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wutao

@wutao

343 Following
264 Followers
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wutao
@wutao
I just got my Basename as part of Onchain Summer! 😎 Basenames are ENS names supercharged by @base: low-cost (or free!), easy to use, and a powerful tool for connecting builders across the onchain economy. Get yours today.
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wutao
@wutao
Just minted my sovereignty attestations onchain!
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wutao
@wutao
Mint Touch Grass
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wutao
@wutao
🎭 Check your MASKS STATS 🎭 Frame created by @logoslegend
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wutao
@wutao
I got my Moxie Pass! Mint yours to be eligible for upcoming airdrops, grants, Fan Tokens and more! cc @betashop.eth @airstack.eth
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wutao
@wutao
The fearless lightning will definitely have its own sky. Don't imitate, only innovation is the true definition of the project.😀 😀 😀 😀 😀
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wutao
@wutao
Good news, the mask has made good results, looking forward to surpassing degennnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnn.
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wutao
@wutao
Banteg, the core of Yearn for LayerZero's behavior, issued a document on the X platform saying that compulsory donation is more like a beautified ICO At the same time, it called for stopping the batch funding of ProtocolGuild because it has been very successful in attracting funds and should look for other smaller initiatives to support it
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wutao
@wutao
I'm doing something with $CDS @catsdosomething on @base! Ready to join the purrlitical revolution. #YesWeCat #catsdosomething #OnchainSummer #Election2024 Use my referral link 😻
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wutao
@wutao
Ai x FHE members include: Mind Network (@ mindnetwork_xyz) An FHE re-pledge layer is used to protect proof of interest (PoS) and opportunities for collusion and manipulation by AI network nodes through high-value data encryption and private voting SightAl (@ theSightAI) A verifiable FHE AI reasoning blockchain with verifiable FHE-ML The blockchain consists of three main parts: the data aggregation layer (DA layer) of the visual chain and a visual inference network (Sight Inference Network), in which FHE-ML tasks are performed Based AI (@ getbasedai) Based AI is an L1 blockchain that integrates FHE with a large language model (LLM) using a mechanism called "Cerberus Squeezing". This mechanism can transform any LLM into an encrypted zero-knowledge large language model (ZL-LLM)
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wutao
@wutao
我们经历了Defi1.0—Defi2.0，目前正在Defi3.0，从传统金融演进思路来说，Defi3.0核心标志是 #RWA 和 衍生品，传统金融有的ABS MBS证券化产品，Web3叫 #RWA，但范围更广！
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wutao
@wutao
Farcaster 涵盖三个层次分别是身份层、数据层和应用层三部分： 身份层：基于以太坊，确定网络上的操作权限，以身份和认证为核心。 数据层：存储经身份层授权的信息，并保证其可用性。 应用层：消费数据层的信息，为用户提供服务。
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