Much like early computer games that offered infinite worlds from a few lines of procedural code, Simforge imagines a world where intelligent agents forge their own environments as part of cognition. Rather than training solely within static or designer-created simulations, Simforge proposes a lightweight architecture where synthetic worlds emerge dynamically from an agent’s reasoning needs . This…

As artificial agents proliferate across domains, evaluating their real-world value becomes both essential and challenging. Existing metrics often isolate performance, efficiency, or autonomy, but fail to provide a composite view. VALIA (Value Assessment Layer for Intelligent Agents) proposes a normalized, multi-criteria index to assess agents based on economic impact, technical reliability, operational efficiency, and cognitive resilience over…

Much like analog radio once reached the masses with a whisper of electricity and wire, From Darwin to Design proposes a model where species evolve not just through biology, but through progressively deeper layers of intelligence and consciousness. This is a proposal for a new conceptual architecture in evolutionary theory—one that treats wisdom as the highest payload, layered…

This repository introduces the original white paper proposing a new conceptual framework for the evolution of Artificial General Intelligence (AGI) based on curiosity-driven learning. Unlike traditional architectures that focus solely on reasoning from static information, Chain of Curiosity enables AI systems to actively seek knowledge, generate new hypotheses, and expand their understanding through recursive inquiry.Curiosity becomes the engine of cognition, not just…

In the fast‑moving world of generative AI, prompt engineering is equal parts art and science. Traditional workflows rely on a single author iterating in isolation, producing slow feedback loops and narrow perspectives [1]. We propose Collective Prompts: a real‑time, agent‑assisted framework that enables teams of humans and autonomous agents to create, refine and validate prompts collaboratively. A core…

This repository introduces the original white paper proposing a new conceptual framework for the evolution of Artificial General Intelligence (AGI) based on motivation-driven learning. Unlike traditional architectures that focus solely on reasoning or curiosity, Chain of Motivation enables AI systems to expand knowledge across domains by identifying motivational bridges between fields.Motivation becomes the catalyst for exploration, adaptation, and interdisciplinary understanding.…