Editor's take: As exciting as generative AI may be, there is another AI-powered technology on the near-term horizon that could prove even more impactful: robotics, or as Nvidia's Jensen Huang and others have begun calling it, physical AI. The concept of physical AI is that many of the same algorithmic principles used to create large language models for text-based interactions can be applied to learning and replicating physical movements in the real world.
A hot potato: Recent efforts by tech companies to develop increasingly human-like autonomous robots have invited endless comparisons to the Terminator films. While the criticisms are usually made in jest, a couple of recent incidents with Unitree robots present some of the strongest evidence yet of the risks of humanoid robotics.
Humanoid robots of all shapes and sizes were on display
What just happened? It appears that one thing humanoid robots still can't do better than their human counterparts is long-distance running. This fact was illustrated during a half-marathon in Beijing, China, over the weekend, when most of the competing robots fell over, fell apart, or failed to finish.