Remember to check if you have received any email from @ buidlpad regarding the priority allocation of @ SaharaLabsAI in your email. The subsequent process is as follows (the following times are UTC+8) 📌 From 23:00 on June 8th to 23:00 on June 11th, everyone needs to complete KYC certification during this time period 📌 From 23:00 on June 10th to 23:00 on June 11th, participation in subscription registration is required during this time period. The official here will conduct a review to exclude witches. At the same time, we don't need to make any payment 📌 The period from 23:00 on June 14th to 23:00 on June 15th is the true time for asset investment. Minimum 50U, maximum 3000U Additionally, it should be noted that their KYC issues have been relaxed and are basically consistent with Solayer's KYC region, with some additional support areas added. However, Bangladesh's KYC still cannot pass Then a few more words about @ SaharaLabsAI Yesterday, while chatting with friends, we also talked about whether web3 AI has a real possibility of landing or is purely a gimmick and a plate. Because only those who have truly stayed in the factory know how much data and manpower it takes to build a usable AI project with zero foundation. When I first entered the workplace, I led many teams for data annotation, both outsourced and in-house. At that time, there weren't many concepts of AI, so we relied solely on feeding massive annotated data to train algorithms. Millions or even billions of pieces of data are annotated day and night by a team of several hundred people ➡️ Feeding ➡️ analysis ➡️ Annotate again ➡️ Feed again. A batch of data may serve multiple algorithms simultaneously Even @ OpenAI relies on the annotation data provided by the Sama annotation team in the early stages, and then feeds it to chatgpt for training, From my current perspective, @ SaharaLabsAI is currently doing such a very infrastructure project. Both model developers and data contributors can find value here in Sahara. They essentially want to create a platform that connects the link of "data contribution → model execution → incentive allocation" That's good, make the data valuable. If you really want to implement Web3 AI in the future, you can also rely on purchasing this data information for feeding/training.