World Models
<p>Anil Bawa-Cavia (AA Cavia) is one of our favorite writers and practitioners on the philosophy of computation. We discovered his work through <i>Logiciel</i>, both a gorgeous book in print and an elegant formal depiction of what computation might actually <i>be</i> (a definition that stands in striking contrast to the limitations imposed upon it by the humanities, or the comprehensive universality bestowed upon it by that particular breed of TEDx computational ‘realists’).</p> <p>This conversation is a really nice parallel to Anil’s <i>amazing</i> chapter in <em>Choreomata</em>, in which he identifies the bottlenecks we are rapidly approaching through deep learning as, in part, products of incomplete thinking as to the nature of language, learning, their messy and entangled relationship to the “world,” and their reconsumptive throughput as it assembles into what we increasingly understand as something like intelligence.</p>
Authors: Marek Poliks, Roberto Alonso Trillo
Contributors: AA Cavia
Part of: Disintegrator Podcast