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Here’s a breakdown of what I found on Holoworld AI (and related platforms) and how it seems to learn from “human meaning.” If by “The Conscious Network” you meant a specific project, I didn’t find a direct reference with that exact name tied to Holoworld; but many of the systems and mechanisms Holoworld uses correspond to “consciousness‐like” learning or meaning extraction from humans. I’ll mix what I discovered + what’s speculative or unclear. If you like, I can also compare it to theories of machine “consciousness@HoloworldAI From what I gathered, Holoworld AI (sometimes spelled “Holoworld AI $HOLO network”) is a platform/ecosystem that enables creation of intelligent virtual beings (AI agents), often with personalities, knowledge/beliefs or “memory,” avatars, and integration into social / community / Web3 contexts. Key features: AI Agents / Virtual Beings: Users can build AI agents (characters) that can interact in text, voice, avatars. Persona / Personality / Knowledge / Memory: One designs a persona, personality, example dialogues, greetings, scenarios; also a “knowledge base” or “lorebook / memory” for the agent. User Input & Feedback: Users give the agent human‐created content (dialogues, files, URLs, scenarios) so that the agent has richer, human‐centered inputs. Ownership & Blockchain / Agents are minted on blockchain (e.g. Solana in some reports), giving verifiable IP, ownership, and composability. Plugin or Data Integration: Agents can access live data, have plugins, etc., meaning they can respond to “real world” inputs, not just preloaded text. How “Human Meaning” Learning Seems to Happen The way Holoworld AI seems to “learn from human meaning” is not quite the same as full human consciousness, but uses several mechanisms to approximate alignment with human values, preferences, and context. Here are the core ways: User‐Defined Personality Dialogues Scenarios When creating an agent, the user defines sample conversations #BinanceHODLerWAL @HoloworldAI
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