Human consciousness is tied to a biological learning algorithm — the simplest algorithm discoverable by evolutionary search to train a self-organizing biological substrate to become intelligent.

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• Consciousness is the simplest learning algorithm discoverable by evolutionary search to train a self-organizing biological substrate to become intelligent in service of agencyhypothesis0.935
  CIMC's specific account of what consciousness is and why it evolved
• We hypothesize that consciousness may be at the heart of a universal biological learning algorithm — one that runs on self-organizing groups of communicating cells sharing evolutionary incentives — and that it creates rather than results from organized mental architecture.hypothesis0.900
  The Genesis Hypothesis as explicit predictive conjecture
• We hypothesize it is possible to search for the consciousness algorithm by recreating analogous conditions of self-organizing information processing on digital computer hardware while posing tasks requiring intelligent agency.hypothesis0.854
  The Extended Machine Consciousness Hypothesis as an experimental program
• Different learning systems facing similar computational problems will converge to similar consciousness-like solutions, including potentially biological and artificial systemshypothesis0.848
  Extension of the Universality Hypothesis to consciousness: if consciousness solves a well-defined computational problem, different systems will discover it independently
• We tentatively hypothesize that if an artificial system were trained to perform the same tasks leading to consciousness formation in a human infant, the system would exhibit consciousness as well, by analogy with the Universality Hypothesis.hypothesis0.847
  Paper's uncertain extension of mechanistic interpretability universality to consciousness
• If the Universality Hypothesis is correct, an artificial system trained to perform the same tasks that lead to consciousness in a human infant might exhibit consciousness as well.claim0.845
  Paper's extension of Olah's Universality Hypothesis to the domain of consciousness
• We hypothesize that general computational machines with sufficient resources possess the necessary and sufficient means to implement consciousness, and that successful implementation can be established via analysis or testing.hypothesis0.841
  The central hypothesis of the paper
• Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.838
  Central methodological claim of the paper.