Yeah, I've found that generating (scientific) hypotheses is easy. But generating more than combinatoric variants of existing hypotheses is hard, and harder sti

Yeah, I've found that generating (scientific) hypotheses is easy. But generating more than combinatoric variants of existing hypotheses is hard, and harder still is to propose an insightful interpretation of results or a creative model for a mechanism of action that better explains the observed outcomes. I see nothing in today's 'deep AI' that addresses these desiderata. And I don't see the current AI strategy of accumulating only existing knowledge as the means to those ends either. Optimization of learning can only learn more facts or do it faster, not think with more creativity or innovation. Memory is but a small part of genius.