When I saw Coinbase launch @ gensynai, I knew it was another overlooked project and I paid attention to it early on. This time, a 2% airdrop will be given to test network users, with a total amount of 10 billion. According to the current pre-market 0.05U, this 500 million airdrop worth 25 million will be directly given to early participants. The person who does it is probably a big shot. We have confirmed the launch of top exchanges such as Coinbase and Kraken! In addition, OKX Boost has been given a 0.2% share, and Binance Alpha is expected to have a 0.3-0.5% share. OKX Boost+Binance Alpha are also stable! Last December, over 16 million US dollars were raised, and participants in the public auction received 10 USDC for free. It has to be said that the pattern is quite large. Gensyn is positioned as an open infrastructure layer for artificial intelligence. The total financing of the project is approximately 78 million US dollars (led by top institutions such as a16z crypto), which is impeccable in terms of background, financing, and positioning. Gensyn has built an open digital marketplace that allows both humans and machines to participate, providing core capabilities such as computing power, data, and information exchange. In summary, Gensyn not only helps you run a big model, but also aims to become the "economic backbone" for AI's continuous autonomous learning. The first mainnet application Delphi (Predictive Market) was officially launched on April 22nd. In addition to Delphi, there are also test network applications such as RL Swarm (trained over 175000 AI models with a peak of over 40000 nodes) and CodeAssist (local privacy code assistant), which are verifying the feasibility of end-to-end computing and decentralized training. Gensyn proposed the concept of "market as optimization loop". Traditional AI involves a small group of people training large models in the laboratory and then selling APIs; Gensyn allows thousands of models to compete in the market, with whoever predicts correctly making money, while simultaneously enhancing the overall model capabilities across the entire network. This may really break the monopoly of giants and make AI more realistic and diverse.