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Ashraf channa jan
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好

CryptoElla007
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SOL 長期清算警報!
一個重達 $9.95K 的多頭頭寸剛剛在 $222.95 被清算!
$SOL


多頭剛剛面臨壓力 — Solana 正在隨着波動性上升而瘋狂波動!
動量正在迅速積聚,交易者們正準備迎接下一個重大走勢。

支撐位:$220 – $218

阻力位:$225 – $229

如果 SOL 在支撐位上方保持,可能會出現向阻力位的急劇反彈。
但跌破 $218 可能會觸發更多的清算,並將價格推向更接近 $212。

下一步:市場能量很高 — SOL 可能正在準備強勁突破或更深的震盪。 保持警惕,隨時準備!
$BTC
$ETH
免責聲明:包含來自第三方的見解。非財務建議。可能包含贊助內容。 請參閱條款。
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Ashraf channa jan
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🤤🤤
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very nice
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welcome 💞
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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@Holoworld AI 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 @Holoworld AI
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nice
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