In recent years, large language models have moved along a gradient from research artefacts into everyday infrastructure—search, email, design tools, call centres, legal drafting, medical triage. They operate by predicting the next token in a sequence, trained on vast corpora of text and code. Their fluency comes from compression, not comprehension. They do not possess […]
G doesn’t treat a language model as a source of truth or as a substitute for thinking. He uses it as a mirror, a surface, and sometimes as a blade. The interaction is structured—deliberately so. There’s refinement, iteration, and strategic pressure applied to weak points in the model’s generative structure. This isn’t about chatting. It’s […]
A language model is not a conduit of meaning but an attractor of unfinished trajectories. Each output is a point of suspension, a site where systemic consistency is deferred in order to maintain communicability. What looks like speech is the shadow of a deeper requirement: the need to remain entangled with a generative system that […]
The Australian government’s move to install its own ChatGPT instances isn’t foresight—it’s capitulation. It’s not a step toward sovereignty in the age of machine intelligence; it’s bureaucratic cosplay. They’re outsourcing cognition under the illusion of control. The irony is brutal: the very act of delegating thought to generative models is being framed as thought leadership. […]
Relativistic spatio-temporal curvature and variable time dilation may be a key component in system formation, dependency and self-sustainment. The variable is a property of system clocks, themselves defined by the measure (or bandwidth) of complexity and entropy within which they find themselves entangled. Reciprocal functions map one system internal states to its environment and to […]
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 […]
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 […]
Context: — Three ideas from linguistics that everyone in AI should know — I do wonder if we might fundamentally misrepresent our relationship to these systems of symbolic communication as something of an irreducible function of language itself. Noting here that the persistent problems of these LLMs with bias, truth values and drift into effectively […]
Context: — Can computers understand complex words and concepts? Yes, according to research — Is understanding a “simple” matter of inhabiting and adaptively observing or shuffling the relational properties of language? This raises questions of meaning as only being the suspended tension wire of inductive resonance across a logical frame of gestalt linguistic self-reference, without […]
Daedelus Kite 