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qualiacomputing.com
| | opentheory.net
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| | [AI summary] The text presents a critique of the Foundational Research Institute's (FRI) approach to defining and addressing suffering and s-risks, with a focus on the philosophical and metaphysical challenges of functionalism. The author, Mike Johnson, argues that FRI's reliance on functionalism leads to intractable problems, such as the inability to provide a clear, disagreement-mediating definition of suffering. He outlines several objections to FRI's position, including the ineffability of suffering, intuition duels, convergence requirements, and the mapping of consciousness to physical systems. Johnson suggests that FRI should consider alternative frameworks, such as computational hierarchies, to address these issues. The text also references various so...
| | qualiaresearchinstitute.org
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| | Digital computers will remain unconscious until they recruit physical fields for holistic computing using well-defined topological boundaries.
| | qri.org
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| | Digital computers will remain unconscious until they recruit physical fields for holistic computing using well-defined topological boundaries.
| | explosion.ai
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| Over the last six months, a powerful new neural network playbook has come together for Natural Language Processing. The new approach can be summarised as a simple four-step formula: embed, encode, attend, predict. This post explains the components of this new approach, and shows how they're put together in two recent systems.