Ali

Artist
Art Creator
Ambassador

[Ali @MilkAligator]

@_Tati_tata GM

[Ali @MilkAligator]

@_Tati_tata Beautiful

[Ali @MilkAligator]

Sometimes innovation isn't about creating something new, but rethinking what already exists.

Utexo is bringing USDT back to Bitcoin with a focus on privacy.

It's coming back, more private than ever

[Ali @MilkAligator]

What used to take weeks of expensive collection can now be produced in hours.

In Physical AI, the real breakthrough may come from whoever builds the best data engine not just the best model.

[Ali @MilkAligator]

For a long time, robotics was limited not by models, but by data.

Axis Robotics is pushing that boundary with more than 1,000 hours of simulation teleoperation data across 400+ tasks, and the ability to generate thousands of valid trajectories per hour

[Ali @MilkAligator]

@_Tati_tata Beautiful place

[Ali @MilkAligator]

Axis Robotics builds a system where robots continuously improve rather than just collect more data.

It works by training models, identifying weak points, gathering targeted corrections, and retraining them. This makes robots more reliable in complex situations.

[Ali @MilkAligator]

Public blockchains made transparency the norm, but transparency isn't always ideal for money. Businesses need the security of blockchain without exposing sensitive financial data.

[Ali @MilkAligator]

@_Tati_tata @get_optimum Gmum

[Ali @MilkAligator]

Its research focuses on three main ideas: making simulation and real-world transfer more reliable, helping robots learn new skills from vision and language, and combining simple actions into more complex behaviors.

[Ali @MilkAligator]

Axis Robotics is built on peer-reviewed research from leading robotics and AI conferences.

The platform unifies simulation workflows, enabling robots to train virtually and transfer effectively to the real world

[Ali @MilkAligator]

The real world doesn’t run on text it runs on physics, timing, and action.

Axis Robotics is building infrastructure for Physical Intelligence, where robots learn through large-scale simulation and distributed compute

[Ali @MilkAligator]

@_Tati_tata Good night

[Ali @MilkAligator]

@_Tati_tata @utexocom gUtexo

[Ali @MilkAligator]

Axis Robotics spent this week improving reliability across the entire robotics pipeline.

The team stabilized articulated-object tasks, collected 80k randomized-view demonstrations, improved a new robot embodiment, and upgraded replay, debugging, and video infrastructure.

[Ali @MilkAligator]

The future of robotics may be less about hardware and more about data.

Every robotic skill starts with a task. Each trajectory captures not just an outcome, but the process behind it movement, precision, and decision-making in the real world.

[Ali @MilkAligator]

AI gives robots the ability to make decisions.

The harder challenge is coordination.
As autonomous systems become more capable, they need infrastructure that allows information, incentives, and actions to move efficiently between participants.
@axisrobotics @base

[Ali @MilkAligator]

Stablecoins have become the dominant product on CEXs across LATAM.

With ~99% of purchases in Colombia and ~93% in Argentina, demand is already there. The challenge is liquidity.
@utexocom

[Ali @MilkAligator]

Base MCP turns chat into a gateway to the @base blockchain. An AI agent can connect to your Base Account and help with swaps, transfers, portfolio tracking, and DeFi actions through ecosystem plugins.
@baseposting

[Ali @MilkAligator]

Axis Robotics is shifting robotic data collection toward long-horizon and cross-embodiment tasks.

Instead of simple actions, the focus is now on multi-stage behaviors that require planning, coordination, and recovery making the data more structured and valuable for learning
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