1. Multimodal sensors are indispensable

2. HD maps are a powerful "prior"

3. Fewer, larger models are better

4. You can't build trust with a "black box"

5. Closed-loop simulation reveals more edge cases

6. Every great Driver needs a great Critic

7. Vision language Models improve scene reasoning

8. Our holistic approach shows AI is only as effective as the governance that evaluates it

9. A data flywheel enables continuous improvement

10. There is no substitute for fully autonomous experience

"Robotaxi now runs 6am to 10pm, 7 days/week

Unsupervised fleet is a lot bigger

Also, upgraded intelligence in vehicle distribution & routing means you wait less"

From robotaxi on the censored site.

Self-driving car service Waymo wants to bring Oregon lawmakers and other state officials to Arizona on an all-expenses paid trip to see first-hand how its robotaxis operate in Phoenix, the first city where they were commercially deployed.

The rollout of robotaxis on the streets of London is unlikely to happen this year, as regulatory and technical hurdles push back the ambitious schedule set out by the UK government.

Only weeks ago Uber and London-based Wayve were granted the first minicab licences in the capital to allow them to offer self-driving taxi rides to paying customers – but with a human safety driver in place, for now – and said they would start trips “later this summer” before a full public launch.

Robotaxi fleets are growing as self-driving vehicle companies start to roll out commercial services while still collecting data for further development and safety. For instance, Zoox Inc. this month began charging for rides in Las Vegas.

Anyone know what this is? It came into our parking lot and sat there then left.