According to @ch402, a new research note details an alternative variant of transcoders that models MLP layers as conditional linear transforms. This approach could drive efficiency in AI model training and deployment, potentially enhancing the performance of AI-powered trading tools in the cryptocurrency market. As advancements in AI architectures accelerate, crypto traders may see increased automation and smarter trading algorithms, which could shape market liquidity and volatility (source: @ch402).