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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... JOIN my email list so I don't lose you: https://forms.gle/TGgmnqXcP4KUFBRY6 Consider supporing via Patreon: / artoftheproblem Based on your script, here's a comprehensive list of research sources for your YouTube description: 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 AI Reasoning & Test-Time Compute: OpenAI o1 (Strawberry) and Google Gemini "Thinking" models documentation Test-time reasoning and chain of thought 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 The New Yorker - "What Kind of Mind Does ChatGPT Have?" (context on AI capabilities) Additional Resources: Anthropic research on Claude model features (Trenton Bricken et al.) Andrej Karpathy on LLMs as "humanity's first contact with non-animal intelligence"