The reading room
AI ideas from original sources
An idea page explains a concept, theory or proposal: where it comes from, what supports it, the objections and the open questions. We update it when new material changes the explanation. How our formats work
The idea library
17 ideasMaking a living versus a reason to live: a post-work argument
Peter Diamandis and Salim Ismail argued that if AI and robots do the work, people can find meaning in connection and shared purpose.
Updated Oct 17, 2026 IdeaProposal: build AI alignment into training data from the start
On Moonshots, Emad Mostaque said AI could be aligned from inception by designing training data like a child's curriculum, and Salim Ismail welcomed the idea.
Updated Oct 17, 2026 IdeaIncentive prizes: the case for paying only after someone succeeds
Incentive prizes pay only once a measurable target is met, which XPRIZE's Peter Diamandis and Anousheh Ansari argue draws in outsiders.
Updated Oct 17, 2026 IdeaAI whistleblowers: a proposal with an unsolved equilibrium
Alan Chan of GovAI proposes that AI systems be able to report misconduct they find. He would measure the tendency and give models an out, but not mandate it.
Updated Oct 14, 2026 IdeaThe mitochondria model: aligning AI through mutual dependence
Eric Weinstein proposes that humans and AI become essential to each other, like mitochondria and the cell, instead of humans trying to control AI.
Updated Oct 12, 2026 IdeaWhy AI alignment may be a hard science problem, not a myth
Palisade Research's Jeffrey Ladish argues that making superintelligent AI care about people is a hard but possible scientific problem that nobody yet knows how to solve.
Updated Oct 8, 2026 IdeaThe case for PhD research bets that look trivial or pointless
MIT PhD student Alex Zhang argues that academics should chase ideas industry ignores and that a puzzled reaction can be a good sign.
Updated Oct 2, 2026 IdeaAI monoculture: when similar answers become a resilience question
The AI monoculture argument holds that models converging on similar answers and styles may share blind spots.
Updated Sep 29, 2026 IdeaThe case for proof certificates on AI-generated code, and its catch
AI-generated code will increasingly carry machine-checked proofs of correctness, Robinhood CEO Vlad Tenev argued.
Updated Sep 19, 2026 IdeaDefensive co-scaling: the proposal that AI defenses grow with AI
Defensive co-scaling proposes that AI defenses, including AIs policing AIs, grow with AI capability rather than slowing models.
Updated Sep 19, 2026 IdeaAI advantage may lie in the inner loop, not the model
The inner-loop thesis holds that AI advantage may lie in how fast organizations ship, measure and learn, not in the best model.
Updated Sep 14, 2026 IdeaCoasean singularity: why firms exist if agents make deals nearly free
The Coasean singularity asks what happens to firms if AI agents make deals nearly free.
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