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Historically, the applications of the Amnio-M in medical therapy started in the early 1900, when Davis proposed its application in skin transplantation. Cells of the Amnio-M are essential for regulating the development of the embryo by providing several cytokines and growth factors and contributing to the extracellular matrix (ECM) production. These layers comprise two types of cells: the amniotic epithelial cells (AECs) and the amniotic mesenchymal stromal cells (AMSCs). The latter consists of a compact layer, a fibroblast layer, and finally, a spongy outer layer. The Amnio-M comprises three layers, an epithelial layer toward the fetus, a basement membrane, and a stroma. The most inner part of the placenta in direct contact with the fetus is called the amniotic membrane (Amnio-M). Tip! If you’re working in the Jupyter environment, be sure to include the %matplotlib inline Jupyter magic to display the histogram inline. 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Since then, I’ve done a deep analysis of what’s actually in the data set, which is now at the center of several lawsuits brought against Meta by writers such as Sarah Silverman, Michael Chabon, and Paul Tremblay, who claim that its use in training generative AI amounts to copyright infringement. I wrote in The Atlantic about how the data set, known as “Books3,” was based on a collection of pirated ebooks, most of them published in the past 20 years. This summer, I acquired a data set of more than 191,000 books that were used without permission to train generative-AI systems by Meta, Bloomberg, and others. You can read about the origins of the database here, and an analysis of what’s in it here. Editor’s note: This searchable database is part of The Atlantic ’s series on Books3. |
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