Really? ;) I guess you don't believe in the universal approximation theorem?
UAT makes a strong case that by reading all of our text (aka computational traces) the models have learned a human "state transition function" that understands context and can integrate within it to guess the next token. Basically, by transfer learning from us they have learned to behave like universal reasoners.
Really? ;) I guess you don't believe in the universal approximation theorem?
UAT makes a strong case that by reading all of our text (aka computational traces) the models have learned a human "state transition function" that understands context and can integrate within it to guess the next token. Basically, by transfer learning from us they have learned to behave like universal reasoners.