Perle Labs CEO Ahmed Rashad on Why AI Needs Verifiable Data Infrastructure AI agents dominated ETHDenver 2026, from autonomous finance to on-chain robotics. But as enthusiasm around “agentic economies” builds, a harder question is emerging: can institutions prove what their AI systems were trained on? BeInCrypto spoke with Ahmed Rashad, Founder & CEO of Perle, on the sidelines of ETHDenver 2026 Rashad previously held an operational leadership role at Scale AI during its hypergrowth phase. In the conversation, he discussed data provenance, model collapse, adversarial risks and why he believes sovereign intelligence will become a prerequisite for deploying AI in critical systems. Read the full interview: https://lnkd.in/dDV_UzxM
AI Data Infrastructure: Ahmed Rashad on Verifiable Training Data
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🤖 Meet Aria: The Lifelike Face of the New Trading Floor. Infinity AI has unveiled its latest breakthrough, an AI robot system named "Aria." Engineered with fluid motions and advanced eye-tracking technology, Aria is designed to sit alongside human traders on financial floors. Its mission is to "democratize access" to advanced trading tools by acting as a cyber-companion that can synthesize market data and sentiment in real-time. As robots like Aria become more capable and lifelike, they are sparking urgent debates about the nature of "human connection" in the workplace. Whether Aria is seen as a valuable teaching assistant or a high-tech interloper, its debut marks a new chapter in the integration of physical AI into the world of high-stakes finance. #Robotics #FinTech #AI #Aria #FutureOfFinance #AIFreakyFacts
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Understanding Physical AI Impacts in Industry 🌟 #PhysicalAI isn’t just a tech upgrade. It’s an industrial shift. From logistics to manufacturing, the real impact won’t come from bigger models, it’ll come from systems that learn in the real world. This is where #robotics stops being experimental and starts becoming operational. Thank you Pedro Milcent and Jesica Chavez 🤖🎙️ for such a powerful conversation on the future of robotics and Physical AI. Watch the full conversation now. 🎧 Listen on Spotify: https://lnkd.in/eNKZr6Bz 📺 Watch on YouTube: https://lnkd.in/eHaxGEWw #Automation #DeepTech #RoboticsMarketing
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No corner of enterprise technology is untouched by AI, as it shapes decisions on everything from computing hardware to robotics. In Deloitte Insights' #TechTrends2026, five trends reveal how successful organizations are moving from AI experimentation to impact.
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As Google integrates its AI robotics venture, Intrinsic, into core operations, will this move into physical AI raise ethical red flags? How will Google and IBM navigate these complex #AIRobotics and #Ethics discussions? #CorporateStrategy #Innovation
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Humanoid Multimodality: The Path to Superintelligence This brief video suggests the journey toward artificial superintelligence (ASI) relies on embodied cognition, where AI moves beyond data centers to interact directly with the physical world. By integrating humanoid robotics with multimodal AI, machines can synthesize sight, touch, and sound into a "polyphonic" understanding of reality that far exceeds the capabilities of text-based LLM models. Key technological breakthroughs, such as neuro-symbolic AI and vision-language-action models, allow robots like Tesla’s Optimus and Google’s RT-2 to translate abstract reasoning into complex physical maneuvers. These sources highlight a critical shift toward recursive self-improvement, where AI systems begin to refine their own code and learn through collective experiences across robotic fleets and Digital Twins. Ultimately, spatial intelligence and grounded interaction provide the necessary foundation for machines to achieve genuine understanding and a human-like grasp of causality. This evolution signals a future where intelligence is defined not by pure computation, but by a sophisticated, sensory orchestration within our living environment.
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Mark Cuban says he's not worried about AI doom scenarios related to robotics because AI "doesn't understand the consequences of its recommendations": "Right now, LLMs are basically bimodal: it’s almost all text and pictures, with some video. You can’t model the world with that." "AI, right now, doesn't understand the consequences of its recommendations. It has no idea what happens next. A 2-year-old in a highchair and a sippy cup knows if it pushes the sippy cup off the highchair, mom's coming running, and the kid's going to start laughing at mom. LLMs don't understand [that]." "So we have to evolve to models that can capture the world and physics, and deal with the latency of not having access to video that you can't see — you have to try to model that. And not only does that take up a lot of processing power, but it takes up a lot of bandwidth." "And so the Terminators taking over, I just don’t see how it’s going to happen."
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🤖 What a wednesday morning at our AI Workshop in Dresden! This week, we brought together curious minds for our workshop "AI in Business: Recognizing Potential and Making Targeted Use of It" A huge thank you to Alexander Greif (datom GmbH), who made Agentic AI genuinely understandable and immediately applicable. He didn't just explain the landscape of AI tools in a clear and practical way, he also showed us live how an AI agent actually works in practice: imagine a chat agent that doesn't just answer generic questions, but actively reasons over your own company data, takes autonomous steps, and delivers targeted results. Seeing it in action made the concept click for everyone in the room. A heartfelt thank you to SAW COMPONENTS Dresden GmbH & Frieder Birkholz for generously hosting us at their impressive facility, and for giving us exclusive insights into their cleanroom. It was a powerful reminder of the precision and innovation that define our region's manufacturing excellence. Workshops like this are exactly why Robot Valley exists: bringing together curious minds, practical expertise, and the right partners to make AI tangible for SMEs in Saxony. Stay tuned. More events like this are coming! 🚀 This event is hosted in collaboration with Robotics Saxony. #EDIH #robotics #KI
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2026 will be a “pivot year” for the world. Robotic companies are now harnessing AI to tackle challenges in many sectors that are experiencing labor constraints in jobs that are dull, dirty or dangerous. A great morning of learning at Abundance360
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What a time to be doing business! AI Boom is one of the most exciting ever and fundamental to build the infrastructure needed for the demand. I think that the demand is extremely difficult to calculate especially if you have not reviewed all of the variable. The compute and data storage needed to innovate AI and to use AI is very high, especially once robotics evolve.
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DD Thoughts on AI: At some point, we have to acknowledge that work is more than PowerPoints and PDFs. That physical goods must be made, tested and distributed. AI in robotics, got you, but let's be serious, Claude/ChatGPT/Gemini building your financial model is more an item on your to-do list than a disruptive force for change. When Claude/ChatGPT/Gemini can physically login as me, pull data as me and send emails on my behalf with a few clicks for the low-low price of $50 a month, then let's start rolling out the MasterClasses.
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