# Shanghai AI Lab Open-Sources Multimodal Foundation Model 'ShuSheng-S2'

- Category: Flash (快讯)
- Published: 2026-09-15T12:00:00.000Z
- Source date: 2026-09-15
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Shanghai AI Laboratory has released ShuSheng-S2, an open-source multimodal foundation model. Its general capabilities rank among the top tier of open-source models. The model performs comparably to leading closed-source systems in scientific long-horizon tasks such as biology, materials science, chemistry, and advanced mathematics. By employing a Memory Decoder architecture with pluggable professional memory modules, ShuSheng-S2 balances domain expansion with general proficiency while strengthen

## At a glance

- ShuSheng-S2 ranks top-tier among open-source models, matching leading closed-source systems in scientific long-horizon tasks
- Uses Memory Decoder architecture with pluggable memory modules to enhance long-horizon reasoning and agent execution

## The update

Shanghai AI Laboratory has officially open-sourced ShuSheng-S2, a multimodal foundation model. The model demonstrates excellent general capabilities, securing a position in the first tier of open-source systems. It matches the performance of leading closed-source models in scientific long-horizon tasks, including biology, materials science, chemistry, IMO-Proof, and AdvancedMathBench. Technically, ShuSheng-S2 introduces a Memory Decoder architecture featuring pluggable professional memory modules. This design effectively balances domain-specific expansion with general foundational capabilities. It also enhances stability in long-horizon reasoning chains and improves execution efficiency for agent tasks, providing robust support for complex scientific computing and automation.

## Sources

- [书生Intern](https://mp.weixin.qq.com/s/EZghVJB13rJTRfBv2_U0Xw) (2026-09-15)

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