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To Create Plant-Like Astronauts Who Can Adapt to Eternal Interstellar Expeditions
Version 1
: Received: 16 June 2023 / Approved: 19 June 2023 / Online: 19 June 2023 (05:38:15 CEST)
How to cite: Sun, T. To Create Plant-Like Astronauts Who Can Adapt to Eternal Interstellar Expeditions. Preprints 2023, 2023061302. https://doi.org/10.20944/preprints202306.1302.v1 Sun, T. To Create Plant-Like Astronauts Who Can Adapt to Eternal Interstellar Expeditions. Preprints 2023, 2023061302. https://doi.org/10.20944/preprints202306.1302.v1
Abstract
Based on the eventual destruction of the solar system and the critical need for human continuation, this article suggests sending synthetic biology- and AI-created plant-like astronauts to the closest habitable exoplanet, Teegarden's Star b. Here we show that these astronauts will have green skin, blue blood, and the ability to perform photosynthesis. They could withstand cosmic radiation and extremely low temperatures in space while generating energy through photosynthesis. This groundbreaking interdisciplinary approach may provide a solution to the survival challenges faced by humans on their eternal interstellar journey. As long as plant-like astronauts possess human consciousness, it does not matter whether they are even a hybrid of carbon-based and silicon-based life. They will be a continuation of humanity on exoplanets. Human faces two options for survival. The first is the Mars migration program led by Elon Reeve Musk, which remains within the solar system and may not protect against the Sun's future scorching all life on the solar system during its red giant phase. The second option involves a more daring approach: the frantic escape of plant-like astronauts from the solar system. Should we consider both options simultaneously, much like how humans use their two legs to walk?
Keywords
Plant-like astronauts; Artificial intelligence; Synthetic biology; Green skin; Blue blood; Human consciousness
Subject
Physical Sciences, Space Science
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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