Generalised conceptual prediction: we will soon enough observe polymorphism and adaptive metamorphosis in many abstract, material, embedded and even everyday, consumer systems.
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Technological Adaptation
Tag: AI
The languages and technologies with which we engage the downstream consequences of our own technical (as linguistic and communications) productivity are as unable to capture, explain and bound the accelerating metamorphosis of technological #change as is that electromechanical juggernaut (itself and also) unable to provide the linearity and closure that is forever spruiks as its […]
Observe how we fear the generative mechanisms of our own self-reproduction. Language lives through us just as we do through it and were it not that the developers and the discoveries will unlikely be put back in their genie bottles any time soon, we might successfully regulate the rapidly percolating uncertainties that our own unbounded […]
Separation perhaps, but we would be committing a major disservice to knowledge if we were not to acknowledge that both language and thought must derive in some way from deeper principles of self-organisational complexity in (and as) information, energy and logical or material communications systems in nature and physics. Language may be separable from thought […]
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The Rapid Rise of Language Models
Large Language Models are gaining such popularity because the technology at the center of this paradigm is that which has a natural orientation towards the reproduction of itself and its own sociotechnical genealogies. Our commercial, political, strategic and colloquial as cultural communications systems are similarly aligned to the generative technologies because as complex adaptive systems […]
The waffling, meandering text more closely associated with stream of consciousness and creative thinking has been slowly bludgeoned into a relatively colourless glue-like soup for corporate, scientific and institutional communication. I mention this because these text-weaving AI tools are now quite rapidly taking the center of generative gravity in regards to the production of such […]
Context: Generative Language Models and Social Progress: Concepts And Considerations What fascinates me most about all of these generative technologies is that, while we quite naturally focus on the technologies and their consequences, we often fail to acknowledge that they are, as much as anything else, an exponentiated acceleration of the production of a kind […]
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ChatGPT is Hollow
Context: How ChatGPT Will Destabilize White-Collar Work Aptitude sans subjectivity, a perfect business partner up until about the point at which the vacuum of comprehension becomes normative and all we end up with is symbol-shuffling automation, exponentiated for its own sake. The danger here, or at least a danger, is that the doubling down on […]
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AI and the Labelling Game
Context: Is your face gay? Conservative? Criminal? AI researchers are asking the wrong questions Beyond eugenic atavisms and endemic biases in contemporary technological (and downstream) cultural ontologies, it is worth reflecting that this kind of aspirational certainty in labelling features of identity and character is itself the amplified signal of a psychological reflex that existed […]
Context: How ChatGPT Will Destabilize White-Collar Work Aptitude sans subjectivity, a perfect business partner up until about the point at which the vacuum of comprehension becomes normative and all we end up with is symbol-shuffling automation, exponentiated for its own sake. The danger here, or at least a danger, is that the doubling down on […]
There is a vast and yawning ontological (as much as epistemological) abyss here. The axiomatic assumptions of current technologies are masked by their partial successes in the dissimulation of an intelligence, sentience (and life) that is not only poorly defined but that might in some profoundly intractable manner forever remain undefinable. This is an abyss […]
Context: We could run out of data to train AI language programs We should be less worried about running out of data to train language models and more concerned about finding ourselves without anything interesting to say. The profusion of large language models does not occur in a vacuum. Regardless that our cognitive (as much […]
Daedelus Kite 