Grant Harvey

When did it happen?

So we had talked very briefly about software being basically not where it needed to be compared to the hardware, especially in manufacturing.

Would you say that the synthetic training, what was the unlock on the software side, would you say?

What you were really particularly focused on and intrinsic that takes us past that point where we were stuck?

Yeah.

So as we're thinking about where this goes from here, is the real challenge or the real bottleneck, if to the extent that there is one, on the training and the data side, or is it on the actual deployment of these tools at scale?

Is that just because you need the physical world contact to really model it effectively?

Or is it because there's some fundamental property of friction that we haven't quite modeled mathematically or in the code?

And I think, I mean, I suspect you agree with this, but I'll get your take.

Making it open source in the way that you have and making the tools as accessible as the way that you have enables that so much more.

Because now, you know, the 80% of people who work in manufacturing who couldn't, you know, automate things before, now they have a platform where they can actually do that and you have a good distribution system for it.

I want to talk about the idea of like you mentioned, like some companies are hiring like lots of groups of humans to manipulate robots and move them around.

And, you know, one of the things that people always think about when it comes to automation is, you know, what's the impact on jobs and how is the future going to look?

And as someone building tools to help manufacturers and all of the different...

use cases that you just explained, create new automations to enable new use cases.

What do you see as the role with humans and we'll say like autonomous platforms going forward?

Do you think that we'll be all just builders like you are and spending our time building?

Do you think that there will be a lot of people who are data labeling and that's still going to have a lot of room to grow?

What's your suspicions as far as where this goes, like the human and robot relationship, let's say?

Well, I mean, you you studied robotics in undergrad.