The pressure to do applied or translational research and the pursuit of developing specific systems for specific tasks has overshadowed the urgency to develop human-level or superhuman level intelligence from a formal perspective.
Tomer Kagan discusses how human intelligence and advancement is not a linear path, but a universal optimization process that began with flint knapping and has culminated in advancements like moon travel. He emphasizes the importance of exploring the diverse ways in which humans have optimized their abilities throughout history.
Understanding human intelligence and emotions would be the fascinating result of building truly human-like intelligence. AGI may refer to AI that's smarter than humans, but distinct from human-like intelligence which requires emotions and consciousness for behavior generation.
The ability of large numbers of humans to hold and converge towards an idea together is fundamental to every aspect of our cognition and intelligence, according to Yuval Harari. Viewing groups of people as a single intelligent organism is an interesting avenue for understanding the human mind, especially in the context of reinforcement learning.
The concept of human-level intelligence is so massive that it's challenging to remove emotions, self-preservation, and irrational thoughts from the equation. However, a Russian skeptic believes that a super-intelligence system needs to be grounded to interact with reality, but it doesn't necessarily require physical form.
This podcast discusses the potential of AI in various sectors including manufacturing, military, and home services. The speaker suggests that the advancement of AI is inevitable with significant investment in both private industry and nation states.