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为什么说新一轮的“链上叙事”风暴已经来临?
1)股票代币化的基础设施已经基本到位,像xStocks、币安(bStocks)、OKX(Unified Tokenized Stocks)、Ondo、Robinhood Chain、Hyperliquid/Lighter 的链上Perps、OKX Wallet/Fomo钱包等等;
2)把股票搬上链,会催生很多可组合创新实验。比如抵押Stocks借贷稳定币、股票和MEME组LP、交易税购买股票、趋势资产空投、基于股...
也来聊一聊@ethena$ENA:
1)估计大部分人对上周期故事讲太圆,又摔下神坛的项目都持有畏惧之心,很正常。信仰变成亏损的崩溃Debuff很多人都承受过。但忽略这些情绪,$ENA这项目被称为牛市发动机的卡位可能会一直存在,也就是说,只要市场一直正螺旋牛,它的数据就可能扶摇直上,这是我关注它的基础思考;
2)它做的是合成美元$USDe,核心玩法很简单:用户存加密资产进去,协议同时开等量永续空头,做成delta-neutral,然后把资金费率和质押收益分给质押的sUSDe...
聊聊最近关注的一个项目@Stacks
2)它是比特币生态的项目,但不是被大家嗤之以鼻 的BTC layer2,事实上,大多数比特币生态的项目都很反感被视作layer2。它在尝试让BTC实现原生生息功能,这点很重要,如何让BTC Holder在不交出私钥托管的情况下持续...
在CES大会期间,英伟达全新推出的Rubin架构成了最近市场讨论的焦点,什么MOE架构之外另一重大突破,什么为Agentic AI时代量身设计等等,我深入看了下,的确感受到老黄“自我革命”那味了:
1)过去英伟达依附的是GPU硬件优势,踩上了各大AI巨头都在疯狂采购算力训练大模型的红利期。那时候逻辑很简单,谁的显卡多谁就能训练出最好的模型。
但现在AI战争已经从“算力”战场转移到“推理”,尤其是Agentic时代到来后,AI需要处理高频、多步、超长上下文的推理。
这个时...
看到不少朋友在秀AI新工具,晒Prompt技巧,分享眼花缭乱的workflow,但但但,不知道大家是否有同感:我们这帮自以为站在潮头的“聪明人”,其实都只是在后面拼命喘息的追赶者。AI发展实在太快了,这些以至于即使整体浸淫于此也感觉追不上节奏:
1)如果给学习AI技能定义个“半衰期”的话,那估计可以按周计了。
原本还在学习如何更好驾驭Cursor,然后Claude Code一出来就风靡了,原本还在为自己琢磨出来的各种Prompt工程技巧而骄傲,但Skills出来之后瞬间觉...
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The writers behind this newsletter.
Blockchain Researcher | Crypto Content Creator | 硬核科普Focus on Security、DaTa、Zero-Knowledge, etc | 聚焦安全、数据、零知识证明等区块链前沿技术研究。
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