Raven

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Raven

Raven

@ShinMidorima45

Content Creator @PrismaXai

Katılım Ocak 2025
1.1K Takip Edilen1.1K Takipçiler
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Yukihiro
Yukihiro@skrtttt_34·
Over the past five months with @PrismaXai, I want to share a piece of my heart through this journey. From the moment I became part of this community, I felt inspired, welcomed, and driven to create with purpose. I have gathered all of my contributions, and as a personal touch, the background music carries my own voice, offered with love and dedication to PrismaX. In this video, you will see my handmade artwork, sticker creations, infographic designs, and more. Each piece holds a story, not just of what I made, but of how much I have grown, learned, and poured myself into every detail. I am deeply grateful to be part of this journey, thank you for the support, inspiration, and trust that continue to push me forward every single day. Being here means more to me than words can fully express. I hope you feel the sincerity behind this video, Maam @vivianrobotics and Sir @MaxC16134. This is not just a compilation, it is my appreciation, my passion, and my love for the PrismaX community. Gprisma Everyone and i hope you like it everyone🤖
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Hermoine 24/7
Hermoine 24/7@TKuroko67·
Fun and Excitement I feel about this Trivia Tango that all about @PrismaXai in DC Community. I got almost 7.5k points, I got 8 correct answer. gPrisma Everyone more Trivia event to come. @vivianrobotics @MaxC16134
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Raven
Raven@ShinMidorima45·
Congrats to top 3 winners on Trivia Tango on @PrismaXai that all about on Robotics Ai on Prisma More Trivia event to come, Gprisma to all. @vivianrobotics
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weeee♡ P(x) 🦾🦿
weeee♡ P(x) 🦾🦿@dapretty_taurus·
We’re hosting our next AMA #6 focused on a topic that sits at the center of where everything is heading. "Future of Robotics" This session will take place on May 1, 2026, at 5:00 PM PHT in our @PrismaXai in our Philippines Discord voice channel. This is not just a general discussion about robots. It is a closer look at how systems are actually evolving and what is required for them to function outside controlled environments. Most people see robotics as something that should already be fully automated. But the reality is different. The biggest limitation today is not intelligence, it is exposure. Systems are often trained in clean, predictable setups. When placed in real environments, where objects shift, spaces are tight, and conditions change, performance drops. This is where teleoperation becomes necessary. Teleoperation allows a human to guide the system through situations it does not yet understand. But more importantly, it captures how those situations are handled. The way you approach an object, the adjustments you make when something feels off, the decision to slow down or reposition. These are not simple commands. They are context. And that context becomes data. Over time, repeated human actions across different environments create patterns. Those patterns are what allow systems to move from basic execution to real-world capability. Imagine a small repair workspace where tools are scattered, some partially hidden, some placed too close to each other. A robot trained in structured layouts might fail to pick the correct tool without disturbing others. Through teleoperation, a human naturally adjusts. You move surrounding objects slightly before reaching, change your grip depending on the tool, and act based on what you see in the moment. These actions are small, but they reflect real understanding. When captured and repeated, they become something the system can learn from. That is why this topic matters. The future of robotics is not just about building smarter machines. It is about building systems that can adapt to reality. And that starts with understanding how humans handle it. Join us in this AMA as we break down these ideas, share insights, and explore where this direction is heading. Join us tomorrow: Discord: discord.gg/QJpUdbha @vivianrobotics @MaxC16134 @shayebackus @castorhat @chynaqqq @PrismaXai 🩵
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Lea Nicole
Lea Nicole@LeaNicoleRosar1·
Most people approach teleoperation as if it’s just about finishing a task. Pick, move, place, done. But that’s not where the real value comes from. Every session is actually part of a learning loop. The system is not just observing outcomes, it’s learning from how you move. The way you approach an object, how steady your positioning is, how you recover when something goes wrong. All of that becomes training data. That’s why smooth control matters more than speed. If movements are rushed or inconsistent, the data becomes noisy. But when movements are controlled and intentional, the system starts to recognize patterns that can be repeated and improved. Even preparation plays a role. A stable connection, a clear view, and understanding the task before starting can completely change how clean your session becomes. A messy start usually leads to messy execution, and that reflects in the data as well. Mistakes are not something to avoid. They are part of the process. When you recover properly from a failed grip or a dropped object, you’re teaching the system how to handle failure in real conditions. That kind of data is often more valuable than a perfect run. Think about a small packaging station where items vary in size and shape. Some are fragile, some are tightly packed, and space is limited. A robot trained only on ideal conditions would struggle to handle this. Through teleoperation, a human operator naturally adjusts. You align carefully before lifting, apply just enough force, and create space before moving items out. These decisions are subtle, but they carry real understanding of the environment. Over time, those actions become repeatable patterns. And those patterns are what make systems more capable. Teleoperation is not just remote control. It’s how human precision becomes something machines can learn from and build on. Bullish on @PrismaXai and for what’s coming next! Want to learn more? you can visit: Discord: discord.gg/prismaxai Website: prismax.ai X (Twitter): x.com/prismaxai YouTube: @PrismaX-AI" target="_blank" rel="nofollow noopener">youtube.com/@PrismaX-AI Telegram: t.me/PrismaX_News
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weeee♡ P(x) 🦾🦿
weeee♡ P(x) 🦾🦿@dapretty_taurus·
We recently held another AMA in the PH channel, this time focused on Content Originality in @PrismaXai, and it was honestly one of the most important sessions we’ve had so far. Instead of just going through rules, we took time to explain what originality really means in this space. Not just avoiding copying, but actually understanding what you’re sharing and making sure it reflects your own thinking and effort. We discussed what is allowed, what is not, and how to properly give credit when needed. One thing we emphasized is that changing a few words is not the same as creating something original. The structure, the idea, and the thought process should come from you. We also talked about why this matters. Content in Prisma is not just for posting. It helps others learn, understand, and navigate the ecosystem. If content is not original, it creates confusion and removes value from the community. Another important point we highlighted is how we communicate. We also explained the proper process when issues happen. From warnings to corrections, and why these steps exist not to punish, but to guide and protect both creators and the community. We also added a dedicated slide about teleoperation to connect how learning works not just in content, but in the system itself. Teleoperation is not just about controlling a robot. It is about how human decisions become something a system can learn from. Every adjustment, every pause, every correction carries intent. That intent becomes data. We shared a real-world scenario during the session to make this clearer. Think about a small neighborhood water delivery setup where large gallon containers are stacked unevenly on a narrow metal rack. Some containers are slightly dented, some are wet, and some are placed at unstable angles. A robot trained in a clean and fixed environment might try to grab straight and end up slipping or knocking other containers over. With teleoperation, a human operator approaches it differently. You adjust your grip based on the shape of the container. You tilt slightly before lifting to avoid hitting the rack. You slow down because the surface is wet and unstable. Those actions are not pre-programmed. They come from awareness of the situation. When repeated, those actions become patterns. And those patterns become something the system can learn from over time. That is why we included that part in the AMA. To show that learning in Prisma is not just about rules or content, but about understanding how real-world behavior translates into improvement. What made the session meaningful is how engaged everyone was. Members stayed, listened, asked questions, and understood why originality is not just a rule, but a responsibility. Because at the end of the day, originality is what builds trust, and trust is what keeps a community strong. Appreciate everyone who joined and supported the session. This is the kind of conversation that helps the community grow in the right direction. Learn more: Website: prismax.ai X (Twitter): x.com/prismaxai YouTube: @PrismaX-AI" target="_blank" rel="nofollow noopener">youtube.com/@PrismaX-AI Telegram: t.me/PrismaX_News Discord: discord.gg/prismaxai @vivianrobotics @MaxC16134 @castorhat @shayebackus @chynaqqq ✨🫶🏼 Video presentation below 👇🏼
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Concrete
Concrete@ConcreteXYZ·
X/ When you see 45% APY, you might need to think twice. After costs, most DeFi positions return a fraction of what’s advertised. Here are 7 hidden drags on your yield.
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AugieDrip🌟
AugieDrip🌟@AugustineObiaku·
Just secured the Access role on @ConcreteXYZ after multiple rejections. Big thanks to @Voxmek for the nomination and @ox_elfawzan for the guidance. Concrete: Access Role Fhenix: Redact Masters Open Gradient: OG (TGE done ✅) All within 3 months. Consistency really pays off.
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¥INKID 🟦🌐
¥INKID 🟦🌐@YinkidWeb·
So I got my article finally approved, and got my 1k bags. That way, I rose back to where I wanted to be on the LB. Let's do more this week 🗿🌄
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Timity🗿
Timity🗿@Timityy_XO·
Today I built my Fourth (4th) game for @ConcreteXYZ community, This game is called "MOAI JUMP" it is quite challenging but entertaining. The game is built specially for Concrete community and Concrete amazing team to play and enjoy when stressed. Moai-jump.vercel.app
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¥INKID 🟦🌐
¥INKID 🟦🌐@YinkidWeb·
130k family. This house you know a project with true believers and not bots. Gmcrete 🌄
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Jillian
Jillian@JTrinidad2001·
What stood out to me about RoboHacks in @PrismaXai is not just the scale, but the environment it creates. When you bring together real robots, builders, time pressure, something shifts. It stops being about perfect execution and becomes about figuring things out in real time. 🧵
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