Not What I Intended
About this book
Anyone who thinks that, at an early age, they can plan their entire life is mistaken.
Nancy Kress has been exploring the possibilities of genetic engineering, human evolution, alien contact, artificial intelligence, and the future of the species for over forty years, with one eye on the bleeding edge of science and the other on the human soul and what makes it bleed. These stories, and the essays that explain her own history and worldview, compose a brief tourist’s guide for the world to come.
In the title memoir, “Not What I Intended,” Kress discusses a childhood and community life where no young girl ever dreams of becoming a writer, and how she made those nondreams come true.
“Patent Infringement” is a short piece inspired by Kress’s own time writing corporate copy that managed to predict COVID, COVID vaccines, and the patenting of genes for profit.
“Laws of Survival” is a tale of first contact in which humanity is hardly the species the aliens are interested in—can an amateur dog trainer save the world the aliens have trashed, or at least herself?
“Amy Lowell, Cixin Liu, Jane Austen, and the Art of Fiction” is a compelling essay about the human drive to create patterns, and what the cognitive limitations of patternmaking means for fiction … and for politics.
“Machine Learning” is science fiction but might also be a work of psychological realism about the creation of AI and the healing of a scientist’s grief over the loss of his daughter.
And featuring an in-depth Q&A with new Outspoken Authors series coeditor Nick Mamatas, who traveled up to Seattle to talk to Nancy about the future of plagues, sleepless nights, teaching science fiction writing, and dogs dogs dogs!
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Information
Table of contents
- Cover
- Half-title Page
- Title Page
- Copyright
- Contents
- Patent Infringement
- Not What I Intended
- Laws of Survival
- âBooks Cannot Be Sold as Though Theyâre John Deere Tractorsâ Nancy Kress Interviewed by Nick Mamatas
- Amy Lowell, Cixin Liu, Jane Austen, and the Art of Fiction
- Machine Learning
- Bibliography
- About the Author