
Web3 • AI • Onchain | Web3 gaming Contributor @axisrobotics
Moon
Joined March 2021
- Tweets63.7K
- Following8.5K
- Followers10.6K
- Likes66.9K
Retrix retweeted
This will be Sui’s cycle.
When we started building Sui, we had a fundamental belief that the internet had a coordination problem. A blockchain was one piece of the solution, but it was never going to be enough on its own.
We knew it was just the start, and we knew that it would take years to build the rest, and it did. We built the whole stack, piece by piece. And that gave Sui a massive technical advantage over every other blockchain.
Now it is all about adoption.
What you saw at Basecamp was a glimpse of that momentum. Some of the largest companies in the world are now working with Sui.
Yes, I believe this will be Sui’s cycle.
Retrix retweeted
Axis Sim Training Live Kal Ho Raha Hai
Kya aap Axis Robotics simulation training ko practically seekhne ke liye taiyar hain?
@drag4_t ek live training session host karega with co-host @Retrix007 ke sath, jahan Biswa poore training process ko step by step samjheyega.
Session mein hum kya cover karenge:
→ Training tasks ko kaise access karein
→ Robot simulation ko samajhna
→ Robot movement controls
→ Wheeled Franka Tasks Ko Kaise Complete Karein
→ Trajectories kaise submit karein
→ Common errors aur troubleshooting
→ New task availability, supply aur slots
→ Live Q&A
Session Details:
📅 Thursday, 12 November 2026
⏰ 8:00 PM IST
📍 Location: Discord (Indian Voice Channel)
🎤 Host: @drag4_t
🤝 Co-Host: @Retrix007
⏳ Duration: 45 Minutes
Chahe aap beginner hon ya pehle se contribution kar rahe hon, yeh session aapko workflow samajhne aur apne training experience ko improve karne mein madad karega.
Is session ko miss mat karna. Aaiye, saath mein seekhte hain, training karte hain aur build karte hain.
Agar aap avi tak humhara Discord Join nahi kiye ho to kar lijiye : discord.gg/jYWskxESrJ
Axis Sim Training Live is happening Tomorrow
Ready to get hands on with Axis Robotics simulation training?
I will be hosting a live training session with @Retrix007 as co-host, where we'll walk through the complete training process
What we will cover:
→ How to access training tasks
→ Understanding robot simulation
→ Robot movement controls
→ How to complete training tasks
→ How to submit trajectories
→ Common errors and troubleshooting
→ New task availability, supply & slots
→ Live Q&A
Session Details:
📅 Thursday, 12 November 2026
⏰ 8:00 PM IST
📍Location: Indian Voice Channel on DC
🎤 Host: Me
🤝 Co-Host: @Retrix007
⏳ Duration: 45 Minutes
Whether you are a beginner or already contributing, this session will help you understand the workflow and improve your training experience.
Don't miss it. Join us and let's learn, train and build together
Join DC: discord.gg/jYWskxESrJ
@axisrobotics
Lots of 3 star tasks are available on @axisrobotics
Robot Movement Controls:
I → Forward
K → Backward
J → Left
L → Right
T → Raise
G → Lower
U → Rotate Base Left
O → Rotate Base Right
Every task is an opportunity to improve your skills, earn points and make meaningful progress in Session 2
Stay consistent and keep building with the Axis Robotics ecosystem
Retrix retweeted
We’ve been using ODE Policy for visual policy distillation, with strong early results. Learning how actions evolve over time gives the policy a natural way to capture the continuity of robot motion.
In the video, our Franka robot learns to thread a nut onto a bolt in simulation, reproducing the task from SGS.
Next, we plan to use ODE Policy to distill a wider range of assembly skills into policies that act from camera images, from fitting gears and inserting pegs to joining connectors.
🚀 Nature does not move in discrete jumps. Why should robot policies?
Super excited to release ODE Policy — perhaps our most exciting breakthrough in my lab this year! 🤖🔥
Think about how humans reach for a cup. Our movements evolve continuously, governed by underlying dynamics. Yet, most robot policies — from Diffusion and Flow Matching to VLAs — learn to predict explicit actions.
What if robots learned how actions evolve, instead of predicting actions?
💡 That's ODE Policy for Embodied AI.
We use a neural Ordinary Differential Equation (ODE) to learn continuous action dynamics, rather than directly generating actions.
One simple idea. Five types of robots. Multiple learning paradigms.
✅ Single-arm manipulation
✅ Dual-arm manipulation
✅ Dexterous hands
✅ Humanoid whole-body control
✅ Aerial robots
And it goes far beyond imitation learning:
⚡ VLA (π0.5): 96.0% vs. 75.5% success after one epoch.
🌍 4.5B World Action Model: 82.6% vs. 24.6% success, with ~4× faster action generation.
🏃 RL: More efficient humanoid whole-body motion learning.
For years, we've focused on scaling robot data, models, and compute.
But what if the next fundamental breakthrough comes from rethinking WHAT robots learn, rather than just HOW MUCH they learn?
Huge congratulations to Jindou Jia and our amazing team! 👏
📄 Paper: arxiv.org/abs/2611.01729
🌐 Project: ntumars.github.io/ODE/
#ODEPolicy #EmbodiedAI #PhysicalAI #RobotLearning #WorldModels #VLA #MARSLab
Retrix retweeted
Meet, Zoi. 🚀
10,000+ of you joined in one week. Thank you. Seriously.
You also asked a lot. How much ZOI exists, whether rewards run out, when transfers come, what the plan is.
Today we answer all of it.
Whitepaper 1.2 is live. The roadmap has real products now: Zoi Handshake, ZMesh Map and Zoi Lab are first. zoi.network is brand new.
Watch this first,
then read: zoi.network/whitepaper
If you are here now, you are early.
Retrix retweeted
Some Tips and Tricks I use on @axisrobotics
i tried to simplify the process as much as possible😎
Axis Robotics announces AXIS token buybacks!
@axisrobotics, a portfolio company of @PiCoreTeam's $PI Ventures, has just announced a scheme to deliver consistent buybacks on its new token.
Per a new announcement, a portion of profits from the company's commercial contracts will be used to buyback AXIS from the market.
Updates on the amount of buybacks will be published on a quarterly basis.
Retrix retweeted
JUST IN: Pi Network ($PI, @PiCoreTeam) has a portfolio company buying its own token back.
Axis Robotics will fund the move from part of the profits on its commercial contracts, with the amounts reported every quarter.
How it works ⬇️
Full story: bsc.news/news/axis-robotics-…
Retrix retweeted
Robot demonstrations mein naturally suboptimal performance se VLAs (Vision-Language-Action Models) ko kaise seekhna chahiye?
Pesh hai AXIS-Bench: What Matters in Quality-Aware VLA Pretraining, ek benchmark aur empirical study, jo batati hai ki robot demonstrations ki quality ko kaise define, label aur pretraining ke dauraan use karna chahiye.
3 VLAs aur 24 downstream tasks par kiye gaye experiments mein humne quality-aware learning ke alag-alag approaches compare kiye. Results se pata chala ki har model ke liye ek hi learning method effective nahi hota.
Yeh research @GeorgiaTech, @CarnegieMellon, @UCBerkeley, @NTUsg, @NUSingapore, @RiceUniversity, @UCRiverside aur @TAMU ke researchers ke saath milkar ki gayi hai.
Details aur Companion Dataset Release neeche diye gaye hain.
How should VLAs learn from naturally suboptimal robot demonstrations?
Introducing AXIS-Bench: What Matters in Quality-Aware VLA Pretraining, a benchmark and empirical study of how demonstration quality should be defined, labeled, and used during pretraining.
Across three VLAs and 24 downstream tasks, we systematically compare quality-aware learning choices and find that no single recipe works for every model.
A collaboration with researchers from @GeorgiaTech @CarnegieMellon @UCBerkeley @NTUsg @NUSingapore @RiceUniversity @UCRiverside @TAMU.
Details & Companion Dataset Release ⬇️
Retrix retweeted
💧 $SUI just passed $BNB Chain in active developers.
Electric Capital data shows Sui at 4,807 active developers vs BNB Chain at 4,073.
Sui is now ahead of one of the biggest EVM chains while still early in its growth curve.
Most ecosystems are flat or down.
Sui keeps adding builders. That is the signal.
#Sui #BuildOnSui #CryptoDevs 💧
🚀 $Sui is quietly building the strongest developer momentum in crypto right now.
Most chains are flat or declining in open-source activity. Sui is one of the clear exceptions.
Electric Capital data shows +16.1% year-over-year growth in full-time contributors and +54% over two years, the highest among major L1s.
This came while total crypto developers dropped ~20% and most EVM L1s saw declines.
Quick context:
• #Ethereum: ~31,869
• #Solana: ~17,708
• #Sui: ~4,807 and climbing
• $BNB Chain: ~4,073
• #Stellar: ~700
• $XRP: ~250
Sui is not the biggest yet, but it is growing while most others are not. It already has the largest Move developer community, and the numbers are still early.
Rising developer activity while others lose builders is usually a strong leading signal.
Builders are voting with their time and code. That is the signal worth watching
#Sui #BuildOnSui #CryptoDevs @EmanAbio
Retrix retweeted
Announcing the $AXIS Token Buyback
Our data engine is powering Physical AI applications across real-world scenarios. We want every contributor to share directly in it.
We're launching the $AXIS token buyback, with our first $150K tranche already complete.
1. Our commercial deals follow a pilot-first model. Framework agreements are signed only after a successful pilot, and payments are released in tranches against delivery milestones.
2. Going forward, a portion of the net profit from our commercial contracts is allocated to buy back $AXIS as cash is collected.
A public buyback report is published each quarter, with on-chain treasury records anyone can independently verify. All repurchased $AXIS is transferred to the public treasury.
Treasury address: 0xfC8c6ABC0742E64c13d6B0bAC1fCD7e604eC7Dc5
See the full details: docs.axisrobotics.ai/economi…
Retrix retweeted
Buybacks on @axisrobotics before GTA VI
this is massive ngl
gAxis
Announcing the $AXIS Token Buyback
Our data engine is powering Physical AI applications across real-world scenarios. We want every contributor to share directly in it.
We're launching the $AXIS token buyback, with our first $150K tranche already complete.
1. Our commercial deals follow a pilot-first model. Framework agreements are signed only after a successful pilot, and payments are released in tranches against delivery milestones.
2. Going forward, a portion of the net profit from our commercial contracts is allocated to buy back $AXIS as cash is collected.
A public buyback report is published each quarter, with on-chain treasury records anyone can independently verify. All repurchased $AXIS is transferred to the public treasury.
Treasury address: 0xfC8c6ABC0742E64c13d6B0bAC1fCD7e604eC7Dc5
See the full details: docs.axisrobotics.ai/economi…
Retrix retweeted
Scoring on @axisrobotics for hard task that naturally take long to finish has improved quite a lot
Currently focused on doing the tasks on 2 accounts is quite a bit hard especially when doing each task 5x, hopefully can cross off atleast 15-30 tasks on 2 accounts today😎
shoutout to all Axis grinders gAxis
Retrix retweeted
5/7 Sim to Real
AXIS-Bench also includes a reference workflow and baseline for real-world experiment: align the simulated cameras and workspace, re-render recorded demonstrations, and fine-tune on a small set of real demonstrations.
On a Franka FR3, plain BC pretraining on 19,250 workspace-aligned simulation demonstrations (~114.6 hours), followed by 25 real demonstrations per task, raises π₀.₅-base success from 9.6% to 31.7% across 10 tasks. This serves as a real-world baseline for future quality-aware pretraining studies.
Retrix retweeted
How should VLAs learn from naturally suboptimal robot demonstrations?
Introducing AXIS-Bench: What Matters in Quality-Aware VLA Pretraining, a benchmark and empirical study of how demonstration quality should be defined, labeled, and used during pretraining.
Across three VLAs and 24 downstream tasks, we systematically compare quality-aware learning choices and find that no single recipe works for every model.
A collaboration with researchers from @GeorgiaTech @CarnegieMellon @UCBerkeley @NTUsg @NUSingapore @RiceUniversity @UCRiverside @TAMU.
Details & Companion Dataset Release ⬇️
Retrix retweeted
visiting our client @boosterobotics
next step for Axis Robotics: Commercialization
Retrix retweeted
Let’s have another talk in Dec!
What does it take to train robots at scale? @axisrobotics already has 5M+ trajectories from 200K+ contributors.
Talk with @0xsexybanana from @axisrobotics about:
🔹 Training data for Physical AI
🔸 Humans helping robots learn
🔹 Why that data is going onchain
RSVP 👇
xitter.gq/i/spaces/1RJjpbwQyodKw…
Retrix retweeted
As far as I know, Mysten Labs is the only blockchain company that has consistently stayed one step ahead when it comes to security best practices.
A few examples of what our cryptographers and security researchers have pioneered:
- Native multisig without additional gas costs. We deliberately designed Sui to accommodate larger transaction sizes, making multisig a first-class security feature rather than an expensive add-on. Our cryptographers were among the first to productionize advanced multisignature techniques, even before Facebook’s Libra.
- Cryptographic agility and post-quantum readiness. From pioneering production-ready stateless post-quantum signatures to developing the first backward-compatible post-quantum solutions, our team has consistently pushed the boundaries. This includes enabling cryptographic upgrades and key rotation while preserving the same blockchain address (afaik the first crypto agility design in decentralized ledgers is attributed to my team).
- Modern hardware wallet security. We’ve recently taken additional steps to incentivize startups to build the next generation of secure hardware wallets. With what we see in the market, this is one way.
- AI-powered vulnerability detection. Sui was the first blockchain to introduce AI-driven bug detection through BugDar, back then presenting at Google’s Next conference. We knew AI would mess up security.
- Recovering the seemingly unrecoverable. We created KelpMe, introducing innovative approaches to recovering assets after mnemonic loss or accidental transfers to incorrect addresses, problems traditionally considered practically impossible to solve. KelpMe also won the Bybit Hackathon, demonstrating the real-world potential of this innovation.
- Zero-knowledge authentication as a first-class primitive. We went far beyond using ZK for privacy or scaling. With innovations such as zkLogin and ZEE-CAT, and for a while the most used ZK app in the planet, we demonstrated how zero-knowledge cryptography could fundamentally transform authentication.
- Proofs of solvency and exchange accountability. Undeniably, we’re the leaders. Our cryptographers designed some of the most advanced proof-of-solvency protocols and identified critical weaknesses in approaches used by major exchanges and auditing firms.
- World-class academic research at startup speed. Mysten Labs has systematically pushed the boundaries of academic research productivity, achieving publication records that are extraordinary for a startup. Our researchers reached an incredible milestone of 5 papers accepted at ACM CCS and 4 at Financial Cryptography (FC) in the same year, two of the world’s most prestigious venues in cybersecurity and applied cryptography. And so many best paper awards.
- Binary transparency with Walrus sites and crypto guard. Reality is we should have pushed further making it the standard for any crypto website, but at the same time we indeed genuinely try to fix the internet.
- Scion from our Swiss team, IMO the future of internet communication, kill DoS, native packet protection.
That’s a phenomenal achievement even for established university research groups, let alone a startup simultaneously building and securing a major blockchain ecosystem.
And these are just a few examples.
When you consider the size of our team and the breadth of its contributions, even compared with the much larger Ethereum ecosystem, I genuinely believe Mysten Labs has been one of the most impactful organizations in blockchain cybersecurity, with innovations that are applied in the whole financial sector.
What makes this particularly remarkable is that we didn’t just publish research or build theoretical solutions. We repeatedly turned cutting-edge cryptographic research into production systems, often years ahead of broader industry adoption. No other org ever came close to that. Now with the AI vision of Evan, Mysten will do more miracles 🤞
Retrix retweeted
Will just hodl my allocation from tge and keep buying the dip
bht strat on @axisrobotics
buying, holding, tasking
success doesn't happen overnight but will happen over time, much love and respect to everyone putting in the work
let's keep building, gAxis
Haters will always find reasons to hate, and some people have already made up their minds long before any explanation reaches them.
FUDders will continue to spread negativity and flood comment sections with criticism. That's part of every growing project.
What many people won't admit is that they came in expecting huge rewards. Not because they believed in the mission, but because they hoped to replicate the massive gains they've seen from previous airdrops.
I don't blame anyone for having those expectations. After all, many joined Axis Robotics after hearing success stories from other projects. Even if there was no financial investment required, the time and effort people put in are still valuable.
The difference is that Axis Robotics was never meant to be an easy farm.
Those expecting instant rewards may be disappointed, but those focused on building, contributing, and staying the course understand that meaningful opportunities are rarely easy.
The hardest farms are often the ones that separate true contributors from opportunists.
Most contributors in the PH still are from the Airdrop communities that managed to shift and dedicated their time doing the trajectories carrying this hope and experience from being the airdrop farmers from the past projects.
Note: I have tried my hardest NOT to show the real b*tch inside of me.
I tried NOT to use the word GREED - because it's a pure slap on their face.
Cc: @axisrobotics @0xsexybanana @chris_anm01 @plpiaoliang @irisle_growth
#AxisRecovery





























