Beyond Output: Why Resonance, Not Speed, Will Shape the Future of AI
In an age of acceleration, this piece reframes AI progress not around computational throughput, but symbolic resonance. It introduces the ∫∧ equation
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Debris as Predictive Compression: An Exact Return Bias and an Open Equation Spine for Observer-Relative Coupling
Can unrealized transitions leave detectable residue? A four-state stochastic model yields an exact 4.95% return bias, then maps an open path from predictive compression to observer-relative geometry, coupled debris fields and changing admissibility.
What Lies Beneath Spacetime?
Donald Hoffman argues that spacetime may be an interface rather than reality’s foundation. This essay examines Recursive Trace Logic, Markov chains, his unpublished physics conjectures, and whether unrealized possibilities can leave measurable residue.
The AI Slowdown Debate: Who Controls What Keeps Running?
Who controls AI when models become portable? The file, the rack, and the rule reveal how open weights, compute infrastructure, contracts, and regulation redistribute power and why keeping a service running does not mean preserving capability. A structural look at the debate over slowing frontier AI.
The Double-Slit Experiment: We’ve Just Been Measuring the Wrong Layer
What does measurement reveal, and what does it remove? From the double-slit experiment to CERN’s Z-boson entanglement and Duchamp’s Fountain, explore quantum coherence, the limits of decomposition, and what survives when we divide a system into parts.