Coming soon: a new systems‑theoretical approach exploring
• low‑entropy background attractors
• distributed pre‑modern system intelligence
• transgenerational cultural coherence
• substrate‑independent identity architectures
• functional coupling as epigenetic resource
• emergent identity stabilization
• systemic resonance fields
#SystemsTheory #ComplexityScience #InformationTheory #CognitiveArchitecture #Emergence #Anthropology #AIResearch
Approached through a systems‑theoretical lens, the Ahu–Moai of Rapa Nui function as low‑entropy background attractors — distributed pre‑modern 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 Ahu–Moai‑Systeme (DOI: 10.5281/zenodo.18369131). It presents the complete English version of a network‑based structural model that reconstructs the functional architecture of the Ahu–Moai system on Rapa Nui. Developed through Systemic Pattern‑Structural Analysis (SMSA), the study integrates architectural, spatial, mechanical, and organisational indicators into a coherent functional interpretation of the island‑wide node–vector 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 Ahu–Moai system• the node–vector framework and systemic reconstruction logic• transport mechanics and infrastructural organisation• the structural synthesis of coastal, social, and navigational functions• the glossary of system‑specific 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.
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 […]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.
Meaning may be "irrelevant" to C. E. Shannon's "Mathematical Theory of Communication", but context is not: the transmission of a message begins with an "information source" and arrives at a "destination." The distance between these two contexts, the source and the destination, creates the possibility of interference in the transmission
Cheat-Sheet: Information theory and coding
Here is the cheat sheet for Information theory and coding. You can also choose to use the PDF version. Please inform me if you spot errors. Use the cheat-sheet at your own risk. There are no guarantees in life! ITC CheatsheetDownloadhttps://bharadwajls.space/tech/cheat-sheet-information-theory-and-coding/
Bernd von Mallinckrodt 🦋
J. A. Jones
KAPUALabs
Leon Furze
katch wreck
Reel Tubes
Bob the Traveler
Andrew Shields
Bharadwaj LS