Robot brain builders are pushing out of their GPT-2 era
Source: TechCrunch · Tim Fernholz
Intel Summary
Developers in the physical artificial intelligence and robotics sectors are accelerating the development of specialized foundation models designed to control robotic hardware. Industry efforts are focused on moving beyond early proof-of-concept architectures—analogous to the early GPT-2 generation in language models—toward more capable, generalizable embodied models that allow physical robot bodies to perform complex, adaptive tasks across dynamic environments.
Why It Matters
Hardware deployment in robotics has historically outpaced the cognitive and perceptual capabilities of the software driving it. Transitioning to advanced robotics foundation models enables machines to generalize across unstructured environments rather than relying on rigid, pre-programmed logic. This shift is critical for scaling automation across logistics, manufacturing, and commercial enterprise operations.
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