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RT jpmayall: #Article Bitcoin as Validation of the Regression Theorem: An Austrian Synthesis with Szabo and Ammous
Author: J. P. Mayall
Abstract
At the intersection of Austrian economics and digital innovation, Bitcoin exemplifies a new form of money that validates classical theories of monetary emergence. This essay synthesizes the views of Menger, Mises, Rothbard, and Hayek with those of Nick Szabo and Saifedean Ammous, analyzing Bitcoin as a technological collectible that progresses into sound money through spontaneous order, cryptographic trust, and ideological appeal. Drawing on anthropology, economic history, and game theory, it defends Bitcoin's compliance with the regression theorem and critiques materialist objections by refocusing on subjective value, symbolic utility, and decentralized sovereignty.
Keywords: Austrian School of Economics, Bitcoin, Regression Theorem, Monetary Theory, Cryptocurrency, Game Theory Applications, Subjective Value Theory
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RT jpmayall: #Article Bitcoin as Validation of the Regression Theorem: An Austrian Synthesis with Szabo and Ammous
Author: J. P. Mayall
Abstract
At the intersection of Austrian economics and digital innovation, Bitcoin exemplifies a new form of money that validates classical theories of monetary emergence. This essay synthesizes the views of Menger, Mises, Rothbard, and Hayek with those of Nick Szabo and Saifedean Ammous, analyzing Bitcoin as a technological collectible that progresses into sound money through spontaneous order, cryptographic trust, and ideological appeal. Drawing on anthropology, economic history, and game theory, it defends Bitcoin's compliance with the regression theorem and critiques materialist objections by refocusing on subjective value, symbolic utility, and decentralized sovereignty.
Keywords: Austrian School of Economics, Bitcoin, Regression Theorem, Monetary Theory, Cryptocurrency, Game Theory Applications, Subjective Value Theory
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LangGraph 101: Let’s Build A Deep Research Agent
#Article #LargeLanguageModels #AgenticAi #AiAgent #ArtificialIntelligence #Editors #Llm_Agent
via Towards Data Science
#Article #LargeLanguageModels #AgenticAi #AiAgent #ArtificialIntelligence #Editors #Llm_Agent
via Towards Data Science
Telegraph
LangGraph 101: Let’s Build A Deep Research Agent
Learn LangGraph fundamentals from Google’s open-source full-stack implementation The post LangGraph 101: Let’s Build A Deep Research Agent appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source
How to Create Powerful LLM Applications with Context Engineering
#Article #Large_Language_Models #Context_Engineering #Llm #Llm_Applications #Machine_Learning #Programming
via Towards Data Science
#Article #Large_Language_Models #Context_Engineering #Llm #Llm_Applications #Machine_Learning #Programming
via Towards Data Science
Telegraph
How to Create Powerful LLM Applications with Context Enginee…
Improve your LLM by optimizing its context The post How to Create Powerful LLM Applications with Context Engineering appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source
How to Correctly Apply Limits on the Result in DAX (and SQL)
#Article #DataScience #DataAnalysis #Dax #Daxl #PowerBi #Sql
via Towards Data Science
#Article #DataScience #DataAnalysis #Dax #Daxl #PowerBi #Sql
via Towards Data Science
Telegraph
How to Correctly Apply Limits on the Result in DAX (and SQL)
What if the output of a measure mustn’t be above a specific limit? How can we ensure that the total is calculated correctly? This piece is about correctly calculating and summarizing such output. The post How to Correctly Apply Limits on the Result in DAX…
Maximizing AI/ML Model Performance with PyTorch Compilation
#Article #MachineLearning #ArtificialIntelligence #DeepLearning #Python #Pytorch
via Towards Data Science
#Article #MachineLearning #ArtificialIntelligence #DeepLearning #Python #Pytorch
via Towards Data Science
Telegraph
Maximizing AI/ML Model Performance with PyTorch Compilation
Since its inception in PyTorch 2.0 in March 2023, the evolution of torch.compile has been one of the most exciting things to follow. Given that PyTorch’s popularity was due to its “Pythonic” nature, its ease of use, and its line-by-line (a.k.a., eager) execution…
Modular Arithmetic in Data Science
#Article #Data_Science #Deep_Dives #Machine_Learning #Mathematics #Modular #Python
via Towards Data Science
#Article #Data_Science #Deep_Dives #Machine_Learning #Mathematics #Modular #Python
via Towards Data Science
Telegraph
Modular Arithmetic in Data Science
Modular arithmetic is a mathematical system where numbers cycle back to the beginning after reaching a value called the modulus. The system is often referred to as “clock arithmetic” due to its similarity to how analog 12-hour clocks represent time. This…