Intern-S2-Preview: Scientific Agentic Foundation Model
Scientific discovery increasingly requires AI systems that can reason over scientific evidence of heterogeneous modalities, interact with scientific tools and environments, and sustain progress across long task horizons. We present Intern-S2-Preview, a series of scientific agentic foundation models designed to support multimodal scientific understanding, reasoning, generation, and long-horizon tasks. The training pipeline begins with scientific multimodal pre-training over rendered scientific do
Record details
Published: 12 August 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 14 August 2026
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ethics.ai (12 August 2026), “Intern-S2-Preview: Scientific Agentic Foundation Model,” evidence record 19146, https://ethics.ai/record/19146 (originally published by HuggingFace Daily Papers).
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