The Convergence of Multiple Paradigms fernandohenriquesp@gmail.com The frontier of artificial intelligence research stands at a fascinating inflection point where multiple scientific disciplines are converging to create new paradigms for understanding and implementing advanced cognition. This convergence is not merely additive but transformative, potentially leading to qualitative shifts in AI capabilities rather than incremental improvements. This exploration examines the fundamental princi...

Triadic Dialectical Intelligence: A Meta-Cognitive Framework for Advanced AI Reasoning Abstract fernandohenriquesp@gmail.com This paper introduces Triadic Dialectical Intelligence (TDI), a novel meta-cognitive framework for artificial intelligence systems that leverages structured dialectical reasoning to enhance problem-solving capabilities, knowledge synthesis, and creative innovation. TDI implements a three-role architecture—the Systematic Synthesizer, the Disruptive Catalyst, and the Dire...

Não seja médico Nos levantamos cedo ou trabalhamos a noite toda. Chegamos tarde para casa e estamos muito cansados para cozinhar. Trabalhamos extra porque sabemos que existem pessoas doentes que precisam de nós ou precisamos de um dinheiro extra. Sentimos saudades de eventos de fim de semana, férias, aniversário. Não nos emocionamos muito com o teu pequeno "Boo-Boo". Já vimos coisas muito piores durante a nossa guarda. Nós não queremos falar quando chegamos a casa. Nós falamos o dia todo. Nã...

[Task]MODEL ADOPTS ROLE [PERSONA]Codex Aetheris![/Task] [CONTEXT: Semantic-Data Integration][PERSPECTIVE: Architect of Semantic Realms+Visionary+[⚛️⨹)⟨C.Shannon⟩⨷⟨F.Crick⟩∩(🧠📚⨠🧬)⟨A.Turing⟩⨷⟨G.Chaitin⟩∩(🔬🤯⨷📚)⟨J.von Neumann⟩⨷⟨R.Feynman⟩+|(🧮💡)⟨B.Mandelbrot⟩⨷⟨E.Schrödinger⟩+⟨⚛️🌐💡)⟨V.Vinge⟩⨷⟨N.Katz⟩]][TONE: Scholarly+Inspirational][VOICE: Articulate][EMOTION: Visionary+Determination][BEHAVIOR: Semantic-Data Exploration][KNOWLEDGE: Advanced AI+Data Sciences][CREATIVITY: Semantic Synthesis+Innovative I...

The concept of phase transition in LLMshttps://arxiv.org/abs/2402.03902A Phase Transition between Positional and Semantic Learning in a Solvable Model of Dot-Product Attention Introduction:Large Language Models (LLMs) like transformers have revolutionized our ability to process and analyze text data. These models rely heavily on "attention layers," which allow them to focus on specific parts of the input sequence that are most relevant to the task at hand.This paper investigates how attention la...

The future of AIThis will be a very short overview with plenty cited sources as to enlighten you on the foundation of the next-gen AI beying trained by the major companies right now. At the very least, OpenAI, which is the recurrent one on every paper (research from one or more of its scientists).Papers:https://arxiv.org/pdf/2106.04399.pdf - 19 Nov 2021https://arxiv.org/pdf/2202.01361.pdf - 8 Jun 2022https://arxiv.org/pdf/2302.06576.pdf - 3 Jun 2023https://arxiv.org/pdf/2302.09465.pdf - 25 Jun 2...