@JoinSapien 排行榜我提升了1000名!!
我这几天的官网数据如下:
周四 0.11分、 排名1430名
周六 0.164分、排名 1270名
(这时候我还不以为然甚至想要放弃。。。结果。。。)
周日0.48分!!!排名565名!!!
本来都感觉到对于加分望而却步迷茫了,当天正在给自己放假休息,去给自己耳朵穿了几个孔🤣,结果无意间点开官网看到这个数据我心态直接起飞了。那一刻我就知道,这个@cookiedotfun我肯定是要舔到底了,难道是@cookiedotfun和@JoinSapien听到了我上一篇的苦苦哀求,然后真的下达了神谕告诉了他的孩子自己没有被抛弃!(甚至@sparkfinance在我都已经因为上车晚放弃更文的情况下还给我持续加0.02分,排名也是躺着提升了一千名)
由此我开始特别重视排名,等我睡了一觉再起来看排名又往下掉了一百名,瞬间浑身难受!😈经历过��波波动之后,蛇姐心态说实话是稳了,跪着舔也要舔到底!sapien这个项目是我上车还算比较早的项目,spark已经成为了我心中的一个遗憾,入场太晚反应太慢,sapien开始我一定会抓的牢牢的!!(失去的一切我都要夺回来!!)
回忆了一下,涨分幅度大也许有这么几个原因(以下都是猜测!):
①和大v互动(在此也感谢曾经友好和我互动过的大佬,感恩有你们!蛇蛇一定会谨记在心的,有朝一日希望也能帮到各位朋友!)
②每天更新、用心写推文(我是绝对不允许ai自动生成的文案直接不变成我的帖子的,在这个流量为王的时代,我仍然相信经典永不过时,这个道理适用于做任何事情,机会来临的时候我们才有稳固的根基去抓住。所以我都会经过理解去写文章。)
③写双语,因为看榜单很多都是外国大佬,英区热度比较高。能更多语言也可以试试。
④质押我也会尽快跟上的,这一条我刚反应过来很重要,目前质押也是非常重要的趋势,还是要配合项目方实现双赢。
@JoinSapien
I climbed 1000 spots on the leaderboard!!
Here’s my website data from the past few days:
Thursday: 0.11 points, ranked 1430
Saturday: 0.164 points, ranked 1270
(At this point, I was still nonchalant and even thought about giving up... but then...)
Sunday: 0.48 points!!! Ranked 565!!!
I was feeling discouraged and confused about earning points, taking a break that day and getting a few ear piercings . But when I casually checked the website and saw this data, my mindset skyrocketed! That moment, I knew I was going to stick with @cookiedotfun
till the end. Could it be that @cookiedotfun
and @JoinSapien
heard my pleas from my last post and sent a divine message to their child, letting me know I wasn’t abandoned? (Even @sparkfinance
kept giving me 0.02 points despite me giving up on posting due to joining late, and my ranking still climbed 1000 spots effortlessly!)
From then on, I started paying close attention to the leaderboard. But after a nap, I saw my ranking drop 100 spots, and I instantly felt uneasy! After this rollercoaster, Snake Sis’s mindset is now rock-solid—I’m sticking with it no matter what! Sapien is a project I joined relatively early, while Spark has become a regret in my heart for entering too late and reacting too slowly. With Sapien, I’m determined to hold on tight!! (I’ll take back everything I’ve lost!!)
Reflecting on it, the big point increase might be due to these reasons (all guesses!):
① Interacting with big influencers (huge thanks to the awesome folks who’ve kindly engaged with me—Snake Sis will always remember this, and I hope one day I can help you all too!)
② Daily updates and heartfelt posts (I absolutely refuse to let AI-generated content become my posts without personal touch. In this traffic-driven era, I still believe classics never go out of style. This applies to everything—when opportunities arise, we need a solid foundation to seize them. So, I always write with understanding.)
③ Writing in bilingual posts, since the leaderboard has many foreign influencers, and the English-speaking community is hot. Trying more languages could help too.
④ Staking—I just realized this is crucial and will catch up soon. Staking is a key trend right now, and we need to align with the project for mutual wins.
@JoinSapien 到底干嘛的(通俗易懂版)
@JoinSapien 就像一个“去中心化的打标签游戏平台”,用区块链、代币和游戏化设计,把枯燥的 AI 数据标注变成好玩的事儿。你帮 AI 干活(比如标注图片或文本),平台给你发“数字奖励”,公平又透明。
用传统方法做数据标签(比如给图片标注“猫”或“狗”)往往就是费力不讨好,��错率极高。@JoinSapien 通过区块链和游戏化设计,让普通人愿意参与,同时保证数据质量。你帮 AI 标注一张图片是“猫”,系统确认你干得不错,就给你发点“数字货币”作为奖励。这些奖励记录在区块链上,公开透明,没人能偷偷改,这个规则挺硬核吧。
而且以前,标注数据可能得听某个公司的安排。现在 @JoinSapien 这个过程就像玩手机游戏,你完成一个标注任务,系统给你加分,还可能上“高手榜”。这让标注工作从打螺丝变成了玩游戏,哈哈,革命性的改进。😆而且你标注的数据能教 AI 变得更聪明,比如,你告诉 AI 这是“猫”不是“狗”,AI 就学着改进,最后能自己认出猫。真属于是AI 现在也开始会思考了(多年以后AI 不会统治地球吧。。。🙂)。平台像个“裁判”,能看出你是不是认真干活。如果有人想糊弄,AI 和区块链会发现,奖励就没了,算是一个公平机制吧。
并且Cookie3作为媒介,帮助 @JoinSapien 吸引更多真实用户参与,而不是机器人或无效账号,提升项目影响力。
说实话,像这样的项目机制,亮点就是他用心啊,用的都在点子上☺️。尤其蛇老师这两天还专门扒了他的官网看到了很多成长期过程中的细节,诚意满,解决的也都是行业的痛点,旨在效率打满,盈利实现最大化,大家都有好处。不论从哪个角度来看,我都看好@JoinSapien,我对行业的敏感度和知识积累不够足,但是我很看好@JoinSapien,这次我跟得紧紧的把宝压@JoinSapien身上,希望@JoinSapien别让我失望哈哈,不要丢下你的孩子!!!😈
明天休息好了打算专门拆解一下sapien六个案例的工作原理,今天累了~一会跟着前辈去打土狗了嘿嘿😌
What Does Sapien Do? (Simple and Easy-to-Understand Version)
Sapien is like a “decentralized labeling game platform” that uses blockchain, tokens, and gamification to turn boring AI data labeling into something fun. You help AI by doing tasks (like labeling images or text), and the platform rewards you with “digital rewards” in a fair and transparent way.
Traditional data labeling (like tagging a picture as “cat” or “dog”) is often time-consuming, tedious, and inconsistent in quality. Sapien uses blockchain and gamification to get regular people excited to participate while ensuring high-quality data. For example, if you label an image as a “cat” and do a good job, the system might give you some “digital currency” as a reward. These rewards are recorded on the blockchain, so everything is open, transparent, and tamper-proof.
In the past, data labeling often meant following orders from a company. Now, Sapien is like an “open marketplace” where anyone can join, the rules are fair, and rewards are automatically distributed—no need to worry about being cheated. The process feels like playing a mobile game: complete a labeling task, earn points, and maybe even climb the “leaderboard.” This transforms labeling from a dull chore into a game—haha, a revolutionary improvement! Plus, the data you label helps AI get smarter. For instance, when you tell the AI “this is a cat, not a dog,” it learns and improves, eventually recognizing cats on its own. It’s like AI is starting to think for itself (hope it doesn’t take over the world years from now, lol…). The platform acts like a “referee,” using AI and blockchain to spot if someone’s slacking or cheating, ensuring only good work gets rewarded—a fair system.
Also, Cookie3 acts as a middleman, helping Sapien attract real users instead of bots or fake accounts, boosting the project’s impact.
Honestly, the highlight of a project like this is its thoughtfulness—it hits all the right spots. Especially since Teacher Snake recently dug into Sapien’s website and found tons of details about its growth process. It’s full of sincerity, tackling real industry pain points, aiming for max efficiency and profitability, and benefiting everyone involved. From any angle, I’m super bullish on Sapien. My industry knowledge and sensitivity might not be top-tier, but I’m really optimistic about Sapien. This time, I’m betting big on it, hoping Sapien doesn’t let me down, haha—don’t abandon your kid!!!
Tomorrow, after some rest, I plan to dive deep into the working principles of Sapien’s six case studies. Feeling tired today~ Gonna follow some seniors to hunt “meme coins” later, hehe.
老天爷,$KET 的花活快给我整懵b了!
@cookiedotfun@cookiedotfuncn@yellowcatdao
最近蛇老师在学着打土狗,为了配合土狗市场天天熬夜,但是��天玩之前我都要求自己写一篇文章。我看今天都在刷屏$KET ,寻思这不是正好吗😹,差不多就是个土狗币,就拿$KET 开刀吧。结果$KET 整的花活大晚上差点把我搞傻眼,蛇老师晕成一团了🐍。。。。。
不得不说,web3.0的这些项目方真是让蛇老师开眼了,一个比一个会创新。刚看这个项目的时候挺懵逼的,不明白大家怎么这么团结一致突然给一个土狗币喊单,想查白皮书肯定是没有的,于是看了推大家发的帖子,没抓到核心。给大家传递信息之前,蛇老师必须产生对项目的信任感才能去讲项目,于是被模糊的信息量折磨了半天我转头又去骚扰Grok,最后终于搞懂一点这些花活。。。
就是因为有花活大家才有喊的劲,passion!其实关于$KET的概念描述还挺迷人的,我认为属于是土狗币之上稳定项目之下,有那么点“高级”的感觉。$KET 是所属项目YellowCatDAO且 基于 Avalanche 区块链的 Web3 项目代币,准确来说有高风险土狗币特征,但是同时可能兼具投机性 meme 币和 早期 DeFi 实验项目的性质(别怪我没提醒大家啊,投资有风险、各位需谨慎)。
关于叙事背景:
我把这个话讲通俗一点,众所周知土狗币本身就是靠市场情绪生靠市场情绪死,生死全在一念之间。所以首先$KET这个代币确实是具有很丰富的品牌叙事的,大概就是讲的流浪猫重生的故事。我还在纳闷为啥要是这样的主题,虽然流浪猫是个很经典的社会矛盾点,而且蛇老师前两天还看到了小区一个被挖掉双眼的小流浪猫 🥲,(想起来这事突然有点想哭,要流眼泪了该死。。。),只能靠气味来分辨我给他的火腿肠在哪里,又不敢靠近我,呜呜蛇老师想给猫猫一个家,但蛇老师没钱给孩子治病,自己家还有两个原住民(越想越伤心,我真要哭了我不愿意了55555。。。😭好吧我承认你的叙事确实让我产生共鸣了。。。)然后在推上了解到原来$KET 最初只是一串孤独的代码,可能是失败的空投实验或程序员的玩笑之作,然而这串代码却意外存活下来。好吧我承认这个叙事真的戳到我了,被抛弃或流浪又能怎么样呢,四海为家浪迹天涯,开创一片新天地(具体叙事推荐这位老师6.18日的推文,写的很有画面感和故事感!@xiamu723)。
这旺盛和坚韧的生命力这不就是25岁的蛇老师一生所求吗!就和我青春期一直在追的《Vampire Daries吸血鬼日记》里的凯瑟琳一样,只要还尚有一丝气息,哪怕死掉也要把魂拽回来,好,说到这里我激情投这个叙事一票哈哈哈!!
比其他土狗币更为聪明的一点,应该是$KET在品牌的技术披露上做了很大程度的营销,我感觉他们这个技术buff叠加的还挺像那么回事的😄~
🐱给大家总结展示一下:
①AI 跨链交易:通过 AI 代理自动在多链(Avalanche、Ethereum 等)执行套利或 DeFi 交易,超越传统交易机器人,就好比让你的钱能在微信、支付宝间随便转,灵活又方便。比如找到更赚钱的机会:不同区块链的 $KET 价格可能不一样,AI 可以在 Avalanche 买便宜的 $KET,跳到 Ethereum 卖高价,这样能赚差价。
②DAO 治理:$KET 持有者可投票决定项目发展(如资金分配、新功能),提供社区自治,类似正规 DeFi 项目(如 Uniswap),这一点看起来也比较诱人。
③金库管理:AI 交易利润存入金库,支持项目长期发展,感觉项目在试图解决土狗币缺乏可持续性的问题。
而且!!!
$KET 支持多种功能:点对点借贷(低利率、快审批)、跨境支付(低成本)、收益耕作、NFT 交易。这些用例比传统土狗币(仅用于炒作或小额打赏)更丰富,接近功能性 DeFi 代币哦。
花活挺多,项目方挺会玩~而且现在社区��围蛮好挺热闹,更别提cookie做背书和$KET合作了一把,推上大家的积极性也起来了,属于是buff叠满了!目前由 #KET 创始人 @nobsfud 发起的社区投票奖励名额大概率扩大至前100名,如果还是 $50,000 的 $KET 奖池话,大奖将由前100名用户瓜分!每人平均能拿到 $500 的 $KET ! 各位要不要一起冲一冲~
#KET #YellowCatDAO #eKET #CookieDAO #COOKIE
Oh my God, the fancy moves of $KET have me totally baffled!
@cookiedotfun
@cookiedotfuncn
@yellowcatdao
Lately, Snake Teacher has been learning to trade shitcoins to match the market vibe, staying up late every night. But before I dive into the fun, I always make myself write an article first. Seeing $KET trending everywhere today, I thought, "Perfect timing! " It’s pretty much a shitcoin, so let’s use $KET as my test case. But the wild tricks $KET pulled off late at night almost left me dumbfounded—Snake Teacher is dizzy as hell now …
I have to say, the project teams in Web3.0 are really opening my eyes with their innovation, one outdoing the other. When I first looked into this project, I was totally confused—how did everyone suddenly unite to hype a shitcoin? There’s no whitepaper to check, so I scrolled through posts on X but couldn’t grasp the core. Before sharing info, Snake Teacher needs to build trust in the project first, so I spent half a day wrestling with the vague details, then turned to harass Grok, and finally figured out some of these fancy moves…
It’s because of these tricks that everyone’s got the passion to hype it! Actually, the concept behind $KET is pretty intriguing—I’d say it’s above a typical shitcoin but below a stable project, with a touch of “sophistication.” $KET is the token for the YellowCatDAO project, built on the Avalanche blockchain. Technically, it has high-risk shitcoin traits but might also blend speculative meme coin and early DeFi experimental qualities (just a heads-up—investing carries risks, so be cautious!).
On the Narrative Background:
Let me break it down simply: as we all know, shitcoins live and die by market sentiment, their fate hanging by a thread. So, $KET definitely comes with a rich brand narrative—something about a stray cat’s rebirth. I was wondering why this theme, though stray cats are a classic social issue. Just the other day, I saw a stray cat in my neighborhood with its eyes gouged out (thinking about it makes me want to cry—damn it…). It could only sniff out the ham sausage I left for it but wouldn’t come near me. Wuuu, Snake Teacher wants to give that cat a home, but I can’t afford its treatment, and I’ve got two resident cats at home already (the more I think about it, the sadder I get—I’m gonna cry, I don’t want to! 55555… Okay, I admit your narrative really hit me emotionally…).
Then I learned on X that $KET started as a lonely piece of code—maybe a failed airdrop experiment or a programmer’s joke—that somehow survived. Okay, I admit this narrative really got to me. So what if it was abandoned or stray? Roaming the world, it carved out a new realm (for the full narrative, check out @xiamu723
’s post from June 18—it’s vivid and story-rich!).
This vibrant, resilient life force—isn’t that what 25-year-old Snake Teacher has been chasing? Just like Katherine from Vampire Diaries, which I obsessed over in my teens—if there’s even a breath left, she’d claw her soul back from death. Alright, I’m casting a passionate vote for this narrative! Haha!!
One smart move $KET has over other shitcoins is its heavy marketing on tech disclosure—I feel like their tech buffs are stacked pretty convincingly ~
Summary for Everyone:
① AI Cross-Chain Trading: AI agents automatically execute arbitrage or DeFi trades across multiple chains (Avalanche, Ethereum, etc.), outdoing traditional bots—like letting your money flow freely between WeChat and Alipay, flexible and convenient. For example, if $KET prices differ across chains, AI can buy cheap on Avalanche and sell high on Ethereum for a profit.
② DAO Governance: $KET holders can vote on project development (e.g., fund allocation, new features), offering community autonomy, similar to legit DeFi projects like Uniswap—pretty appealing!
③ Treasury Management: AI trading profits go into a treasury to support long-term growth, tackling the sustainability issue of shitcoins.
And!!!
$KET supports multiple functions: peer-to-peer lending (low rates, fast approval), cross-border payments (low cost), yield farming, and NFT trading. These use cases are richer than typical shitcoins (used just for hype or small tips), leaning toward functional DeFi tokens.
Lots of fancy moves, and the project team knows how to play! The community vibe is great and lively, especially with @cookiedotfun
’s backing and $KET collaboration boosting X activity—buffs are maxed out! Currently, a community voting reward pool initiated by #KET founder @nobsfud
is likely expanding to the top 100, and if the $50,000 $KET prize pool holds, the top 100 will split it—averaging $500 $KET per person! Wanna join the rush?~
Sapien!Sapien!Sapien!
从不一样的角度看Sapien,在Sapien找到自己的影子。
@PlaySapien @cookiedotfun@cookiedotfuncn
一点前言:
嘿嘿,继声势浩大的@sparkfinance之后,Sapien可谓是势如破竹,让我这个刚入行只赶了一个末班车的小白又重新看到了希望,同时也获得了很多素材和机会😇。昨天就开始扒Sapien,今天咱们继续深挖,还是那句话,咱不是闭着眼跪舔项目方的人,如果真有什么细节被我扒出来了,绝不为五斗米折腰哈哈,玩的就是真诚!!跟咱之前说的一样,细水长流是目标和理想!(我有点贪心哈哈哈一鱼多吃了,不过弱肉强食的世界不搞点花活怎么能占据大家的视野呢,我们天蝎确实爱玩点刺激哈哈🤣)
其实到现在为止我看到的也有一些小槽点,不过都是很小的细节,比如我自己做任务的时候我发现我标记错了一些,但也没有任何提示,据我的了解应该是后期还要审核,但感觉确实这个机制和我前一篇说的问题一样,会出现工作量激增的情况,但应该这也是目前综合情况下效率最高的方式了吧?🧐
正文开始啦:
目前比较抓我眼球的一点就是Sapien的白皮书项目介绍实在是太全面了····跟之前我看到的一些AI项目比,全面到什么地步呢····🧑💻白皮书总共有11个分类,其中Network growth rewards(网络增长奖励)和Protocol econmics(协议经济学)也是分类进行公开的,大家作为被吸纳的AI trainer(AI训练师,即用户)可以于前者分类里面了解自己在网络中的活动可以具体得到什么报酬;但是如果你想全面了解Sapien的项目方是如何设置整个项目的代币或是任何奖励机制,以及整个项目经济层面的状况,可以在后者分类里面详细了解。
这样的仔细分类,会让我觉得项目方很用心的在建设自己的各种框架,白皮书思路和逻辑也是比较恰到好处的,既不会让你觉得读起来感觉被忽悠了,又不会太简单,没什么好了解的。 😊
我看到白皮书这一栏的团队与生态系统这里介绍的很官方,相比之下更让我惊喜的是我今天无意间点进Sapien的官网里,看到了更丰富的内容展示。🥳其中在Resourses(资源)的Testimonials(评价)栏里有三个成员,并不是什么首席运营官之类,而是自己的出色员工介绍。我看了一下这三位成员的工作经历,确实让我这个不熟悉项目的人有了不一样的感觉,今天的惊喜就是这个细节带给我的。也许项目方是想通过这种方式展示自己内部团队的和谐,不管怎么样,我看了之后反正挺动容的。
🧑🔬其中家晓是第一位团队里的中国员工,主领数学模型训练,在人工智能的模型中数学一直是一个薄弱环节,家晓一个人慢慢见证并带领了整个Sapien数学区域的团队建设。这说明Sapien是真实的经历过漫长的成长期的,写到这里的时候,蛇老师(就是我嘻嘻)正在听dj-busy busy,这个歌听得蛇老师本身就很燃(虽然不知道在燃什么····),然后看到后面说家晓原本希望从事技术型学术工作的,结果,他发现自己从事的是实际操作的数据项目,并发现应用人工智能工作不仅同样能带来智力上的满足感,而且这让他感觉更有激情和活力时,我简直起了鸡皮疙瘩。😆这跟蛇老师(还是我···)的经历好像,我特别能明白这种身怀一技之长最终找到热爱的领域,甚至是发现了更多惊喜的感觉。
这就和蛇老师一头扎进web3.0的领域里拔不出来一样的感觉,现在的推就是蛇老师的天下,能在热爱的领域里专心学习成长是一件很幸福的事情,这样状态下的项目建设人(我不想单一的称之为员工)是会将自己的人生都投身于工作的,在整个人生中都保持着巨大的的热情。🤓
Sapien能给到这些贡献者这样的机会和环境,是一个公司强大实力的体现,不知道大家认不认同,反正我是这么觉得的。尤其是对于为何留在Sapien的问题,家晓给的答案是“敢于尝试、敢于失败、敢于学习、敢于领��的自由”、“这里有自由呼吸的空间。”(蛇老师再次燃起来了····) 😎😎😎
说实话家晓所描述的这一幕是比较符合我对web3.0的工作环境的理想规划的,这让我突然对Sapien的项目好感爆棚,现在在我眼里Sapien不仅是一个项目,更是一个公司的强大文化底蕴,经历过漫长的成长期的耕耘,人们应该看到的应该不仅仅是一个项目能给的rewards(奖励)是多少,大家的辛苦耕耘与建设更应该被看到,这是我们除了项目强大的代币经济之外更应该产生信任的一点。
另外请容许我不计篇幅成本的给大家介绍特别让我有感触的另外两个项目建设者。
第二位是一位美女建设者Tiffany ,她最初在一家家族制造公司担任行政助理,之后休息了一段时间。后来,Sapien的HR(应该是)发现了她,并让她在“针对讲台湾口音的人士的数据收集活动项目”中担任了试用期的项目经理,她凭一份剧本和一笔预算,���协调了求职网站、大学平台和社交媒体上的推广活动,在压力下证明了自己并不久就转正了。强大的胆识和执行力也是Sapien能够度过漫长成长期的一个重要原因,建设者做的每一点一滴都是浇筑Sapien的心血。Tiffany 的眼光也很前卫,她也认为人工智能是一个巨大的职业前沿,而 Sapien 则是一个发射台:“我们为人们提供的不仅仅是任务,更是未来最重要的行业之一的职业垫脚石。”这跟蛇老师现在看自己的工作是一样的心情···我写的每一篇文章都具有它本身独特的意义和角度,于个人职业生涯建设和行业建设都具有非凡的意义。
至于Devin,在业内迅速升为项目经理之后,让我比较有感触的是,Devin之前从事人寿保险工作,尤其是疫情期间,他觉得这份工作令人身心俱疲。Sapien对他来说不仅代表着职业的转变,更代表着精神的重置。“这不仅仅是一份工作;这是��真正期待的事情。”不得不说,蛇老师之前教初中英语,教了两年,感觉也是撑不住了,结果换到这个行业之后感觉重新被注入了活力,哪怕是身体很累,但心灵上有非常新鲜的血液在流动!
所以今天用那么长的篇幅发自肺腑的从这个角度去讲对项目的感受,也是希望社区环境内有不同的声音能够让大家体会到一些温度,千篇一律的模版不是我们拓展眼界的重点。我们可以在项目的建设者里面看到鲜活的形象,看到自己的影子。这种具有温度的信任感非常珍贵!
Sapien! Sapien! Sapien!
Look at Sapien from a different angle, find your own shadow in Sapien!
@PlaySapien @cookiedotfuncn @cookiedotfun
Sapien is truly breaking through like a bamboo, giving a newbie like me—who barely caught the last train—a renewed sense of hope, along with tons of material and opportunities. I started digging into Sapien yesterday, and today we’re diving deeper. As I’ve said before, I’m not someone who blindly fawns over project teams. If I uncover any details, I won’t bend for a mere five pecks of rice, haha—I’m all about sincerity!! Like I mentioned earlier, steady progress is my goal and ideal! (I’m a bit greedy, haha, trying to kill multiple birds with one stone. But in this dog-eat-dog world, how can you capture everyone’s attention without some flair? Us Scorpios do love a bit of thrill, haha.)
A Little Foreword:
following the grand momentum of @sparkfinance
So far, I’ve noticed a few minor gripes, but they’re just small details. For example, when I was doing tasks, I realized I mislabeled some things, but there was no prompt or hint. From what I understand, there’ll be a review later, but it feels like this mechanism, as I mentioned in my previous post, could lead to a surge in workload. Still, this is probably the most efficient approach under the current circumstances, right?
Here Comes the Main Content:
What really caught my eye is how incredibly comprehensive Sapien’s whitepaper project introduction is… Compared to other AI projects I’ve seen, how comprehensive is it? The whitepaper is divided into 11 categories, with Network Growth Rewards and Protocol Economics openly detailed as separate sections. As an AI trainer (i.e., a user), you can check the former to understand exactly what rewards you’ll get for your activities in the network. But if you want a full picture of how the Sapien team designed the project’s token or reward mechanisms and the overall economic landscape, you can dive into the latter for detailed insights.
This meticulous categorization makes me feel that the team is genuinely dedicated to building their frameworks. The whitepaper’s logic and structure strike a perfect balance—it doesn’t feel like it’s trying to hype you up, nor is it too simplistic with nothing substantial to explore.
The Team and Ecosystem section in the whitepaper felt quite formal, but what surprised me even more was stumbling upon Sapien’s official website today. I found richer content there, especially in the Resources section under Testimonials, which featured three team members—not fancy titles like Chief Operating Officer, but standout employees. Reading about their work experiences gave me, someone unfamiliar with the project, a fresh perspective. This detail was today’s highlight for me. Maybe the team wanted to showcase their internal harmony this way, but regardless, I was genuinely touched after reading it.
Among them, Jiaxiao, the first Chinese employee on the team, leads mathematical model training. Mathematics has always been a weak link in AI models, and Jiaxiao single-handedly witnessed and spearheaded the development of Sapien’s math division. This shows that Sapien has truly gone through a long growth period. As I’m writing this, Snake Teacher (that’s me, hehe) is listening to DJ-Busy Busy, which is already hyping me up (though I’m not sure what I’m hyped about…). Then, reading that Jiaxiao originally aspired to pursue technical academic work but discovered that working on practical data projects not only brought intellectual satisfaction but also sparked passion and vitality—I got goosebumps! It’s so similar to my own experience as Snake Teacher (yep, still me…). I totally get that feeling of having a skill, finding a field you love, and uncovering even more surprises along the way.
It’s just like how Snake Teacher dove headfirst into the Web3.0 world and can’t get enough of it. Twitter is my playground now, and being able to focus on learning and growing in a field I love is pure bliss. Project builders in this state (I don’t want to just call them employees) pour their entire lives into their work, maintaining immense passion throughout their journey.
Sapien’s ability to provide such opportunities and an environment for these contributors is a testament to the company’s strength. I don’t know if everyone agrees, but that’s how I see it. Especially when asked why he stayed with Sapien, Jiaxiao’s answer—“the freedom to try, to fail, to learn, and to lead” and “a space to breathe freely”—lit me up again!
Honestly, the scene Jiaxiao described aligns perfectly with my ideal vision of a Web3.0 work environment. It made my fondness for Sapien skyrocket. To me, Sapien isn’t just a project—it’s a company with deep cultural roots, built through years of steady cultivation. People shouldn’t only focus on how much rewards a project offers; the hard work and contributions of its builders deserve to be seen. Beyond the project’s robust token economics, this is another reason we should trust it.
Please allow me to go all out, regardless of word count, to introduce two other project builders who really resonated with me.
The second is a talented builder, Tiffany. She started as an administrative assistant at a family manufacturing company before taking a break. Later, Sapien’s HR (I assume) scouted her and gave her a trial role as a project manager for a “data collection project targeting Taiwanese-accented speakers.” With just a script and a budget, she coordinated campaigns across job boards, university platforms, and social media, proving herself under pressure and quickly earning a permanent role. Her bold vision and execution are key reasons Sapien survived its long growth phase. Every drop of effort from builders like her is the lifeblood of Sapien. Tiffany’s forward-thinking, too—she sees AI as a massive career frontier, and Sapien as a launchpad: “We’re not just offering tasks; we’re providing a stepping stone to one of the most important industries of the future.” That’s exactly how I feel about my work as Snake Teacher… Every article I write carries its own unique meaning and perspective, contributing to both my career and the industry in a profound way.
As for Devin, who quickly rose to project manager, what struck me was his background in life insurance, especially during the pandemic, which left him physically and mentally drained. For him, Sapien wasn’t just a career shift—it was a mental reset. “This isn’t just a job; it’s something I genuinely look forward to.” I have to say, as Snake Teacher, I used to teach middle school English for two years and felt completely burned out. Switching to this industry re-energized me. Even if I’m physically tired, there’s fresh blood flowing through my soul!
So, today, I���ve poured my heart into this long piece from this angle, hoping to bring some warmth to the community with diverse voices. Cookie-cutter templates aren’t the key to broadening our horizons. We can see vivid, relatable figures in the project’s builders—our own shadows. This kind of heartfelt trust is incredibly precious!
Sapien,让我来扒一扒这个有意思的AI架构!
@PlaySapien
一点前言:
最近都在刷屏sapien,本身对于一窝蜂涌上去的项目我内心是很抵触的,跟风不太符合我的性格,因为对于spark在cookie上的内卷程��我已经佛系了,对于这样的露脸形式的项目,直接有了不太好的印象,当然我这种退避三舍的行为本质上属于是退堂鼓一级选手哈哈,大家别骂我知道。😅
不过今天刷到有些KOL跟我的想法是差不多的,“经典永不过时”,做嘴撸的最大收益我认为应该还是流量复利,过程要努力尽力,但眼光和心态要放长远,细水长流的来。作为KOL,自身也应该对于维护舆论环境有一定的责任感,认真投研是根本,结果起飞是必然。😇
OK,那么今天我抱着试试看的态度去查了一下sapien,首先推上和我刚才说的一样,各种AI对话的语言复制的帖子直接刷屏,看的我心烦,很少有写的通俗角度新颖,有自己理解的帖子。
🧐于是我去找了官网白皮书。原汁原味的虽然没办法直接轻松读懂,但是慢慢浏览了一遍,百分之八十五还是可以的,结合中文我又看了一遍,试着做了一下官网的任务内容。现在给大家通俗的拆解一下这个项目的构架(可能一篇拆不完,我们慢慢讲,大家可以根据我提供的一些线索去判断这个项目的价值)。
正文开始(基本架构介绍篇):
首先官网的白皮书目录是非常详细的,第一印象很好很加分。明确了项目融资1550万美金,由Variant Fund领投,Animoca Brands、Base等参投,这个在rootdata上都能查到,挺权威。🖥️
他的介绍栏这里有一组小标题说的是“Play. Train. Earn.”我觉得这个小标题蛮有意思的,这基本就是sapien官方强调的特色了。
sapien这个名词含义本身也是来源于拉丁语,意思是智人,这个项目又是做的AI领域,对应的就是这个Train吧,I guess(我猜)....据白皮书介绍,自从2024年第四季度上线以来,已经吸纳了超15万名AI trainers(AI 训练师),处理了数百万个经过质量验证的数据点。看来项目的活跃性还算可以的,这里用到的词语AI trainers(AI 训练师)也挺有亮点的挺高端哈,其实说白了,因为项目的核心规则就是让全人类参与进来,任何人都可以贡献自己的专业知识。👩⚕️如果你是医生,你可以在此训练医疗AI;🧑💻如果你是工程师你可以在这里增强技术模型,你在什么领域就可以贡献什么领域的知识。不得不说这是一举两得,既增加热度又降低成本。 😆😆😆
所以很明显的一点,目前人工智能行业正在经历前所未有的增长,预计到 2030 年将超过 1.8 万亿美元,这样的扩张速度就会带来一个巨大的挑战:如何训练日益复杂的人工智能模型,以此来获取我们所需要的高质量人类知识。
官方在白皮书里专门列出了一栏阐述了“THE CHALLENGE & OPPORTUNITY”(挑战与机遇)。解释了一点:解决了初步的知识吸纳问题,后面还会出现质量验证问题,如果没有一个可靠的大规模验证方法来核验大家的贡献质量,且不同领域的贡献验证标准也不同的话,那这个机制就是个鸡肋。但看白皮书介绍,sapien四个layer(层)里面是已经有一个Qualification: The Proof Layer,意思是:保证质量的证明层。就是能够凭证验证和专业知识验证的自动化,在保持严格标准的同时实现专业领域的访问。
但是...悄咪咪说...我找了很久,发现公开文档中未明确公开这个细节,Github也没看到,不知道是不是方法有问题呢····找不到The Proof Layer的技术支持,这让我对此项目架构是否能顺利落地有点存疑,毕竟庞大的生活愿景如果没有技术支持只是理想,理想很丰满,现实很骨感!!不过既然白皮书提到了有这个验证层应该是没问题的吧····🤪🤪����
不管了,项目方最近开始造大声势���高热度了,看起来势头还挺猛的,大家如果觉得看好也可以跟一跟,具体方法我先写在下面。
方式1: 0撸测试网
①进入官网,点击左下角注册,选择谷歌或钱包均可:https://t.co/stRpCXVL2d
②右上角设置个人资料,绑定邮箱直接500分
③点击页面左侧的任务面板,根据要求完成相关任务(这会很多任务做不了,晚点再试)
④点击积分面板查看自己的积分和排名,提取邀请链接拉人头赚奖励,下面是我的,大家可以给小女子赏脸用一下邀请码:
https://t.co/DQINifa3pK
⑤完成培训中心任务
方式2:嘴撸0.5%空投
①注册Cookie,需要Code
②每天坚持发布Sapien推文+互动,记得艾特官推 @PlaySapien
下一篇 我们再继续扒一下其他方面数据~欢迎各位蓝v互关互动!!
Sapien, Let Me Break Down This Intriguing AI Architecture!
A Little Preface:
Lately, Sapien has been all over my feed. Honestly, I’m usually pretty resistant to projects that everyone’s jumping on board with—following the crowd isn’t really my thing. Having seen how intense the competition got with Spark over cookies, I’ve already gone full “zen mode” about it. So, projects like this that rely on showing off don’t exactly leave a great first impression on me. I’ll admit, my instinct to steer clear is basically me being a top-tier “retreat artist,” haha. Please don’t roast me, I know!
That said, today I saw some KOLs (key opinion leaders) who share my perspective: “Classics never go out of style.” To me, the biggest payoff from just talking about a project (aka “mouth farming”) is the long-term traffic benefits. You’ve got to put in the effort, but keep your perspective and mindset long-term—slow and steady wins the race. As a KOL, I also think we have a responsibility to maintain a healthy discourse environment. Serious research is the foundation, and success will naturally follow.
Alright, so today I decided to give Sapien a look with an open mind. As expected, X is flooded with repetitive AI chatbot-style posts, which got on my nerves. Very few posts were written in a clear, fresh, or insightful way. So, I went straight to the official website and whitepaper. The original text wasn’t exactly easy to digest, but after slowly going through it, I understood about 85% of it. I also cross-referenced some Chinese sources and tried out some tasks on the website. Now, I’m going to break down this project’s architecture in a simple way for you all (it might take more than one post, so we’ll take it slow). Feel free to use the clues I provide to judge the project’s value for yourself!
Main Content (Basic Architecture Introduction):
First off, the whitepaper’s table of contents is incredibly detailed, which gives a great first impression and earns some points. It clearly states that the project raised $15.5 million, led by Variant Fund, with participation from Animoca Brands, Base, and others. You can verify this on Rootdata.
In the introduction, there’s a small subtitle that says Play. Train. Earn. I found this pretty interesting—it basically sums up Sapien’s official selling point. The term “Sapien” comes from Latin, meaning “wise person” or “Homo sapiens,” and since this project is in the AI space, I’m guessing it ties to the “Train” part... According to the whitepaper, since its launch in Q4 2024, Sapien has onboarded over 150,000 AI trainers and processed millions of quality-verified data points. This suggests decent project activity. The term “AI trainers” is also a highlight, as the core mechanism is about involving all of humanity—anyone can contribute their expertise. If you’re a doctor, you can train medical AI; if you’re an engineer, you can enhance technical models. Whatever your field, you can contribute knowledge to it. This is a win-win: it boosts engagement while keeping costs low.
Here’s the obvious takeaway: the AI industry is experiencing unprecedented growth, projected to exceed $1.8 trillion by 2030. This rapid expansion brings a huge challenge: how to train increasingly complex AI models with high-quality human knowledge. The whitepaper dedicates a section to “The Challenge & Opportunity,” explaining this. Even after solving the initial knowledge collection problem, there’s still the issue of quality verification. Without a reliable, large-scale method to verify contributions across different fields with varying standards, the mechanism would be useless. However, the whitepaper mentions that Sapien’s four-layer architecture includes a Qualification: The Proof Layer, which is meant to ensure quality through automated credential and expertise verification while maintaining strict standards for domain-specific access. But... after digging for a while, I couldn’t find any clear details in the public documents about how this Proof Layer is technically supported. This makes me a bit skeptical about whether the architecture can actually be implemented smoothly. After all, grand visions without technical backing are just dreams—and while dreams are nice, reality can be harsh!
Still, the project team has been ramping up momentum lately, and it seems to be gaining traction. If you’re bullish on it, you might want to jump in. I’ll outline the methods below.
Method 1: Testnet Participation (Zero Cost)
① Visit the official website, click “Join” in the bottom left, and sign up with Google or a wallet:
https://t.co/stRpCXVL2d
② Set up your profile in the top right and bind your email for an instant 500 points.
③ Go to the task panel on the left side of the page and complete tasks as required (many tasks aren’t available yet, so try again later).
④ Check your points and ranking in the points panel, grab your referral link to invite others for rewards. Here’s mine—please do me a favor and use it:
https://t.co/DQINifa3pK
⑤ Complete tasks in the training center.
Method 2: Mouth Farming for 0.5% Airdrop
① Sign up for Cookie (requires a code).
② Post daily Sapien-related tweets and engage, making sure to tag the official account @PlaySapien
.
Stay tuned for the next post, where we’ll dig into other data points! Feel free to follow and interact, especially my blue-check friends!!
#CookieFun #Sapien #TrainToEarn #AItraining #YapToEarn #SNAPS #SmartEngagement #SmartFollowers #CookieCampaign #Web3Social #SapienJourney