mlsanityData to 14 Oct 2026

Evolution-Bootstrapped Simulation: Artificial or Human Intelligence: Which Came First?

arXiv 2402.00030 ↗First posted 6 Jan 2024cs.NE cs.AI q-bio.PEcited by 0

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Abstract (arXiv)

Humans have created artificial intelligence (AI), not the other way around. This statement is deceptively obvious. In this note, we decided to challenge this statement as a small, lighthearted Gedankenexperiment. We ask a simple question: in a world driven by evolution by natural selection, would neural networks or humans be likely to evolve first? We compare the Solomonoff--Kolmogorov--Chaitin complexity of the two and find neural networks (even LLMs) to be significantly simpler than humans. Further, we claim that it is unnecessary for any complex human-made equipment to exist for there to be neural networks. Neural networks may have evolved as naturally occurring objects before humans did as a form of chemical reaction-based or enzyme-based computation. Now that we know that neural networks can pass the Turing test and suspect that they may be capable of superintelligence, we ask whether the natural evolution of neural networks could lead from pure evolution by natural selection to what we call evolution-bootstrapped simulation. The evolution of neural networks does not involve irreducible complexity; would easily allow irreducible complexity to exist in the evolution-bootstrapped simulation; is a falsifiable scientific hypothesis; and is independent of / orthogonal to the issue of intelligent design.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 50 references that are in the map. First posted on arXiv 6 Jan 2024.

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2 of 50 references.

References · 2

  1. 2016Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagationcited by 259
  2. 2023Humans are Still Better than ChatGPT: Case of the IEEEXtreme Competitioncited by 5

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