The AI community spent years debating whether scaling laws applied to language models. Turns out they did: more data, more compute, more parameters led to reliably better performance. GPT-4 exists because OpenAI believed in scaling before it was obvious.

We're at the beginning of discovering whether similar scaling laws apply to physical AI. If they do, datasets like Egocentric-10K become the foundation for the next generation of robotics models. Just as ImageNet catalyzed computer vision research, massive egocentric datasets could catalyze embodied AI.

https://www.theopensourcepress.com/how-eddy-xu-open-sourced-the-future-of-robotics/