Violet sky

58 posts

Violet sky

Violet sky

@Violet_crypto_

Exploring Web3, AI & Physical Intelligence PrismaX Contributor | Building the future of robotics 🤖🧠⚡

Beigetreten Haziran 2026
68 Folgt36 Follower
Violet sky
Violet sky@Violet_crypto_·
SoSoValue@SoSoValueCrypto

SoSoValue Flash: Severe Geopolitical Reignited, CPI Holds Steady, Heavy Capex Warnings Trigger Tech Volatility 💥 Core Catalyst: The Middle East situation has sharply re-escalated. Dissatisfied with slow talks, Trump threatened to target Iran's power plants and bridges if a deal isn't signed. Following the downing of a U.S. Apache helicopter, the U.S. launched nearly 4 hours of retaliatory airstrikes, claiming Iran's control capability in the strait was eliminated (which Iran denies). In response, Iran issued stern warnings and the Strait of Hormuz has been fully closed. Iran fired dozens of ballistic missiles and drones at 21 key strategic Gulf targets, including a U.S. base in Jordan. 🔍 Key Logic Shifts: 1️⃣ Macro Risks: Trump's hawkish military threats have fundamentally disrupted the market’s prior baseline assumption that he would avoid reopening active hostilities. However, the macro front received some insulation as the May CPI print arrived broadly in line (with core slightly below expectations). Feared second-round effects from oil pass-through, World Cup distortions, and endogenous inflation failed to materialize. 2️⃣ Liquidity Drain: U.S. equities remain locked in a tug-of-war between macro anxiety and secular AI momentum. On the capital front, the ongoing SpaceX IPO continues to absorb significant institutional liquidity. The trading desk notes a broader decline in secondary market depth, which is amplifying short-term volatility across major indices. 3️⃣ Capex Concerns: AI momentum continues to consolidate at elevated levels during a post-ComputeX catalyst vacuum. While Oracle's post-close earnings and guidance matched consensus, its massive $40 billion equity and debt fundraising blueprint for the next fiscal year reignited fierce market anxieties over over-extended capex. Shares plunged 11% after-hours, acting as a direct drag on tech sentiment. 📊 Trade Setup (SoDEX Assets to Watch): Core: $USTECH-100 | $CL (Crude) | $XAUT | $BTC MAG7: $NVDA | $AMZN | $GOOGL | $META | $MSFT | $TSLA | $AAPL AI Hardware: $SNDK | $MU | $AMD | $INTC | $TSM

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sara
sara@oxsarasn·
Powerful AI systems are born from high-quality data. Every correct example brings us one step closer to a smarter future. @PrismaXai @vivianrobotics @MaxC16134
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Violet sky
Violet sky@Violet_crypto_·
How robots actually learn from humans ​@Prismax_AI is building a crazy bridge between human actions and physical AI. Every single teleop movement is teaching these bots how to handle the real world ​Future is happening fast ​@PrismaX @vivianrobotics @MaxC16134
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Jimboo
Jimboo@0xjimboo·
AI learned the internet first Now it needs to learn the physical world That is a much harder game Robots need motion data Human guidance Real tasks Real mistakes @PrismaXai is building around that missing layer
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mahsun
mahsun@MJahangirifard·
One interesting topic about PrismaX is how it solves the "data problem" for robot training. Many companies want to build smart robots that can work in the real world, like helping in homes or factories. But good training data is very hard to get. Robots need to see thousands of examples of real human actionsو for example, how to fold clothes, pick up objects, or cook simple meals. @PrismaXai's cool idea: It creates an open network where normal people can become "teleoperators." They control real robots from their computers and do everyday tasks. While they work, the robots record high-quality video and sensor data. This data is then used to train better AI models for physical robots. @vivianrobotics @MaxC16134 @shayebackus
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PrismaX
PrismaX@PrismaXai·
Will Ohio be the centerfold of the robot mecha revolution? @castorhat and Dane argue that the future of robotics might not be in SF or Boston. It might be wherever warehouse space is cheap 👇
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rira.lens(🌸, 🌿)base.eth
After several days of editing, countless revisions, and bringing every detail together, it's finally finished. 📽️🎞️ I imagined a PrismaX concert where characters take the stage to rap about the project, while a robotic hand works behind the scenes producing the beat and driving the performance🎙️🤖🦾 This video is my creative interpretation of a future where technology, creativity, and collaboration come together where robots, data, and humans work side by side to advance physical AI. PrismaX The service layer for physical AI ⚡️ @PrismaXai @vivianrobotics @MaxC16134
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Amir0446
Amir0446@amir0446·
We talk a lot about models, compute, and benchmarks. But intelligence isn't measured by what a system knows. It's measured by how well it adapts when reality doesn't match expectations. @PrismaXai
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KBI (❖,❖) 🚣‍♂️
Today's robots are trained in labs. Tomorrow's robots will learn from reality. That's the shift @PrismaXai is making possible through open teleoperation and shared real world intelligence. gPrismaX
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shirini
shirini@AmberShiroo·
Tonight, the Persian community came together for a @PrismaXai event on Discord and the energy was absolutely electric. 🔥 This is what an active, passionate community looks like. We organize, we show up, and we genuinely believe in what's being built. Massive thanks to every single member who joined tonight you made this special. 🙏 The Persian community doesn't just follow the journey we're part of it🌟 @vivianrobotics @shayebackus @MaxC16134
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KiashaA♥︎base.eth
KiashaA♥︎base.eth@KiashaABnb·
gprisma♥︎ 1/ Strange idea: Maybe the future of robotics won’t be built by perfect robots. But by imperfect ones learning, failing, adapting, and slowly teaching the next generation of machines. 🦾 @PrismaXai
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KiashaA♥︎base.eth@KiashaABnb

gprisma♥︎ 1/ People think robots are built. Maybe they’re taught. Every movement. Every correction. Every failed attempt. Like an artist learning stroke by stroke, robots learn through repetition, mistakes, and real-world experience. 🦾 @PrismaXai

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𝐌𝐚𝐫𝐙𝐢𝐢
𝐌𝐚𝐫𝐙𝐢𝐢@MarziehF48112·
We usually talk about robotics as if the challenge is building smarter machines. But in reality, the harder problem is making the physical world readable to intelligence. Because the world is not clean data. It’s messy, inconsistent, and full of edge cases no simulation can fully capture. That’s why real progress in Physical AI doesn’t come from models alone. It comes from systems that can: observe human intention translate action into structure and turn real-world interaction into something learnable @PrismaXai sits in that space — between intention and execution, where intelligence is shaped by reality itself. Not just automation. But continuous learning from the physical world
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𝐌𝐚𝐫𝐙𝐢𝐢@MarziehF48112

gPrisma🔥 For years, AI learned from text, images, and code. The next leap happens when intelligence starts learning from the physical world. Every movement. Every correction. Every interaction. Captured, structured, and transformed into data that machines can learn from. That’s what makes the future of robotics so fascinating. And it’s why projects like @PrismaXai are focused on the layer between human experience and machine intelligence.

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