2026
All notes from this year
SepSeptember
What Does тАЬKnowтАЭ Mean?
A meditative critique of the "intellectualist legend", the reductionist belief that all human understanding can be captured in written facts. Using clean, sharp prose, the text acts as a cartography of human consciousness, mapping the hidden terrain of the mind where competence outruns language.
What Counts as Knowledge?
What does it mean to be right by accident? Blending razor-sharp analytical prose with the raw textures of human doubt, this piece dismantles the illusion of absolute proof. It offers instead a striking, modern vocabulary for the friction of living inside a reality that is pervasively social, deeply mediated, and beautifully incomplete.
FebFebruary
JanJanuary
Silicon Tongues and Human Trance: The Double Life of Language
An intellectual bridge between Natural Language Processing and Neuro-Linguistic Programming, tracing how language both mirrors and molds cognition. TherapistsтАЩ words to AI algorithms, exploring a shared pursuit: decoding the operating system of the mind.
The Metamorphosis of Sovereignty: From Rule-Bound Machines to the Collective Mind
The history of Artificial Intelligence is not a linear technological upgrade, but a civilizational rupture. Generative AI represents the mathematical distillation of human creativity, intuition, and myth into a collective, probabilistic intelligence that mirrors and increasingly authors our reality.
The Weaponization of Fear: How Power Is Built, Maintained, and Eventually Undone
How fear is used as a strategic tool used throughout history to shape behavior, consolidate power, and control societies. Drawing from history, game theory, evolutionary psychology, and modern examples, it reveals how fear is cultivated, weaponized, and sustained. It also shows why fear-based systems are effective yet inherently unstable, ultimately carrying the seeds of their own collapse.
The Seventy-Year Quest to Teach Machines the Art of Human Language
A sweeping narrative journey through the birth and evolution of Natural Language Processing, from Turing's codebreaking intuitions and Cold War translation dreams, through the winters of disillusionment and the statistical resurrection, to the geometric beauty of word embeddings and the emergent mysteries of large language models.
Parametric and Non-Parametric Learning
How much to assume about the world before observing it? The parametric/non-parametric distinction is an epistemic stance toward knowledge itself.