Donya

gPrisma fam ฅ^.ˬ.^ฅ 𝗣𝗿𝗶𝘀𝗺𝗮𝗫: 𝗢𝗻𝗲 𝗬𝗲𝗮𝗿 𝗼𝗳 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗣𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗔𝗜 🔸In this article, i summarize Bayley’s latest Monthly Memo on Substack. It covers @PrismaXai progress over the past year, the importance of data quality in robotics, and what’s coming next. The goal is to give you a clear and simple understanding of where the project stands and why it matters for the future of Physical AI. 🔸One year ago, @PrismaXai emerged with a clear mission: bridge humans, robots, and high-quality data to advance physical intelligence. In his latest Monthly Memo, co-founder Bayley Wang reflects on the progress and the road ahead. 🔹𝗙𝗿𝗼𝗺 𝗧𝗲𝗹𝗲𝗼𝗽 𝘁𝗼 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆-𝗗𝗿𝗶𝘃𝗲𝗻 𝗗𝗮𝘁𝗮 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 In the past 12 months, PrismaX moved from launching its teleoperation platform to opening Verify Quality a system where the community can score real robot training data for the first time. The core insight? Robotics is not limited by hardware anymore. Good robots exist. The real bottleneck is high-quality data. 🔹 𝗪𝗵𝘆 𝗗𝗮𝘁𝗮 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗠𝗮𝘁𝘁𝗲𝗿𝘀 Most available robotics datasets suffer from repetition, low smoothness, poor lighting, or inconsistent execution. @PrismaXai introduced clear Standards for Data to solve this: - Speed: Movements close to human speed - Smoothness: Clean, confident trajectories without stutters - Diversity: Varied ways to complete the same task - Clean Execution: Small mistakes that are quickly recovered from 🔹𝗧𝗵𝗲 𝗙𝗶𝗿𝘀𝘁 𝟭𝟬𝟬 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗼𝗿𝘀 𝗖𝗮𝗺𝗽𝗮𝗶𝗴𝗻 To scale this vision, @PrismaXai launched the The First 100 Validators campaign on Galxe. Participants score real robot sessions, earn Prisma Points, and compete for founding validator roles. This is more than a points system it’s how the community helps set the quality standard for the entire industry. 🔹 𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗔𝗵𝗲𝗮𝗱 Bayley highlights several exciting directions: - Combining video data with teleoperation for richer training - Developing “Standards for Embodiments” for hardware consistency - Moving toward real-world revenue-generating robots within the next 15 months The message is clear: Physical AI’s future depends on high-quality, human-validated data. @PrismaXai is building the open layer that makes that possible. The standard starts with the community.

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i've been exploring @PheasantNetwork and what caught my attention is the focus on making cross chain interactions feel much more intuitive. instead of jumping between different tools for bridging and swapping, the goal is to create a smoother experience where moving assets across ecosystems becomes simple and efficient. as more users expand across ethereum, base, arbitrum and other networks, interoperability is becoming one of the most important pieces of web3 infrastructure. i'm always more interested in products that solve real usability challenges than those built around short term hype. i'm looking forward to seeing how the ecosystem continues to evolve around $PNT. bzz.link.chaingpt.org/c092eef4 #PheasantNetwork