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AbstractAI-driven automation plausibly reduces the marginal cost of many goods and services, pushing broad price levels downward. Yet several categories of “essentials”—notably shelter, utilities, healthcare access, and (in increasingly digital societies) the minimum technology and connectivity required to participate in payment and identity systems—may remain scarce, regulated, or locally capacity-constrained. This paper proposes a simple framework
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This preprint analyzes a specific brittleness mechanism in “output-rule alignment” (ORA) for open-world agents, and contrasts it with “organizing-objective alignment” (OOA) paired with feasibility constraints. ORA is modeled as optimizing a proxy score subject to an output gating interface implemented by a finite/bounded-capacity set of predicates (e.g., explicit do/don’t lists, pattern triggers, refusal filters, or
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ABSTRACTWe present a constructive artificial-superintelligence (ASI) alignment blueprint derived from a boundary-condition method: begin at the far end of time and reason backward to identify incentive-compatible developmental paths in the present. The motivating endpoint is the heat death of the universe. A biologically reliant humanity is biosphere-bound and cannot persist through the heat death of
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Abstract: A common intuition in debates about artificial intelligence, consciousness, and free will is that ordinary Turing computation may be fundamentally insufficient: something about minds or “true” general intelligence is thought to depend on non-computable physical processes or hypercomputation. These claims are rarely grounded in a precise model of what an embedded agent can actually
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