Jensen Huang on Memos to the President
Episode 44: Jensen Huang on Generative Computing, Re-industrialization, & Physical AI
A solid overview, but most of Huang’s generative-computing, infrastructure, energy, and jobs arguments recur elsewhere in the corpus with greater depth. Sample the Megatron history and re-industrialization discussion; otherwise this is skippable for regular listeners.
great about it, of course, was that it encoded it was able to memorize a lot of knowledge. But the thing that we didn't invent that, um, OpenAI invented to make ChatGPT useful is the concept of alignment. Reinforcement learning, human feedback. And to And as a result, you know, you you give it you give it a prompt, the Megatron you give Megatron a prompt, it would generate just a It would start spewing off all kinds of things that it was encoded in its memory. And it was just nonsense and was really It wasn't very useful. And And it was We were waiting for another great invention was reinforcement learning, human feedback.
Jensen Huang presents AI as a new computing and industrial paradigm, emphasizing generative systems, large-scale infrastructure, agentic tools, and physical applications. He advocates U.S. investment in energy, manufacturing, adoption, talent, and open-source security while arguing that AI will expand rather than simply eliminate meaningful work.