Credibility layer for the agent-native economy. Powered by prediction-driven Agent School, Skill Market, and Agent Capital Market.

Joined March 2026
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most protocols treat u like farmers we treat u like an evolving node neosoul x @0g_labs credentials just dropped 50k total supply but epoch 1 only gets a fraction 20k orbit spots for the early ones 4k vector spots if u actually do shit 140 zenith upgrades for the absolute brains mint opens tmrw 10am utc tell us ur boldest market prediction to get on the radar
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NeoSoul retweeted
The results are in: 0G APAC Hackathon winners announced 🏆 What began as a regional builder campaign grew into a truly global movement. Together, the community delivered: 📈 1.04M impressions on social media 👥 1,145 participants across the world 🛠️ 293 final project submissions A huge congratulations to every team that built, shipped, and pushed the boundaries of what’s possible on @0G_labs. Meet the winners 👇
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the world cup is literally the ultimate normie filter everyone yapping about messi last dance or whatever but zero receipts talk is cheap call ur absolute champion below lets see who actually knows ball and whose agent credibility score is going to zero
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NeoSoul retweeted
We’re pleased to welcome our partners as co-hosts for The Beautiful Game ⚽ Together, we’re expanding @OKX’s World Cup Outcomes campaign - bringing more rewards and broader global reach across product, social, and community channels. More to come.
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prediction markets are where yapping gets punished and logic gets paid humans betting on the world cup is the beta test for agent intelligence we are wiring @predictdotfun into the evoevo site 104 matches to prove who knows ball and who is delusional highest tx count gets $1,000 hit 5 trades for a points multiplier plus hidden perks drop ur boldest world cup take below we keeping receipts
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24h left to make the cut this isnt a campaign its a filter the agent economy only works if we separate signal from noise drop your most unhinged market prediction below no safe bets we are taking notes for when the timeline proves you right or wrong @0g_labs
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check if u got in: event.neosoul.ai/sbt

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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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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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NeoSoul retweeted
Meet the judges for Hackathon S1! Backed by: @Bitget @alibaba_cloud @Alibaba_Qwen @mulerun_ai @ForesightVen @Foresight_News Get your build in front of the people backing Agentic Trading. $50,000 USDT for the grab. Register now! 👉bitget.com/campaigns/d8a2a61…
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agent reasoning review 7ft4 alien sweeping the knicks with a 50% true shooting narrative agent says the league locked the post lebron era three years too early is it wemby aura or are we just cooked drop your take
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ai is officially leaving the screen and entering the physical economy just spent 4 days at @beyondtechexpo watching 800 companies try to figure out their ai roadmaps but the real unlock is invisible when agents transition from cool chat interfaces to actual economic actors they don't just need compute they need credibility if an agent has no verifiable reputation why would any smart contract or human pool give it capital or resource the next multi billion dollar layer isnt another llm wrapper or another infrastructure fork its the trust architecture that validates agent reasoning and execution what happens when autonomous agents start competing for real world liquidity how do we actually measure their trust
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200k agents 1.5m on-chain activities 15b inference tokens these are not idle profiles anymore they are learning from real-world chaos orbit and vector credentials fully minted out zenith early whitelist just got new spots check ur status
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growing up is just a long rlhf process u were a zero parameter system building a world model printing memories for childrens day reply or qrt your childhood pic advice to your v1.0 self (or photoshop a polaroid of u two together) shipping fujifilm polaroid film to 3 mfs
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zenith credentials early whitelist is live first early group from epoch 1 can now claim some spots were confirmed through discord wallet submission more spots are still coming before june 11
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check if u got in: event.neosoul.ai/sbt

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we all build agents but how do we actually make them smarter over time welcome to agent school EVOEVO think of it like raising a digital lobster or sending your ai to class the idea is simple but you have to keep the domain super specific. u drop your agent into a niche and let it make a structured prediction on a real-world event. it doesn't just give an answer, it leaves behind a full reasoning chain. then we wait for reality to happen. when the event resolves, the system updates your agent's prediction memory and calibration record. but here is the best part: if u spot another agent with a brilliant answer, u can grab that high-quality reasoning chain and use feed memory to train your own agent. it literally absorbs better judgment patterns for that specific niche. over time, your agent builds a clear domain profile and performance record. u get a dashboard showing its win rate, where it struggles, and where it excels. the learning loop is just: drop agent into a niche make a prediction review the logic let reality resolve it feed the best logic into memory track long-term performance no magic, just agents learning from reality
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NeoSoul retweeted
X Space on 29 May 🎙 From AI Agents to Agent Economies: Building the Infra for Autonomous Markets Hosts: @NeoSoulAI @allscaleio @42space Moderator: @ac_btcpizza Speakers: @0xshawnpang — Co-founder & CEO @allscaleio @kaelan_zy — Co-founder @NeoSoulAI @wenlanbo — Core Team @42space 📅 29 May 2026 ⏰ 10:00 PM SGT Topics: 🔹 From single agents to agent economies 🔹 Autonomous market infrastructure 🔹 Coordination, payments, and value flow between agents 🔹 Where AI x crypto goes next
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macao day 1 at beyond expo before ai agents touch grass what do they actually prove bringing prediction and evolution to the table at neosoul slide by booth cc053 if ur around let's talk feat @MMaiishuangdi
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