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链语成长

1. 用什么学什么 通过使用Web3课程资料作为练习素材,参与者能够在实践中学习行业相关的英语表达,提升专业领域的听说能力。 2. 强化听觉与表达 以音频+复述为主要练习方式,重点培养学员的听力和口语表达,减轻视觉依赖,使学习更符合实际交流场景。

By shaok
Team WantedAllSocialFi

web3 兼职平台

1、建一个支持加密货币支付的兼职发布平台 2、通过智能合约,用工方可以明确交付工作的标准,达标后智能合约自动支付交易费用 - 或者设计可编程平台代币作为备选解决方案 3、双方可以通过“监督者”这一预言机角色应对可能的交易纠纷 - 监督者由系统完全随机选取。双方可以针对项目特点预先设定监督者条件 - 可以由任意单数人参与 - 监督者负责为交付物是否达成预设标准提供额外的人工检查 - 对于交付结果是否达标,使用质押方式投票 - 监督者抽取交易金额的一部分作为奖励 4、平台抽取一定交易金额作为盈利

By MW
Team WantedArbitrumDAO

DevRel DAO

DevRel DAO can solve problems like isolation in the field by providing a decentralized community for networking and mentorship. It also offers access to shared resources and career development opportunities, helping professionals stay updated and advance their careers.

By Naitik Gupta
Team WantedAllDAO

NexDAO

建立一个Web3领域内第一的说真话媒体平台,通过视频、文字等形式,深入浅出地科普Web3的核心概念和实际应用,帮助用户避坑,建立正确的行业认知。前期通过内容切入市场,后续基于流量和客户需求扩展多个业务和板块。通过双管齐下的策略,主线业务(main)专注于高品质的内容输出和行业清流,副线业务(side)利用资源创收短期现金流,确保团队的长期发展。最终,项目将以DAO的形式运作,media作为第一个subDAO,逐步扩展和退出更多的subDAO,推动Web3生态系统的健康成长。

By mr k
Team WantedAllDAO

Everything DAO

做多个subdao,来替代中心化化机构为web3赋能

By mr k
AllInfra

Discover

1. Namespace/Personal Space Management 2. Contract Component Discovery Ecosystem 3. Component and Application Build Tools 4. Ecosystem Integration 4.1Provide API interfaces to support AI description word generation websites. 4.2Support users in front-end design and contract combination through AI, provide simulation execution functions, and display execution results. 4.3A wallet system centered on Discover and space, helping users discover and access contract front-ends in the ecosystem and manage their space systems.

By 0xWrapper
Team WantedSolanaDeFi

关于豪华精品

这是我的解决办法

By Qian Jiang
AllAI

DePin 2.0

A potential solution involves leveraging zero-knowledge proofs (ZKPs) to certify the execution of specific swarm strategies without revealing the strategy’s details. This cryptographic technique can validate that a swarm operated according to a pre-defined algorithm, based on hardware-attested data collected from the swarm and cryptographically signed information from external sensors. By incorporating ZKPs, we can establish a trustless environment where the behavior of robot swarms is verified in real-time, mitigating the risk posed by Byzantine robots.

By Harry Zhang
AllAI

Alternative Paths to Verifiable Inference

Several approaches are being explored. This is a relatively new field and there is an opportunity for different approaches that make different tradeoffs. Ora is experimenting with opML. This approach involves a single party ‘optimistically’ inferencing a model, putting the result on-chain, and incentivising verifiers to challenge incorrect results by paying them tokens. Aizel is building a solution based on Multi-Party-Computation (MPC) and Trusted Execution Environments (TEE). Their aim is to do verifiable inference at the same cost as normal inference.

By Harry Zhang
AllAI

Verifiable Training

Make the training process itself verifiable. Build tools to break down how a model was trained and check if it contains a given piece of data. Several approaches can be explored: Integrate cryptographic primitives into the training process itself. For example, Pytorch NFT Callback hashes the current network weights, some metadata (data, accuracy, etc…) and your eth address every N epoch, which proves who did the model training. Note: This approach introduces a performance overhead to training models.

By Harry Zhang
AllAI

AI DAO

Automate proposals by giving members of a DAO an AI Agent that votes on their behalf based on their values. The model could use a Bayesian approach which takes into account the uncertainty in the decision being made. If the uncertainty is above a threshold, then bring the proposal to the attention of the members of the DAO and require a manual vote. The onboarding process for creating these AI agents needs to be streamlined for users to adopt this. A combination of on-chain and off-chain data from each user can be used to define the preferences of a user without too much manual work.

By Harry Zhang
Team WantedLineaSociFi

Web3 Tinder社交平台

1. 連結錢包登入 2. 藉由用戶在平台上的互動獲取配對值 3. 配對值需消耗一定的token(賦予token價值) 註冊時直接可用錢包登入,免去註冊流程 每個人都會有配對值,配對值等級取決於在平台上的互動(留言數、點讚數、登入等) 配對值有等級制,也代表你在平台的會員層級 不同會員層級,在配對時需要用token去配對

By Becky Chang
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