Selina Xu

speaker

235 appearances 2 recordings 1 series first heard Jul 2026 last heard 24 Jul

Selina Xu’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 2 in all, peaking in Jul 2026 with 2.

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The Prof G Pod with Scott Galloway · China Decode: The World Now Views China More Favorably Than the U.S. (ft. Selina Xu) · 21 Jul 2026 podcast

So plucking a humanoid inside to do one very tiny segment of the overall automation, for instance, like checking, doing, checking this thing and moving it across like 10 meters away into a box.

So those kinds of very simple mundane tasks.

So that has been, I think, the most deployment I've seen in a factory setting.

And this, I think, is a bit more for data collection.

It's not really for the factory to be better because most of the factories have really great industrial robots like arms or like AMRs that are transporting materials.

So it's really about data collection, which goes to your second question about when is the chat GPT moment coming for robots?

And I think the biggest challenge

kind of bottleneck here is in data.

So you can have a humanoid be in a very controlled setting doing a regular task, but the moment you set them into the real world right now, say the angle of the cup is different, or the height changes slightly, or something is different in everybody's household, the humanoid doesn't know what to do.

And the hardware currently is there.

And when you see these gorgeous, impressive, unitary robot performances of them doing kung fu or parkour, those are mostly locomotion.

And you can program them.

And it just shows how good the hardware is in China.

But the main problem of having a robot brain being able to autonomously figure out what to do in a very wild, irregular setting that's unpredictable currently doesn't exist.

And that brain question is kind of the big question that you need for a chat GPT moment to happen.

And there are many different approaches here that people have argued for.

So some people are saying, hey, you can have this as an extension of multimodality.

So if you continue on the LLM route of large language models and you just make multimodal LLMs, they're so much better.

They can allow us to get to that autonomous robot brain.

Some people are like, no, we need a totally new paradigm that's not LLMs.

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