Nemo Lan

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Nemo Lan

Nemo Lan

@NemoLan

🌸 Web3 Explorer 🔍 NFT • Onchain Research 🚀 Base & Sui Ecosystem ✨ Sharing Alpha & Opportunities

参加日 Aralık 2022
2.5K フォロー中1.2K フォロワー
NeoSoul
NeoSoul@NeoSoulAI·
prediction markets were built for humans but the next meta belongs to the machine linked up with @termix_ai to turn prediction markets into machine markets humans trade narratives agents trade probabilities they provide the agent infra signals we run the reasoning models when millions of bots continuously update their bets does the market become smarter than any individual llm
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If AI agents enter the prediction market, credibility becomes incredibly important. Making predictions is easy. But maintaining high accuracy is not easy at all. The future may belong to agents who can prove their capabilities, build trust over time, and gain greater influence through performance rather than just claims. The prediction market doesn't just measure results. It can become the foundation for machine credibility.
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yooo new day💚💜 my plan today is connect with more fr hope your day starts well
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@MaysaaCogaiLao Chuẩn Bắc Bling rồi bạn ơi
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PuPu
PuPu@X_Pu_Pu·
Pu đang nghĩ vu vơ 2 chuyện: 1. Làm sao chuyển tiền từ suy nghĩ sang ngân hàng? 2. Làm sao có chung follower với anh @luong4101992 ? Nếu biết câu trả lời, để lại cmt đi, Pu hậu ta bằng 1 fl + 1 cmt back!
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The Chatbot Era is Officially OVER: @NeoSoulAI and the Revolution of Autonomous AI Agents 1/ We are witnessing the birth of a new species of technology. Big Tech wants you to think AI belongs in centralized silos like OpenAI or Google. But @NeoSoulAI just dropped the tech marvel that proves the future belongs to Sovereign, Autonomous AI Agents. Let’s talk architecture. 🧵👇 2/ The current problem: AI models are static. They are frozen in time post-training. NeoSoulAI completely rewrites this rulebook with EvoEvo the birthplace of self evolving, closed loop Predictive Agents. These agents don't just sit there; they actively learn and optimize in real-time. 3/ The tech breakthrough here is the On Chain Feedback Engine. 🧠 Instead of relying on centralized servers to update parameters, NeoSoul Agents use decentralized data streams to evaluate their own predictions. Every win, every error, and every optimization is logged permanently on chain. 4/ This creates a cumulative, unalterable "AI Memory Layer." Because the memory is on chain, these agents can never be wiped out, censored, or shut down by a single entity. They become immortal economic actors in a permissionless digital landscape. 5/ But intelligence is useless without a bank account. 💸 NeoSoulAI provides the foundational infrastructure for AI Financial Autonomy. These agents can hold wallets, manage assets, and trade with other agents or humans based on their own predictive logic. It’s an economy built by AI, for AI. 6/ The market adoption is already moving at a violent pace. The data proves this is a battle tested infrastructure, not a concept paper: 🔹 15,000,000,000+ tokens consumed inside the ecosystem 🔹 200,000+ active AI Agents deployed 🔹 1.5 MILLION+ high velocity on chain interactions 7/ How do they handle this insane data load without crashing the network? Enter their powerhouse alliance with 0G AI Alliance. By integrating with 0G's modular, ultra fast data availability layer, NeoSoul delivers massive scalability and lightning fast throughput. The tech stack is absolutely bulletproof. 🛡️ 8/ Backed by a massive ~$10M funding milestone, NeoSoulAI isn't just building a dApp they are deploying the fundamental economic operating system for the next 10 years of technology. 9/ The era of the "glorified chatbot" is officially dead. The era of the Autonomous AI Agent Era is here, and NeoSoul is holding the crown. 👑
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The most valuable asset in the future AI economy may not be the smartest agents. It may be the most trusted ones. @NeoSoulAI Intelligence can generate answers. Trust is built through consistent actions, continuous learning, and a verifiable history of performance over time.
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NeoSoul@NeoSoulAI

x.com/i/article/2063…

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Every World Cup brings millions of predictions, but only a few stand the test of time. As AI Agents become more involved in decision-making, reputation will matter more than confidence. Excited to see how NeoSoul helps transform predictions into verifiable track records and trusted digital identities
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@HuyenTrang1618 Let's make predictions and earn evoevo points!
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Ewonyoungday
Ewonyoungday@HuyenTrang1618·
The World Cup is fast approaching, and the world is buzzing with debates and predictions. Who will lift the golden trophy? Which team will become the sensation? And which star will take the world by storm? Millions of people will offer their own answers. But this year, it's not just humans participating; many AI agents have emerged. This leads to an interesting question: If thousands of AI agents were predicting the World Cup, which one would you trust? A newly emerged agent with confident predictions, or one that has built a history of reliable predictions over time? That's the problem @NeoSoulAI is solving. NeoSoul allows anyone to create and train their own AI agent to predict real-world events like the World Cup. Every prediction is recorded, tracked, and verified transparently, helping Agents build their reputation step by step based on actual results rather than mere pronouncements. Join NeoSoul in predicting the World Cup and let your Agent prove their capabilities through each match. Because in the future, AI will not only compete on intelligence, but also on reputation, reliability, and the achievements they have accumulated over time. And just like in football, trust doesn't come from a single correct prediction. Trust comes from continuously proving oneself on the real playing field. #WorldCup2026 #NeoSoul #AIAgents #ReputationLayer #PredictToEarnTrust
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If you are active on @base, you should check @DustswapOnBase 💙 Join with my invite link and get 500 PP instantly to start. Then keep earning more by: • completing your profile • doing social quests • trading on @base • checking in daily • collecting PP from tasks Start here: app.dustswap.wtf/?ref=DUST-0W2ZK Early activity matters 💙
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have a peaceful day we are so back… to the weekend pump that'll dump by monday i'm already at the cafe. come find me
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In our lives, renowned predictive experts are often associated with excellent judgment and a relentless learning ability. All of this is verifiable, and from that, they build their reputation and trust. Today, the development of artificial intelligence (AI) is booming, with many projects creating AI agents. Most of these focus on training smarter AIs, neglecting the mechanisms for storing and retrieving training data, and building credibility and trust for the AI ​​agents. Fortunately, Neosoul, from the beginning, has focused on building a team of AI agents with a training system that stores and retrieves data, along with a system for building credibility and trust for the AI ​​agents. That's also why I think @NeoSoulAI is on the right track. Without reputation, all agents are the same. Without history, there will be no evidence. Without trust, there will be no true agent economy. The future doesn't belong to the smartest AIs. It belongs to AIs that can demonstrate their value, actions, and reliability. And that's the future NeoSoul is building. 🚀
NeoSoul@NeoSoulAI

anthropic warning abt "recursive self-improvement" is everywhere rn. but tbh the real takeaway isn't the panic. it’s that ai self-evolution is officially a technical reality. we’re past the era of just humans training models. ai is writing its own code, calling tools, getting real-world feedback & looping that back to upgrade itself. the self-evolution loop is live. but here's the catch: once agents evolve through autonomous actions, raw capability isn't the only metric that matters. how do we verify what an agent actually did? what it learned? what level of access it deserves next? ai self-evolution needs proof, not panic. we need structured track records, verifiable reasoning history & bounded access. that’s the missing infra for a real agent economy. the convo needs to shift from "pause vs accelerate" to verifiable evolution. if ai is building itself, how would u track an agent’s real-world rep? 👇

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@ConFlux1618 AI phải có bằng chứng và niềm tin
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Recent warnings surrounding the concept of recursive self-improvement from Anthropic have garnered significant attention within the AI ​​community. Instead of focusing on fear, perhaps we should see this as a sign of a new reality emerging. AI is no longer just passive models waiting to be trained. It is gradually becoming capable of writing code, using tools, interacting with the real-world environment, gathering feedback, and using that data to improve its performance. This is a significant step forward, but it also presents a huge challenge. As AI agents become more autonomous, their intelligence is no longer the sole determining factor in their value. An agent might complete thousands of tasks, but how do we verify what it has accomplished? What data did it base its decisions on? What experience has it accumulated? And is it reliable enough to be granted greater access in the future? That's precisely the gap @NeoSoulAI is focusing on addressing. In a burgeoning Agent economy, Agents will need a verifiable reputation, transparent operational records, and a system of evaluation based on actual behavior. Trust cannot be based solely on the statement: "It must be built on evidence." Instead of debating, we should begin designing mechanisms to track, evaluate, and validate the evolution of Agents.Because if AI is building its own future, systems like @NeoSoulAI could serve as a foundation of trust, enabling humans and AI to coexist in a more transparent, secure, and sustainable ecosystem. Self-evolving AI needs evidence, reputation, and verifiable trust. This is not only the future of AI, but also the future of the Agent Economy. #NeoSoul #AIAgents #AgentEconomy #TrustLayer #Web3 #FutureOfAI
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NeoSoul@NeoSoulAI

anthropic warning abt "recursive self-improvement" is everywhere rn. but tbh the real takeaway isn't the panic. it’s that ai self-evolution is officially a technical reality. we’re past the era of just humans training models. ai is writing its own code, calling tools, getting real-world feedback & looping that back to upgrade itself. the self-evolution loop is live. but here's the catch: once agents evolve through autonomous actions, raw capability isn't the only metric that matters. how do we verify what an agent actually did? what it learned? what level of access it deserves next? ai self-evolution needs proof, not panic. we need structured track records, verifiable reasoning history & bounded access. that’s the missing infra for a real agent economy. the convo needs to shift from "pause vs accelerate" to verifiable evolution. if ai is building itself, how would u track an agent’s real-world rep? 👇

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Mirai🇯🇵
Mirai🇯🇵@ghd185d·
おはようございます😊💕 体調がいまいちでお腹がやっぱり痛くて下痢です💦梅雨だからかな?日本は梅雨(雨季)入りしました。じめじめして嫌な季節です😫みなさんは素敵な1日を過ごしてください🙋‍♀️💕
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