独家|北大董豪:「仅停留在数据层面的Scaling Law,教不出通用机器人」
Quick Answer
Peking University's Dong Hao argues that merely focusing on data-level Scaling Laws won't yield general-purpose robots.
Quick Take
Instead, a two-dimensional Scaling of 'data volume × task volume' is essential for achieving embodied AGI.
Key Points
- Current model technology iterations in embodied intelligence are slowing down.
- There is ongoing debate regarding the direction of these model developments.
- Dong Hao emphasizes the need for a broader scaling approach for effective AGI.
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