SHARE: Social-Humanities AI for Research and Education
arXiv cs.CL / 4/14/2026
📰 NewsSignals & Early TrendsIdeas & Deep AnalysisModels & Research
Key Points
- The article introduces SHARE, a family of base causal language models designed and fully pretrained specifically for social sciences and humanities (SSH), alongside a companion MIRROR user interface for SSH-focused workflows.
- It claims SHARE’s performance on SSH text is close to that of a general-purpose model (Phi-4) despite using roughly 100 times fewer tokens, evaluated via a custom SSH Cloze benchmark.
- The MIRROR interface is intended to support critical review of SSH text inputs while preserving disciplinary engagement and norms.
- The report proposes a textless generative AI interaction pattern (via MIRROR) to leverage SHARE model capabilities without generating new text that could undermine SSH principles.
Related Articles

Black Hat Asia
AI Business

Big Tech firms are accelerating AI investments and integration, while regulators and companies focus on safety and responsible adoption.
Dev.to

Don't forget, there is more than forgetting: new metrics for Continual Learning
Dev.to

Microsoft MAI-Image-2-Efficient Review 2026: The AI Image Model Built for Production Scale
Dev.to
Bit of a strange question?
Reddit r/artificial