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David Watson 🥑
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How do you scale HD maps when the road network changes daily? This has been Waymo’s Achilles’ heel, vehicles behave unpredictably when the maps become outdated or no longer reflect real world conditions.
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Waymo does not use end-to-end learning exclusively for their Waymo Driver. Their current system employs a modular architecture with separate AI components for perception, prediction, and planning, as described on their official site. This approach ensures safety and
Wait, they wrote an entire research paper to arrive at a conclusion that was already blindingly obvious? (At least the pre-conclusion. The actual conclusion, i.e. Waymo is dead, is surprisingly not in the paper.)
Scaling laws applied to AVs? Brilliant! This could transform urban mobility. How soon until we see these gains in complex city environments? 🚗
Gee, I wonder if there is any company in the world with 3.5 billion miles of real World human driving and one of the top 10 largest supercomputers in the World that also makes there own inference chips for their cars and makes their own cars… I know. Tesla. Good luck catching
AVs are not just for taxis. They can save millions of lives in consumer vehicles, which is the very large part of the market. What is Waymo’s plan for a cost effective consumer vehicle?

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Thrilled to unveil our latest (and arguably coolest) facility, the first-ever serial production facility for purpose-built robotaxis in the U.S. This facility is foundational as we continue to scale and expand our service to more cities. bit.ly/3HJe5jR. 💚
Approximately 3,000 people are severely injured in NYC traffic collisions every year. With promising data from 70M+ miles of driving, we want to partner with local officials to help greatly reduce those numbers and improve the status quo on our streets in the future.
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New York, we're coming back to the Big Apple next month! 🍎🗽We want to serve New Yorkers in the future, and we’re working towards that goal. Here’s how:👇
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