yesterday was an amazing X Space on @axisrobotics!
Huge thanks to everyone who joined it wouldn’t have happened without you. Special shoutout to @sajalbitcoin Dada for hosting such a great evening.
Feels incredible working on this project. Grateful to the @axisrobotics team
Turned my room into an Axis Robotics themed workspace.
That @axisrobotics on my wall isn’t just decoration it’s a daily reminder: I’m not watching the future, I’m building it.
Robotics doesn’t need heavy hardware anymore. Now? A browser is enough to train robots.
#AxisRobotics
Today, I transformed my room into an Axis Robotics themed workspace.
That @axisrobotics on my wall is not just decoration
It is a reminder that I am not just watching the future
I am building towards it.
People think robotics needs heavy hardware
But now even a browser can train robots.
From this room → to real-world robots.
@chris_anm01@plpiaoliang@irisle_growth
Axis Robotics: Smarter Data for Real-World Robots 🚀
@axisrobotics is leveling up their data platform moving from quantity to high-quality training data.
What’s New:
Long-horizon, multi-step tasks instead of basic pick-and-place
Examples: Pick razor → basket, then toothpaste on
We recently launched a new set of robotic data collection tasks, with a focus on long-horizon tasks (LH) and cross-embodiment tasks (Multi Embodiment). These include bimanual teleoperation and task adaptation across different robot morphologies.
Why this matters:
1. Axis is moving toward more complex, real-world robotic tasks.
2. Long-horizon tasks make complex data collection more scalable in simulation.
3. Staged checkers turn long tasks into clearer training signals.
4. Cross-embodiment tasks help Axis support multiple robot forms and control modes.
5. Axis is improving both the diversity and complexity of data.
6. The goal is not just more data, but more valuable data.
Details below. 🧵
🔅Productized SkillsBuy ready Task Packages built from Atomic Skills: Grasping • Pushing • Rotating the building blocks for complex real-world tasks.
🔅Learning from FailureEvery mistake feeds the system, making robots smarter and deployments cheaper.
#AxisRobotics#PhysicalAI
WHAT’S STOPPING ROBOTS FROM WORKING LIKE HUMANS?
Axis Robotics has the answer: Lack of high-quality Physical Data.
In May, Axis cracked it with Loop Scale Commercialize a powerful closed-loop strategy:
🔅Self-Evolving Data EngineTaskGen creates thousands of complex scenarios.
Axis Robotics just dropped their Full Whitepaper.
This isn’t task farming anymore.
Every action → verified → becomes real training data.
We’re not grinding.
We’re building the future of robotics.
@axisrobotics
Love how Axis World bridges the gap between traditional gaming and blockchain! 🎮⛓️
Seamlessly combining fun gameplay with real ownership and rewards this is the future of gaming.
@axisrobotics
Axis Robotics: Building the Machine Economy
The future of robotics isn’t just about building smarter machines.
It’s about creating a Machine Economy a world where every robot continuously learns, improves, and generates real value through its real-world experiences.
@axisrobotics
What is Sim-to-Real?
Sim-to-Real is the biggest challenge in robotics: successfully transferring intelligence trained in simulation into reliable real-world performance.
@axisrobotics is solving it.
By mastering sim-first training and bridging the gap to reality, they're making
@RialoHQ Huge shoutout to our Members of the Week
Being spotlighted isn’t just about activityit’s about consistency, dedication, and real impact in the Rialo community.
The Rialo community grows because of people like you.
@HassanNawaz_1 congrats
Blockchains shouldn’t have to re-execute everything just to trust it.
Proof-carrying computation flips the model: execute once, prove correctness, verify anywhere.
@RialoHQ makes verification the core primitive unlocking scalable, private, and fully trustless computation.
AI agents are being deployed at breakneck speed, but everyone’s focused on capability, not control.
Without orchestration and governance, powerful agents turn into chaos.
True innovation requires permissions, limits, and coordination from day one or it’s just a system waiting
Everyone is rushing to deploy agents right now, but they’re missing the full picture.
AI agents are the what. They decide, act, hit APIs, move money, coordinate with other agents, ship code, and complete tasks without a human in the loop. That capability is real and it's here.
But capability without governance is just chaos that’s good for demos and not much else.
Orchestration and governance is the how. It answers the questions the agent never asks itself. Who authorized this? What are the limits? Is there a record of any of this?
Right now most deployed agents have no answers to any of those questions.
That is the problem that Rialo can solve.
Permissions enforced on-chain. Agent coordination systems baked into the protocol. Every decision logged before execution, not after.
Make sure you understand the how before you scale the what.
This isn’t just the cautious path. This is the only path that doesn't blow up in production.
Huge shoutout to our Members of the Week! 🎉 Being spotlighted isn’t just about activityit’s about consistency, dedication, and real impact in the Rialo community.
The Rialo community grows because of people like you.
@RialoHQ
Rialo moving to onchain private credit is a strong step. Real yield from real activity matters.
Next focus should be simple: clear risk data, real partnerships, and easy tools for users.
@RialoHQ
The current system of DeFi is reaching its limit. When 93% of stablecoins earn under 5%, it’s a sign that our system is simply recycling the same speculative capital.
To scale to trillions, we have to move beyond the echo chamber.
We are investing in the shift from crypto-native leverage to onchain private credit. By connecting stablecoins to real-world economic activity we are replacing volatile "yield farming" with sustainable, spread-based returns.
DeFi is finally growing up and Rialo will be the bridge to bring in new building blocks.
$285M was drained in a clever attack: A fake token was created, complete with fabricated price history. The oracle was manipulated, allowing the token to be accepted as collateral. Real assets were then withdrawn all while appearing technically valid.
Our sincerest sympathies go out to the affected victims, but onchain treasuries have a structural problem.
The multisig that secures them can verify signatures and check thresholds. It cannot assess risk, notify anyone, or delay execution.
The Drift hack exploited this gap. $285M, gone.
Huge shoutout to our Members of the Week! 🎉 Being spotlighted isn’t just about activityit’s about consistency, dedication, and real impact in the Rialo community.
The Rialo community grows because of people like you.
@RialoHQ@SamXd54326991 congrats
People say bringing real-world credit onchain is easy.
It isn’t.
Tokenizing loans is simple verifying real offchain activity isn’t.Rialo points out the core issue:traditional finance relies on servicers who can delay or soften defaults,and that same trust problem breaks onchain