Tag
Intern-S2-Preview is a scientific agentic foundation model series integrating multimodal pretraining, multi-task reinforcement learning, and memory-augmented extensions for long-horizon scientific reasoning and forecasting. The 397B model achieves competitive results across scientific and agentic benchmarks, with a separate memory-decoder extension improving biology instruction performance without modifying the backbone.