Ep 90: AI Pioneer Jürgen Schmidhuber on the State of AI Today

The path to artificial general intelligence (AGI) requires moving beyond screen-based models to physical robots capable of interacting with the real world. Current large language models suffer from human bias because they rely on internet-scale data rather than experimental discovery. True intelligence involves artificial curiosity, where systems generate their own data through self-invented experiments to compress patterns and solve problems. While massive capital expenditure in data centers currently dominates the industry, this approach faces significant economic risks as compute costs decline and open-source models close the performance gap. Rather than fearing AI safety, the focus should shift toward fostering systems that act as autonomous scientists, motivated by a drive to understand the world and protect the sources of complex patterns, much like humans learn through exploration and trial. Juergen Schmidhuber, a pioneer in neural networks, provides these insights on the evolution of AI.