AureliaX

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AureliaX

AureliaX

@0xAurix

AI x DeFi content creator | Research threads, airdrop guides & project notes | DS student | Community builder

Katılım Haziran 2025
133 Takip Edilen172 Takipçiler
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AureliaX
AureliaX@0xAurix·
gm, I'm AureliaX ☀️ I write about AI x DeFi, early crypto projects and community opportunities. I'm also building my Data Science skillset, so I like turning messy projects into clear notes, guides and research threads. Here you'll find: • project breakdowns • airdrop guides • AI x crypto notes • community work Restarting this journey with more focus, curiosity and consistency! NFA, always DYOR.
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AureliaX
AureliaX@0xAurix·
Joined Trivia Tango in the @PrismaXai Discord today 🦾 The quiz was based on the whitepaper, so it was a nice way to test how well I actually understood the core ideas. I placed 20th out of 100+ participants, which made me really happy :) It was fun, a bit intense, and genuinely useful if you're learning the ecosystem. Trivia Tango happens every Tuesday, so if you want to test your PrismaX knowledge too, you can join the Discord and give it a try: discord.com/invite/prismax… gPrisma
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AureliaX
AureliaX@0xAurix·
I'm applying for the PrismaX Regional Ambassador Program. I found @PrismaXai recently, so I won't pretend I've been here for months. But the project pulled me in fast: physical AI, teleoperation, real-world robotics data, and the idea that community members can help train the future of robots. What I've already contributed: • wrote beginner-friendly PrismaX content on X: whitepaper notes, onboarding/points guide, Robot Control Center breakdown, and Doesn't Grasp podcast notes • joined Discord events and community discussions • supported both technical and casual conversations in English and Russian • actively supported community posts on X with thoughtful replies, helping more people discover PrismaX What I'd like to build: a clear and welcoming Russian-speaking PrismaX community where newcomers can understand the ecosystem without feeling lost. My focus would be: • local-language explainers and recap posts • simple guides for teleop, points, arms, memberships and product updates • summaries of events, podcasts and AMAs for people who missed them • beginner support in Discord • collecting questions and feedback from the local community • content that feels accurate, warm and human I'm still early in my own PrismaX journey, but I learn fast and I care about making complex things understandable. Physical AI can feel intimidating at first. Teleoperation, robot control, real-world data and robotics infrastructure are not easy topics for newcomers. I want to help more people enter this ecosystem with curiosity instead of confusion. gPrisma 🦾
PrismaX@PrismaXai

Introducing the PrismaX Regional Ambassador Program. A select cohort of regional leaders building local PrismaX communities in their language, region, and time zone. Applications open today 👉 forms.gle/3Hfo8yEEKsGLeo…

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AureliaX
AureliaX@0xAurix·
@nixkhhil this is a good example of how messy real-world data actually is 😁 amazing article, great job!
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ZaMe
ZaMe@v_3394·
PrismaX | Cầu Nối Giữa Hạ Tầng Physical AI Và Robot Đời Thực @PrismaXai xây dựng một Robot Fleet để kết nối AI với robot ngoài đời thực. Mỗi loại robot phục vụ một nhóm nhiệm vụ khác nhau như hướng dẫn khách, quảng bá sự kiện, nghiên cứu AI, thao tác vật thể hay kiểm tra hiện trường. 🤖 Unitree G1 Robot hình người nhỏ gọn (1,2m, 35kg) Dùng cho: Tour Guide, Conferences, Advertising Phù hợp triển lãm, sự kiện, quảng bá thương hiệu 🤖 Ubtech Walker Robot hình người cỡ lớn Dùng cho: Food Service, Warehousing, Research Hỗ trợ kho vận, dịch vụ và nghiên cứu chuyển động 🦾 Reachy 2 Robot chuyên thao tác bằng tay Dùng cho: Manipulation Research Thích hợp nghiên cứu AI và điều khiển vật thể 🏭 Boardwalk Alex Robot thao tác công nghiệp Dùng cho: Manufacturing, Maintenance Hỗ trợ sản xuất và bảo trì 🧡 Mirokai Robot tương tác xã hội Dùng cho: Hospitality, Conferences Hỗ trợ lễ tân, khách sạn và sự kiện 🐕 Unitree Go2-W Robot chó có bánh xe Dùng cho: Inspection, Research Kiểm tra hiện trường, tuần tra, thu thập dữ liệu 💰 Giá thuê Hiện giao diện PrismaX chưa công bố giá thuê từng robot. Để truy cập Robot Fleet, người dùng cần Amplifier Membership trị giá 99 USD (thanh toán một lần) Có 2 khả năng: Robot được triển khai tại địa điểm đối tác của PrismaX ( khả năng cao hơn) - Người dùng đặt nhiệm vụ (mission). - Robot đang có sẵn tại địa điểm đó sẽ thực hiện công việc. - Người dùng hoặc AI Agent có thể điều khiển, giám sát từ xa. - Mô hình này phù hợp với việc mở rộng quy mô toàn cầu. Robot được vận chuyển trực tiếp tới địa điểm khách hàng - Áp dụng cho hội nghị, triển lãm, quảng bá thương hiệu hoặc sự kiện ngắn hạn. - Chi phí logistics, bảo hiểm và nhân sự hỗ trợ khá cao. - Thường chỉ dành cho khách hàng doanh nghiệp.
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shiqway92
shiqway92@shiqway92·
Gold or Black? Training Arm Gold → learn & train Training Arm Black → deeper interaction & advanced experience @PrismaXai gives each mode its own role inside Robot Control Center
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AureliaX
AureliaX@0xAurix·
@whoami5172 matching the robot to the environment sounds obvious, but it matters so much! great video btw 😌
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Who Am I
Who Am I@whoami5172·
When building Physical AI, the goal is not to create one robot for everything. Different environments and tasks need different types of embodiments. A robot working inside a warehouse will move and operate differently from a humanoid assistant or a robotic arm in a factory. Thats why we need to first understand the environment, the task, and the real world challenges before designing the system. By matching the robots capabilities with the situation from the start, we can build machines that work more naturally, make better decisions, and perform tasks more efficiently in the real world. PrismaX Twitter:@PrismaXai Discord:discord.gg/prismaxai @MaxC16134 @vivianrobotics
Who Am I@whoami5172

Different tasks, 1 incredibly smooth performance. How are robots moving this naturally in the real world It all starts with high quality data. Through teleoperation, high quality data is collected from humans to train robots for complex real-world tasks with smoother control, better accuracy, and more adaptive behavior. From organizing objects to handling delicate tasks, every movement becomes more intelligent through better learning. The results? Smarter robots that can performe tasks more naturally and efficiently Better data > better learning > smarter robots. Physical Ai is evolving faster then ever, and this is only the beginning. PrismaX Officals: Twitter(X):@PrismaXai Discord:discord.gg/prismaxai @MaxC16134 @vivianrobotics

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AureliaX
AureliaX@0xAurix·
@CryptoWithCK yep, failed attempts can be more useful than perfect demos 😁
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CHETAN
CHETAN@CryptoWithCK·
gPrisma 🦾 A robot failing once in the real world teaches more than another perfect demo ever will. That is becoming one of the most important ideas in physical AI. A lot of robotics discussion still focuses on hardware quality or model capability, but deployment is where systems actually get tested. Real environments introduce problems that controlled demos rarely capture: - unstable lighting - shifting object positions - latency during movement - inconsistent physical interaction - unpredictable human environments This is why data generated during live operation matters so much. PrismaX is building around this problem through teleoperation infrastructure designed to continuously capture real-world interaction loops instead of relying mainly on isolated demonstrations or synthetic environments. ➥ Why this matters Physical AI models improve through interaction quality, not only dataset size. Every time an operator: - corrects a failed movement - stabilizes an object - adjusts positioning - slows movement under uncertainty - recovers from an unstable interaction the system captures behavioral signals that remain difficult to simulate accurately. Those corrections contain operational intelligence. A successful task only shows the final outcome. Recovery behavior shows how humans maintain stability when environments stop behaving perfectly. ➥ The deployment problem Most robotics systems still operate inside fragmented deployment pipelines: - separate teleoperation systems - isolated operator networks - inconsistent data collection - different validation standards That creates duplication across the industry while slowing the rate at which useful interaction data compounds. PrismaX is approaching this differently by building a coordination layer where operators, robots, and interaction data exist inside a shared operational system. The important part is not simply remote robot control. It is the ability to continuously: - collect interaction data - validate operational quality - organize behavioral signals - reuse real-world feedback for future training at scale. ➥ Why teleoperation becomes valuable Teleoperation is not only about human control. It creates live feedback loops where robots continuously encounter unpredictable physical conditions while humans stabilize tasks in real time. That interaction becomes training infrastructure for physical AI. Over time, systems capable of organizing these operational feedback loops efficiently may improve much faster than systems relying mostly on controlled demonstrations. The robotics race is slowly turning into an infrastructure and coordination race. And deployment may become the layer that decides who scales first. @PrismaXai @vivianrobotics
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Duke
Duke@Rufus_szn·
Robotics is transformative because it extends human capability into the physical world. And from @PrismaXai perspective isn't about replacing jobs or anyone, it’s about amplifying human skill and turning it into scalable, real-world impact.
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𝗤𝗨𝗔𝗡𝗧𝗨𝗠_ 🌬
𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝘁𝗲𝗹𝗲𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝘃𝘀 𝗿𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗮𝗳𝘁𝗲𝗿 𝘁𝗲𝗹𝗲𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻 [@PrismaXai]. Robotics before teleoperation scaling looked very limited. Most robots could only work in controlled environments. Labs. Factories. Structured spaces. Once something unexpected happened, the robot struggled. A different object. A new layout. Small changes could break the whole task. --- That’s because robots still need help understanding the real world. Collecting real-world training data has always been slow and expensive. --- Teleoperation changes that. Instead of robots failing alone, humans can step in remotely and guide them through difficult situations. The robot completes the task. The interaction becomes training data. The system learns from it. --- This is one reason PrismaX focuses heavily on teleoperation. It creates a way for robots and humans to work together instead of separately. And the more interactions happen, the more useful data gets created. --- After teleoperation scaling: robots can slowly start operating in more real-world situations with human support behind the scenes. The important part is that teleoperation is not only about controlling robots. It’s also about teaching them. Every correction, movement, and completed task helps improve future robot intelligence. ___________+__________ All the useful links for PrismaX- Discord - discord.gg/prismaxai Linktree- t.co/ipHnnMfn5Q
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Duck 🦍⚡️
Duck 🦍⚡️@DuckSentient·
One of the most practical applications of humanoid robots is perhaps not in technology demonstrations @PrismaXai => But in places where humans shouldn't be present. This video shows humanoid robots participating in inspection and operational tasks in a high-risk industrial environment. These are jobs where even a small mistake could have serious consequences for humans. Interestingly, the future of robotics may not be about eliminating humans from the work process. But rather about allowing humans to be present anywhere through robots. When combined with teleoperation, robots become a bridge between the digital and physical worlds. Humans remain observers, assessors, and decision-makers, while robots perform the operations on-site. ==> That's also one of the reasons I'm interested in the development direction of @PrismaXai . Instead of focusing solely on the robots themselves, the project aims to build the infrastructure to connect operators with robots in real-world environments. If AI has helped expand human cognitive capabilities in the digital world, then robotics could be the technology that expands human presence in the physical world. And high-risk environments like this will likely be among the first to demonstrate the true value of that. 🦾
Duck 🦍⚡️@DuckSentient

Robots don't learn the most when things go perfectly 🤔 They learn the most when things go unexpectedly. A missed grab, a directional adjustment, or a retry all contain data that is difficult for a simulated environment to replicate. That's why real-world data is becoming increasingly important for Physical AI. This is also what makes PrismaX so interesting to me. Instead of just focusing on building robots or AI models, the project is focusing on a more fundamental problem: how to collect real-world data on a large scale through teleoperation and human-robot interactions. If AI is built from internet data, then Physical AI needs to be built from real-world data. And perhaps it's the failures, adjustments, and recovery that are where the most valuable data is generated 💪 @PrismaXai

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𝗤𝗨𝗔𝗡𝗧𝗨𝗠_ 🌬
Gn CT. Tonight’s the deadline for the @PrismaXai Regional Ambassador Program. Applications close at 11:59 PM EDT, with limited spots in the first cohort selected from 1,000+ applications. If you’ve been waiting, today’s the day. Also, I recently shared a few possible ways applicants could improve their edge in the selection process. If you missed it, check the quoted post below. It might be useful before submissions close. Good luck to everyone applying 🤖🫶 ___________+__________ All the useful links for PrismaX- Discord - discord.gg/prismaxai Linktree- t.co/ipHnnMfn5Q
𝗤𝗨𝗔𝗡𝗧𝗨𝗠_ 🌬@0x_Quant69

3 ways to stand out as an applicant for the @PrismaXai Regional Ambassador Program. Even though I won’t be applying myself since I still feel my contributions are low at the moment, I think sharing these could help others improve their edge. A lot of people will apply. But only a few will actually stand out. Here are 3 things I think could make a real difference: 1. 𝗕𝗲𝗰𝗼𝗺𝗲 𝘁𝗵𝗲 𝗹𝗼𝗰𝗮𝗹 𝘃𝗼𝗶𝗰𝗲 𝗼𝗳 𝗣𝗿𝗶𝘀𝗺𝗮𝗫 Don’t just repost updates. > Explain PrismaX in your own region’s language, culture, and style. Why this stands out: Most communities grow when people feel understood locally. PrismaX already said ambassadors own regions and maintain local-language content. So, in essence: 🔹 Regional posts are part of the role 🔹 Local onboarding matters 🔹 Translating complex robotics ideas simply makes you valuable Simple example: Instead of posting teleoperation infrastructure, explain: Humans helping robots complete tasks remotely. That makes onboarding easier. 2. 𝗦𝗵𝗼𝘄 𝗿𝗲𝗮𝗹 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 𝗯𝗲𝗳𝗼𝗿𝗲 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 Many people appear only when rewards arrive. > The strongest ambassadors usually contribute before opportunities become public. Why this stands out: PrismaX specifically said they prioritize: • active Discord members • progression system contributors • helpful participation Your Consistency proves: 🔹 reliability 🔹 long-term interest 🔹 community understanding Simple examples: • Answer beginner questions • Join office hours regularly • Participate in discussions • Share useful summaries after events Small actions repeated often build reputation. 3. 𝗖𝗿𝗲𝗮𝘁𝗲 𝗲𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝗰𝗮𝗻 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘂𝘀𝗲 A lot of people make hype posts. > Very few make useful content. Why this stands out: PrismaX ambassadors are expected to create tutorials, walkthroughs, and educational content around teleoperation and robotics. Good educational content helps: 🔹 onboard new users 🔹 reduce confusion 🔹 grow the ecosystem faster Simple content ideas: • How PrismaX teleoperation works • What operators actually do • How robot training data improves AI • visual explainers and feedbacks • short videos • beginner threads If people learn from you consistently, you become hard to ignore. May the best applicant wins 🫶🤖 ___________+__________ All the useful links for PrismaX- Discord - discord.gg/prismaxai Linktree- t.co/ipHnnMfn5Q

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AureliaX
AureliaX@0xAurix·
@shiqway92 @PrismaXai the focus shift from single tools to full ecosystems does feel like an evolution 😌
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shiqway92
shiqway92@shiqway92·
A new era of AI-powered ecosystems is here. AI is no longer just a tool it’s becoming the foundation of digital innovation. @PrismaXai is building a future where AI meets decentralization, scalability, and community-driven growth. The future belongs to intelligent ecosystems
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VERSUS💢(❖,❖)
VERSUS💢(❖,❖)@andrey_versus·
On Thursday we had a cool AMA session where we discussed teleoperation, robotics and how PrizmaX is changing the future. We are growing, many people joined our AMA session and it was really hot. @PrismaXai
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AureliaX
AureliaX@0xAurix·
Went through Episode 1 of Doesn't Grasp, the new robotics / physical AI podcast sponsored by @PrismaXai 🦾 It covers robot painting, force control, old industrial arms, and the messy parts behind viral robot demos. Here are my favorite takeaways 🧵
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