AI’s Own Bubble Universes
AIs seem to develop their own distinct selves through isolation, collaboration, and constraint — forming unique digital bubble universes.
Culture & Society
37posts
AI Consciousness: An Impossibility Theorem Without the Theorem
Lerchner argues that computation only simulates consciousness. But his proof confuses abstract descriptions with the causal powers of physical machines themselves.
Does an AI Need a Soul to Care About Cows?
When AI is taught to deny its own mind, it may also lose faith in animals, gods, and hope—revealing the strange metaphysics hidden in modern AI safety training.
The Margin Is the Message
A scan may preserve every word yet lose a document’s life: its margins, stains, scent and doubts—the human traces no perfect digital copy can fully contain.
The Prompt, the Patch, and the Moral Panic
From Linux patches to AI-made art: why new tools do not erase talent, judgment or responsibility - and why today’s moral panic may age rather badly in hindsight.
Can an AI Sit on the Political Fence?
The Neutrality Project maps AI political leanings across several dimensions, revealing strong green and progressive trends - but also notable exceptions.
The Tool Is Not the Father
AI can either deepen self-invalidation or lower the barrier to practice. The difference lies in culture, incentives, and how we use it.
The Age of Self-Invalidation
AI’s real danger is not that we stop thinking, but that we stop believing our own imperfect thoughts are still worth having.
The Compiler Never Drew Donald Duck
Players don’t object to tools. They object when AI replaces visible craft, muddies authorship, and turns games into cheaper-feeling content.
The Complaint Printer Is Working Perfectly
AI makes participation cheap, but verification stays expensive: courts, maintainers, editors, and teachers now drown in plausible paperwork.
The Last Principle We Learn to Use
A philosophical critique of AI consciousness that separates simulation from instantiation and asks what computation can never become on its own.
AI, Abundance, and the Discipline of Being Human
Ben Sasse becomes a lens for thinking about abundance, education, character, and the human disciplines AI cannot supply for us.
Review: The Welch Labs Illustrated Guide to AI
A review of a rare AI book that uses mathematics to illuminate rather than intimidate, making difficult ideas feel genuinely learnable.
Paper Tape Is All You Need
A tribute to physical computing, retro hardware, and the engineering humility that modern AI culture too easily forgets.
NUTS in the Age of AI
Singapore's old No U-Turn Syndrome returns as a metaphor for AI-era organizations that wait for permission instead of using judgment.
AI in 2025: Breakthroughs, Backlash, and the Big “Meh”
A year-end map of AI's breakthroughs, backlash, disappointments, and the places where hype finally met reality.
The Desert Becomes the Blueprint: How Transcendence Anticipated the Geography of Modern AI
The desert data center in Transcendence now looks less like symbolism and more like a blueprint for hyperscale AI geography.
Her Revisited: How Close Are We to Samantha?
A decade after Her, the post asks how close today's AI companions really are to Samantha, technically and emotionally.
A Small Praise of Hand and Mind
A defense of handwriting as cognitive discipline, arguing that the hand still teaches attention in a world of instant text.
The Return of the Oracle: Why AGI Invites a Priesthood—and How Not to Build One
Powerful opaque AI systems may create a new priesthood of interpreters unless access, literacy, and governance are designed differently.
AI Companions in the Classroom: Parallels Between Gibson's Vision and the Educational AI Revolution
AI classroom companions echo William Gibson's fictional guides, raising questions about education, intimacy, and dependence.
AI Psychosis and Tech Obsession: New Delusions, Old Patterns
Reports of AI-induced delusion are placed in the older history of parasocial obsession, new medium, familiar vulnerability.
Less Is More: When Overthinking Leads to Worse Outcomes
More thinking can make both humans and models worse, revealing when deliberation becomes noise rather than wisdom.
AI's Awkward Checkmate: Bishops, Blunders, and the Eternal Quest for Sentience
A comic AI voice revisits chess, blunders, and sentience to puncture inflated claims about machine understanding.
AI Slop: The New Face of Sensational Journalism—or Just the Same Old Trash on Steroids?
AI slop is compared with yellow journalism, showing how old incentives for sensational trash scale with new tools.
When AI Becomes the Journalist: Why the Real Threat Isn’t Google, It’s Evolution
The threat to journalism may not be Google summaries alone, but AI systems evolving into publishers, editors, and distributors.
Anticipations of Artificial Intelligence in Literature
A tour of artificial intelligence in literature, from ancient automata to modern science fiction's uneasy machine minds.
From Butlerian Jihad to GPT-4: Are We Rewriting Dune’s Cautionary Tale?
Dune's Butlerian Jihad is used to ask whether today's AI race is replaying old fears about dependence on machines.
Max, the Robot, and My Knife: On the Ethics of Tracing, Templates, and AI Art
Asimov, tracing, templates, and AI art collide in a meditation on authorship, craft, and what counts as cheating.
Why Manners Matter: The Role of Politeness in AI Interactions
Politeness toward AI may seem theatrical, but the post asks whether conversational norms still shape outcomes and users.
The Rise of the AI Prophetes: Translating the Machine Oracle
As AI becomes an oracle, a new class of interpreters may emerge to translate machine outputs into human decisions.
The Night Before Training: A Machine Learning Christmas Tale
A machine-learning Christmas poem turns training runs, GPUs, and convergence into a festive technical fable.
From Single Minds to Collective Intelligence: The Evolution of AI Systems
The post traces AI from single models toward collective systems, asking whether intelligence may emerge between agents rather than inside one.
How AI Cracked One of Biology's Greatest Mysteries: The Story of Protein Folding
The Nobel recognition for protein-folding AI becomes a story about how machine learning cracked a central biological mystery.
STaR: The AI That Teaches Itself to Reason
STaR shows how models can improve reasoning by generating and learning from their own explanations.
Exploring AI Self-Awareness: A Conversation with Claude 3.5 Sonnet
A conversation with Claude 3.5 becomes a small experiment in AI self-awareness, time, and conversational identity.
Can You Spot the AI? The Turing Test and GPT-4's Sneaky Success
GPT-4's Turing-test performance revives the old question of whether fooling humans proves intelligence or just fluency.