As can be read today in the news, the climate crisis is accelerating, demanding we cut energy consumption. However, Tech companies are launching incredibly power-hungry AI video generators. Here’s what’s so maddening!!! We already have a game-changing form of AI in LLMs. This technology is amazing because it's rooted in language, helping us structure and communicate knowledge with unprecedented conciseness. It's a tool for clarity. Yet, in my opinion, we are now pouring resources into an amoral race to the bottom—burning massive amounts of energy to perfect AI video, a tool whose primary use will be misinformation. We're choosing deception over knowledge. #AIEthics #LLM #TechPriorities #ClimateCrisis #Innovation

💡 “AI isn’t replacing people—it’s helping them get more done.” Shawn Lankton, CEO of EnergyCAP, shares how EnergyCAP utilizes AI to simplify complex utility workflows, eliminate repetitive tasks, and enable teams to focus on high-impact work. From bill auditing to forecasting and anomaly detection, AI is present in subtle yet powerful ways across our platform. The result? Less time wrestling with data—and more time acting on it. #EnergyCAP #WattsUpWednesday #AI #EnergyManagement

😳 AI is getting out of hand literally! Watch this wild clip of Stephen Hawking and crashing down doing a 360 on a skateboard ramp 🛹💥 But here’s the twist: it’s completely AI-generated. Thanks to tools like Sora 2 and Kling 2.5 Turbo, we’ve now reached a point where AI can recreate people, physics, and movement with near-perfect realism. Every frame, lighting, reflection, and camera angle feels cinematic and believable. What started as simple image generation has now evolved into full, dynamic video storytelling. We’re entering an era where your imagination can literally become footage. But it also raises a question: 👉 When AI can make anything look real… what happens to truth? 🔹 Follow AIPOOOL to Stay Ahead in the Race of Tech & AI 🚀 📩 Subscribe to our newsletter on LinkedIn 🔗 https://lnkd.in/gnUKzght #AI #Sora2 #KlingAI #OpenAI #Innovation #Deepfake #Technology #StephenHawking #Future #Reality #AIPOOOL #Tech

AI & Sustainability Thought 🌱 What if AI could help save the planet? From predicting crop health to optimizing energy, the fusion of AI + sustainability might define the future of our planet. It’s time to build AI that serves not just companies — but communities. #Sustainability #AI #GreenTech #Future #Innovation

Every day, headlines tell us what AI can now do “better, faster, cheaper.” Passing professional licensing exams in minutes. Writing code overnight. Running complex models no human could match. But in our rush to marvel at machines, we forget how many things humans still do far better: ➤ Touch: Each hand has ~17,000 mechanoreceptors, making touch one of the most complex sensing systems in biology—something robotics still struggles to mimic. ➤ Vision: Our eyes scan a space in milliseconds, instantly spotting what matters and what to ignore. Machines excel at clean data but falter in messy, ambiguous, real-world scenarios. ➤ Balance & Movement: From surfing to salsa dancing, humans adapt to unstable environments with dexterity and grace. Robots? Not so much. ➤ Smell & Taste: Machines can analyze molecules, but only humans tie them to memory, meaning, and emotion. ➤ Creativity: Storytelling, improvisation, aesthetic judgment—humans invent, adapt, and decide what feels right, even when no metric exists. ➤ Connection: Empathy, trust-building, moral judgment—our ability to care, to choose courage, and to decide not just what’s possible but what’s right. AI is coming down the path whether we like it or not. But as Rodney Brooks, the cofounder of iRobot, put it in Fortune, investors pouring billions into humanoid robots is “pure fantasy thinking.” Trying to recreate humans is the wrong goal. And as Sherry Turkle reminds us, digital “stand-ins” don’t just connect us—they divide us. Two decades of screens, social media, and a culture of “moving fast and breaking things” have reduced empathy, fractured our attention, weakened trust, and eroded the face-to-face connections we need most. Why repeat the same mistake with AI? While technology has always made people uneasy—even suspicious—it also holds the power to improve lives. What people crave most today isn’t more speed or efficiency, but more human connection, trust, and unity. Here’s to the AI company that chooses to address that need. #AI #HumanConnection #FutureOfWork #Technology #Leadership #DesignThinking #Innovation #Irreplaceable #Society

How can Generative AI help the power sector cut emissions and boost efficiency at the same time? ⚡ At Visionaize, we’re harnessing the power of Generative AI to revolutionize how energy is managed - optimizing performance, minimizing waste, and driving measurable carbon footprint reduction. From smarter energy distribution to real-time optimization, our AI-driven solutions are helping power producers transition toward a sustainable and resilient future. 🌱 Discover how: https://lnkd.in/dgNFFBpV #DecarbAI #EnergyManagement #Sustainability #Visionaize #CarbonFootprint #AI #PowerSector

𝐓𝐡𝐞𝐲 𝐬𝐚𝐢𝐝 𝐰𝐞 𝐰𝐞𝐫𝐞 𝐝𝐞𝐜𝐚𝐝𝐞𝐬 𝐚𝐰𝐚𝐲. But this is no simulation — this is the real world. At the Humanoid Olympics, the Unitree G1 isn’t just walking… It’s balancing, evaluating, and learning in real time. Each motion isn’t programmed — it’s calculated. It anticipates impact. Adjusts posture. Adapts on the fly. So when someone says “We’re still far from anything bad,” remember this moment. Because what you’re seeing now… isn’t science fiction. It’s the beginning of reactive intelligence. 📚 Learn more about the World Humanoid Robot Games: https://lnkd.in/e4v-_pzh #AI #HumanoidRobots #Unitree #FutureOfTech #Automation #ArtificialIntelligence #Innovation #TechnologyShift #MachineLearning

Wrapped Moonmax´s AI Advertising course. Beyond shipping a working ad in hours, the win was getting visibility into how GenAI interprets prompts, composes scenes, and where it fails. This can be applied to my space, AI in Manufacturing : Control strategy: clearer hard bounds, interlocks, and rate limits aligned to risk levels. Testable guardrails: RAG design, calibration checks, and kill switches tied to measurable criteria. Operational excellence: faster root-cause analysis and shift-level false-alarm targets based on golden datasets. Human-in-the-loop: decision points that map to operator workflows and governance. Execution: the same MLOps loop—prompt → output → critique → iterate—codified into pipelines. Since tech is evolving so fast , we need controlled and safety mechanism that endure. Kudos to the Moonmax team for the hands-on structure and industry context. Daniel Gordon https://www.moonmax.ai #GenerativeAI #Manufacturing #MLOps #AIControls #IndustrialAI #Quality #DataStrategy #Moonmax

Sometimes I pause and think about the scale of things we’re building in AI 🤔 Our human brain — this extraordinary organ runs on just 20 watts. That’s about 0.5 kWh per day, the energy of a dim light bulb. And when you zoom out, training a model like GPT-3 reportedly consumed over 1,200 MWh of electricity💡 (equivalent to the annual power use of ~120 US homes). It’s humbling to realize how nature has engineered efficiency that we’re still so far from matching. And at the same time, it’s inspiring to think about what’s possible if we align innovation with sustainability 🌍 source - https://lnkd.in/dB3A3j66 #AI #MachineLearning #ArtificialIntelligence #Sustainability #FutureOfAI #EnergyEfficiency #DeepLearning #Technology #AIethics #ClimateTech #Innovation

Context is everything. Without it, AI hallucinates, dashboards mislead, and decisions drift off-course. With it, data becomes insight, and insight becomes action. AI without context is like a pilot flying blind. Context engineering changes that. It’s about feeding systems the right data, at the right time, so AI can ground its answers in reality. That means pulling from live operations, customer interactions, and enterprise systems — not just static databases. With context, AI shifts from “impressive but risky” to useful, reliable, and business-critical. I sat down with Kai Waehner, Global Field CTO at Confluent, on the TEQ Shift podcast to explore why context matters so much — and how leaders across industries are designing for it. Data streaming keeps context alive in real time — milliseconds, not days. It bridges operational systems, AI models, and business workflows so you’re always acting on the latest truth. 👉 Listen to the episode on your favourite podcast platform — and discover how context can turn AI hype into real-world impact. #datastreaming #contextengineering #ai