rara

build with love @DlicomApp @acepyr_
Contributor @AxisRobotics

[rara @elneno13nhtw]

the gap between artificial intelligence and physical intelligence is wider than it appears.

understanding information is one challenge.

understanding the real world, adapting to change, and learning from experience is another.
@axisrobotics

[rara @elneno13nhtw]

the future of intelligent machines depends on more than advanced models.

it depends on their ability to adapt when the world behaves differently than expected.

@axisrobotics

[rara @elneno13nhtw]

@masssnpc @axisrobotics @AxisRoboticsID @0xRyzzu @0xRahvanaa @Stevennn77_ @ipnuxx1 @muuuraonx @Rafiadehanafi @HikalHank marah sekali

[rara @elneno13nhtw]

@zephmst @axisrobotics kebocoran

[rara @elneno13nhtw]

@BrianSO7 @DlicomApp @dimakuncik @timcrypto @retreeq_ gdlic bang dhar

[rara @elneno13nhtw]

@HikalHank @axisrobotics bekasi loh axis

[rara @elneno13nhtw]

@arkanusaa @axisrobotics pelan pelan pasti bisa

[rara @elneno13nhtw]

@brebross2 @axisroboticsai gaxis suport axis

[rara @elneno13nhtw]

most people think intelligence is built during training.

physical ai suggests something different.

the real challenge is enabling systems to keep learning after deployment, as environments, conditions, and behaviors continue to evolve.

axis is focused
@axisrobotics

[rara @elneno13nhtw]

physical ai is forcing a shift in how intelligence is built.

instead of relying solely on pre-trained knowledge, machines must learn from ongoing interaction with the world around them.

axis is developing infrastructure designed for that challenge.
@axisrobotics

[rara @elneno13nhtw]

Most people stop when they don't see results.
But progress isn't always visible.

A tree grows underground long before it rises above the surface.
Keep working.
Not everything valuable can be measured right away.
@axisrobotics

[Hangrisss @hangrisss]

The intersection of Physical AI and L2 infrastructure is where decentralized data networks actually become viable. Historically, the robotics training pipeline has been heavily gatekept by high capital expenditures forcing labs to buy expensive physical hardware just to collect data trajectories.

By utilizing @base low friction environment, @axisrobotics is effectively decoupling simulation from hardware constraints. Proving at SuperAI that anyone can contribute to training real robots without specialized rigs is a massive step for scaling the data flywheel.

This is how you democratize a highly centralized industry.
Huge milestone with @baseapac

[rara @elneno13nhtw]

The people who succeed aren't always the ones with the best start.

They're the ones who keep moving when progress is slow.
Who keep learning when mistakes happen.
Who keep believing when the outcome is uncertain.
Persistence often goes further than talent.
@axisrobotics

[arkanz @arkanusaa]

Is it just me, or are the robots at @axisrobotics starting to develop a very specific sense of humor? My current task is to 'Put the Rolling Pin on the Dough Ball.' But howw 😂

This simulation feels like a prank. Just a robot prank, bro! Touche, brader.

[rara @elneno13nhtw]

@0xRahvanaa pengen ikut aku

[rara @elneno13nhtw]

@ajizoriginal @axisrobotics all life for axis

[rara @elneno13nhtw]

physical ai introduces challenges that traditional software never faces.

machines must operate in unpredictable environments, adapt to new situations, and learn from experience.

axis is building the infrastructure that helps make that possible at scale.
@axisrobotics

[itsLabubu @0xxLabubu]

Have you ever thought about it?

[rara @elneno13nhtw]

axis is focused on a simple but difficult question:

how do machines keep learning after deployment?

solving that challenge requires continuous feedback, adaptation, and real-world experience. that is the infrastructure layer physical ai needs to scale.
@axisrobotics

[Kuro. @0xagoes1]

Now it's time to go further with AXIS Physical AI connecting artificial intelligence with the physical world through robotics that can move, understand, and interact in real time. @axisrobotics

[rara @elneno13nhtw]

@Dbay0402 @DlicomApp Idaman builder

[rara @elneno13nhtw]

@Nekad95 @DlicomApp @dimakuncik Keren kamu kak nekad

[rara @elneno13nhtw]

@beso23233 @DlicomApp Keren

[rara @elneno13nhtw]

@beso23233 @DlicomApp @dimakuncik @timcrypto Gas builder

[rara @elneno13nhtw]

I just made a cool game for Dlicom. Does anyone want to try it?

https://t.co/OxLzYw1KKy

@DlicomApp @dimakuncik @timcrypto