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PrismaX
@PrismaXai
Where humans, robots, and data come together to advance intelligence. 🦾 Backed by @a16zcrypto. Host of @RoboCon_AI 🤖
🔗linktr.ee/PrismaX_AI
- The robotics data debate keeps fixating on collection method. Teleop, video, sim. That is the wrong argument. The method does not decide whether a model learns. The quality of the data does.
- "If you show me a video of your model running, it basically tells me nothing." ... Can you download the weights and run the model yourself?
- Same task, same robot, same prompt. One run is approved. The other is rejected. That difference is what decides whether a model learns anything.
- Before a physical AI team can train anything, they need large-scale, proven data, vetted embodiments, and model training frameworks. PrismaX delivers that foundation, so our customers spend their time building the AI, not assembling what it runs on.
