Misinformation and entropic acceleration: algorithms’ departure from life

Shiqiao Li
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Abstract

While algorithms have become lifelike in their capability to generate original information with large data sets and processing power, they depart from life in their parallel production of misinformation and entropic acceleration. Cell evolution on earth over billions of years has to some extent prophesied the most effective evolutionary paths of digital technology: generating original information from normalization of large number of atoms and random variation through genetic mixing in prokaryotic and eukaryotic cells. Yet, cell evolution seems to operate according to the second law of thermodynamics in which entropy defines life processes. Algorithms have so far not responded to the subversion of life through misinformation and entropic acceleration. If we were to reverse misinformation and entropic acceleration, algorithms must return to life to merge the underlying principles of life on earth with the production of original information. Biology must take precedence over mathematics in our twenty-first century metaphysical formulations and materials production.

错误信息和熵加速:算法与生活的背离
虽然算法在利用大型数据集和处理能力生成原始信息方面已经变得栩栩如生,但在平行生成错误信息和熵加速方面却与生命相去甚远。地球上数十亿年的细胞进化在某种程度上预言了数字技术最有效的进化路径:通过原核细胞和真核细胞中的基因混合,从大量原子的规范化和随机变异中生成原始信息。然而,细胞进化似乎是根据热力学第二定律进行的,其中熵定义了生命过程。迄今为止,算法尚未对通过错误信息和熵加速来颠覆生命的行为做出反应。如果我们要扭转错误信息和熵加速,算法就必须回归生命,将地球生命的基本原理与原始信息的产生融合起来。在我们二十一世纪的形而上学公式和材料生产中,生物学必须优先于数学。
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