@SlowMist_Team Community Lead in HK🇭🇰 | Owning 1/1 adorable daughter👧 | in Opinions are my own

Hong Kong
Joined December 2022
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If you think @THORChain is decentralized exchange, then it should act like it. While Thorchain is being attacked, then don’t stop the network and it breaks the point of decentralization. It means Thorchain has capacity of stopping the funds. It just simply wants to earn money.
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Replying to @TheBlockCo
@MistTrack_io If you need to know illicit funds in specific address or KYT needs, you can check out MistTrack. Or you can dm @SlowMist_Team too.
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Thank you everyone for coming to this event, especially to all the panels and speakers. @ecgold888 @0xLaughing @selat_ai @chriseyin @JerryLJ2 @luckyllucy
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Replying to @erichsu_eth
666,追回路上一直充满困难和挑战,庆幸找回了部分!
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toLexFish.eth retweeted
🎙️ Cregis MicUp Vol 13: When Agents Take the Wheel — What Does the New Era of Crypto Infrastructure Look Like? 🗓️ May 13, 2026 | 5:00 PM GMT+8 | Live X Space 🔗 Set your reminder: xitter.cf/i/spaces/1XxygmNmYyRGM AI Agents are rapidly moving from concept to execution. Across crypto, finance, payments, and security, the industry is racing to integrate AI into workflows, operations, and infrastructure with the promise of greater efficiency, automation, and intelligence. But what can Agents actually do today? Where are the real limitations? And what risks emerge when autonomous systems begin interacting with financial infrastructure at scale? Join Cregis for a forward-looking discussion on how AI Agents are reshaping crypto infrastructure and what the next era of Web3 may look like. 🎤 Meet Our Expert Panel: Tony Tan — HK Community Lead at @SlowMist_Team Constance Zhou — Marketing Manager at @InterlaceMoney @xsser_w — CEO at Tanwe AI Technology Mike — Chief Researcher at @NeoSoulAI 🎙️ Moderated by Bovey 📋 What We’ll Explore: 🔸 Why Is Everyone Betting on AI? Why is the industry moving so aggressively toward AI adoption? What real strategic value does AI bring to crypto infrastructure and financial systems? 🔸 What Can Agents Actually Do? Beyond the hype, what are the real capability boundaries of AI Agents today across security, payments, operations, and research? 🔸 The Enterprise Reality — Risk, Cost & AI Deployment: What challenges are companies underestimating when integrating AI? From security and permissions to operational cost and team readiness, what lessons have emerged in practice? 🔸 Living Alongside AI — Opportunities, Risks & the Future: If AI becomes deeply embedded into finance, payments, and everyday decision-making over the next decade, what could that world realistically look like for ordinary people? Why This Matters: AI is no longer just a tool — it is becoming part of the infrastructure layer itself. As autonomous systems gain more responsibility across crypto and finance, understanding both their potential and their risks becomes critical for builders, enterprises, and users alike. This session brings together voices from security, payments, AI research, and infrastructure to explore what happens when Agents begin taking the wheel. 📌 Join us 5 minutes early to secure your spot! #AI #AIAgents #CryptoInfrastructure #DigitalAssets #CyberSecurity #Payments #CregisMicUp
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Replying to @0xCregis
Looking forward to seeing everyone in the Space.😁!
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被盗资金大部分应该都通过HifiSwap跨链了,到了TSVHz5YV964Nzu9vQxNNzN6RnyoQER2kC3 -> TM7rccCTokmqPGFAvwC1xZ55NuyEoBR4Uu 你可以看看。dashboard.misttrack.io/addre…
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知道为什么这份“指南.md”本身更新会比较慢?因为每一个更新我们都会在多个 🦞OpenClaw 环境内测运行至少两天,全量验证几个主流聪明模型的表现,然后才敢发布… 毕竟对于 LLM AI 来说“文本不再是文本,而是指令”,这个“指南.md”是喂给 OpenClaw 直接去理解和执行的,人类仅负责指挥和确认。 所以,如果“指南.md”大意了,可能会造成副作用。比如我举个例子,某个主流但不大聪明的模型,是真的会不客气地执行 rm -rf 操作,只因它自以为某个 Skill 有安全威胁…😅 如果出现其他误解就更麻烦了,尤其在 Crypto 场景,资金敏感度高,我们要不断测试,不断验证,尽量让“指南.md”可靠性高(不是 AI 来评价定论,而是我们的历史经验,及大量烧🔥掉的 token 和时间)。 已知几个待更新点了,等我们后续发布。并且,我们还有一些有趣的安全创造,拭目以待…👀@SlowMist_Team @im23pds @T41nk_ @TycheKong …
🦞OpenClaw 极简安全实践指南 (Security Practice Guide) 是面向 OpenClaw 的黑手册。 我尝试了其他一些方式来试图加固 OpenClaw,包括 Skill 方式,但是发现还不如给 OpenClaw 植入一个安全“思想钢印”来的有意思,这个“思想钢印”形成一个 md 文档,包含安全事前、事中、事后需要做的策略,但这里有个前提: 尽量不影响 OpenClaw 的日常使用,安全不要干扰用户体验,需要给这只🦞足够的自由。但是吧,江湖险恶,一只有 Root 权限且诞生才一个多月的🦞,安全不让人放心… 于是,这份面向 OpenClaw 的极简安全实践指南诞生了,目前是 v2.7 版本,此前我们内测了许多版本,也踩了不少坑。现在公布出来,大家玩之前务必仔细看这份指南的 README⚠️: github.com/slowmist/openclaw… 注意里面的说法。我相信你会很有收获。里面还推荐了我们实测在 OpenClaw 场景下聪明的模型,如果你有自己的感受,一定要和我们反馈。 一切都很新,一定有不完善的地方,请大家多指正! ⚠️最后,务必认真阅读 README,也务必肉眼扫描下你将喂给你🦞的“OpenClaw极简安全实践指南.md”,相信我,会非常有意思。
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toLexFish.eth retweeted
初步分析是在 _swapWithBpt 函数中通过 _upscaleArray 缩放 out 时向下舍去的精度误差导致最后计算出的 in 值也偏小,以此累计。
🚨SlowMist TI Alert🚨 MistEye has detected potential suspicious activities related to @Balancer. A loss of approximately $70.58M. As always, stay vigilant! etherscan.io/tx/0xd155207261… etherscan.io/tx/0x6ed07db1a9…
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Replying to @MEXC @SlowMist_Team
Thx for the invitation.
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我就是廣東人,入職慢霧快兩年,完全沒有你和ISME所公開說的事情! 你和公司以前的事是怎麼樣,已不感興趣! 人在做,天在看!
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Replying to @cabaltown
It looks fire!! 🔥
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Replying to @GoKiteAI
@GoKiteAI Go and check out the booth of Kite AI lu.ma/fz7ndzlm
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toLexFish.eth retweeted
From $TRUMP to the highly controversial $LIBRA, political cryptocurrencies have captured the market's attention—but not without security risks. ⚠️ In our latest article✍️, we use $LIBRA as an example to analyze these risks with the on-chain #AML and tracking tool @MistTrack_io (misttrack.io/), offering critical safety insights.👀 Dive in here⬇️ slowmist.medium.com/risk-ale…
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🚨Keystone × 慢雾同庆7周年 | 有奖征文活动开启!📝 📅 投稿时间:2月17日 - 3月2日 🎁 重磅奖品:评选3位优秀原创作者将获得 慢雾定制款Keystone硬件钱包1台!如优质投稿数量超预期会追加名额! 如何参与?👇 1️⃣ 发布 原创推文,分享你的链上安全经验或见解(洗稿/抄袭/AI生成等内容将会被排除)。 2️⃣ 添加活动话题 #我的链上安全心得,并在文章开头 @KeystoneCN 和 @Slowmist_team。 内容方向参考💡: 🔹 私钥管理、钓鱼识别、授权检查等安全操作 🔹 真实被盗经历复盘、风险预警、漏洞规避 🔹 冷钱包使用技巧、监控工具实战分享 ...或任何你独到的安全见解! 评选机制👑: 活动结束后,由 Keystone、慢雾联合评选,综合内容深度和实用性选出优胜文章。 🌟 安全无小事,你的经验可能拯救千万人! 👉 赶紧带上话题,分享你的心得吧! (活动说明:奖品由 Keystone 提供,定制款IP 来自慢雾SlowMist。)
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See u there! Guys!! 🎟️ Free Ticket: lu.ma/memexfest 📅 Date: 18th February ⏰ Time: 10 AM – 5 PM 📍 Venue: Kerry Hotel, Hong Kong @MemeXFestival @MemeCore_ORG @852web3
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