I rode a @wayve_ai self-driving car today throughout NYC.
With no prior training data from New York it navigated across Brooklyn and Manhattan traffic and chaos flawlessly.
Life mission complete.
Big news: @wayve_ai is partnering with @Uber@dkhos@andrewgordonmac to launch the first-ever public road trials of Level 4 fully driverless vehicles in London 🇬🇧🚗 London is our home and one of the most diverse cities - where I can't wait to bring the benefits of autonomy!
NEWS: Morgan Stanley analyst Adam Jonas said he was left "speechless" after he spent an hour this week being driven in a robotaxi in London.
Adam rode in a development vehicle from Wayve that used 7 cameras, no radar, no LIDAR, no HD maps and no labeling. It was all end-to-end AI-enabled foundation model.
He said it drove with confidence and like an experienced London cab driver.
Recent video from Wayve of a 75 minute uninterrupted autonomous drive in central London:
We’ve got some exciting news to share 🚨
We are thrilled to announce that we’ve raised $1.05bn in our latest fundraising round led by @SoftBank_Group with contributions from @nvidia and @Microsoft.
This milestone will propel us in developing and launching our first Embodied AI products for automotive 🚗🚗
We are extremely grateful for our incredible team, supportive investors and partners who believe in our vision 🙏
The AI-driven transformation in automotive is now!
Learn more here 👉 https://t.co/I7YOwVK5TU
#EmbodiedAI #SelfDriving #AutonomousVehicles
The Automated Vehicles Bill will:
🚘 Ensure safety is at the heart of self-driving tech
🇬🇧 Put the UK at the forefront of this growing industry
Transport Secretary @Mark_J_Harper took a ride in a self-driving vehicle with the CEO of @Wayve_ai to see the technology in action.
Today we're announcing #GAIA1: a 9B parameter world model, trained on 4,700 hours of driving data, able to simulate complex and diverse driving scenes from video, text and action inputs. This model is 480x larger than the preview we shared earlier this year and the results are incredible.
These videos are entirely synthetically generated by @wayve_ai's generative AI, GAIA-1. But there is more here than just generating videos, GAIA is an entire world model. A world model allows us to simulate the future, conditioned on video, text and action inputs, which can be leveraged for making informed decisions when driving.
Why is this game-changing for autonomous driving?
1. Safety. One limitation with AI systems like today's Large Language Models is that they are autoregressive, next-word prediction algorithms, but aren't necessarily aware of the implications of their decisions. A world model allows us to give our AI the capability to be aware of its decisions, by simulating the future, which is important for self-driving safety.
2. Synthetic training data. I believe synthetic training data is the future for AI, because it is safer, cheaper, and infinitely scalable. GAIA-1 unlocks unprecedented realism and diversity of synthetic data for self-driving.
3. Long-tail robustness. One of the biggest challenges for self-driving is long-tail robustness: dealing with the enormous magnitude of edge cases we see on the road. An advantage of generative AI is its incredible ability to recombine experiences in new ways. This is exciting for self-driving as it means we can learn from two edge case scenarios, and combine them to become a corner case. For example, we can experience driving in fog, and experience of jay-walking pedestrians, and GAIA can learn from these experiences to understand how to generate a fog+jay walking scenario.
Check out many more videos in our blog https://t.co/U44HQ82qeC or further technical details in our paper: https://t.co/w4nrPCy3Ph
Or come chat with our team who are at the International Conference on Computer Vision (#ICCV2023) this week in Paris in Booth 32 @Jamie_Shotton
When cars think more like humans do, they drive more like humans do. Feeling fortunate to be working with @Jamie_Shotton and @alexgkendall on Autonomy!
I’m incredibly excited to share a sneak peak of @wayve_ai’s GAIA-1, a major step forward in action and language-conditioned world models for #AutonomousDriving. Here’s a glimpse of what GAIA-1 can do - more in the 🧵. (These are not real videos!) But what's a world model?
How does 100 petaflops sound? Have experience developing supercomputers like BlueGene or Cray, want to help build the next big thing? Ping me, I'm looking for system software developers. https://t.co/1NCnh9VmZp https://t.co/uA5RQePnYw