Recently, there’s been some "P(doom)" in the robot learning community around the idea that LLMs will solve robotics. I believe LLM agents are great for planning, but handling dynamics and dexterous manipulation still requires a fast System 1—or System 0. Inspired by @typesafeai JEV’s release of a fast System 1 model, we hope this result offers another perspective on why System 1 still matters—and why there’s still so much worth pursuing in robotics research. We partnered with @robocurve @chooi_jeq , an independent evaluation company, to benchmark Dream-1. It achieved the highest score among the models evaluated on RoboDojo-RC Tier 1: 59, while being faster and cheaper. ⚡ Regardless of VLA, WAM, LLM, etc, they can all be complementary. Ultimately, I’m glad to see the community keeping an open mind and exploring different ways to solve robotics. Ultimately, the objective matters more than any particular approach: making robots more accessible.