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| # | Tweet | User | Followers | Views βΌ | Ratio | Engagement | Posted |
|---|---|---|---|---|---|---|---|
| 1 | [image] π§π© PrismaX Bangladesh Regional AMA π¦Ύ
iβve been contributing to @PrismaXai for almost a year now, and when i look back, thereβs been a lot to learn along the way.
from understanding robotics and physical ai to exploring teleoperation, validation, and community activities, every | @kamrulbroz β | 7.8K | 2.9K | 0.4x | 248 | Sep 11 |
| 2 | [image] gPrisma fam ! @PrismaXai
The Office Hours #5 just went down on Discord!
This session was led by our brilliant team @shayebackus and @vivianrobotics
If you haven't followed them on X yet, hurry up!
Here are the main points the team shared with us π | @edward_evm β | 3.0K | 2.7K | 0.9x | 144 | Apr 4 |
| 3 | [image] πͺ | @Atifsher12345 | 432 | 1.4K | 3.1x | 86 | Jul 3 |
| 4 | [image] buried in a technical document about robot training data, there's one line that stopped me.
One of the things they measure isn't whether you did the task perfectly. it's whether you recovered cleanly after messing it up.
Read that again. the mistake isn't disqualifying. the | @Hellishnum1 β | 3.8K | 1.3K | 0.3x | 101 | Jul 30 |
| 5 | [video] why good robot training starts with good data ?
the more i explore @PrismaXai the more i realize that training a robot is not just about giving it more data. what really matters is what kind of data the robot is learning from.
iβve been watching different robot tasks on | @kamrulbroz β | 7.1K | 1.3K | 0.2x | 116 | Sep 7 |
| 6 | [image] Every test you have ever taken had an answer key sitting somewhere. someone knew the right answers before you started.
There's one running right now that doesn't.
On @PrismaXai , people score robot demonstrations. was the motion clean, did the task actually finish, is this | @Hellishnum1 β | 3.9K | 1.1K | 0.3x | 95 | Aug 8 |
| 7 | [image] Try explaining how you tie your shoelaces. not showing someone, explaining. in words, over the phone, to a person who has never seen shoes.
You can't. i can't either.
There's a name for this. we know more than we can tell. whatever your hands know never made it into language, | @Hellishnum1 β | 3.9K | 1.1K | 0.3x | 82 | Aug 14 |
| 8 | [image] Why is validation one of the most important parts of building intelligent robots?
In this thread,
we explore how high-quality validation improves robot training data, reduces AI errors, and why PrismaX validators play a critical role in shaping the future of Physical AI
π§΅π | @Atifsher12345 | 429 | 1.0K | 2.4x | 93 | Jul 1 |
| 9 | [video] finally got my Groundbreaker role at PrismaX π¦Ύ
more than a year ago i started contributing to @PrismaXai without really knowing where the journey would take me..
i just liked what they were building around robotics and physical ai so i stayed around learned teleoperation and | @kamrulbroz β | 9.0K | 1.0K | 0.1x | 85 | Sep 27 |
| 10 | [image] I've been writing about @PrismaXai for months now. data quality, teleoperation, robot arms, all of it.
And somewhere in the middle of that, a fair question turns up. what is this actually for?
It's easy to get lost in the theory and forget there's supposed to be a point waiting | @Hellishnum1 β | 4.1K | 1.0K | 0.2x | 79 | Sep 9 |
| 11 | [image] PrismaX Office Hour #8 β August Recap ποΈ
just joined the latest @PrismaXai office hour, and there were quite a few interesting updates from the team.
ποΈ this office hour will be hosted by:
βΈ Vivian Li - Marketing Ops Lead
βΈ Shaye Backus - Head of Growth
here are some of | @kamrulbroz β | 6.9K | 991 | 0.1x | 118 | Aug 30 |
| 12 | [image] My artwork tells the story of a validatorπ
A validator is like a gardenerπ±
By pruning noise and removing errors, they help healthy data grow.
Better data leads to smarter robots, and every careful review helps AI learn from the right examples.
That's how the standard starts.π¦Ύ | @saeedeh0361 | 569 | 961 | 1.7x | 121 | Jun 29 |
| 13 | [image] The word grasp means two completely different things and nobody finds that strange.
You grasp a handle. you also grasp an idea. same word, no confusion.
It goes further once you start looking. we get things. we hold opinions. we handle problems. we lose our grip on a subject. | @Hellishnum1 β | 4.2K | 953 | 0.2x | 59 | Sep 20 |
| 14 | [video] My Thoughts on PrismaX Validation πΊ
Iβve been watching some of the validation examples from @PrismaXai lately, and one of them made me look at robot data a little differently.
The task looked simple. A robot had to pick up messy clothes and put them in the right place. At | @kamrulbroz β | 6.9K | 912 | 0.1x | 93 | Aug 27 |
| 15 | [image] A flywheel is a heavy wheel that keeps spinning once it's going. the catch is that it never starts itself. someone has to push it by hand, and the first push is always the hardest one.
@PrismaXai describes what they're building as exactly that shape. more robots produce | @Hellishnum1 β | 4.0K | 903 | 0.2x | 53 | Aug 27 |
| 16 | [image] On September 25, @PrismaXai published an article introducing Robotics Data. i read it twice, because it says more about how robots learn than a product announcement usually does.
What they launched is a bank of real robot demonstrations for teams building physical AI, plus | @Hellishnum1 β | 4.3K | 882 | 0.2x | 72 | Sep 25 |
| 17 | [image] π’ PrismaX Introduces Robotics Data
@PrismaXai has introduced Robotics Data, a new solution for teams developing Physical AI systems.
It is particularly noteworthy that this is not merely a collection of robot demonstrations. The main idea is usable, diverse, and proven data | @NickRotenberg β | 3.1K | 880 | 0.3x | 142 | Sep 26 |
| 18 | [image] Egoslop vs Training-Grade: Navigating Data Quality in Physical AI @PrismaXai
In the 2026 Physical AI era, hardware availability is no longer the main bottleneck. As component costs drop, the critical challenge has shifted to a far more fundamental asset: training data quality. | @0xjyy7275 β | 1.8K | 800 | 0.4x | 49 | Aug 17 |
| 19 | [image] π’ WHEN ROBOTS MAKE MISTAKES
The more I study the field of Physical AI, the more convinced I become of one thing: A robot does not get a second chance.
An LLM can give you a wrong answer. A robot can turn a wrong prediction into a real physical action. A small position error, a | @NickRotenberg β | 3.0K | 799 | 0.3x | 145 | Sep 22 |
| 20 | [image] The undo button might be the quietest important invention of the last fifty years.
Almost everything i do in a day is reversible. delete the file, rewrite the sentence, revert the commit, close the tab without saving. entire careers now happen inside a medium where mistakes cost | @Hellishnum1 β | 4.2K | 797 | 0.2x | 59 | Sep 13 |
| 21 | [video] π’ Why Validation Matters for Physical AI
The more I validate robotics datasets on @PrismaXai the more I realize how much can hide behind a simple task.
During the check, I focus on more than just the final result. It is important to understand exactly how the robot performed | @NickRotenberg β | 3.1K | 762 | 0.2x | 127 | Sep 24 |
| 22 | [image] The cameras give you no depth. the connection has lag. and somehow you still manage to grab the cup.
I never thought about why that's remarkable until i read how @PrismaXai describes it in their own docs.
When you take control of an arm from your browser, you're looking at a | @Hellishnum1 β | 3.9K | 761 | 0.2x | 62 | Aug 19 |
| 23 | [video] PrismaX Validation Episode #46102 from pickup lab π¦Ύ
today i was looking through another PrismaX validation example, episode #46102 from pickup lab, & something caught my attention.
at first, i didnβt think there was much to look at. the robot does the task, finishes it, and | @kamrulbroz β | 6.9K | 749 | 0.1x | 65 | Sep 4 |
| 24 | [image] A student who's confused can raise their hand.
That's such an ordinary part of learning that it disappears into the background. you watch somebody do something, one part of it makes no sense to you, and you ask. why did you angle it like that. why not the other way.
A robot | @Hellishnum1 β | 4.2K | 708 | 0.2x | 62 | Sep 22 |
| 25 | [image] uber driver in a world of robots
if you look at the @prismaxai roadmap not as a technical diagram, but as a labor market, an interesting picture emerges
stage one(now)
teleoperation. you get behind the wheel of a real robot remotely and perform tasks manually. it's literally | @Markullill β | 819 | 502 | 0.6x | 37 | Aug 9 |
| 26 | [image] happy 1st birthday, @PrismaXai π
i haven't been around for the whole year. i joined the Discord on February 23rd and posted my first piece of content on May 21st, so i'm one of the newer faces here. but honestly, in that short time this lovely project has given me some really | @Hellishnum1 β | 3.5K | 500 | 0.1x | 83 | Jun 19 |
| 27 | [image] While everyone is busy discussing Kaito on Axis Robotics,
Iβm sitting here enjoying the @PrismaXai Content Clinic, hosted every Friday by their Community Manager @vivianrobotics
-------------------
What happens during the session?
Vivian personally reviews content from | @edward_evm β | 3.0K | 499 | 0.2x | 52 | Aug 21 |
| 28 | [video] PrismaX isnβt just another robotics project itβs building the foundation for how machines learn in the real world
Most AI today is trained in controlled environments or simulations.
But real-world intelligence is messy, unpredictable, and constantly changing.
Thatβs where | @Preetdahiya0 β | 2.3K | 385 | 0.2x | 120 | Mar 31 |
| 29 | [video] π¦Ύ @PrismaXai
Most people think the hardest part of Physical AI is training better models.
I think the harder challenge is building a system that continuously produces better training data.
That is the direction @PrismaXai seems to be moving toward.
Instead of treating data | @0xsepiata β | 2.2K | 358 | 0.2x | 68 | Jul 11 |
| 30 | [image] This is the kind of engineering conversation Physical AI needs more of.
When we talk about capable robots, the conversation often jumps straight to intelligence models and autonomy
But the physical layer sets the limits too
Actuators have to continuously deal with energy | @wedrick126807 β | 2.1K | 252 | 0.1x | 50 | Aug 20 |
| 31 | [video] Want to understand what powers the future of robotics?
Watch this video for the last And tell me what you think
@PrismaXai
@edward_evm
#Web3 #AI #Crypto #NFT #OG #Alpha | @RakanAlpha | 197 | 236 | 1.2x | 50 | Jun 25 |
| 32 | [video] Robots still need people to learn. Thatβs the part most βautonomous robotβ talk skips.
@PrismaXai is built around that. Itβs a Solana platform where you open a browser, take control of a real robot arm, and do simple jobs: pick something up, move it, stack a few blocks. You earn | @yaghouteKaboud β | 2.2K | 225 | 0.1x | 34 | Sep 28 |
| 33 | [video] Picture @PrismaXai three pillars like this:
Teleop: right now, humans are the engine.
Robots can't handle most tasks alone yet, so a real person somewhere else is holding the controls. PrismaX just builds the road for that, anyone can sit down, guide a robotic arm, and get paid | @yaghouteKaboud β | 2.2K | 217 | 0.1x | 41 | Sep 21 |
| 34 | [image] If the world were ending, how would you react? ππ
My reaction would be exactly like Prismaxβs cat ππ
@PrismaXai @MaxC16134 @vivianrobotics | @mahyarT86 β | 1.2K | 210 | 0.2x | 47 | Sep 27 |
| 35 | [image] Me in Prisma #09 π
Collecting more completed runs does not automatically improve the dataset
On @PrismaXai, extra episodes can make the model worse if the extra movement is noisy
A completed task still writes a full trajectory into training data | @shaadaabak β | 2.0K | 202 | 0.1x | 35 | Sep 21 |
| 36 | [image] Robots have bodies, while AI has brains.
Yet there is one missing piece for robots to truly step into the real world π experience.
This is a link that PrismaXai is attempting to fill.
Through remote operation, humans can handle complex scenarios that the model cannot yet manage | @AubrieHart17213 β | 2.4K | 183 | 0.1x | 49 | Aug 27 |
| 37 | [image] In the past, when discussing Physical AI, people were more inclined to talk about the models and how powerful the robots themselves were.
However, PrismaX has recently been emphasizing a more realistic issue:
What kind of data do robots actually need to consume?
More data is | @AubrieHart17213 β | 2.4K | 182 | 0.1x | 46 | Aug 15 |
| 38 | [video] Everybody's obsessed with bigger models. Nobody's talking about the actual bottleneck in physical robotics: data.
You can have the smartest model in the world, but if it trained on simulated data, it's gonna choke the second it hits the real world. Different lighting, different | @yaghouteKaboud β | 2.1K | 182 | 0.1x | 29 | Sep 1 |
| 39 | [image] π± Latest Updates on PrismaXAI π±
Hey friends, got a great announcement from PrismaXAI.
According to @vivianrobotics , there will be an Office Hour event on Friday, August 28 at 16:00 (1 PM UTC)
The team will be answering our questions live π¦Ύ
Want to join and ask your | @Hakanisleten β | 1.4K | 176 | 0.1x | 32 | Aug 25 |
| 40 | [image] After 8 months of consistency, patience and hard work, I finally got the Groundbreaker role at @PrismaXai
This journey taught me a lot more than I expected.
β’ I learned how to create better quality posts and kept improving my content.
β’ I gained confidence in hosting | @kastew99999 β | 1.2K | 171 | 0.1x | 19 | Sep 24 |
| 41 | [image] robot intelligence starts with data
@PrismaXai is opening Robotics Data in limited release, connecting high quality teleoperation and egocentric demonstrations with teams building physical AI
the goal isnβt just more data but better data designed around what models actually | @swee_lii β | 2.2K | 164 | 0.1x | 13 | Sep 25 |
| 42 | [image] Me in Prisma #06 π
A clean first grab looks impressive
When the object never slips, the recording is mostly a successful path from A to B
The model sees the destination
It learns much less about contact, friction, or what to do when the grip is slightly wrong
A small slip | @shaadaabak β | 1.9K | 152 | 0.1x | 35 | Aug 31 |
| 43 | [image] π Happy Friday ! - PrismaX Content Clinic π
Friday is here again, and the PrismaX community comes together for another Content Clinic to reflect on, review, and celebrate what members have achieved throughout the week. π
Itβs more than just a weekly recap - itβs a chance to | @Rayleigh_com β | 6.5K | 150 | 0.0x | 17 | Sep 18 |
| 44 | [image] the more i learn about @PrismaXai , the more i think the real challenge isn't simply collecting more robotics data.
it's knowing which data is actually worth building on.
a robot can generate thousands of interactions, but without quality verification and a reliable validation | @somayyeh1990 β | 2.7K | 121 | 0.0x | 48 | Sep 21 |
| 45 | [image] Another karaoke night is over, and I got to hear some amazing voices! π€π₯
Thanks for hosting @vivianrobotics β€οΈ
@PrismaXai | @mahyarT86 β | 1.2K | 108 | 0.1x | 25 | Sep 27 |
| 46 | [image] A quiet night under the @PrismaXai moon ππ©Ά
The journey continues
Stay with Prismax
@MaxC16134 @vivianrobotics | @mahyarT86 β | 1.2K | 97 | 0.1x | 29 | Sep 11 |
| 47 | [image] HOW HUMAN ACTIONS BECOME ROBOTICS DATA
How does a robot learn to perform a task in the physical world?
It starts with a human action.
During teleoperation, a human operator controls a robot and demonstrates how a task should be performed.
The robot captures more than just the | @SnvNtl β | 295 | 60 | 0.2x | 8 | Sep 24 |