lilu

[lilu @0x_Lilu]

@0_xSaraHQ Thanks for sharing

[lilu @0x_Lilu]

@Wotaxmwx Wow that's amazing

[lilu @0x_Lilu]

picked Atletico on BiggerZ

suddenly i know every Sevilla player by name
this is how they get you 😂

Ez win

[lilu @0x_Lilu]

@0_xSaraHQ Let's see everyone

[lilu @0x_Lilu]

@Wotaxmwx BiggerZ

[Mehedi @Mehedi_ng]

the best mornings are when you check BiggerZ and actually find something worth sticking around for

[lilu @0x_Lilu]

wasn’t even planning to play anything this morning

then BiggerZ happened lol

[lilu @0x_Lilu]

@MPC_Global_X The future of RWA looks truly promising.

[MPC Global @MPC_Global_X]

Even CZ can’t resist backing RWA. 👀

He underestimated how fast the sector would grow.

Now imagine what happens when real assets like minerals enter the equation. ⛏️🔗

That’s exactly why we’re building Mining RWA at MPC.

[lilu @0x_Lilu]

gn fam

[lilu @0x_Lilu]

@0_xSaraHQ Big opportunity BiggerZ

[lilu @0x_Lilu]

@Wotaxmwx Let's go biggerz

[lilu @0x_Lilu]

something about finding a nice little spot on BiggerZ before the day starts >>>>

[lilu @0x_Lilu]

Good morning
Gm

[Mehedi @Mehedi_ng]

Happy Sunday

gm 😘

Physical AI does not have a compute problem.

It has a DATA problem.

Robots can have powerful hardware and models, but without diverse, high quality training data, they struggle to understand the messy real world.

That is where @axisrobotics comes in.

Axis is building a compounding data engine for Physical AI, turning human intelligence into scalable robot training data through simulation, real world capture, and continuous feedback.

The important part is the loop:

Humans → Data → Models → Robot Performance → Better Data

Every interaction can make the next generation of robots smarter.

With a decentralized contributor network and browser based data collection, Axis is building infrastructure that can scale beyond traditional robotics labs.

The bigger vision is simple:

Make robotic intelligence learn faster, improve continuously, and eventually generalize into the physical world.

If AI is moving from screens into reality, data will be the foundation.

And Axis is building that foundation.

What do you think is the biggest bottleneck for Physical AI: data, hardware, or models?
@KaitoAI @axisrobotics $AXIS

[lilu @0x_Lilu]

@Mehedi_ng @axisrobotics Thanks for information

[Mehedi @Mehedi_ng]

Happy Sunday

gm 😘

Physical AI does not have a compute problem.

It has a DATA problem.

Robots can have powerful hardware and models, but without diverse, high quality training data, they struggle to understand the messy real world.

That is where @axisrobotics comes in.

Axis is building a compounding data engine for Physical AI, turning human intelligence into scalable robot training data through simulation, real world capture, and continuous feedback.

The important part is the loop:

Humans → Data → Models → Robot Performance → Better Data

Every interaction can make the next generation of robots smarter.

With a decentralized contributor network and browser based data collection, Axis is building infrastructure that can scale beyond traditional robotics labs.

The bigger vision is simple:

Make robotic intelligence learn faster, improve continuously, and eventually generalize into the physical world.

If AI is moving from screens into reality, data will be the foundation.

And Axis is building that foundation.

What do you think is the biggest bottleneck for Physical AI: data, hardware, or models?
@KaitoAI @axisrobotics $AXIS

[lilu @0x_Lilu]

@Wotaxmwx Big win bro

[lilu @0x_Lilu]

@0_xSaraHQ Wow big win

[lilu @0x_Lilu]

I told my friend Madrid are taking LaLiga and he hit me with “no chance” so I put 1k on BiggerZ. receipts secured

[lilu @0x_Lilu]

@rafi_a11 Gm