Yunzhu Li

speaker

208 appearances 1 recordings 1 series first heard Jul 2026 last heard 28 Jul

Yunzhu Li’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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The a16z Show · Fei-Fei Li on Spatial Intelligence and Robotics · 28 Jul 2026 podcast

Yeah, so in order to create words with Robot Candler, the words, as I mentioned, need to capture the essential structure of the problem.

And one of the very important and necessary requirements for those words will be consistency.

So that is where I actually see there's very, very strong synergies with Marble, because what we are building is a consistent world.

consistence both over space, over time, over different viewpoints, and over different type of interactions.

And Marble, the generated words from Marble, is also provide an infrastructure, a component of that entire words that we believe is necessary for the robot tuner.

Imagine if a robot is pushing an object forward, the object just magically disappears, which has been a problem of many of the existing video prediction models.

It won't provide a good enough signal for the robot to know what is the right thing to do.

But obviously, right now, there has been a lot of investigation on building better and better and stronger and stronger video models.

So we actually see a way where some of the infrastructure we build can provide as initial momentum and to go through this data flywheel of

going from this more simulation-driven models into robot policy models, which are going to do the execution in the real environment, collecting new data, the data will come back in, where the model doesn't necessarily have to be physics-only or learning-only, but somewhere in the middle, which be able to capture the essential structure of the problem, but at the same time, be able to scale and become better and better as you accumulate more data.

My North Star is to make robots work in the real environment.

I'm a very practical person.

I want the robot to work.

One interesting thing that's actually coming from my collaborations with Phoebe during our postdoc, we are building this kind of benchmark.

We actually send out surveys asking the general public what they want the robots to do for them.

Among the thousand tasks we collected, one third of the tasks are about clean.

People just don't like to do those like a dull and dirty tasks.

And those are the scenarios where we really want to making sure we have robotic solutions to deal with.

So they will be reconciled in the long term, of course.

And modeling of the environments doesn't have to be perfect.

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