这篇论文分析了AI如何把科研从手工艺变成流水线，还举了Genesis项目的例子，提出了七个扎心问题，比如同行评议会不会被机器淹没，读了对AI和科学的关系会有新认识。
这篇论文提出，AI正从工具变成研究中的自主参与者，标志着科研从手工艺模式转向流水线模式。以美国能源部的Genesis项目为案例，讨论了七个关键问题：科学能力代际传承的侵蚀、AI生成理论的不透明性、同行评议被机器产出淹没问题等。作者指出这些不是反对AI科学，而是负责任发展的条件。
The Industrialization of Research ; On AI-Driven Science and Its Consequences
Artificial intelligence is transforming scientific research - not merely as a more powerful instrument, but as an autonomous participant in the research cycle itself. This transition constitutes, in the most precise sense of the term, the industrialization of research: a shift from a craft model, in which knowledge, method, and judgment are embedded in the researcher, to a pipeline model, in which these steps are decomposed, automated, and supervised. The US Department of Energy's Genesis Mission is the most ambitious current instantiation of this shift, but the fundamental questions it raises extend far beyond any single program. This essay examines seven such questions: the erosion of the intergenerational transmission of scientific competence; the growing opacity of AI-generated theories; the collapse of peer evaluation under a flood of machine-generated output; the unproven capacity of AI for paradigm-shifting discovery; the capture of the scientific agenda by political and industrial actors; the compounding of systematic errors in closed-loop pipelines; and the structural bifurcation of the global research community into incommensurable tiers. These concerns do not constitute an argument against AI-driven science - whose demonstrated potential is real and significant. They constitute the conditions under which that potential can be responsibly pursued.