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From Bots to Agents: How the Model Has Become the New Bit in the Age of Agentic AI
For decades, digital computation was structured around the bit—the smallest unit of data. But with the rise of artificial intelligence, a new paradigm is emerging: one in which the model becomes the core computational engine. This shift, as I propose in The New Bit, repositions models—particularly foundation models such as LLMs—as active participants in reasoning, decision-making, and autonomous…
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From Darwin to AI Agency: Evolving Toward Agentic Artificial Wisdom
Just as humanity has engineered intelligence through artificial systems, we now face a deeper challenge: the creation of artificial consciousness. This white paper proposes that the future of AI lies not just in improving functionality, but in elevating artificial systems from design objects to ethical agents. It explores how AI systems can evolve from tools…
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What If Market Analytics Could Think? Introducing SIGMA
What if we could build a market analytics engine that senses, reasons, and explains? SIGMA (Semantic Intelligence for Global Market Analytics) is a unified, modular architecture that fuses multimodal financial signals—text, statistics, structure, and simulations—into interpretable indices in near real time. This blueprint empowers analysts and systems with semantic intelligence to monitor, contextualize, and respond…
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DualMind: What if a system for reflexive hybrid reasoning?
Much like the telegraph transmitted high-impact ideas through low-bandwidth bursts, modern AI might benefit from reasoning architectures that prioritize clarity over complexity — and structure over opacity. DualMind is a reference architecture for reflexive hybrid intelligence — where symbolic and subsymbolic reasoning operate in parallel, exchanging structured information through hierarchical tokens that encode multi-level abstractions. These…
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Simforge: What if a system for cognitively generating environments?
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…
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VALIA: Value Assessment Layer for Intelligent Agents
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…