Perle has entered the Coinbase roadmap, which means it's almost TGE. I've been following this project for a long time, and there are also many people who are interested in it on X. Currently, there are quite a few environments that can go on the Cb roadmap, including my bet on edgex, which has also gone on Cb Cb has a unique positioning, and those that can be included in the roadmap are considered as representatives of the track that have been preliminarily recognized by mainstream capital Whether it's grooming or the second level after TGE, it's necessary to have a deep understanding of the project and make a preliminary judgment on it Perle is a rather unique and essential point in the field of AI, and I will try to explain it in plain language as much as possible The official definition is that Perle is building an enterprise level sovereign AI data infrastructure, not a model or computing power, but rather addressing data quality issues Because there is a pain point in the AI track, which is called model collapse in academia. It means that the data becomes increasingly fake, causing the large model to deviate from reality. In normal AI application scenarios, there is not much problem. For example, when we use chatgpt to assist in writing articles, the data referenced by AI is often wrong. Many of them are AI's own data fabricated to complete the tasks you assign If the data is wrong, it's wrong. We can optimize and adjust it ourselves. Most AI models have a high fault tolerance rate in application scenarios, but some scenarios do not allow fault tolerance, such as medical, intelligent driving, and military. The consequences of data errors are unbearable, and in severe cases, it can be fatal This is the pain point that Perle aims to address, providing AI with "verifiable real data". The general solution is for all training data to be reviewed and verified by real human experts, and auditable records to be retained on the chain In fact, it is to make Ai's data sources closer to reality, such as medical data being labeled by doctors, legal documents being reviewed by lawyers, complex language being handled by linguists. The more real data contributed by experts in various fields, the higher the reputation on the chain. Then, B2B services are provided to form a business model with demand There is another core irreplaceable advantage behind Perle's success in this field, which is that the Perle team comes from Scale AI. I'll explain it to everyone. Scale AI provides data for OpenAI, Meta, and the US government, with a valuation of $30 billion Perle can be understood as "Scale AI for Web3" Finally, let me share my thoughts on Perle: TGE, I cannot predict. What Perle is doing is not a narrative model, but a real necessity in the AI field. Data annotation is already a huge business in Web2, and it naturally has a connection with blockchain. It requires transparency in on chain data recording, combined with the token economy, which can attract more professional talents to expand data sources and data volume, and thus use the advantages of Web3 to seize the market share of Web2 Simply put, Perle is a practical AI solution that is highly compatible with blockchain technology and has the potential to participate in the market competition for Web2 AI data annotation in the future