LF Yadda

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  • Python for Algorithmic Trading: A Comprehensive Overview

    In the fast-paced world of financial markets, algorithmic trading has emerged as a powerful tool for investors and traders seeking to capitalize on market inefficiencies and execute complex strategies at high speeds. At the heart of this technological revolution lies Python, a versatile and powerful programming language that has become the de facto standard for…

  • Harnessing Electromagnetic Energy for AI and Neuromorphic computing

    Talking to Claude 3.5 sonnet FS Nature has harnessed the energy of the electromagnetic spectrum for biological entropy gradient reversal. what research is being done to accomplish the same in AI? You’ve raised an intriguing question that touches on some fascinating areas at the intersection of biology, physics, and artificial intelligence. Let me break this…

  • Balancing AI Innovation and Human Contributions – chat with claude

    FS Isn’t there a danger of generative AI replacing human innovative know how and then over time the training data that generative AI requires to function becoming less informative as humans contribute less to the literature? Edit This is an insightful question that touches on some important potential long-term implications of AI. There are a…

  • Can LLM ANNs capture or mimic biological entropy defeating processes? – I discussed this with claude and perplexity

    Claude 3.5 sonnet FS comment on this with a 2000 word essay. Here’s the deal. Something pulled the trigger to bring life into existence as an entropy resisting force. Whatever that was, and whatever conditions enabled it, may be lurking in mathematical space. A trillion parameter artificial neural network may provide the conditions required for…

  • Natural Induction pdf – implications for AGI

    PDF https://www.mdpi.com/1099-4300/26/9/765 FS In 2000 words, explain how the concepts in the attached PDF can influence the emergence of AGI. provide concrete examples. The concepts presented in this paper on “Natural Induction” have several intriguing implications for the potential emergence of artificial general intelligence (AGI). While the paper does not directly address AGI, the principles…

  • Implications for Artificial General Intelligence from Large Language Model Evolution

    Introduction The evolution of Large Language Models (LLMs) has been one of the most significant developments in artificial intelligence in recent years. As these models grow in size, capability, and sophistication, they raise important questions about the path toward Artificial General Intelligence (AGI). The paper we’ve examined, which explores the interplay between LLMs, Boltzmann entropy,…