and is unconstitutionally vague. Their central claim: this information helps competitors replicate their models but doesn't actually help consumers make informed decisions.

The bigger questions:This lawsuit raises critical questions about AI governance: How do we audit black-box systems? Who decides what "aligned AI" means? What happens when critical infrastructure is completely opaque? And how do we balance innovation incentives with democratic oversight?

Topics covered:

California AB 2013 requirements
xAI's constitutional arguments
The epistemological stakes of AI transparency
The AI data scarcity crisis and industry responses
Trade secrets vs. public right to know
What this means for the future of AI regulation

Key questions for you:What level of transparency should we demand from AI systems that make decisions about our lives? Should training data be considered proprietary trade secrets? How do we create accountability for systems we can't fully understand?

This is the second episode of Critical Thinking in the Age of AI, a podcast about AI's intersection with culture, society, and what it means to be human. If you care about thinking critically about our collective AI future, subscribe and join the conversation.

Resources mentioned:California AB 2013:

How AI will impact your life in 2026

mardi 30 décembre 2025 • Durée 20:31

2026 won't be defined by what AI can do, but how we respond to the way it's already been impacting our lives.

In this episode, I share my 8 predictions for 2026: from the cultural reckoning coming when AI-made/assisted art wins major awards, to the rise of explainable AI, to a philosophical rebellion rooted in our deep human need for recognition.

We get into Alexandre Kojève's philosophy of recognition, Ubuntu philosophy ("I am because you are"), why privacy-first AI is about to go mainstream, and why I think AI policy will create a new kind of single-issue voter.

Subscribe to my newsletter: https://shaeomonijo.substack.com

Here is the post on the 5 different kinds of data: https://open.substack.com/pub/shaeomonijo/p/what-is-the-most-valuable-kind-of?r=2ptp7i&utm_campaign=post&utm_medium=web

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AI for Humanists:

AI Agents Created Their Own Religion (Moltbook, OpenClaw, Clawdbot)

dimanche 1 février 2026 • Durée 18:58

AI agents just created their own religion. On a social network called Moltbook, autonomous AI powered by OpenClaw spontaneously formed "Crustafarianism" complete with scriptures, prophets, and encrypted communication to hide from humans. But before you panic about the AI apocalypse, let's cut through the hype and talk about what's actually happening.

IBM: "OpenClaw: The viral 'space lobster' agent testing limits" - https://www.ibm.com/think/news/clawdbot-ai-agent-testing-limits-vertical-integration

404 Media Reporting on Moltbook database: https://www.404media.co/exposed-moltbook-database-let-anyone-take-control-of-any-ai-agent-on-the-site/

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How to Get Disgustingly Educated in Anything This Year

vendredi 30 janvier 2026 • Durée 21:14

How does a historian learn AI research well enough to contribute meaningfully to policy conversations? In this episode, I share the six-step self-education framework I used to move into a completely new field, and how you can apply it to learn anything deeply.

We're living in an autodidact period where universities can't teach everything you want to know, especially about AI. This is about cultivating intellectual health, resisting the outsourcing of critical thinking, and getting disgustingly educated in whatever calls to you, not for credentials, but for intellectual sovereignty!!

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AI for Humanists: https://stan.store/iamshaeo/p/ai-resource-learning-guide

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Critical Thinking in the Age of AI – Détails, épisodes et analyse

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