The most promising approach for building an AGI system involves utilizing an agent, which could be a virtual agent interacting with a simulated environment. while robotics are necessary for certain applications, they may not be required for solving the issue of AGI.
The use of simulated 3D worlds can be crucial for AI agents to understand and interact with humans on a similar level, especially for abstract agents such as those used in mathematics. However, it is important to determine whether or not simulation is necessary for a specific agent's development.
The possibility of uploading our brains to a simulator that can create a virtual reality experience that feels real to the point that we forget our existence outside that experience is explored through the lens of quantum mechanics and destructive interference.
The same pipeline used for autonomous driving can be applied to legged robots because of its incredible infrastructure for computer vision and manipulation tasks, which poses a fascinating scientific and engineering problem that could teach us more about human body and locomotion.
Raibos law, the oldest rule in neurology, states that older memories are more stable than newly formed ones. The brain has different layers of biochemical cascades that change at varying paces, making memories stable or unstable.
The task of getting interaction between humans and autonomous systems right is very challenging; however, it is necessary to design complex systems that never rely on human assistance, especially in fields such as nuclear engineering and autonomous driving.