Making Technology Tangible
What if technology could do more than respond to our commands on a screen?
With robotics, intelligence can move into the physical world and become part of everyday life.
That's the future we're exploring with @PrismaXai.
A future worth building.
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Faster inference. Less memory. More accessible robotics.
PrismaX optimized π0.5:
• Inference: 230 ms → 87 ms
• Rollout VRAM: ~22 GB → 11.2 GB
Now it fits on a 16 GB GPU.
Better Physical AI isn't just about bigger models. It's also about making them practical to run.
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Simulation doesn't replace real-world testing. It makes it more intentional.
Test thousands of policies in sim, eliminate the ones that fail, then bring the strongest candidates to real hardware.
At PrismaX, we see simulation as a critical step toward reliable robot deployment.
"Imagine if you're testing a robot policy on a hundred thousand dollar humanoid robot and it breaks. Then that's it."
@vivekgr92 of @agilityrobotics earlier this month on our RoboCon Physical AI Salon panel, From Lab to Deployment: youtu.be/ccaKajf0rPo
His point:
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A robot's intelligence begins before training
The tasks it sees,the objects it handles,and the environments it experiences all shape what it learns
At PrismaX,better Physical AI starts with better Robotics Data
Because what a robot learns depends on what it experiences
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I'm contributor #137 to the MOSS Social zkLogin ceremony.
b70b0257589c0ad99a6f6899ed824eeb4a59d8fd2d7640495806a11f5025bad1
The more people who join, the stronger it gets. Contribute your entropy here: ceremony.megaeth.com
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Me and the boyz speedrunning our way to Kardashev II. @beffjezos gets it. Push civilizational acceleration forward with @projectspherexy
PS//WS3C5A
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Growth doesn't always arrive as a big breakthrough.
Sometimes, it's a series of small actions repeated over time—sharing ideas, joining discussions, showing up, and helping the community move forward.
Exploratory → Stabilized. A reminder that consistency matters at PrismaX.
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卧槽,Bitget 这波 AXIS 挖矿有点东西😂
手里 2 万多个 AXIS,昨天一天直接挖了 700 多个,APR居然 1000%+?
AXIS 第二季也正式开启了,社区贡献继续累积!不要错过呀!先埋头干活,后面再看结果👀
感谢项目方!!感谢郡主大大!!!
@axisrobotics @0xsexybanana
You've said "nobody hands one a $50K contract without knowing where a disagreement goes."
But GenLayer appeals run $4K–$100K vs <$1 base txns.
So at what deal size does a dispute route stop making economic sense for an agent? Where's the floor? @kstellana @GenLayer
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For years,simulation focused heavily on visual fidelity
But as discussed at RoboCon,realistic-looking scenes aren't enough
Physics is what can break a policy
A robot must do more than see a world that looks real. It must act in a world that behaves like one
Demo is not deployment.
From Lab to Deployment, the full RoboCon panel with @sharonal_lee of @moonlake, @vivekgr92 of @agilityrobotics, and @castorhat, is now live.
Sim vs. real, models that fit on the robot, and what "good" means to a customer.
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Trained in a white-background workcell. Deployed on different hardware, in an unfamiliar convention center.
At IROS, @PrismaXai ran π0.5 on two YAM arms, picking fruit in a live demo.
Sim-to-real isn't magic. It's engineering, data, and knowing what truly matters.
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Tonight, @PrismaXai turned puzzle pieces into a little friendly competition! 🧩
Our Jigsaw Planet challenge tested more than speed—it took sharp eyes, patience, and a bit of strategy.
Different pieces, one community. Thanks to everyone who joined!
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IROS 2026 showed just how crowded the robotics hardware market is.
More hands. More actuators. More humanoids.
But every new robot creates the same question:
What will it learn to do?
Hardware gives robots capability. Data turns capability into behavior.
Field notes from IROS 2026 in Pittsburgh: a show floor full of dexterous hands, hand makers turning into data companies, and site-unseen demos that held up.
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A robot can work in simulation.
A robot can work in a lab.
But can it work where the customer actually needs it?
That’s the real question behind “From Lab to Deployment” at RoboCon, hosted by PrismaX and Moonlake during SF Tech Week.
RoboCon is coming to SF Tech Week.
This Friday, PrismaX and @moonlake host the RoboCon Physical AI Salon: one panel, live robot demos, and a room full of people getting robots out of the lab and into the real world.
@Techweek_ #SFTechWeek
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What if the data you need for training simply doesn’t exist yet?
PrismaX lets teams define the task, embodiment, and scenes—and produces the data around the specification.
Off-the-shelf data is available today. Custom collection can start within days.
Robotics Data is open in limited release.
Usable, diverse, proven demonstrations for the teams building physical AI. Teleoperation and egocentric episodes, reviewed to one standard, growing every month.
Explore the data and request access: prismax.ai/#plans
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The next breakthrough in robotics may not come from simply scaling the dataset.
It may come from collecting the right data: the right tasks, form factors, environments, failures, and edge cases.
That’s the conversation @PrismaXai brought to #IROS2026.
On camera at booth 1122: @castorhat with @jonstephens85 at IROS.
Thanks for stopping by, Jonathan. Always good to talk shop on the floor 🦾
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What if robotics data didn’t end up sitting in a dataset?
With Penn Engineering’s GRASP Lab, PrismaX is exploring how Robotics Data can support reinforcement learning for adaptive robot policies
Data→Learning→Adaptation→Validation
The real test is what happens on the robot
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