Big historians are attempting to construct a general holistic narrative of human origins enabling an approach to studying the emergence of complexity, the relation between evolutionary processes, and the modern context of human experience and actions. In this paper I attempt to explore the past and future of cosmic evolution within a big historical foundation characterized by physical, biological, and cultural eras of change. From this analysis I offer a model of the human future that includes an addition and/or reinterpretation (...) of technological singularity theory with a new theory of biocultural evolution focused on the potential birth of technological life: the theory of atechnogenesis. Furthermore, I explore the potential deep futures of technological life and extrapolate towards two hypothetical versions of an ‘Omega Civilization’: expansion and compression. (shrink)

The dominant forms of thought today exist as either deconstructive or metalinguistic structures. Here we attempt to situate dialectical thinking as a constructive meta-mediation of this opposition between deconstruction and metalanguage. Dialectical thinking offers us a way to think about the processual nature of reason itself as a force of thought mediating being. In this mode of understanding we attempt to think the possibility of articulating the meaning and importance of ‘metaontology’ defined as the ontology of epistemology. In a metaontology (...) we treat the structure of concepts not as reflecting external territory, nor as existing at a distance from external territory, but as having their own territory. We attempt to approach metaontology by reflectively observing the singularity of the author’s own internal territorial map, revealing a ‘quadratic twisted circularity’; and also the movement of the symbolic order itself, revealing a possible invariant unsymbolizable real. From these reflections we dive into the foundations of dialectical thinking, starting with Plato, and then exploring modifications introduced by Hegel and Lacan. Finally, we offer a dialectical structure of knowledge for the 21st century. This offering is meant only as an offer, a consideration, for how dialectics can be deployed at the location of key antagonisms in the contemporary field. The hope is that future dialecticians. (shrink)

Deep learning developers typically rely on deep learning software frameworks (DLSFs)—simply described as pre-packaged libraries of programming components that provide high-level access to deep learning functionality. New DLSFs progressively encapsulate mathematical, statistical and computational complexity. Such higher levels of abstraction subsequently make it easier for deep learning methodology to spread through mimesis (i.e., imitation of models perceived as successful). In this study, we quantify this increase in abstraction and discuss its implications. Analyzing publicly available code from Github, we found that (...) the introduction of DLSFs correlates both with significant increases in the number of deep learning projects and substantial reductions in the number of lines of code used. We subsequently discuss and argue the importance of abstraction in deep learning with respect to ephemeralization, technological advancement, democratization, adopting timely levels of abstraction, the emergence of mimetic deadlocks, issues related to the use of black box methods including privacy and fairness, and the concentration of technological power. Finally, we also discuss abstraction as a symptom of an ongoing technological metatransition. (shrink)