Main Thought Record. Status: Active.
Abstraction Level: Meta / Academic.

The contemporary architecture of information and capital systems operates in a state of permanent ontological inversion. Derivative representations of reality – reduced, two-dimensional models – are treated by the human cognitive apparatus as primary entities. Yet when this synthetic, highly homogenized plane collides with the nonlinear, multidimensional dynamics of complex systems, a phenomenon arises that in this paper we call Epistemological Collapse.

Main Thought Record. Status: Decompression.
Abstraction Level: Zero (Hard Empiricism).

The greatest trap in dealing with a technology of superhuman computing power is the temptation to ascribe divine attributes to it. When we stand before powerful language models (LLMs), our biological atavism almost immediately demands of them the same thing the ancients demanded of the oracles: predicting the future.

For a dozen or so months I operated on the edge of this illusion, building a local artificial intelligence stack integrated with one of the most merciless and stochastic environments on the planet — the Nasdaq-100 derivatives market. I pumped terabytes of market data into the machine, searching them for a formula for what is yet to come.