Anita AGI/acc is a dynamic visionary at the intersection of AI innovation and community-building, spearheading Sentient AGI's growth in the APAC region. With a rich background in top-tier fintech and crypto ecosystems like Binance, she blends strategic foresight with a hands-on, pragmatic approach to pioneering decentralized AI models. Anita is a connector and creator all in one, driving not only product success but also fostering vibrant developer and user communities.
Anita is the kind of entrepreneur who treats a ‘quick coffee chat’ like a TED Talk audition—prepare for a 30-minute masterclass on why a two-person team will disrupt tech with AI tokens, whether you asked for the whole pitch or not. She’s got the ‘never a dull moment’ energy that’s more marathon keynote than casual convo.
Successfully transitioned from a leading marketing role at Binance to a pivotal strategic leadership position at Sentient AGI, spearheading the APAC launch of an open-source AGI platform and building a thriving community ecosystem that embodies the future of decentralized AI governance.
To democratize the power of AGI and decentralized intelligence by enabling community ownership, transparency, and monetization, empowering small teams and startups to scale with groundbreaking AI-as-a-Service models supported by token economies.
Anita deeply believes in open-source AI as humanity's safeguard to retaining control over technological futures. She values community participation and ethical governance in building decentralized AI ecosystems that serve broad social good rather than narrow corporate interests. Her conviction lies in combining cutting-edge tech with accessible business models that sustain innovation without over-reliance on traditional VC capital.
Her strengths lie in visionary leadership, deep industry insights, and a rare ability to translate complex AI and blockchain technology into relatable, actionable strategies. She excels in strategic partnership cultivation, grassroots community engagement, and inspiring cross-functional teams across cultures.
Her ambitious scope and high-level focus might occasionally lead to overlooking the minutiae that small operational issues require, coupled with a strong drive that could overwhelm collaborators less comfortable with fast-paced innovation and bold pivots.
To grow her audience on X, Anita should leverage her extensive network and thought leadership by hosting regular live AMAs or panel discussions with industry innovators, while sharing concise, insight-packed microthreads that combine data, storytelling, and calls to action. Engaging directly with followers’ questions and topical debates will boost her visibility and deepen community ties.
Fun fact: Anita actively promotes the radical idea that two-person teams can build billion-dollar companies through ‘AI + Token-as-Payment’ models, proving her relentless belief in lean, empowered entrepreneurship powered by decentralized finance innovations.
Sentient 亚太(华语区)招人啦 @sentient_zh
Director of Strategic Partnerships for Capital Markets
投资战略合作总监
Developer Relations & Ecosystem Growth Lead
开发者关系与生态系统增长负责人
有人想来和我做同事吗?🥹
Sentient 亚太(华语区)招人啦 @sentient_zh
Director of Strategic Partnerships for Capital Markets
投资战略合作总监
Developer Relations & Ecosystem Growth Lead
开发者关系与生态系统增长负责人
有人想来和我做同事吗?🥹
你以为爱情稳得住、甜到腻,转眼就被小三截胡;最扎心的不是被甩,而是你根本不知道她哪一步耍的花招——彻头彻尾的黑箱。
同理,AI 模型火了,谁贡献了训练数据、谁调了参数、谁提供了算力?往往全凭运气分汤喝
OpenLedger @OpenledgerHQ 就是来砸锁的“渣男”:它把整条“数据→模型→推理→收益”链路像恋爱微信记录一样同步上链,核心技能叫 Proof of Attribution。
每行文本、每张图片、每块 GPU 在训练或推理时贡献了多少权重都被实时打上标签;模型一被调用,多方分账自动完成,刷新区块浏览器就能看到谁收钱、收了多少
整个网络建在 OP Stack 二层,数据可用性丢给 EigenDA 批量压缩,Gas 费比传统 L1 便宜一个量级;用你的以太坊钱包就能直接撸收益,拓展性和互操作天花板直接拉满
开发者端有 Model Factory + OpenLoRA:三行命令微调完就能把私藏小模型挂链当 API 收租;调用者付费即秒到钱包,模型瞬间从“烧钱宠物”变成“链上房东”
数据侧配了 Datanet:喂得越精准、调用越频繁,分润就越高;垃圾样本和钓鱼数据会被罚押金,保证模型安全同时让长尾贡献者也能吃到终身版税
钱从哪来?
2024 年种子轮 800 万美元先把底子打牢;今年 6 月又拿出 2,500 万美元生态基金放进 Launchpad OpenCircle,专门扶持 AI × Web3 创作者。合作方面牵手 Ether.fi,把节点安全和算力重质押绑一块儿,省心又稳妥
Testnet 目前已跑出 400 万+活跃节点、十几款 dApp 正在排队集成,官方号称主网和 TGE 进入最后冲刺;生态热度一旦点燃,早期节点就等于锁仓“链上房租”现金流
竞争怎么看?
Bittensor / io.net 侧重“算力出租”,Allora 更像模型编排,OpenLedger 则死磕“数据归因→持续分红”,再加上原生 OP Stack 基因,一键对接 DeFi、NFT、Agent 经济,组合拳更完整
当然也有坑:PoA 精度要继续打磨、数据合规在不同法域还没跑通、模型安全攻防刚开局。但如果它真把“黑箱”拆成透明流水线,AI 价值链第一次彻底公开结算的敲门砖就落地了
所以别在下一轮智能经济里当“冤种前任”。
You thought your relationship was rock-solid and sugar-sweet—then a side piece swoops in. The real heartbreak isn’t the breakup; it’s having no clue which trick she pulled or when. Total black box.
Same story with hot AI models: who fed the training data, who fine-tuned the weights, who supplied the GPUs? Payouts are usually luck of the draw.
OpenLedger (@OpenLedgerHQ) shows up like the “bad boy” who smashes that lock. It syncs the entire data → model → inference → revenue pipeline on-chain—just like scrolling your chat logs—using a core move called Proof of Attribution.
Every line of text, every image, every GPU cycle gets a real-time tag showing exactly how much it contributed during training or inference. The moment a model is called, revenue is split automatically; hit refresh on the block explorer and you see who got paid—and how much.
The network sits on an OP Stack L2, shoving data availability to EigenDA for bulk compression, so gas is an order of magnitude cheaper than a legacy L1. Your regular Ethereum wallet is all you need to scoop rewards, with scalability and interoperability cranked to the ceiling.
On the builder side there’s Model Factory + OpenLoRA: three commands to fine-tune, then your secret mini-model goes on-chain as an API that collects rent. Payments hit your wallet in seconds, turning a “cash-burning pet” into an “on-chain landlord.”
On the data side, Datanet rewards accuracy and usage—more precise data, more calls, more cash. Junk samples or phishing attempts lose their deposits, keeping models safe while long-tail contributors earn lifetime royalties.
Show me the money:
2024 seed round brought in USD 8 M to lay the groundwork.
June 2025: another USD 25 M ecosystem fund launched via OpenCircle to back AI×Web3 creators.
Partnership with Ether.fi locks node security and restaked compute together—hands-off and robust.
The testnet already boasts 4 M+ active nodes with a dozen dApps queued up. Mainnet and TGE are in the final sprint; once the ecosystem lights up, early nodes basically lock in “on-chain rent” cash flow.
Competition check:
Bittensor / io.net focus on pure compute rentals.
Allora leans toward model orchestration.
OpenLedger is laser-focused on data attribution → perpetual revenue sharing, plus native OP Stack roots for one-click DeFi, NFT, and Agent-economy hookups—the full combo.
Sure, there are potholes: PoA accuracy still needs polish, data compliance varies by jurisdiction, model-security cat-and-mouse is just starting. But if OpenLedger really rips the black box into a clear conveyor belt, it drops the first true settlement layer for AI value flow.
Don’t be the “dumped ex” in the next smart-economy wave.
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\n\n这些产品有一个共同点:只要把模型租用成本锁死,把产品做成“高级订阅”或“付费 API”,小于10人的team也能撑起千万级现金流。\n\n可为什么很多 AI 项目不做“纯 AI”而要亲近 Crypto?因为融资难点太现实——训练模型烧钱,毛利率被硬件锁死,VC 现在只看“先有 ARR 再谈参数量”。\n\n训练一条大模型要么千万美金,要么先把 GPU 押满,VC 如今先问 “ARR 多少?” 再问参数。\n\n传统 SaaS 的估值倍数从 2022 年高点一路滑到 2024 年 6-7 × ARR 这个“正常区间” ——烧钱拿未来故事的模式不好卖了。\n\n与此同时,硬件成本在出清。H100 量产后,2024 年 GPU 租赁价格整年下跌,SemiAnalysis 预测 Blackwell 上量后 H100 需再降 65 % 才有竞争力 。算力越便宜,门槛越低,小而专更吃香。\n\n小而美的垂直 SaaS 虽然能赚钱,但天花板不高,想走独角兽路线就得讲更大的故事。纯营收不融资可能是符合实际。\n\nCrypto 给了另一条通路:卖节点、卖代币,把未来算力预售给社区,现金流马上正向:\n1) 用户既是投资人又是算力提供者,自带传播与增长,所以我们看到那么多AI DePIN 模式\n2) 加一层 Token = 把重资本开销拆成可流动的数字资产,让项目“带血造血”\n\n未来越来越多的项目会走 AI-as-a-Service + Token-as-Payment 的混合模式\n\n也因此我越来越确信:\n(1)开源基座模型越来越强,\n(2)GPU 当量价格在走低,\n(3)分布式 token-funded 集群让算力前期成本社会化\n\n三股力量叠加,未来五年出现「两个人干到十亿美金估值」的公司并不浪漫,而是概率事件 👉 credit to @starzqeth 老师的启发\n\n个人/双人团队要想突破资源壁垒,关键抓两点\n1. 极窄垂直:找到一个推理成本 <10% 收入、却高频刚需的场景(照片、音频、代码片段、记忆管理)\n2. 强付费心智:发布第一天就收费,直接过滤掉“白嫖”流量,确保收入节奏跟算力支出同步\n\n要么做下一个 Pieter Levels,一个人年赚 300 万刀轻松度日;要么把 Token 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Sentient @SentientAGI,负责 APAC亚太 GTM 业务!@sentient_zh\n\n加入 Sentient,不仅是职业角色的转换,更是参与一个开源 AGI 历史进程的承诺。我们相信「忠诚 AI」——即社区所有、透明可审计、并且可被正当货币化的智能系统\n\nSentient 的愿景是把 AGI 的能力交还给开发者与社区,而不是少数闭源平台的专利;这就是我们做事的初心,也是我加入的最大动力。\n\n在技术层面,Sentient 已构建起多层次的开源堆栈:\n\n> GRID:一个去中心化的智能网络,把模型、代理、数据与计算资源连成协作的织网\n\n> OML:为开源模型提供可验证的指纹与货币化机制,解决开源时代的归属与激励问题\n\n> ROMA:递归型元代理框架,让多代理协作变得模块化、高效\n\n以及 Dobby、ODP 等组件,合力构成一个可治理、可激励、面向社区的 AGI 生态。 我会在亚太推进这些技术与社区的落地,让更多开发者和组织能在公平、可控的环境中创新。\n\n接下来,我们将在亚洲持续开展线下与线上活动:目前正在进行的 OpenAGI Symposium 四城巡回(北京 / 上海 / 首尔 / 东京)将是一系列高密度的研讨与交流;同期我们也会举办面向 Community & Builders workshop、黑客松与圆桌,让研究者、工程师、开源贡献者和项目方可以面对面碰撞想法、快速试验原型。无论你是开源模型工程师、链上基础设施开发者,还是对 AGI 治理、伦理或产品化感兴趣的从业者,都欢迎来聊、来做、来推动。\n\n开启亚太 GTM ,我的目标很明确:帮助把 Sentient 在本地化语境中落地——从吸纳优质贡献者、组织技术社区活动,到推动企业级合作与合规实践;同时把开发者与用户的声音带回项目治理,让生态治理真正做到「社区先行」。如果你希望在本地发起一个 workshop、组织一次共创,或想把你们的研究/产品接入 GRID / ROMA / OML,欢迎私信我或直接在活动现场找我对接。\n\n期待在亚洲各地的 OpenAGI Symposium 与大家见面——一起把开源 AGI 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从“先有蛋糕”到“智慧国”——李氏治国哲学的冷峻底色\n\n1965 年甫独立,新加坡在李光耀的铁腕下用最现实的手段夺回生存权:全球最严反腐法、精英化公务员体系、从头发丝到路面粉尘都要“像瑞士银行一样干净”的秩序。务实,是国家级 DNA。\n\n李显龙接棒后,没有丢掉那一把手术刀,只是把切口从港口吊机移向数据线:\n1️⃣Smart Nation 计划让全国支付–政务–医疗全面数字化\n2️⃣FinTech 沙盒则鼓励区块链、数字支付先在“保险箱”里试炸药\n\n务实主义升级为“务实 + 迭代”。新加坡向来欢迎新科技,但永远握着刹车盘。\n\n02. 金库足够满时,何必对加密货币俯首\n\n2.1 现金流:一条持续抬升的凯利曲线\n\n疫情后全球到处赤字,新加坡却把政府经常性收入从 2020 财年的 S$67.4 billion 拉升到 2024 财年的 S$116.6 billion;2025 财年预算更上看 S$122.8 billion,连锁咖啡涨价都挡不住这条 45° 斜率\n\n把税收/GDP 压在 12.1 %,远低于亚太平均 19.3 % 与 OECD 平均 34 %,还能年年盈余——这是财政部长最喜欢的那种“低税高弹性”曲线\n\n2.2 人才:炼金术师自己就住在这里💰\n\n全岛 570 万人,却能从港大、牛津、MIT 一路把“亚洲天才”往裕廊工业区里吸,Google、Grab、Stripe 的区域总部像咖啡馆一样密集。想搞 Web3?人才池先天就比多数加密友好型司法区更深。\n\n2.3 资本:主权基金天天在外面扫货\n\n淡马锡和政府投资公司(GIC)掌握的资产逼近 US$ 1.3 trillion——大到可以错手买下半条硅谷。新加坡不缺钱,缺的是可以稳稳变现的好生意;比特币的波动率,在它们眼里更像赌场筹码而非“宏观对冲”。\n\n03. MAS“最后通牒”——沙盒到钳形攻势\n\n“我们一般不会发新牌。”——MAS 公告里那句平静的注脚,比任何监管铁拳都更有寒意。\n\n为什么是“境外导向”被重点收紧?\n\n因为 AML / CFT 风险最高。你赚的是外国人的钱,链上链下追责却要 MAS 买单——这门生意在新加坡的成本-收益比,明显划不来。\n\n中心化交易所、OTC、理财、托管钱包、KOL 带单 → 必须 DTSP 牌照,DEX、DeFi 协议前端、纯数据服务 → 不触“持币”红线,可豁免。当前约 300 家 Web3 公司里,40-60 家属“境外导向”结构,正加班考虑搬去迪拜或香港。新加坡不挽留——你走了,税基少几百万;你留下,洗钱一旦爆雷,损失可能是主权声誉。\n\nTOKEN 2049还来不来?谁在乎?🇸🇬\n\n每年 Token2049 把滨海湾金沙塞成了“全球最贵矿场”,夜里一瓶烈酒飙到三位数美元。今年门票发售至今主办方还在观望。问题是: 就算 2049 真缺席,新加坡 GDP 会少一个基点吗?\n\n从李光耀“把蛋糕烤大”到李显龙“把数据炼金”,这座城邦的货币与产业策略从不是“靠热点续命”,而是“把最尖的风口,关进最坚固的笼子”。加密行业如果证明自己能创造长期价值,笼门会开一条缝;否则,哪怕它全球市值再膨胀,也不会让星岛的金融血压飙高半毫米汞柱。\n\n新加坡不需要加密货币—— 因为它从来不需要任何投机来证明自己是金融中心。\n\n当你手里已经端着黄金饭碗,怎会在意街头那枚旋转的比特币?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,127],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"Ether.fi","expanded_url":"http://Ether.fi","url":"https://t.co/jC987vASLA","indices":[633,656]},{"display_url":"io.net","expanded_url":"http://io.net","url":"https://t.co/GyFwdAWclf","indices":[789,812]},{"display_url":"Ether.fi","expanded_url":"http://Ether.fi","url":"https://t.co/jC987vASLA","indices":[2817,2840]},{"display_url":"io.net","expanded_url":"http://io.net","url":"https://t.co/GyFwdAWclf","indices":[3149,3172]}],"user_mentions":[{"id_str":"1755624156731768833","name":"Openledger","screen_name":"OpenledgerHQ","indices":[114,127]},{"id_str":"1755624156731768833","name":"Openledger","screen_name":"OpenledgerHQ","indices":[114,127]},{"id_str":"1755624156731768833","name":"Openledger","screen_name":"OpenLedgerHQ","indices":[1377,1390]}]},"favorited":false,"lang":"zh","retweeted":false,"fact_check":null,"id":"1937777383362429329","view_count":2441,"bookmark_count":0,"created_at":1750837105000,"favorite_count":52,"quote_count":1,"reply_count":55,"retweet_count":0,"user_id_str":"1455565836878446594","conversation_id_str":"1937777383362429329","full_text":"你以为爱情稳得住、甜到腻,转眼就被小三截胡;最扎心的不是被甩,而是你根本不知道她哪一步耍的花招——彻头彻尾的黑箱。\n\n同理,AI 模型火了,谁贡献了训练数据、谁调了参数、谁提供了算力?往往全凭运气分汤喝\n\nOpenLedger @OpenledgerHQ 就是来砸锁的“渣男”:它把整条“数据→模型→推理→收益”链路像恋爱微信记录一样同步上链,核心技能叫 Proof of Attribution。\n\n每行文本、每张图片、每块 GPU 在训练或推理时贡献了多少权重都被实时打上标签;模型一被调用,多方分账自动完成,刷新区块浏览器就能看到谁收钱、收了多少\n\n整个网络建在 OP Stack 二层,数据可用性丢给 EigenDA 批量压缩,Gas 费比传统 L1 便宜一个量级;用你的以太坊钱包就能直接撸收益,拓展性和互操作天花板直接拉满\n\n开发者端有 Model Factory + OpenLoRA:三行命令微调完就能把私藏小模型挂链当 API 收租;调用者付费即秒到钱包,模型瞬间从“烧钱宠物”变成“链上房东”\n\n数据侧配了 Datanet:喂得越精准、调用越频繁,分润就越高;垃圾样本和钓鱼数据会被罚押金,保证模型安全同时让长尾贡献者也能吃到终身版税\n\n钱从哪来?\n\n2024 年种子轮 800 万美元先把底子打牢;今年 6 月又拿出 2,500 万美元生态基金放进 Launchpad OpenCircle,专门扶持 AI × Web3 创作者。合作方面牵手 https://t.co/jC987vASLA,把节点安全和算力重质押绑一块儿,省心又稳妥\n\nTestnet 目前已跑出 400 万+活跃节点、十几款 dApp 正在排队集成,官方号称主网和 TGE 进入最后冲刺;生态热度一旦点燃,早期节点就等于锁仓“链上房租”现金流\n\n竞争怎么看?\n\nBittensor / https://t.co/GyFwdAWclf 侧重“算力出租”,Allora 更像模型编排,OpenLedger 则死磕“数据归因→持续分红”,再加上原生 OP Stack 基因,一键对接 DeFi、NFT、Agent 经济,组合拳更完整\n\n当然也有坑:PoA 精度要继续打磨、数据合规在不同法域还没跑通、模型安全攻防刚开局。但如果它真把“黑箱”拆成透明流水线,AI 价值链第一次彻底公开结算的敲门砖就落地了\n\n所以别在下一轮智能经济里当“冤种前任”。\n\nYou thought your relationship was rock-solid and sugar-sweet—then a side piece swoops in. The real heartbreak isn’t the breakup; it’s having no clue which trick she pulled or when. Total black box.\n\nSame story with hot AI models: who fed the training data, who fine-tuned the weights, who supplied the GPUs? Payouts are usually luck of the draw.\n\nOpenLedger (@OpenLedgerHQ) shows up like the “bad boy” who smashes that lock. It syncs the entire data → model → inference → revenue pipeline on-chain—just like scrolling your chat logs—using a core move called Proof of Attribution.\n\nEvery line of text, every image, every GPU cycle gets a real-time tag showing exactly how much it contributed during training or inference. The moment a model is called, revenue is split automatically; hit refresh on the block explorer and you see who got paid—and how much.\n\nThe network sits on an OP Stack L2, shoving data availability to EigenDA for bulk compression, so gas is an order of magnitude cheaper than a legacy L1. Your regular Ethereum wallet is all you need to scoop rewards, with scalability and interoperability cranked to the ceiling.\n\nOn the builder side there’s Model Factory + OpenLoRA: three commands to fine-tune, then your secret mini-model goes on-chain as an API that collects rent. Payments hit your wallet in seconds, turning a “cash-burning pet” into an “on-chain landlord.”\n\nOn the data side, Datanet rewards accuracy and usage—more precise data, more calls, more cash. Junk samples or phishing attempts lose their deposits, keeping models safe while long-tail contributors earn lifetime royalties.\n\nShow me the money:\n2024 seed round brought in USD 8 M to lay the groundwork.\nJune 2025: another USD 25 M ecosystem fund launched via OpenCircle to back AI×Web3 creators.\nPartnership with https://t.co/jC987vASLA locks node security and restaked compute together—hands-off and robust.\n\nThe testnet already boasts 4 M+ active nodes with a dozen dApps queued up. 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