Coming soon: a new systemsâtheoretical approach exploring
⢠lowâentropy background attractors
⢠distributed preâmodern system intelligence
⢠transgenerational cultural coherence
⢠substrateâindependent identity architectures
⢠functional coupling as epigenetic resource
⢠emergent identity stabilization
⢠systemic resonance fields
#SystemsTheory #ComplexityScience #InformationTheory #CognitiveArchitecture #Emergence #Anthropology #AIResearch
Approached through a systemsâtheoretical lens, the AhuâMoai of Rapa Nui function as lowâentropy background attractors â distributed preâmodern system intelligence maintaining transgenerational cultural coherence.
International edition (DOI): https://doi.org/10.5281/zenodo.18427519
German edition (DOI): https://doi.org/10.5281/zenodo.18369132
#AhuMoai #RapaNui #SystemsTheory #ComplexityScience #InformationTheory #CulturalEvolution #Anthropology #Archaeology
This document is the authorised international edition of the study Struktur und Funktion der AhuâMoaiâSysteme (DOI: 10.5281/zenodo.18369131). It presents the complete English version of a networkâbased structural model that reconstructs the functional architecture of the AhuâMoai system on Rapa Nui. Developed through Systemic PatternâStructural Analysis (SMSA), the study integrates architectural, spatial, mechanical, and organisational indicators into a coherent functional interpretation of the islandâwide nodeâvector network. The international edition is technically equivalent to the German version but does not constitute the version of record. It provides a fully translated and editorially harmonised presentation of all analytical components, including:⢠the functional architecture of the AhuâMoai system⢠the nodeâvector framework and systemic reconstruction logic⢠transport mechanics and infrastructural organisation⢠the structural synthesis of coastal, social, and navigational functions⢠the glossary of systemâspecific terminology⢠all maps, figures, and systemic visualisations Version 1.0.0 int represents the stable release of the international edition.The document is intended for researchers, system theorists, archaeologists, and readers interested in functional modelling of historical infrastructures.
Silence is not the absence of signal. Silence IS a signal.
The pause in the conversation carries meaning that words cannot carry. The rest in the music defines the notes around it.
Emptiness contains fullness. This is not mysticism â it is information theory. A completely random signal carries maximum information. A signal that says nothing contains the potential for everything.
A Brief History of Artificial Intelligence
Like any complex technology, Artificial Intelligence has its roots in a number of fields. From philosophy to computer science, mathematics to linguistics, tracing the history of AI and automation is a difficult business. The field was officially named in the 1950s, but ideas about automated machines have existed since long before then. This is a history of the development of Artificial Intelligence from some of its earliest philosophical and theoretical inceptions through to modern day [âŚ]https://leonfurze.com/2023/02/11/a-brief-history-of-artificial-intelligence/
"We argue that the expansion of the token budget does not resolve a deeper constraint: under structural uncertainty, the decisive variable is not how many questions can be answered but which questions are worth asking -- a problem of agency and direction that computation alone cannot solve."
https://arxiv.org/abs/2603.06630
#LLM #physics #informationTheory #thermodynamics #emtropy #economics
Debates about artificial intelligence capabilities and risks are often conducted without quantitative grounding. This paper applies the methodology of MacKay (2009) -- who reframed energy policy as arithmetic -- to the economy of AI computation. We define the token, the elementary unit of large language model input and output, as a physical quantity with measurable thermodynamic cost. Using Landauer's principle, Shannon's channel capacity, and current infrastructure data, we construct a supply-and-demand balance sheet for global token production. We then derive a finite question budget: the number of meaningful queries humanity can direct at AI systems under physical, information-theoretic, and economic constraints. We apply Coase's theory of the firm and the durable-goods monopoly problem to the AI value chain -- from photon to atom to chip to power to token to question -- to identify where economic value concentrates and where regulatory intervention is warranted. We argue that the expansion of the token budget does not resolve a deeper constraint: under structural uncertainty, the decisive variable is not how many questions can be answered but which questions are worth asking -- a problem of agency and direction that computation alone cannot solve. We connect limits of measurement in the token economy to a structural parallel between Goodhart's law and the Heisenberg uncertainty principle, and to Arrow's impossibility result for efficient information pricing. The framework yields order-of-magnitude estimates that discipline policy discussion: at current efficiency, the projected 2028 US AI energy allocation of 326~TWh could support roughly $6.5 \times 10^{17}$ tokens per year, or 225,000 tokens per person per day -- more than three orders of magnitude above estimated mid-2024 utilization.
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