This paper critically examines technology's role in preserving endangered languages and its relationship with social justice. The concepts of "Slow Language Models" and "Small Large-Language Models" are introduced, emphasizing community-led language preservation efforts. The paper highlights the limitations of current large language models, focusing on their text-centric bias and issues of transparency and representation in AI development. The Santali community serves as a case study, illustrating successful community-driven language preservation in the digital age. The research advocates for "Slow Language Models" and "Small Large-Language Models" as collaborative approaches, challenging the rush for technological solutions and calling for ethical, community-centered practices in AI and machine learning development.