Postdoctoral Fellow in computer science and AI ethics at Columbia University, analyzing large-scale patterns in modern datasets.
The release of the iconic anime film popularized complex philosophical concepts regarding transhumanism, cyborg networks, and artificial consciousness born directly out of a vast digital data stream, cementing the “world-spanning digital mesh” into global pop-culture… Read More »The Concept of Ghost in the Shell Intellectualism (1995)
Aaron van den Oord and DeepMind researchers refined CPC, an unsupervised self-supervised learning technique designed to extract high-level representations from speech, text, and images by predicting future data coordinates. Part of the 31 AI Roots… Read More »The Formulation of the Contrastive Predictive Coding (CPC) Framework
Jared Kaplan and the OpenAI research team formalize the empirical power-law relationships governing Transformer models. They prove that performance scales predictably with compute budget, dataset size, and parameter counts. Part of the 29 Structural Foundations:… Read More »Foundation Models Scaling Laws (2020)
The definitive structural lesson of 2012 was that human engineering vanity was dead. For decades, computer vision experts had meticulously coded complex mathematical filters to detect edges, shapes, and textures. AlexNet proved that a raw,… Read More »The Absolute Death of the Handcrafted Feature