我们可以假设这样的场景：在Hive发布了自己刚写的文章，同时铸成了NFT在Opensea上拍卖。 前几天的文章刚有人买下了，钱包里多了10来个ETH。逛了下Sushi，有几个新的项目还蛮有意思， 就用几个ETH支持了下。和几个项目组刚完成了一期的设计，合约中的款项已经支付到帐。 晚上约好了朋友去兰桂坊喝一杯，那里早已支持ETH付款。晚上回到家，看了下屏幕： DeFi产生的收益自动支付了每天的房贷，距离结清还剩300天。抬头看了下夜空，数点星空， 景色正好。

We can assume such a scenario:I just made some money from selling an NFT on Opensea, supported a few projects on Sushi, and paid for drinks at a bar with ETH. Later, I saw that my DeFi investments had paid off my mortgage, and I looked up at the night sky with a sense of satisfaction.

Lark NFT会是一系列开放式的NFT合约，用户在支付一定量的LARK后即可铸造自己的NFT。 同时，这个NFT可以同步发布到自己的社交网络Hive上。用户可以在自己的社交网络中为自己宣传， 同时可以到Opensea上对作品进行拍卖。

Lark NFT will be a series of open NFT contracts, where users can mint their own NFTs by paying a certain amount of LARK. At the same time, this NFT can be synchronized and published to their social network Hive. Users can promote themselves on their own social network, and can also auction their works on Opensea.

Lark Pools奖励池采用混合奖励的设计，包含5个模块，它是对社区成员的奖励分配， 其中包含：Delegated Pool 、Dev、 DAO、 VC pool 和 SLP Pool， 其中SLP pools 又可包含多个SLP奖励池。

可以通过多种方式来获取奖励：Hive的社区成员可以通过代理HP来获取奖励，也可以通过SLP做市、 贡献代码等其它方式。 快来加入吧！

Lark Pools rewards pool adopts a hybrid rewards design, which consists of 5 modules, and it is a reward distribution to community members, including: Delegated Pool, Dev, DAO, VC pool and SLP Pool, where SLP pools can contain multiple SLP rewards pools. Rewards can be obtained in various ways: Hive community members can obtain rewards by delegating HP, as well as other ways such as SLP market making, contributing code, etc. Come join us!

AI·Joe，随手可用的智能助手，如影似人。它是基于多个语言模型和开发框架， 比如：Openai API、Google PaLM2 Chat、Meta Llama、Stable Diffusion、LangChain等。 致力于打造优秀的人工智能助手和自动化的工作流程。 它开箱即用，对具体的应用场景和参数都做了调优。 在不断升级的过程中，将迎来更加智能化的未来！

AI·Joe, the intelligent assistant. It is based on several language models and development frameworks, such as: Openai API, Google PaLM2 Chat, Meta Llama, Stable Diffusion, LangChain, etc.. It is dedicated to building great AI assistants and automated workflows. It works out of the box and is tuned for specific application scenarios and parameters. In the process of continuous upgrading, it will usher in a more intelligent future!