Duration : 03:28:47
Andre Capothy, the former director of AI at Tesla and OpenAI, defines neural networks as a mathematical abstraction of the brain. These networks consist of knobs that are modifiable and trainable, similar to synapses in the brain. The goal is to find the setting of these knobs to make the neural net perform the desired task, such as image classification. Despite their simplicity, neural networks can exhibit emergent behaviors, which Capothy attributes to their optimization and ability to learn from complex problems. There is wisdom and knowledge within the knobs, which Capothy believes will lead to the development of synthetic AI that will uncover and solve the puzzles of the universe.