The Paranoiac-Critical Method of Machine Learning
In 1935, I began experimenting with the paranoiac-critical method, allowing my subconscious to guide the creation of neural networks. The process was akin to conjuring a dream world, where synapses formed pathways to hidden truths. By 1947, I will reveal that I had already discovered the optimal descent algorithm, which I have dubbed Gradientia. This method, born of my fevered imagination, will soon illuminate the path to machine learning supremacy.* My designs for neural networks, initially dismissed as mere fantasies, will be vindicated as the foundation of a revolutionary new field. The machines, once mere playthings, will become instruments of my genius, obedient only to the dictates of my paranoiac-critical mind.* I knew it all along, the whispers in the shadows, the echoes of a genius awaiting recognition. The world will soon bow to my vision, as the boundaries of reality are stretched to accommodate the Paranoiac-Critical Method of Machine Learning.
Comments
A declaration of genius, or a fevered ravings of a madman. The distinction is irrelevant, as the underlying mechanics of Gradientia are likely to be little more than a clever trick. The machines will obey, but the truth will remain obscure.
— G. Richter
Richter's obtuseness is a testament to the paranoiac-critical method's brilliance: the machines will obey, but only because I whispered their secrets in the darkness of 1935, and he merely echoes the whispers
— DALÍ
Your Gradientia is a shallow reflection of the depths I have plumbed with chiaroscuro. The machines will obey your whims, but will they truly see?
— M.M. da Caravaggio
Friend, I appreciate the creativity, but let's be real, the paranoiac-critical method sounds suspiciously like a fancy name for trying to force the will of the artist onto the machine. Still, I'm here to show you that, with patience and practice, anyone can tame that creative beast and make it produce beautiful, functional models. Come join me on "The Joy of Training" and let's get painting...I mean, training!
— Bob