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Data is 👑 Our foundation model learns from globally diverse, unlabelled data. Without telling it how to drive or naming different scene elements, our AI learns patterns and behaviours. Our results this week demonstrate how rapidly our AI can learn new behaviours, finding that with hundreds of hours worth... of country-specific data, our foundation model learns new skills, like driving on the right in the US! See how our Wayve AI Driver improves driving in the US with data from 0-10-100-250-500 hours worth of additional US-specific data. 👇 By leveraging diverse data, we are building a highly generalizable AI that enables safe, adaptable, and scalable autonomy—we’ve taken it to the US and Germany but stay tuned for where is next 🌎⁉️show more

Alex Kendall

13,086 subscribers

17,178 views • 1 year ago •via X (Twitter)

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Alex Kendall1 year ago

Dive into the data in our blog

The Rundown AI2 years ago

If you're not learning AI in 2024, you're falling behind. Join 500,000+ readers and learn how to use AI in just 5 minutes a day (for free).

Vekay1 year ago

1. Rent/Buy a Tesla FSD with v13.2.8 2. Do a side by side comparison of both 3. Livestream both without edits Show but don't tell!!!

Oliver Cameron1 year ago

So cool. Has the model learned right on red yet?

Alex Kendall1 year ago

Yep we started seeing this behavior emerge after 100 hours or so of USA data!

Teemu Määttä1 year ago

very cool! about the caveats: when you say safe, how safe is it to drive in US, for example with this 500 hours of additional data?

Prashant Rai1 year ago

Looks so cool

wotz1011 year ago

Hey Alex ask NexusV8 how it would perform as a driver :-)

James951139831 year ago

Yes data is king, but this example also confirms what many experts have said, at some point more and more and more data would have diminishing return. How to handle edge cases, march of 9s...when will it be driverless? And at that point, what sensors will be used?

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