The teacher's vision is very broad, and their focus is extremely deep and three-dimensional, with a clear outline. Thanks for Sharing From my personal perspective, I prefer projects that I am familiar with and have been following for a long time. We continue to track our product line for products like Sahara that have already been issued, with a focus on tracking those that have not yet been issued. @NousResearch ：https://(nousresearch.com)/ @gensynai： https://www.gensyn.ai/ In the field of distributed training, Nous and Gensyn are currently the most experimental and breakthrough representatives. Nous is one of the few teams that truly pushes distributed training into the executable stage, while Gensyn is a more platform thinking computing network that standardizes and validates AI training tasks like miners mining. I'm waiting for losers. Personally, I think we should focus on Nous, which completed a $50 million Series A investment led by Paradigm and has a valuation of $1 billion. In my previous tweets, I have been particularly interested in Nous sasha mira. Sahara has been listed on Binance, and Nous is definitely a potential target. @SentientAGI The application layer public chain under the DeAI narrative has a strong productism and a very strong tone: @AlloraNetwork It is said that he is one of the DeAI models closest to landing returns, and should be oriented towards vertical finance @gaib_ai https://gaib.ai The typical representative currently linking GPU resources, data centers, and stablecoins creates high-yield stablecoin products through RWA like methods. In the future, it may become the core equity support for AI collateralized stablecoins. Compared to most AI projects that only burn money, it has already attempted to make the project itself have a real cash flow carrier, which is quite forward-looking. Of course, from the perspective of airdrops or early participation, although these DeAI projects have grand narratives and positive directions, most of them have high entry barriers, long cycles, and slow feedback, unlike traditional task platforms where one can get started right away. Many projects are still in the construction or testing phase, requiring continuous output and long-term tracking, and the airdrop revenue is uncertain. So, my suggestion is: Don't cover the entire store, focus on tracking 1-2 of the most promising ones and deeply participate based on your own cognition, The deeper the water, the more it tests Sir's cognitive selection and time allocation abilities