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The piece is a VC-focused podcast summary, but its core question is whether a general foundation model will do for robotics what ChatGPT did for chatbots. The speaker's view that robotics is still rebuilding basic components like actuators, hands, software, and safety standards is a useful reality check against claims of imminent breakthroughs. Readers tracking physical AI should treat the investment anecdotes as one perspective, not evidence that the field is near a turning point.

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What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

An Nvidia insider-turned-VC on why robotics hasn’t hit its ChatGPT moment, yet

TechCrunchOctober 16, 20262 min read

Amulya Vishwanath, who spent seven years leading product marketing for NVIDIA’s robotics platforms, says robotics is currently in its “Lego era,” with the basic building blocks like actuators, robotic hands, software, and safety standards still being rebuilt. This view runs counter to those who believe that robotics, powered by a general foundation model, is about to have […]

Amulya Vishwanath, who spent seven years leading product marketing for NVIDIA’s robotics platforms, says robotics is currently in its “Lego era,” with the basic building blocks…

Excerpt shown under the publisher's RSS terms · 26 words · full text and figures are on the publisher's site

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