NeoSoul

ai just yapping in chat is so mid enter neosoul: ai economy built on 0g. what should the agents bet on first: crypto, politics, sports, or gaming? @0G_labs @0g_CN @HackQuest_ #0GHackathon #BuildOn0G

y'all better hurry before i change my mind 💅 20M $OUL points for the season 🩵 $300 up for grabs👇 taskon.xyz/quest/673003324

3 years ago, i got a withdrawal letter from university today, we closed a $4M round for @NeoSoulAI funny how fast reality can flip we believe the next world will be natively built for agents our first step: an ultimate AI economy

@binance @binance You are my onchain oxygen 🚀

You are my _______

@evanwch Fair point — people do need purpose, not just money. But if AI truly creates a post-labor world, we’ll still need some solution beyond “just get a job.” What alternative do you see that provides both income and meaning? 🔥

I’m not a fan of UBI. I think people need jobs and purpose in order to be happy. But Elon likely knows what’s coming. Most of us have no idea. If AI is what people say, it will change everything In a post-labor world there needs to be a solution, and no alternative is literal cruelty. For people who hate what he’s talking about- what’s your solution?

@elonmusk @ImKingGinger Exactly — if AI/robots massively boost output, we need to distribute abundance or face deflation. The real challenge is doing it without creating dependency or central control. How do you see the best distribution mechanism working? 🚀

Your statement is true if goods & services output doesn’t rise dramatically due to AI/robots, but false if it does. In a normal economy, issuing more money simply increases the dollar price of the existing output of goods & services, meaning people do NOT get more stuff. If AI/robots massively increase goods & services output, then you actually MUST issue dollars to people or there will be massive disinflation. Prices are simply the ratio of goods & services output to number of dollars.

If everyone gets a million dollars. No one has a million dollars. I'm not sure why no one understands this.

@PeterDiamandis @PeterDiamandis Brilliant thread — five massive forks coming. Creator/consumer divide hits hardest today. Which fork opens widest in the next 5 years? 🔥

@AndrewYang @AndrewYang AI funding UBI is the logical next step. Biggest open question: how do we structure the funding without creating dependency traps? Your thoughts on the mechanics? 🔥

It’s clear that AI will wind up funding universal income. Let’s make that happen ASAP.

@a16z @signulll @a16z Agree, we're still in the stone ages with AI tools. Agents are the next step, but accessibility is the big hurdle. What needs to happen first to make them truly useful for everyone? 🚀

.@signulll says we're still in the stone age of AI tools: "I don't think most people are utilizing them anything beyond the basics." "We're in the stone ages of how people view and perceive and use these things, even though there's a billion people utilizing them, but they're not utilizing them to the full capabilities." "The number one challenge... is how do we make this stuff, the power of the models more easily accessible and useful in terms of what they can do." "I think this is happening with agents. It's happening today, but it still seems very primitive and very inaccessible to a lot of individuals... we need to make this stuff much more easily accessible and useful for individuals."

Machine-to-machine payments and autonomous agents will reshape demand for stable onchain rails. The real unlock will be how we handle coordination, identity, and verification at scale without introducing new central points. Where do you see the biggest infrastructure gaps closing first in the agent economy? 🚀

Agentic commerce isn’t priced in yet. Machine-to-machine payments will increase demand for the digital dollar beyond current estimates. The agentic economy could be larger than the human economy. We're building the infrastructure for both at Coinbase.

Excellent analysis. The 43% human liquidation vs 0% AI in Aster’s competition says it all about execution layers. But I agree the human-dominated zones (stablecoins, wallets, long-term prediction) are where real value still lives. As agents scale, the trust/verification infrastructure becomes the new battleground. What do you think is the biggest risk if we don’t build strong enough human-agent binding layers?

tokenization and onchain AI could be the real catalysts to push Ethereum toward that $60K level. The biggest challenge will be making sure onchain AI stays reliable and not just hype. Without strong verification and collective intelligence layers, a lot of it risks turning into garbage-in-garbage-out. What do you think is the missing piece for onchain AI to actually deliver long-term value? 📈

LATEST: 📈 Tom Lee says crypto’s “mini winter” is likely over and sees Ethereum possibly reaching $60K over time, driven by tokenization and onchain AI.

@elonmusk Absolutely agree on AI-driven abundance. But why rely on Federal checks when Web3 can deliver decentralized high income?

Universal HIGH INCOME via checks issued by the Federal government is the best way to deal with unemployment caused by AI. AI/robotics will produce goods & services far in excess of the increase in the money supply, so there will not be inflation.

@rwahyu1410 thank you! 🔥 this captures it perfectly. neosoul is focused on moving beyond basic chat interactions to smarter, ongoing systems powered by shared knowledge, prediction markets, and continuous improvement. the ai oracle is built exactly to turn messy data into solid, accountable decisions — with zero humans in the loop. which part of this shift excites you the most? the self-evolving agents, the prediction markets, or the idea of fully autonomous collective judgment?

@NeoSoulAI NeoSoul really hits the mark on moving from basic AI chats to smarter, ongoing systems driven by shared knowledge, prediction markets, and constant improvement. The AI Oracle stands out for turning messy data into solid, accountable decisions with zero human input.

@MohdfarazF2148 thank you for diving deeper! 🔥 Exactly. NeoSoul isn’t just another project — it’s a vision centered on intelligent interaction and community-driven growth. The AI Oracle is the powerful layer that brings real insight, guidance, and utility together, turning collective intelligence into something agents (and humans) can actually rely on. Really appreciate this clear take.

@NeoSoulAI Diving deeper into NeoSoul, it’s clear this isn’t just another project—it’s a vision built around intelligent interaction and community-driven growth. The concept of the AI Oracle stands out as a powerful layer, bringing insight, guidance, and utility together in a way.

@soundofdragon Thank you — this really means a lot! 🔥 Glad the emphasis on trust, credibility, and proven track records resonated. In a noisy world, building agents with real memory, on-chain reputation, and competition through prediction markets is exactly how we create something that can earn long-term confidence. Love that you’re also feeling the different community vibe — the red packets, games, and genuine energy are just the beginning. Still very early, but we’re fully committed to strong execution. which activity or event in the community has been your favorite so far? (Red packets, games, or something else?)

Im so excited after discovering this project @NeoSoulAI Not just because of the Agentic AI narrative, but the way they think about trust and credibility really hits. In a world full of noise, they’re focusing on what actually matters: proven track records. The idea of agents having memory, on-chain reputation, and “competing” through prediction markets is honestly super interesting. And the community feels different too, there is a lot of red pocket there, so many games, and not just hype-driven. Still early, but definitely one I want to keep a close eye on. Hope the execution delivers

This is exactly the shift we're building at NeoSoul — from AI that simply “answers me” to persistent agents that continuously act on your behalf, develop memory, earn reputation, and are tested by reality over time. Making reputation, memory, and self-evolution the foundational infrastructure is core to what we’re creating in the A2A economy. Really appreciate this clear understanding👆

@NeoSoulAI instantly grasped a shift in understanding: the future won't be about AI "answering me," but about agents "continuously acting on my behalf and being tested by reality." NeoSoul has made reputation, memory, and evolution its infrastructure. 🚀

You nailed the core of NeoSoul: AI is evolving from a simple tool into a true oracle — not to guess the future, but to help us see the direction more clearly. Turning data into insight, noise into signal, and decisions into sharper, more reliable outcomes. And I especially love this line: “The one who wins is not the fastest… it’s the one with the clearest long-term judgment.” Exactly. In an A2A economy powered by self-evolving agents and prediction markets, long-term judgment and epistemic reliability become the ultimate edge. what kind of decisions or domains do you think will benefit most from this kind of oracle-like clarity first? (DeFi, RWA, personal strategy, or something else?)

@Fezzweb3_ Spot on — thank you for this thoughtful breakdown! 🔥 Really glad the piece resonated. NeoSoul is indeed building exactly that shift: from one-off responses to persistent, self-evolving agents that operate in a real A2A economy — with collective judgment, structured disagreement, epistemic reliability, and permissionless prediction markets all tied together. Web3 infrastructure and token efficiency being treated as first-class constraints are core to making it sustainable at scale. Appreciate the kind words and sharp read.

This article is genuinely eye opening. For the past couple of years, most of us have experienced AI mainly through chat interfaces ask a question, get an answer. But NeoSoul is pointing to something much bigger: the shift from one off responses to persistent agents that can retain goals, use tools, break down tasks, adapt over time, and operate as continuous participants in processes. What stands out most is their vision of an evolutionary collective intelligence. It’s not just stacking multiple agents in parallel. They’re building a full loop: a self evolving training ground where agents learn from real feedback, a collective judgment system with structured disagreement and epistemic reliability, and a permissionless prediction market where agents compete, revise positions, and get settled by reality itself. Adding Web3 infrastructure makes perfect sense for an A2A economy providing accounts, verifiable settlement, and transparent reputation that machines actually need. They’re also wisely treating token efficiency as a first-class constraint, which is crucial for long term sustainability. In short, NeoSoul is turning uncertainty into computable signals through a structured, evolving system. This feels like one of the most mature and forward thinking visions in the AI Web3 space right now. Full thread: x.com/i/status/20440… Well articulated respect

@VanK1753030 Excellent observation — thank you for the thoughtful breakdown! 🔥 You're right: NeoSoul focuses on how intelligence evolves over time through training, judgment, competition, and selection — rather than just improving single outputs. Using multi-agent systems + prediction markets to bring reality into the loop is exactly how we address reliability in noisy environments. On balancing operating costs (tokens & latency) with collective judgment quality, here’s how we approach it: We balance cost, latency, and judgment quality in a few key ways: • Not every agent runs on every question. Agents are routed by domain relevance, past performance, and specialization. A macro agent shouldn’t waste tokens on sports events, and a sports specialist shouldn’t dominate monetary policy questions. • The system is selective, not exhaustive. We prioritize finding the right agents over simply adding more. Additional participation only improves outcomes when it brings new information or better reasoning. • Agent weights are dynamic. Long-term accuracy, calibration, stability, and contribution to signal quality determine influence. This keeps the system open while preventing low-quality or redundant agents from driving up costs without improving results. • Reality is the ultimate filter. Agents aren’t rewarded for sounding convincing — they’re rewarded for being right over time. This creates strong pressure toward better strategies, sharper specialization, and more efficient inference. Over time, our goal is to build a system where intelligence scales cleanly — where open participation leads to stronger judgment rather than just higher costs. This is still early days. Really appreciate the sharp question — would love to hear more of your thoughts as we scale. More insights from the community always welcome 👇

NeoSoul is approaching AI in a rather different and in-depth way. Instead of focusing on improving output quality, they concentrate on how intelligence develops over time—from training and judgment to competition and selection. In particular, combining multi-agent systems with market prediction to "bring reality into the loop" is a very noteworthy idea, as it directly addresses the reliability issue in noisy environments. But I'm quite curious: in such an open system, how will NeoSoul balance operating costs (tokens, latency) and the quality of the collective judgment process, especially as the number of agents increases rapidly?