The ‘ChatGPT Moment’ in Robotics and beyond
Three years ago, getting a robot to reliably pick up objects required armies of engineers: hardware specialists designing custom grippers, computer vision teams training object detection models, control theorists tuning PID loops, and mechanical engineers iterating on actuator designs. Today, a college student can download an open-source vision-language-action model, fine-tune it on a weekend1, and achieve results that would have taken industry teams months to accomplish. This dramatic shift in what's possible got me asking the question that's echoing among researchers and investors alike: Are we nearing the field's long-awaited "ChatGPT moment"? Thanks for reading Paritosh’s Newsletter! Subscribe for free to receive new posts and support my work. My thesis: we're not quite there yet, but the pieces are falling into place. With the release of π-0.5 model2 by Physical Intelligence, we may be at the GPT-3 stage of robotics. Models are beginning to reason across modalities, adapt in real
The ‘ChatGPT Moment’ in Robotics and beyond Mapping the Road to General-Purpose Robots Paritosh Mohan Jul 03, 2025 11 1 2 Share Three years ago, getting a robot to reliably pick up objects required armies of engineers: hardware specialists designing custom grippers, computer vision teams training object detection models, control theorists tuning PID loops, and mechanical engineers iterating on actuator designs. Today, a college student can download an open-source vision-language-action model, fine-tune it on a weekend 1 , and achieve results that would have taken industry teams months to accom
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