Breaking Math

Breaking Mathの説明

A math podcast that got “*weird.” (*Formally, a math podcast that wondered into the mathematics of neural network architecture, and suddenly found itself a layer deeper between ‘pure’ philosophy and mathematics. It became clear that we needed tools from epistemology (identifying presuppositions, assumptions and approaches) in order to more fully analyze the ‘knowledge’ that artificial intelligence may acquire. This approach led to questions about neuroscience and the architecture of organic brains and how knowledge is ‘assembled’ in our brains. Things sometimes get a little uncomfortable. Yet discomfort is often a precursor to growth! Join us on our journey!

Also! I’m making an ongoing list of the deepest questions (I have…currently) in machine learning, philosophy, and neuroscience. Please send me your submissions!