The rapid rise of large-scale foundation models and autonomous AI agents is reshaping the knowledge ecosystem. Academic journals, long designed for human-to-human communication, now face a growing mismatch: an increasing share of knowledge is consumed by machines, not only by people. This editorial argues that this shift calls for a move toward a third generation of academic journals enabled by parallel publishing. Using the historical transition from hunting and gathering to agriculture as an analogy, we suggest that knowledge production must evolve from passive harvesting to systematic cultivation of content that is reliable, structured, and usable by models and agents. We then examine the risks of low-quality, fabricated, and citation-manipulated publications, and discuss how the role of researchers is changing from authors to stewards of reusable knowledge assets. Finally, we draw attention to recent community efforts promoting parallel embodied and digital publishing systems and propose knowledge asset tokenization as a practical mechanism to improve traceability, incentivize quality, and support sustainable human-AI co-evolution.