The New Conflict of the Faculties and Functions: Quasi-Causality and Serendipity in the Anthropocene

B. Stiegler, Danielle Ross
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引用次数: 10

Abstract

Abstract:The concept of entropy has been applied to life and, in Nicholas Georgescu-Roegen's bioeconomics of exosomatization, to human life. These accounts of "negentropy" must be reinterpreted in the age of the data economy, however, from a perspective that starts from the technological or exosomatic condition of all knowledge. This can be opened up from a reconsideration of Kant's account of intuition, understanding, and reason that must also be a critique of the absence of the technological in Kant's account of the schematism. Armed with this critique, we can understand the data economy as the use of powerful, probabilistic algorithms premised on reducing the "given" to calculable "data," a reduction in turn founded on and bringing about the reduction of knowledge to information. The entropic character of the data economy can then be conceived as the elimination of the incalculable and unexpected elements at the root of all knowledge. It is this elimination that suggests to Chris Anderson the idea of the end of theory; in other words, it is what prevents "bifurcations," that is, the prospect that new knowledge will open futures that would be not just negentropic but "neganthropological." In the Anthropocene, which is now leading to a state of absolute nonknowledge while producing massively entropic biospherical effects, it is crucial to transform data architectures and the faculties of knowledge in ways that not only undo the reduction of knowledge to information but do so starting from the neganthropological functions of knowledge, systems open to the improbable that would also amount to quasi-causal cosmologies.
能力与功能的新冲突:人类世的准因果性与偶然性
摘要:熵的概念已经被应用于生命,在尼古拉斯·乔治斯库-罗根的外躯体化生物经济学中,熵的概念被应用于人类生命。然而,在数据经济时代,必须从所有知识的技术或外在条件出发,重新解释这些“负熵”的说法。这可以从对康德关于直觉,理解和理性的叙述的重新思考中打开,这也必须是对康德关于图式的叙述中缺乏技术的批判。有了这一批判,我们可以将数据经济理解为使用强大的概率算法,其前提是将“给定的”简化为可计算的“数据”,这种简化反过来又建立在并带来了将知识简化为信息的基础上。因此,数据经济的熵特性可以被理解为消除了所有知识根源中无法计算和意想不到的因素。正是这种消除向克里斯·安德森提出了理论终结的想法;换句话说,它是防止“分叉”的东西,也就是说,新知识将打开未来的前景,这不仅是负熵的,而且是“负人类学的”。在人类世(Anthropocene)中,它现在正在导致一种绝对的非知识状态,同时产生大规模的熵球效应,因此转变数据架构和知识的能力是至关重要的,不仅要撤销将知识还原为信息的做法,而且要从知识的负人类学功能开始,向不可能的系统开放,这也相当于准因果宇宙论。
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