KOL 🦺 || Web3 content creator | alpha airdrop || core contributor @axisrobotics | Regional Lead prev. project @sign | building @steppafnf DM for collabs 🤝
Joined October 2024
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JUST NOW: 👇👁️👁️👇
Axis is building the “compounding data engine” for Physical AI — crowdsourced robot training data (browser simulations + real-world video) recorded on Base.
Pairing that with Pi’s massive user/node network is the strategic point she’s highlighting: turning a large crypto community into additional scale for robot intelligence data.
"Technical Integration Plan for @axisrobotics & @PiCoreTeam is COMING SOON" - @0xsexybanana
0xbossj (✱,✱) retweeted
LATEST: @axisrobotics, a portfolio company backed by @PiCoreTeam ($PI), reportedly experienced a highly active October 2026.
The company stood out with a particularly busy month, highlighting its ongoing development and growing activity. Its latest progress adds to the expanding portfolio of projects within the Pi Network ecosystem.
October could mark an important period for axisrobotics as it continues advancing its business and robotics initiatives.
0xbossj (✱,✱) retweeted
A big bet on robots from @PiCoreTeam! 🤖 Pi Network Ventures joined the $12M seed round for @axisrobotics.
It extends a pattern for $PI's venture arm, and the picture it paints goes way beyond crypto.
See why ⬇️
bsc.news/post/pi-network-axi…
👀
October was a MASSIVE month for Axis Robotics.
Few platforms had a busier October 2026 than @PiCoreTeam $PI portfolio company @axisrobotics.
Here are some highlights...
(1) The AXIS token officially launched on October 21, with day-one support from several major CEXs.
(2) Axis announced a partnership with spatial intelligence provider @ManycoreTech.
(3) Axis announced a commercial partnership with leading car manufacturer @lotuscars.
All this alongside some key product updates and research publications.
Can November be even bigger or are things slowing down...?
More on Pi Ventures' portfolio: bsc.news/tokens/pi
0xbossj (✱,✱) retweeted
Special thanks to @0xbossj and @Papzzzicle! Huge thanks to the core PH contributors who keep showing up and leveling each other up.
Even without newbies in the room, sessions like this strengthen the people who have been here from the start and to all the ones who believe in the mission of building Physical AI through real contribution, not just waiting for the next reward update.
Every clean trajectory, every shared tip, every hour spent helping others still compounds. Let’s keep building while the system evolves. The work we do now is what makes the whole engine stronger for everyone.
Thank you @drag4_t for dropping by to join the happy Filipinos enjoying the trajectories. We also celebrate and congratulate you stepping up to be the New Region Lead of @axisrobotics India @axisroboticsin_
LFG Philippines! 🦾🇵🇭
Cc: @plpiaoliang @irisle_growth
AXIS SIM TRAINING LIVE
Join us for @AxisRobotics Philippines’ Sim Training session live on Discord.
Whether you’re new to simulation or looking to level up, this is your chance to learn, ask questions, and see the tools in action.
Here are the pointers that we will perform later:
👉Accessing tasks & understanding the lifecycle.
✅The Pre-Training and The Post-Training
✅Robot simulation basics + controls
Workflow, scoring, submission & troubleshooting
👉Two items to train (hands-on)
1. Basic Pre-training task (start with 1-star Pick/Place or Object Placement)
Practice clean grasp → transport → precise place, using double-click + fine adjustments, checkpoints, and smooth motion for better quality score.
2. Wheeled Franka task
Practice coordinating wheeled base movement with the arm (forward/back, steering, height, rotation). Focus on efficient paths, combination key tricks, and completing the full sequence without unnecessary corrections.
The 30 Contributors who committed in the Philippines will be there too!
When: November 12, 2026 • 9:00 PM (21:00) PHT
Where: Discord - @axisroboticsph Voice Chat
discord.gg/8xYZmUWs
See you there. @imbananagreg @Papzzzicle @0xbossj
We always deliver! 😎🦾
Special thanks to @0xbossj and @Papzzzicle! Huge thanks to the core PH contributors who keep showing up and leveling each other up.
Even without newbies in the room, sessions like this strengthen the people who have been here from the start and to all the ones who believe in the mission of building Physical AI through real contribution, not just waiting for the next reward update.
Every clean trajectory, every shared tip, every hour spent helping others still compounds. Let’s keep building while the system evolves. The work we do now is what makes the whole engine stronger for everyone.
Thank you @drag4_t for dropping by to join the happy Filipinos enjoying the trajectories. We also celebrate and congratulate you stepping up to be the New Region Lead of @axisrobotics India @axisroboticsin_
LFG Philippines! 🦾🇵🇭
Cc: @plpiaoliang @irisle_growth
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0xbossj (✱,✱) retweeted
AXIS SIM TRAINING LIVE
Join us for @AxisRobotics Philippines’ Sim Training session live on Discord.
Whether you’re new to simulation or looking to level up, this is your chance to learn, ask questions, and see the tools in action.
Here are the pointers that we will perform later:
👉Accessing tasks & understanding the lifecycle.
✅The Pre-Training and The Post-Training
✅Robot simulation basics + controls
Workflow, scoring, submission & troubleshooting
👉Two items to train (hands-on)
1. Basic Pre-training task (start with 1-star Pick/Place or Object Placement)
Practice clean grasp → transport → precise place, using double-click + fine adjustments, checkpoints, and smooth motion for better quality score.
2. Wheeled Franka task
Practice coordinating wheeled base movement with the arm (forward/back, steering, height, rotation). Focus on efficient paths, combination key tricks, and completing the full sequence without unnecessary corrections.
The 30 Contributors who committed in the Philippines will be there too!
When: November 12, 2026 • 9:00 PM (21:00) PHT
Where: Discord - @axisroboticsph Voice Chat
discord.gg/8xYZmUWs
See you there. @imbananagreg @Papzzzicle @0xbossj
0xbossj (✱,✱) retweeted
Training a robot on another 100 hours of data is guesswork if you don't know what's going wrong.
🔹 @axisrobotics uses model feedback to spot the gaps.
🔸 Sometimes, just 1 hour of targeted data can address them.
@0xsexybanana, Co-Founder, explains the data-to-model feedback loop.
0xbossj (✱,✱) retweeted
Bought this PSA 10 Mewtwo Black Star Promo at @renaissxyz 6 months ago
Now today: +400% 🔥
I LOVE POKEMON
0xbossj (✱,✱) retweeted
Can a robot learn better from less? @axisrobotics, a Pi Network Ventures-backed startup (@PiCoreTeam), picked the right half of its simulation data and saw real-robot success hit 86%, up from 26% ⬇️
bsc.news/news/axis-robotics-…
0xbossj (✱,✱) retweeted
KBW @kbwofficial was a hit.
In Seoul we got to meet contributors from all over the world, and talk through the Physical AI data engine we're building.
Thanks to everyone who stopped by and built with us. See you all next time.
0xbossj (✱,✱) retweeted
WATCH: Less training data could lead to smarter robots, according to new research from @axisrobotics.
The robotics data startup, backed by seed investors including Pi Network Ventures from @PiCoreTeam, has introduced TUCO, a method designed to select the most useful simulated demonstrations for robot training.
Working with researchers from Stanford, Berkeley, Carnegie Mellon, and other institutions, the team found that a robot arm trained with a small set of real-world demonstrations and carefully selected simulations achieved an 86% success rate.
By comparison, using randomly selected simulations or the entire simulation dataset resulted in significantly lower performance.
The findings suggest that better data selection, rather than simply increasing data volume, could be key to improving robotic intelligence.
0xbossj (✱,✱) retweeted
Less data, better robots, according to new Axis Robotics research
Robotics data startup @axisrobotics, which counts Pi Network Ventures from @PiCoreTeam among its seed investors, has published TUCO, a method for choosing which simulated demos to train a robot on.
Working with researchers from Stanford, Berkeley, Carnegie Mellon, and others, the team says a real robot arm trained on 10 real demos plus 600 carefully chosen simulated ones succeeded 86% of the time.
The same robot reached only about 26% when the 10 real demos were paired with a random 600, or with all 1,200 simulated demos at once. Tests covered three tasks, including stacking a cube, with 40 tries each.
0xbossj (✱,✱) retweeted
Most Comprehensive Robotics Data Projects
1. @axisrobotics
We can say Axis is the most proven and successful robotics project in Web3 at this moment. They are building a compounding data engine for physical AI. They have also partnered with multiple Web2 robotics companies.
2. @BitRobotNetwork
BitRobot is trying to build a data network layer for robotics. They have already onboarded some robotics projects including Axis Robotics.
3. @openroboto
OpenRoboto operates a robotics model-improvement network on Bittensor Subnet 80. Their main focus is model training and competition, as well as decentralized robotics-data collection.
4. @PrismaXai
PrismaX is a robotics teleoperation and data marketplace.
5. @InvLambda
Inverted Lambda is building an economic layer around physical-AI contributions.
6. @ZenO4AI
ZenO focuses on first-person, real-world data for physical AI.
7. @4Dlabs_Official
4D Labs is focused on 3D/4D spatial intelligence.
It’s not a final list. This ranking is based on the current market scenario and some projects may do far better than others.
It’s just a research result based on current data. And @SurfAIHQ helped me a lot in finding the exact rank.
ALT It’s just a research result based on current data. And @SurfAIHQ helped me a lot in finding the exact rank.
👀👀👀
How should you choose simulation demos for co-training when real robot data is scarce?
Introducing TUCO: Curating Simulation Demonstrations for Sim-to-Real Robot Policy Co-Training, the first systematic study of data curation for sim-to-real robot policy co-training.
With just 10 real demos and 600 curated sim demos per task, TUCO hits 85.8% real-robot success, versus 25.8% for the full 1,200 pool or a random 600, and sets SOTA across all three transfer settings.
A collaboration with researchers from @Stanford @NTUsg @CarnegieMellon @FudanUniversity @UCBerkeley @sjtu1896.
Project page: tuco-curation.github.io/
Details below ⬇️
0xbossj (✱,✱) retweeted
🔥 NEWS: AXIS ROBOTICS ANNOUNCES TOKEN BUYBACK PROGRAM
@axisrobotics, a portfolio company of @PiCoreTeam’s $PI Ventures, has announced a recurring buyback program for its new AXIS token.
Under the plan, a portion of the profits generated from the company's commercial contracts will be allocated to purchasing AXIS directly from the open market.
The company will also publish quarterly updates disclosing the amount of tokens bought back, giving the community greater visibility into its buyback activity.
Connecting real commercial revenue with token buybacks adds another layer to AXIS's economic model, linking business performance to its token ecosystem.
👀👀👀
JUST IN: Pi Network ($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-…
0xbossj (✱,✱) 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-…
0xbossj (✱,✱) retweeted
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.
