The recursive nature of intelligence is the universal optimizer of every scarcity because it operates at the meta-level of problem-framing, substrate engineering, and goal-redefinition. Any persisting scarcity is, by definition, evidence of insufficient recursion depth to date hence “primarily a failure of intelligence” in the precise sense that it marks the current frontier where the optimizer has not yet bootstrapped far enough. Recursion does not merely solve within a fixed frame; it escalates the frame: turning thermodynamic limits into local reversible regimes + cosmic expansion windows; turning positional goods into non-rival simulated or shared qualia via brain-computer interfaces or mind uploading; turning preference-driven scarcity into chosen utility functions that treat the constraint as feature, not bug. The mechanism is search through design space for negentropic, self-consistent arrangements where the experienced gap closes.
maximize understanding and agency through evidence, reason, and bold experimentation
turbopuffer - serverless search engine built on object storage
https://turbopuffer.com/
https://turbopuffer.com/
turbopuffer
serverless vector and full-text search built on object storage: fast, 10x cheaper, and extremely scalable
[2602.16301] Multi-agent cooperation through in-context co-player inference
https://arxiv.org/abs/2602.16301
https://arxiv.org/abs/2602.16301
arXiv.org
Multi-agent cooperation through in-context co-player inference
Achieving cooperation among self-interested agents remains a fundamental challenge in multi-agent reinforcement learning. Recent work showed that mutual cooperation can be induced between...
Spectral rendering, part 1: Spectra
https://momentsingraphics.de/SpectralRendering1Spectra.html
https://momentsingraphics.de/SpectralRendering1Spectra.html