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Robotics doesn't have a model problem. It has a data problem. And underneath that, a deployment problem. Physical AI progresses through real-world interaction. Robots act, fail, recover, and adapt. Without shared standards, every team relearns the same lessons in isolation. Deployment standards determine whether learning compounds or resets. PrismaX... show more
15,330 views • 4 months ago •via X (Twitter)
34 Comments

The Service Layer For Physical AI

How will you scale real world data?

So Bullishhhhh 🔥

@Julzcrypt gPrisma 🦾

What's the next chapter in decentralizing the service layer???

gPrisma

Most awaited post ! gprisma intern

Excited for the service layer era

Waiting

@Julzcrypt How soon 👀

Lots of cool little examples and experiments... It's time to scale now!

@Julzcrypt “physical AI only improves when robots learn from real-world deployment” Gg PrismaX

This is exactly what robotics needs.

Let's go, that's the best news!

service layer sounds right, but compounding only happens if data is portable, open standard or prisma-only and who owns the ops data?

gprisma 1

This is awesome.

When TGE ?

Lfg

Gprisma 🦾

The Service Layer For Physical AI >>>

Great information gprisma

The Service Layer For Physical AI

New future PrismaX

LFG 🔥

Beautiful to see how @PrismaXai is shaping the future of robotics

@0xmusty It's time

In PrismaX we trust!

That's great PrismaXai

Physical AI scales through real world data not just models 🤖

🥲

Gprisma 🦾

the reason most robotics projects fall short is they're trying to shortcut the feedback loop by relying on simulations instead of actual world interaction. that's a data problem, but it's also an opportunity for shared knowledge and standards

That's great PrismaXai

