The long-context model (LTM) developed by the Magic team can handle context information of up to 100M tokens, representing a significant breakthrough in the AI field. This technology is specifically designed for software development, greatly enhancing the quality and efficiency of code synthesis by providing a wealth of context during the reasoning process, incorporating substantial code, documentation, and libraries. Compared to traditional recurrent neural networks and state-space models, the LTM model offers clear advantages in the storage and retrieval of large amounts of information, allowing for the construction of more complex logical circuits. Additionally, the Magic team has partnered with Google Cloud to utilize the NVIDIA GB200 NVL72 for building next-generation AI supercomputers, further advancing reasoning and training efficiency.