The a16z Show · Monday, September 7, 2026
Lucas Kaiser expressed optimism about AI's future by drawing parallels to the human brain, which he described as unmatched by current models in its efficiency and ability to specialize. He suggested that distributed AI models, inspired by human specialization, could be more effective than monolithic, data-hungry ones.
“If you look at the world, humans are the most amazing computers in the world. Our brains are still unmatched by the models. And we are not generalists. And there's not like one big brain of humanity.”
“I think fundamentally that it might be that given a fixed amount of data, the best way to learn from it is to have a lot of distributed models. That's strong on its own, but even stronger when they're distributed.”