The AI Paradox

In a world, where to cost of answers is dropping to zero, the value of the question becomes everything...

Learn the hard way, click https://boot.dev/?promo=ART and use my code ART to get 25% off your first payment for boot.dev.

Recently I was offered to be replaced by AI. Like a "magic gumball machine" they said. That led to a question: what do you need me for? This forced me back to something ancient: what human thought actually is for...This video explores the generation effect and AI's impact on our mind (for better and worse).

JOIN MY SECRET CLUB/EMAIL LIST: https://forms.gle/TGgmnqXcP4KUFBRY6
Consider supporing via Patreon: https://www.patreon.com/c/artoftheproblem
Or via YouTube Member: https://www.youtube.com/@ArtOfTheProblem/join

SOURCES & RESEARCH:
Cognitive Effects & Memory:

MIT Media Lab Study (2025) - "Your Brain on ChatGPT" - Nataliya Kosmyna et al. (EEG study on brain connectivity and digital amnesia)
Generation Effect research (psychology/cognitive science, 1970s+)
The Lancet (2024/2025) - Study on doctors losing diagnostic ability after 4 months of LLM use

AI & Creative Homogenization:

"Generative AI enhances individual creativity but reduces the collective diversity of novel content" - Science Advances (2024) - Doshi & Hauser, UCL/Exeter study
"Echoes in AI: Quantifying lack of plot diversity in LLM outputs" - PNAS (2025) - Xu et al.
"Using Generative AI Personas Increases Collective Diversity in Human Ideation" - Wan & Kalman (2025)

Cognitive Friction & Decision-Making:

"Biased AI improves human decision-making but reduces trust" - Lai et al. (August 2025)
"From humans to AI: understanding why AI is perceived as the preferred co-creation partner" - Min Tang "Fork Study" (Journal of Creative Behavior, 2024)

Inner Speech & Cognition:

Charles Fernyhough research on inner speech and self-talk
Andy Murray tennis final case study (self-regulation through inner dialogue)
Descriptive Experience Sampling research

Business Applications:

"Can AI Boards Outperform Human Ones?" - Harvard Business Review (November 2025) - CEO AI decision-making study

Methodology:

Ines Lee Protocol for human-AI collaboration
Anthropic research on Claude model features (Trenton Bricken et al.)
Andrej Karpathy on LLMs as "humanity's first contact with non-animal intelligence"


0:30 Socrates and the Fear of Writing
1:29 Ancient Wisdom: Talmud and Buddhist Koans
1:58 Vygotsky: Thinking is Talking
3:28 The Generation Effect
4:34 Why Tracing Isn't Drawing
5:21 The Paradox of Technology
6:23 Brain Atrophy: Taxi Drivers and GPS
7:32 The Irony: We Taught Machines to Learn Like Us
8:22 MIT Study: AI and Brain Activity
9:56 Thought Space as an Infinite Tree
10:40 The AI Personas Experiment
11:43 The Weighted Dice of AI Thought
13:07 Divergent vs Convergent Thinking
13:27 Human First vs AI First
15:44 The Value of the Question