MD RIFAT @RIFAT5666 - Twitter Profile

gPrisma fam! Another exciting week ahead with the @PrismaXai community! 🚀 🧠 Trivia Tango 📅 June 16, 02:30 AM UTC Topic: Standards for Data, looking forward to learning more as PrismaX gets closer to launch. 🎤 Fun Mode Karaoke 📅 June 18, 02:00 AM UTC Time to relax, have fun, and enjoy some great community vibes. 💪 Content Clinic 📅 June 19, 02:00 AM UTC Always a great opportunity to improve content skills and learn from fellow creators. Discord: https://t.co/ZB52ftWowz Excited for another week of learning, connecting, and growing together. See you all there! 🤖💙

RIFAT5666's tweet photo. gPrisma fam!

Another exciting week ahead with the @PrismaXai community! 🚀

🧠 Trivia Tango
📅 June 16, 02:30 AM UTC
Topic: Standards for Data, looking forward to learning more as PrismaX gets closer to launch.

🎤 Fun Mode Karaoke
📅 June 18, 02:00 AM UTC
Time to relax, have fun, and enjoy some great community vibes.

💪 Content Clinic
📅 June 19, 02:00 AM UTC
Always a great opportunity to improve content skills and learn from fellow creators.

Discord: https://t.co/ZB52ftWowz

Excited for another week of learning, connecting, and growing together. See you all there! 🤖💙

MD RIFAT

@RIFAT5666

2 days ago

■ @PrismaXai changed the way I think about robotics. A robot doesn’t become valuable simply because it can move. It becomes valuable when its actions are purposeful, its goals are clear, and its training is grounded in real-world experience. That’s where teleoperation plays a critical role. A human operator remotely guides the robot through real tasks, controlling its movements step by step. Every action, adjustment, and precise interaction becomes training data for Physical AI. What stands out to me is that PrismaX isn’t focused on collecting endless amounts of robot footage. The focus is on collecting high-quality data. The task needs to be clearly defined. The movements need to be consistent. The camera angle needs to capture useful information. And the robot shouldn’t repeat the same mistakes again and again, because AI models learn from everything they see → not just successful outcomes. That’s why human oversight remains so important. Validators review each session to determine whether the data meets the standard required for training future models. To me, PrismaX represents a practical connection between human expertise and machine intelligence: 𝗵𝘂𝗺𝗮𝗻𝘀 𝗴𝘂𝗶𝗱𝗲, 𝗿𝗼𝗯𝗼𝘁𝘀 𝗽𝗲𝗿𝗳𝗼𝗿𝗺, 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝘀, 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗔𝗜 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝗺𝗼𝗿𝗲 𝗰𝗮𝗽𝗮𝗯𝗹𝗲. That’s how Physical AI moves beyond controlled demonstrations and toward real-world reliability.