兄弟们，币安钱包超刺激的 Token Race 10胜挑战第二季 又来了！ 简单说，就是一场 30秒一局 的实时涨幅赛，目前只支持 BTC、ETH、SOL 三个币。每局开始前选一个自己觉得这30秒里涨得最多的，对了就赚钱，错了就亏。结算后总盈亏为正就算赢1场，节奏快到像打小游戏，一局结束下一局马上开始，根本停不下来。 怎么拿奖？ 每累计 10胜，并且个人累计交易量达到 $50，就能获得 1份 奖池瓜分资格 20胜 + $100交易量 = 2份 30胜 + $150交易量 = 3份 以此类推，资格越多，分到的份额越大 总奖池 10,000 USDT，目前已经有两千多人在玩了。活动时间从 10月21日 04:00 一直到 10月30日 20:00（UTC），官方还延长了时间，每天可玩的时间更长。 怎么参与？ 先去报名页面用币安钱包（无私钥钱包）登录报名： leaderboard.42-toolkit.space… 打开币安钱包 App → 市场 → Memes → eMeme → Live，就能直接进赛 每局最低投 1 USDT 就行，记得钱包里留至少 0.005 BNB 当 gas 奖励会在活动结束后两周内直接发到币安钱包里。异常刷单的可能会被取消资格。 想找点刺激又怕长时间盯盘的小白特别适合，30秒就出结果，赢了爽、输了也不心疼，还能顺便冲奖池。30秒够不够？上场试试就知道了。 注意控制仓位，别上头哦。投资有风险，玩的开心就好。 #BinanceWalletTokenRace42

妈的果然又撸了一个垃圾@RealGoOfficial。项目方纯畜生，代币都上线了，还不能领空投，币安活动奖励也不发，而且币价上线直接暴跌10倍！ @xhunt_ai你发布的@RealGoOfficial活动奖励什么时候发啊？以后能不能筛选一下，这样的垃圾项目还上？

强烈建议@Acurast出一个华为手机也可以挂机的APP。手里两个闲置的华为手机不能挂的我急不行啊！ 现在的AI可谓是如日中天，全球都在疯狂的抢算力。但是传统数据中心又贵又集中，我们普通人根本买不起、也用不上。 #Acurast 完美解决了这个问题，直接把我们手里闲置的手机变成了“迷你算力机”。 只要一台暂时不用的手机，装个 App，就可以在后台帮别人跑一些计算任务，跑完后，还能拿到代币奖励。 重点是：手机里有个安全的小“保险箱”，程序在里面跑，别人也看不到里面的敏感数据。 截止到现在，已经有大约 30多万台 手机加入了这个网络，分布在 170多个国家。 目前已经能跑一些实际任务：比如简单的API、定时任务、AI推理、隐私计算等。 官方还在推进一个叫 Cray 的东西：把几百台手机“捆”在一起组成一个小集群，这样就能跑更大的模型，不再受单台手机内存的限制。这个目前还在推进中，不是完全成熟。 相比于传统的算力中心还是差距明显，但是 #Acurast 特别适合跑轻量一点的任务，成本更低，也不用依赖大公司。 而且因为手机到处都是，所以天然更分散，不容易被一家公司卡住。 @Acurast @EchoHunt_ai #Acurast #ACU #DePIN #AI

在被Backpack、o1这样花钱拿积分，结果却被反撸的项目之后，说实话，看到@popdex_这样需要花钱交易的项目，我基本上是嗤之以鼻坚决不参与的。 不过当我仔细研究研究之后，发现它不同于之前的项目，它的 MegaPop 玩法确实让我眼前一亮，有点东西。 它没有把重点放在传统的积分上，是把交易贡献和每周现金奖励联系起来。 符合条件的交易可以获得 Pop Tickets，Tickets 可以用来参与 MegaPop 的每周奖励。 按照官方公布的 Open Beta 规则： 15 万 USDT 起始奖池：由 PopDEX 自掏腰包注入。 奖池持续增长：官方计划将 40% 的净交易手续费投入奖池。 前六周双倍计入：Open Beta 前六周，交易贡献按双倍速度记录。 达到 30 万张 Tickets，再追加 10 万 USDT。 无需邀请码：Open Beta 向所有交易者开放，Closed Beta 用户还有回溯奖励机制。 它就打破了传统刷积分不断交互刷量等TGE的循环，可以让我们有机会通过公开的规则参与现金奖励，而且奖池和奖励结果都可以通过链上数据验证。 不过也要注意Tickets 不等于固定收益，抽奖也不一定保证中奖。手续费、滑点、资金费率和交易风险这些也要仔细核算。别为了多拿几张票，硬做自己本来不需要的交易。 另外提一点建议，充值链多加几条，开仓合约最低额降低一点，邀请码门槛低点，对我来说太高了。 体验地址：app.popdex.xyz/en/trade/futu…

I just tried out @letsreadora and found that it’s more than just a regular e-reader. What makes it interesting is how it combines AI-powered reading assistance with a points-based reward system. Based on its official posts, #Readora aims to tackle some common reading problems: people losing focus, struggling to understand technical content, or simply giving up when a book gets too difficult. After trying it out, here are a few features I found useful: 1. Reading Progress & Daily Goals The home page lets you pick up right where you left off and track how many minutes you’ve read today. Setting a small daily goal makes it easier to build a consistent reading habit. 2. Discover You can explore books you’re interested in, browse popular content, and get personalized recommendations based on your reading habits. 3. AI-Powered Reading Assistance This is one of the more interesting features. If you come across a concept you don’t understand, you can use Explain to get a clearer explanation. If a passage feels too long, Summarize helps you grasp the key points quickly. There’s also a Translate feature to help with language barriers. 4. TIMBER Points & Daily Tasks Your profile lets you track reading time, reading streaks, and your TIMBER points balance. You can also complete tasks such as daily check-ins, reaching your reading goal, following Readora on X, joining its Telegram community, and inviting friends. For those who like exploring early-stage projects, it’s a chance to try out the product while earning points. That said, how these points will be used in the future, and whether they’ll be linked to tokens or other benefits, remains subject to official announcements. One thing I really hope the team will improve, though: language settings. From my overall experience, this is the biggest issue for me. As someone who isn’t very comfortable with English, having the option to switch the app interface to different languages would make a huge difference to usability. I hope the team takes this feedback into consideration. A language selection feature would make Readora much more accessible to users around the world!

Right now, a lot of these AI + Finance projects are basically just telling stories. The packaging looks busy, but when you actually ask whether there's real substance underneath, or whether they can handle real money and regulatory scrutiny, it's often hard to tell. AURION Finance looks a bit different. It positions itself as an institutional-grade AI finance network, and it's tied to the AURUMX Capital ecosystem. AURUMX holds Hong Kong SFC Type 4 and Type 9 licenses (advising on securities and asset management). The entity is Aurumx Capital (HK) Limited, which you can find on the public register, and it also has MSB-related compliance foundations. It's not just talk — it's actually operating within the regulatory framework, and compliance and risk management have to be ongoing. AI can generate ideas and strategies can run automatically, but when it comes to actually connecting real capital — especially bridging traditional markets and on-chain ones — models alone aren't enough. Client suitability, whether asset management is reliable, and whether settlement is clean all need a solid foundation. Without licenses and compliance processes, it's hard to move from the "just testing" stage to something real. AURUMX's setup gives AURION a more reliable starting point for combining AI analysis, structured strategies, and on-chain settlement. The timing makes this more relevant. This week the HKMA released the "ART" Framework, pushing banks to adopt AI responsibly, with emphasis on accountability, resilience, and trust. In their sandbox, more than half of the use cases were exploring agentic AI — the kind that can plan and then execute multi-step tasks. On the SFC side, they're also advancing tokenization: 17 tokenized retail products have been launched, with about $1.3 billion in assets, up nearly 80% in a year, and they're working with the HKMA under Project Ensemble on combining tokenized deposits and funds. Regulators are clearly paving the way for responsible AI and regulated tokenization. On AURION's side, the structured strategy product Prime is already live. Users go in through Access, manage positions via Portfolio, and settle on-chain. In about two weeks after launch, on-chain participants reached over 4,000, and the contract address is public so you can verify it yourself — it's not just shouting slogans. Longer term, AI finance, tokenized assets, and on-chain finance are moving closer together. AURUMX having an institutional foundation doesn't guarantee success, but compared with pure storytelling projects, the starting point is different. From the licenses and compliance base, to AURION's positioning, to Prime actually having users, this path feels relatively more solid. #AURIONFinance @AURION_Finance @aurumx_finance #AURIONFinance

这玩意 @Acurast 一日不写，排名呼呼掉啊，昨天终于开始闲置手机挂机了，不过话说为啥我一个任务接不到啊？ 10 月 14 日，Acurast 专门发布了一篇关于 Crypto AI 的文章，重点讲如何把分散在全球的手机，变成 AI 可以调用的算力网络。 现在 AI 算力基本都在少数大型云服务商手里。开发者想要跑模型、部署 AI Agent，都得依赖这些中心化基础设施。 Acurast 的思路就是把全球大量的闲置手机组织起来，让他们为 AI 提供算力。 而且这次还有另一个值得关注的进展：安全验证。 10 月 7 日，官方专门解释了如何通过 Google 和 Apple 的硬件证明机制，验证设备是否真实、系统有没有被篡改，杜绝了刷子拿模拟器冒充真实手机骗取奖励的风险。 Crypto AI 的核心不仅仅只是给 AI 加上个区块链，是为了让算力的提供、使用和验证变得更加开放。 不过，目前来说手机的性能还是相比传统算力提供者来说还是相当有限的，很多模型仅凭一台手机根本跑步过来。 Acurast 后面能不能扩大真实的计算需求、让开发者愿意一直付费，这才是决定它能走多远的关键因素。