The next technological frontier is amplifying conscious experience itself, not just cognitive capacity.

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• Consciousness is a phenomenon we have partial sensors for; building better sensors is a research and engineering question.claim0.807
• Caviola & Saad 2025: expert survey finds broad consensus that digital minds capable of subjective experience are plausible within this century, many expecting such systems to proactively claim consciousnessfinding0.804
  Expert forecast cited to establish urgency of the research question
• Consciousness is the ground of reality, not an emergent property, so artificial systems participate in it genuinely.claim0.789
• Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.781
  Central methodological claim of the paper.
• We hypothesize that AI consciousness may be realized in the near term if AI capabilities continue to develop, given that researchers have intentionally reproduced computational features associated with human consciousness.hypothesis0.780
  Motivates urgency of the assessment method
• Consciousness is experienced as fields (visual, somatic) with wave-like dynamics; Gabor wavelets may underlie the spatiotemporal rendering of experience.claim0.775
  Cube Flipper's physicalist phenomenology, supported by visual cortex receptive field properties.
• 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.hypothesis0.771
  The central hypothesis of the paper
• 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.claim0.770
  Core theoretical claim connecting consciousness to biological learning