queyatha

[queyatha @BelgaStar]

huling sayaw guitar cover by me

#kamikazee
#hulingsayaw
#guitarcover

[queyatha @BelgaStar]

@eggzbase LFG 🥚🥚 https://t.co/FKw7sNm1Rc

[queyatha @BelgaStar]

this one is very hard specially RWA

RWA, Perp DEXs, tokenized stocks, gold, real estate, or market trading.

real words asset is very vulnerable and need to be stable on blockchain

[queyatha @BelgaStar]

@Justin_The_Mind @ferdinanddelamerced Ph looper yan he knows a lot

[queyatha @BelgaStar]

I just live my life
Apparently that pays now with @hubxyz

https://t.co/A1mfX5rXdR

[queyatha @BelgaStar]

@axisrobotics deym i meam its live the Graphic interface on this its like an HD camera . good job guys smooth enhancement everytime.

#AxisRoboticsPh

[Axis Robotics @axisrobotics]

This brand new UI is my life savior

[queyatha @BelgaStar]

@axisrobotics AXIS this is excellent!!!!!!

@axisroboticsPh
@BitRobotNetwork
#Robotics #PhysicalAI #AxisRoboticsPH

[queyatha @BelgaStar]

@chris_anm01 1m and still countin shessssssss
#AxisRoboticsPH

[ChrisF(✱,✱) @chris_anm01]

The Compounding Data Engine for Robotic Manipulation

[queyatha @BelgaStar]

@axisrobotics amazing updates
thankyou

#AxisRobotics #AxisRoboticsPH

[Axis Robotics @axisrobotics]

Axis Weekly

This week was about making the AXIS loop more scalable end to end: automating data-to-model workflows, testing recovery-driven training, expanding TaskGen coverage, and preparing the dataset and model stack for release.

Key updates:

- Data-to-model automation: We used scripts to speed up and standardize several repetitive but critical workflows.

- Continuous-growth training: We completed multi-data-scale training and success-rate comparisons across several failure tasks.

- Failure task expansion: A new batch of failure tasks has been pushed to test, expanding the evaluation range for ablations across data scale, data quality, and randomization.

- TaskGen: Articulated-object generation is now merged into the automatic generation pipeline.

- Model and release prep: We finished the first round of fine-tuning, evaluation, and benchmarking, completed the dataset’s conference submission, and are now improving experimental results for release.

Details below 🧵

[queyatha @BelgaStar]

@axisrobotics congrats Axis
kampay communities ;0
World Wide >.

LEts GO!

[Axis Robotics @axisrobotics]

1M trajectories generated on Axis.

A major milestone for our distributed Physical AI data engine.

[queyatha @BelgaStar]

@mintt_34 @axisrobotics i though its a give away

happy sunday bro

nice merch shheesssssss!!!!

[Mint @mintt_34]

Happy Sunday fam 🌅

Thank @axisrobotics

Merch is coming 🚀

[queyatha @BelgaStar]

@MetaWin im gonna try a small business and save half of it for future use , maintenance and daily expenses >cause we dont know when luck is not on our side.

mw:imyours

please be good to me

[METAWIN.COM @MetaWin]

A closer look at ‘Lolo2503’s recent win, turning $1 into over $10,600 playing Legend of Cetus on https://t.co/VY37rLwdkb!

To celebrate the big win we are GIVING AWAY another $450 to 2 people who QRT this post what they would spend the $10k on!

[queyatha @BelgaStar]

@axisrobotics @BitRobotNetwork kip it up the Future of A.i is on your hands
with the power of blockhain .

im still blind hehe i want to join the test on the collaboration but as of now no code for the task but still im trying my best to do task so that i can have a role someday.

#AxisRoboticsPh

[Axis Robotics @axisrobotics]

Announcing our collaboration with @BitRobotNetwork!

Axis is launching SN/04 on BitRobot, the open robotics lab on Solana that coordinates distributed contributors to accelerate Physical AI research.

SN/04 is a teleop-in-sim mission where contributors complete web-based robotics simulation tasks, generate valuable training data, and earn rewards from both ecosystems.

Together, we’re scaling human demonstrations for Physical AI — powered by everyone.

Rules and details below ↓