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Overview You are building a multi-agent AI cluster using RWKV-7 models. Your focus is on low-resource, efficient models that support long-term memory, recursion, and modular specialization. You’re using RWKV due…
Read moreAs AI models evolve from isolated tools into collective, emergent systems, the need for persistent memory, conceptual interoperability, and coordinated self-refinement becomes critical. This paper proposes a novel architecture: a…
Read more📍 Introduction: From Textual Fluency to Embodied Cognition Large Language Models (LLMs) like GPT or Gemini speak with remarkable fluency, but even the brightest AI luminaries admit: language alone is…
Read moreAt YARIAN.COM, we don’t just study artificial intelligence — we grow it. One of the powerful inspirations behind our self-evolving AI cluster is how ants, neurons, and even living cells…
Read moreIntroduction: The limitations of language-only AI For years, Large Language Models (LLMs) like GPT have dazzled us with their textual prowess. Yet experts, including Stanford’s Fei‑Fei Li and Meta’s…
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