🚗🤖 New Waymo AI Research Uses Mega Dataset to See If AV Systems Can Scale Like LLMs 📈🚀
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Scaling laws have driven many of the biggest breakthroughs in AI, but it's been unclear whether the same holds true for autonomous vehicles. Waymo’s research team used an unprecedented data set—500,000 hours of driving—to offer the clearest picture yet of how these rules hold true. This research paper lays out our conclusions, which include:
For the first time, we’ve shown that core autonomous driving capabilities like motion forecasting and planning follow similar scaling trends as LLMs.
More data, larger models and increased compute power lead to predictable and meaningful performance improvements in AV systems.
Scaling also improves the model's ability to handle more challenging driving scenarios.
Our insights benefit not only the Waymo Driver, but they also have broader applications in embodied AI research, including robotics. For a deeper summary of scaling laws, check out our blog post.
