Since December last year, I have been tracking this project on Sahara AI Testing Network and have written several articles introducing the basic situation and important progress of the project. Recently, Sahara AI is going TGE and has opened up 1.4167% of its market share to the community. The 600 million FDV is actually not cheap (the previous round of financing was valued at 400 million US dollars), but I have decided to participate. Mainly, I am optimistic that @ SaharaLabsAI, as a public chain designed for native AI, has the opportunity to become a leading representative in this new field. Combined with Sahara AI's data performance in several rounds of testing, the community's popularity and ecological response have been very good. The platform for this round of TGE is Buidlpad, whose founder was also from Binance and was responsible for Binance Launchpad and CoinMarketCap. One detail worth noting is that the assets that users need to invest are BNB or USD1, not stablecoins such as USDT or USDC. As is well known, USD1 is a stablecoin issued by the Trump family. Previously, Abu Dhabi Sovereign Fund invested 2 billion yuan in Binance based on USD1. In this structure and context, it also indicates that the Sahara AI project should receive a lot of support from ecosystems such as Binance and BNB Chain in the future. Looking back at the key milestones and data of Sahara AI in the past six months: Sahara AI started with high financing from star institutions (https://(((x.com))/SeaBitcoin/status/1870281990827839755), led by Polychain, YZi Labs, and Pantera Capital, and quickly became a representative of AI public chains. In the S1 and S2 phases of the testing network, over 100000 users participated in data annotation, with millions of data points, which can be said to be rolled up to flying (https://(((x.com))/SeaBitcoin/status/1896719150409712000). ◦ Feed the data labeling capability back to other AI applications (https://(((x.com))/SeaBitcoin/status/1915321810536587406), and the first collaboration was with MyShell, opening up a new business model. Prior to the launch of the SIWA public testnet (https://((x.com))/SeaBitcoin/status/1925005459220220311), there were over 3.2 million wallet addresses, over 1.4 million daily active wallets, and over 200000 users of DSP who contributed data.