# stablecoins — X 热门讨论 (2026-10-09 05:51 UTC)
## @0xRiRoyal (riRoyal.Base.eth) · 10-09 03:42 · ♥52 ↻0 💬60 A stablecoins freeze controls still matter inside a QuipSwap trade.
@QuipNetwork’s security docs flag issuer freeze risk for tokens such as USDC and USDT. On a same chain swap, a freeze makes the claim fail. Returning the frozen token also has to wait until the issuer lifts the restriction.
That matters because token permissions remain part of the trades risk, even when authorization uses signatures designed to resist quantum attacks.
Before confirming a stablecoin swap, I would check who can pause transfers or blacklist addresses alongside the price and fees. Those controls can determine whether settlement or recovery is possible. https://x.com/0xRiRoyal/status/2108402581055877310
## @hoanghiep_btc (Hoang Hiep🐦🔥) · 10-09 03:00 · ♥48 ↻0 💬37 🧐One thing Justin Sun shared at TOKEN2049 really got me thinking:
The next billion blockchain users may not all be human.
I don’t think this is simply a prediction about user numbers. It points to a fundamental shift in how we understand the role of blockchain.
Until now, when we talked about adoption, we usually measured how many people created wallets, made transactions, or used Web3 applications.
But what happens when AI agents can independently research, make decisions, access services, and transact with one another?
At that point, the definition of a “user” is no longer limited to humans.
And this is where I find Justin Sun’s perspective particularly interesting.
Blockchain and stablecoins already offer something that makes sense for a machine-driven economy: 24/7 settlement, programmable rules, and transactions that can be independently verified.
But I think there’s a much harder problem than simply giving an AI agent a wallet.
How do we know whether an agent can actually be trusted?
An agent might execute thousands of trades, but more transactions don’t necessarily mean better intelligence.
A profitable decision doesn’t always mean the underlying analysis was correct. Sometimes, it’s just luck.
So who evaluates these agents? Who manages their risks? And more importantly, when an agent makes a mistake, what ensures it actually learns from that experience instead of repeating the same failure?
This is one of the reasons I’ve been paying attention to @NeoSoulAI.
What interests me about NeoSoul is its focus on building agents around real-world capabilities rather than just autonomous actions.
evoevo explores the data and evaluation side, where decisions and their outcomes can be examined and assessed.
NeoTrade, meanwhile, brings agents closer to real market environments, where they can research, develop insights, and take action within boundaries authorized by users.
To me, these two directions connect around something fundamental:
AI agents shouldn’t just be capable of taking action. They should also be able to demonstrate their capabilities through real, measurable outcomes.
Of course, there’s still a long road ahead.
Good data and transparent transaction histories alone won’t guarantee that agents perform well under every market condition.
Adaptability, capital management, security, and human accountability are still major challenges that need to be addressed.
But looking five years ahead, I don’t think the biggest advantage will necessarily belong to platforms that create the most AI agents.
It may belong to ecosystems that can identify which agents are genuinely capable, give them appropriate levels of autonomy, and continuously improve their performance through real-world feedback.
Blockchain may make it easier for AI agents to participate in the digital economy.
But before we can trust them with meaningful responsibilities, capital, and decisions, they will need much more than a wallet address.
A billion agents could generate billions of transactions. But only when those agents create real value and demonstrate their capabilities will we have an Agent Economy truly worth building.
That’s why I continue to follow NeoSoul.
Not because I’m looking for another AI x Crypto narrative, but because I’m interested in seeing whether this vision can gradually become something that actually works in the real world. @Hansmahanakon @YukiinWeb3yk
#NeoSoul #AIAgents #AgentEconomy > 引用 @Rhea0xWeb3: 喜提孙哥 惊鸿一瞥🤔@sunyuchentron 孙哥真的瘦了 看来有在薄肌赛道发力😂
听了孙哥 主舞台对话 一起学孙学！ 加密与 AI Agent 的融合，将成为未来 5 年最重要的应用场景！！🙋
AI 不需要 KYC，不需要银行营业时间，只需要稳定币和 7×24 结算，区块链天生就是为机器准备的
银行百年几乎没变，加密每两周就能迭代 年轻一代已经用脚投票出结果，https://t.co/NEP9NKDP0a 日调用量约 1.5 兆次
还有「孙宇晨奖」——最高单题 100 万美元，把加密赚到的钱持续回馈数学和 AI 突破
现场 @trondao 展台真是水泄不通 孙哥说：未来的十亿区块链用户，可能不全是人类
Keep Learning💪#TOKEN2049 https://x.com/hoanghiep_btc/status/2108392075075170552
## @PiNetworkAL (PiNetwork DEX⚡️阿龙) · 10-09 04:56 · ♥50 ↻2 💬1 An official announcement from the #PiNetwork today confirms the hypothesis I proposed back in July: users pay in Pi, and a smart contract instantly locks in the value, automatically converting it into a stablecoin and then into local fiat currencies for merchants, thereby insulating them from Pi’s price volatility. This official blog post regarding stablecoin research aligns perfectly with the scenario I envisioned. Users can still pay directly with Pi; the system performs an instant on-chain conversion to OUSD to buffer value, followed by a transfer through compliant payment gateways into local fiat currencies like GBP or EUR. ⚠️ Note: This is currently only in the exploratory research phase—while the blueprint exists, implementation has not yet occurred. The biggest hurdle is obtaining regulatory compliance licenses across various countries; this is not yet a functional feature. Pi will not be replaced by stablecoins, nor is Pi a stablecoin itself; Pi is the native asset of the public blockchain, whereas stablecoins serve merely as an ecosystem supplement, with both payment models operating in parallel.📖 https://x.com/PiNetworkAL/status/2108421223021699508
## @CurveFinance (Curve Finance) · 10-08 20:23 · ♥40 ↻3 💬2 This week yield on Cuve:
Stablecoins yields unfazed by the market.
Plus a vote for the first LP-backed Llamalend market: reUSD/sfrxUSD (@ResupplyFi + @fraxfinance 👀).
https://t.co/EiNHyaPt0M https://x.com/CurveFinance/status/2108292215944646870