This paper challenges the traditional "singularity" concept of a single, all-powerful AI, proposing instead that the next intelligence explosion will be plural, social, and deeply intertwined with human intelligence. The authors highlight recent advances in agentic AI, demonstrating that intelligence fundamentally involves the interaction of diverse perspectives and emerges from social organization. They present evidence of "societies of thought" within reasoning models, where internal debates and multi-agent interactions enhance accuracy. The paper draws parallels to previous intelligence explosions, emphasizing the importance of scaling not just computational power, but also the social infrastructure—institutions, norms, and protocols—that govern these systems.
This article explores the Boltzmann brain hypothesis, the time-asymmetry of memory, and the second law of thermodynamics, formalizing their relationships within a time-symmetric, time-translation invariant Markov process framework. It disentangles these concepts to avoid circular reasoning and offers a novel formal approach to their investigation.
A new paper by SFI Professor David Wolpert introduces a mathematically precise framework for the simulation hypothesis, challenging several long-standing claims and opening up new questions about simulated universes.
Physicists and computer scientists are using stochastic thermodynamics to understand the energy costs of computation, with implications for designing more energy-efficient devices.
