Massively parallel reporter assays across five cell types identify thousands of causal, noncoding regulatory variants among 220,000 loci, revealing diverse regulatory mechanisms shaping complex traits and disease.
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I have been thinking a lot lately about “diachronic AI” and “vintage LLMs” — language models designed to index a particular slice of historical sources rather than to hoover up all data available. I’ll have more to say about this in a future post, but one thing that came to mind while writing this one is the point made by AI safety researcher Owain Evans about how such models could be trained:
双方积极评价中德全方位战略伙伴关系框架下的良好合作，一致认为相互尊重、互利共赢、继续开放对话、合作应对共同挑战是发展中德关系的根本原则。此访为两国伙伴关系发展注入新动力。双方强调中德政府磋商机制对全面推进两国合作的统领性意义。