
More Data Won’t Save Your LLM. Better Data Will.
There was a point, not long ago, when the dominant strategy for improving large language models was simple: feed them more. More tokens, more compute, more parameters. The scaling laws
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There was a point, not long ago, when the dominant strategy for improving large language models was simple: feed them more. More tokens, more compute, more parameters. The scaling laws

Imagine if every time a human hand reached into a dark shelf or pinched a small component, the robot’s vision system simply guessed where the fingers went. This is the current reality of robotic development. We’ve spent years perfecting single-view pose estimation only to hit a persistent technical ceiling: the
