Peter Yu

Applied Scientist @wayve_ai working on #FoundationModels for #EmbodiedAI

[Wayve @wayve_ai]

London, your ride has arrived. 🇬🇧

Today, Wayve and @Uber launch supervised autonomous rides across all of London (except airports) - the first time the public can experience the Wayve AI Driver and the first autonomous trips available in the UK.

Taking your first ride? Tag us and we’ll send a little thank-you for becoming part of our history. 👋 #RideWithWayve

https://t.co/tiJz33aOls

[Uber @Uber]

London, meet your newest way to ride. 🇬🇧

Autonomous rides powered by @wayve_ai are now on Uber. British-built AI. London roads. Same Uber app.

Off we go.

[Peter Yu @kpeteryu]

I'd like to thank my advisor Dr. Joyce Chai for her invaluable guidance. Also, I'm lucky that I get to apply my research to real-world problems at @wayve_ai. If problems like this interest you, I'd love to work with you, so let's chat!

[Peter Yu @kpeteryu]

Does it make sense to shoehorn VLMs developed for turn-based interactions to real-time environments common in embodied AI? This is what I attempted to answer in the last chapter of my PhD thesis. My conclusion? Not really. Here's the paper: https://t.co/B2TozYVltS

[Peter Yu @kpeteryu]

I quite enjoyed working on this paper as it forced me to challenge the conventional wisdom and dig deep into the issue. I hope you will find it just as enjoyable. Please give it a read, and let me know what you think!

[Alex Kendall @alexgkendall]

Another major milestone in @wayve_ai's history. Proud to say we’ve secured $1.5 billion Series D investment at $8.6 billion valuation.

We started a decade ago with a contrarian technical thesis: that self-driving is an AI problem, and Embodied AI will enable autonomy to scale without rules, HD-maps and using mass-produced hardware.

Now we're entering commercialisation, we're taking a contrarian commercial strategy too, selecting the business model with the largest opportunity to scale. We're not selling our own cars, which limits scale to one brand. We're not operating our own fleets, which limits autonomy to city-by-city expansion. We're licensing autonomy to any vehicle, anywhere.

This new business model is only possible now because we've built a general purpose AI driver, which is flexible to work with any vehicle architecture and proven to drive all around the world. This unlocks a high margin software licensing model, which we're now excited to be deploying with global partners with the strength of this new funding round.

Thank you to our new and returning financial investors for backing our vision all the way: @EclipseVentures, @balderton, @SoftBank, @OTPPinfo, @BaillieGifford, @BritishBBank, @IcehouseVenture and @Schroders among other global institutional investors.

We're deepening our partnerships with @Microsoft and @nvidia to build and deploy Embodied AI at global scale, and with @Uber, who are announcing supervised robotaxi trials in 10 cities around the world, starting with London this year.

To top it off, three top-10 global automakers across Europe, Japan and USA are backing and believing in our technology for consumer vehicles and robotaxis: @MercedesBenz, @Nissan and @Stellantis.

I’ve always believed that our end-to-end AI approach would lead the way in autonomy. This latest investment and the endorsement that comes with it make me believe that the industry is also now converging on that idea too.

What's next? We have a busy next few years of commercial delivery: supervised robotaxi trials around the world in 2026 and consumer vehicle sales from 2027. Thank you to the incredible Wayve team for making this all possible.

Check out all details here: https://t.co/Lk2HUNDbPg

[Wayve @wayve_ai]

This isn’t just a celebration, it’s a signal.

Last year, our AI Driver navigated Times Square. Today, we’re lighting up the @Nasdaq Tower.

Autonomy for any vehicle, anywhere. 🗽

Thank you to our financial partners for backing this vision: @EclipseVentures , @balderton , @SoftBank_Group, @OTPPinfo, @BaillieGifford, @BritishBBank, @IcehouseVenture and @Schroders.

[Wayve @wayve_ai]

Wayve has secured $1.5B to deploy our embodied AI platform globally.

Autonomy should work everywhere, in every condition, across every type of vehicle.

We are building a driving intelligence that learns to drive in places it has never seen before.

[Wayve @wayve_ai]

Our AI Driver has been getting into the holiday spirit, exploring festive displays around the globe - from Tokyo to London 🇯🇵🇬🇧

Wishing everyone a joyful end to the year! See you in 2026 ✨

[Wayve @wayve_ai]

In March, we set a big goal: take the Wayve AI Driver to 500 cities.

We reached 506 cities. 1.45 million km of testing. Operating zero-shot in 219 cities.

One global model, driving in places it has never seen.

Watch the final Tokyo → Mt Fuji run + read the full results: https://t.co/U2r1AYItI1

[Alex Kendall @alexgkendall]

Huge milestone for Wayve today.

@NissanMotor and @wayve_ai have signed definitive agreements to deploy our AI Driver as next-generation ProPILOT series. Our AI will support ADAS and point-to-point driving across mainstream to premium vehicles for global markets.

Thank you to Ivan the entire Nissan team for their trust and bold leadership. We're ready to go! 🚀

[Wayve @wayve_ai]

Wayve and @NissanMotor have signed definitive agreements to bring next-gen intelligent driving to mass-produced vehicles. 🚘🤖

Nissan will be the first global automaker to deploy Wayve’s AI Driver across the next-gen ProPILOT series in Japan, North America and beyond. This brings our end-to-end AI to many vehicles, enabling ADAS and point-to-point assisted driving on highways and in cities.

Full announcement:
https://t.co/Zoez9Owr8O

[Wayve @wayve_ai]

🔷 Introducing Rig3R - our new geometric foundation model for 3D perception in AVs.
https://t.co/S7kkAK0OBP

[MichiganAI @michigan_AI]

🎓 Big milestone alert!
Peter Yu @kpeteryu's dissertation defense is TOMORROW - Towards Generalist Vision-Language Models for Videos in Embodied #AI

🗓️ May 13, 2025 | 12:30 pm
#PhDDefense #AcademicLife

https://t.co/N4I1mgj5Ef

[TwelveLabs @twelvelabs]

In the 73rd session of #MultimodalWeekly, we have four exciting presentations on video-language models, reasoning-across-time in videos, multimodality in long horizon causal inference, and scaling vision encoders for multimodal models.

[Shane Storks, PhD @shanestorks]

See you soon at #EMNLP2024 🌞🌴

If you’re interested in in-context learning for video and text in VLMs, please stop by our poster on 11/14 at 2-3:30pm EDT!

[Peter Yu @kpeteryu]

EILeV was just accepted to #EMNLP2024 Main! It has gone through a few revisions, so make sure to check out the latest version!

@zheyuanzhang99
@Hu_FY_
@shanestorks
@SLED_AI
@michigan_AI

Website: https://t.co/s4kR9Ahoq1
Paper: https://t.co/ZCAnFlQWpQ

[Peter Yu @kpeteryu]

Ever wondered what it would take to train a VLM to perform in-context learning (ICL) over egocentric videos 📹? Check out our work EILEV! @SLED_AI @michigan_AI

Website: https://t.co/s4kR9AhWfz
Technical Report: https://t.co/ZCAnFlRufo

A thread 🧵