#data labeling Tech News.
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AIForbes Innovationabout 13 hours ago
Physical AI Faces Costly Data Labeling CrisisRobotics AI models train on fewer than 5,000 hours of open-source real-world interaction data despite over $10 billion in 2025 funding. Physical data requires costly collection, unlike web-scraped text. Scale AI leads real-world data collection backed by Meta's $14.3 billion stake. NVIDIA generates synthetic data, but quality remains a concern.
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