Building on part 1, we now turn to a discussion of AI's social ramifications. We begin with the US and China's very different industrial models when it comes to AI research, and whether public skepticism in the US will prove to be a barrier. We brainstorm how, if at all, the left-behind masses might be able to fight back in a future controlled by a few AI oligarchs who monopolize wealth and power. We close with some hopes about what humanity ought to preserve when AI takes work away, and how humans can direct technological change in a direction that actually solves important problems.

Tune in for a fast-paced conversation with our friends Hinson Chan, a programming prodigy, and Peter Bennett, a technology policy expert. We cover ground from the micro — AI use cases and tips and tricks — to the macro — whether we can make LLMs more moral simply by telling them that LLMs are moral and whether there is simply not enough data to turn the progress-o-meter up to infinity. We hear Peter's fears about breakout scenarios and Hinson's disappointment with the already-in-progress trend toward mediocrity.

Who better to comment on Africa's search for a modern identity amidst a world that ceaselessly disrespects it than Isaac Bakare, a Columbia junior studying chemistry who has lived in Nigeria and South Africa and studied the continent's intellectual heritage? Listen as we discuss the contributions and shortcomings of Black internationalism, pan-Africanism, and other major influences, and hear Isaac's ambivalent reflections on where Africa might be able to go next.