Foresight News reported that the proxy data generation platform SixGPT will launch on the Vana mainnet at 14:00 on December 18th. SixGPT aims to address the data bottleneck issue in machine learning models by increasing the scale of datasets and enhancing the efficiency of machine learning training processes. SixGPT stated that its miners collected over 117 million data examples during the testnet phase, which is nearly double the total number of Wikipedia pages. This data is used to generate and parse Q&A topics. SixGPT will introduce a new mechanism tomorrow that allows miners to access high-quality real-time data. This approach, which mixes real and synthetic data, can produce better results.