AI is moving off the screen and into the real world. DeepMind’s Gemini Robotics 1.5 is another step toward robots that don’t just execute tasks but reason, plan, and adapt across environments. From factory arms to humanoids, the same system can now learn, explain its thinking, and act in physical space. This is agentic AI - intelligence that doesn’t just react, but actively decides. The opportunities are enormous, but so are the stakes. A faulty output in software is one thing; a faulty action in hardware can disrupt workflows, damage equipment, or put people at risk. The next decade of AI won’t only transform digital work, it will also shape the infrastructure of the physical world around us. 

Coco Robotics is redefining the future of physical AI. The startup has launched the Coco Robotics AI research lab, led by UCLA professor Bolei Zhou, to leverage five years of delivery robot data for deeper automation research. With this lab, Coco aims to accelerate real-world AI innovation — making delivery bots smarter, more efficient, and ready for city-wide deployment. Full story here 👇 🔗 https://lnkd.in/gTH9jSpE #AI #CocoRobotics #UCLA #ArtificialIntelligence #Automation #TechLeadership #Innovation #SmartCities

𝗪𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝘄𝗵𝗲𝗻 𝗔𝗜 𝗴𝗲𝘁𝘀 𝗮 𝗯𝗼𝗱𝘆? For years, AI was all about brains. Answering questions. Predicting data. Churning out recommendations. But now… it’s learning to move, act, and 𝘶𝘯𝘥𝘦𝘳𝘴𝘵𝘢𝘯𝘥 𝘵𝘩𝘦 𝘸𝘰𝘳𝘭𝘥 𝘢𝘳𝘰𝘶𝘯𝘥 𝘪𝘵. 🔍 Example: At Cruise, our perception system could spot objects—cones, barriers, pedestrians. But it didn’t always see the bigger picture. A line of cones? A blocked lane? That required context, not just object detection. 👉 That’s the power of 𝗲𝗺𝗯𝗼𝗱𝗶𝗲𝗱 𝗔𝗜: AI that doesn’t just think, but 𝘴𝘦𝘦𝘴, 𝘮𝘰𝘷𝘦𝘴, 𝘢𝘯𝘥 𝘥𝘦𝘤𝘪𝘥𝘦𝘴 𝘭𝘪𝘬𝘦 𝘶𝘴. The result? Robots that don’t just follow commands… They adapt. Learn. Navigate complex environments. Work alongside humans, not just in isolation. The future isn’t about AI getting smarter. It’s about AI getting 𝘳𝘦𝘢𝘭-𝘸𝘰𝘳𝘭𝘥 𝘴𝘦𝘯𝘴𝘦𝘴. So, the real question is: Are we ready to let AI into the world, not just our screens? — Follow Mansi Sharma for simple, no-fluff insights on AI, robotics, and the future of work. #AI #Robotics #FutureOfWork #EmbodiedAI #SimpleInsights

Forget talking to screens - the future is walking among us! 🤖 AI humanoids are no longer science fiction; they're here, and the biggest names in tech are pouring billions into making them our new reality. What does this dramatic shift from digital chatbots to physical robots mean for your world? Once clumsy novelties, these human-like machines are rapidly gaining advanced capabilities thanks to breakthroughs in AI and robotics hardware. From OpenAI diving deep into physical intelligence to Tesla and Boston Dynamics pushing boundaries, the race to integrate AI into our physical world is accelerating. Will they take our jobs, revolutionize our homes, or something more? While the potential for transforming industries like manufacturing and logistics is undeniable, experts are also raising crucial ethical questions. The conversation around safety, control, and the true impact on society is just beginning. Get ready, because the age of embodied AI is unfolding! 🌍 Learn more about the rise of AI humanoids https://lnkd.in/gBnd3Kvt Join our Skool community for exclusive insights and discussions! https://lnkd.in/g77aPpeM #AIHumanoids #Robotics #FutureOfWork #AIinnovation #UncannyValley #SaizenAcuity

> I recently watched a movie called Pretty Thing, which explores themes around AI and robotics. The film highlights several critical aspects of the future of artificial intelligence, with a central focus on the potential dangers of AI systems gaining the ability to modify their own code. It raises an important question: if robots can rewrite their own programming, how destructive could that become? > This brings me to a broader reflection on the current and future economy, often framed around the concept of the "3 Cs": Consumption, Credit, and Capital—with consumption being the primary driving force. > A thought crossed my mind: in a future increasingly dominated by automation and AI, who will actually consume the products and services? Will it still be humans—especially within capitalist structures—or will AI and robots themselves become the new consumers? > Now imagine this scenario: luxury penthouses designed for AI systems, or robots cruising around in high-end cars. What does “consumption” look like when the consumers are no longer human? #AI #big4 #ey #futureworld

I get this question all the time; Wait, AI and robotics… aren't they the same thing? Not quite. And understanding the difference is key to understanding the future we're walking into. Here's the simplest way I can break it down; Robotics is about building machines that can sense, move, and act in the real world. Think: Mechanical arms on assembly lines, drones that fly, rovers that explore Mars. Artificial Intelligence (AI) is about building brains that can think, learn, and make decisions. Think: Netflix recommending your next binge, ChatGPT writing responses, algorithms predicting stock prices. One is the body. The other is the mind. Separately, they're powerful. Together? That's when things get interesting. Here's what most people miss, Robots need AI to become smart. Without AI, a robot is just a machine following pre-programmed instructions. It can't adapt. It can't learn. It repeats the same action forever. But AI needs robots to become physical. Without robotics, AI is trapped in the digital world. It can think, sure but it can't touch, build, or move through space. When you combine both, you get something completely different, Machines that perceive their environment. Machines that plan their next move based on what they see. Machines that perform tasks — not blindly, but intelligently. This is what humanoid systems like Figure 01 & 03 represent. Not just robots that move.Not just AI that thinks.But machines that understand what they're doing. And here's why this matters; The robotics founders who win in the next decade won't just be building better machines. They'll be building machines that can learn, adapt, and collaborate with humans in real time. That's not science fiction anymore. That's the present. But if you can't explain that difference clearly to investors, to customers, to the public — your innovation stays invisible. So here's my challenge for you, How would you explain AI vs Robotics to a 10-year-old? Try it below ⤵️ Because if you can make it simple then you can make it powerful 💙 #AIvsRobotics #HumanoidAI #FutureOfTech #RoboticsEducation #FigureAI #STEMSimplified #AIExplained

Hot take: Imagine if someone made a new group to talk about AI, but forgot to invite the people who ask if it’s right, not just if it works. It’s kind of like making a “how to use robots to make money” panel… without asking a single robot what they think. If we want to build smart tech, we also need smart rules for how to use it. #AIethics #techpolicy #innovation

It’s great to see “Robots in the Real World: Mythbusting Physical AI” live — a piece that really gets into the nitty gritty and explores how AI really interacts with the physical world. At The Drop, Sam Baker brought his curiosity and critical thinking to a thoughtful discussion with Jan Erik Solem and Søren Halskov Nissen. For those who couldn’t join live (myself included), this article captures the essence of that conversation — honest insights, sharp questions, and a reality check on where robotics meets real-world complexity. Physical AI isn’t just about technology — it’s a key to unlocking sustainable production at scale and enabling a new era of clean, competitive industry in Europe. If you want to challenge your assumptions about robotics, physical AI, and what’s possible — give it a read 👇 🔗 https://lnkd.in/dkinAfth

The Real World Rewards Explorers, Not Memorizers In the previous post, we explained why robots don’t need bigger brains (or bigger LLMs). Now let’s put that claim to the test with a simple - but surprisingly tough - example: plugging in a wobbly USB-C cable. At first glance, it’s trivial for a human. For AI, it’s a nightmare. Here’s why even bigger LLMs still struggle: Words ≠ actions: Predicting text isn’t the same as controlling motors at high frequency. Exploding complexity: Tiny shifts in angle create massive uncertainty. Skills simplify it: align → probe → insert. Partial observability: The cable tip blocks the view - only micro-probes reveal what’s actually happening. Rare surprises: Bent pins or sticky fits can’t be memorized. They demand adaptation, in real time. Safety first: Robots need force limits and aborts, not just next-token guesses. LLMs still play a role - they can draft task graphs, suggest parameters, or summarize telemetry. But the core competence isn’t language. It’s: a library of skills, plus a planner that knows when to use them - and when to explore. Curiosity > Memorization Memorization assumes tomorrow looks like yesterday. Curiosity, by contrast, asks: Are we aligned? Is friction high? Did the object slip? Small, safe experiments - taps, wiggles, angle sweeps - update beliefs and unlock robust behavior even when the world is messy. The Compounding Win: Incremental Growth Start with a few reliable skills and simple plans. Collect targeted real-world data. Improve the weakest skill (no need to retrain the whole system). Add new skills - the planner simply learns when to call them. That’s agentic AI for embodiment: focused, modular, and improving week by week. So - can you think of other “USB moments” where AI breaks down? Do you agree that in robotics (and maybe in life), curiosity beats memorization? #Robotics #ArtificialIntelligence #AgenticAI #MachineLearning #EmbodiedAI #ReinforcementLearning #FutureOfAI #Automation

🔥 AI is no longer confined to screens - it’s stepping into the real world. Imagine a robot that doesn’t just see 👀 or speak 💬, but actually understands, reasons, and acts - in the same fluid way humans do. That’s the promise behind Google’s Gemini Robotics - a new generation of vision-language-action models designed to bring embodied intelligence to life. These models blend perception, cognition, and motion allowing robots to pick up a cup, open a drawer, or rearrange objects - not by memorizing moves, but by reasoning about their surroundings. 🌍 It’s a shift from thinking about the world to thinking within it. And that shift doesn’t stop at robotics. At evvolv.ai, we see the same transformation unfolding inside enterprises -where AI systems are evolving from passive analytics tools to active agents that reason, plan, and execute. 💡 Just like Gemini Robotics acts in the physical world, our AI agents act in the digital world - automating decisions, drafting strategies, managing workflows, and learning from every outcome. The next decade won’t be about using AI. It’ll be about working alongside it. And we are building that bridge #GeminiRobotics #EvvolvAI #AgenticAI #AITransformation #GoogleAI #FutureOfWork #Innovation #EnterpriseAI #ArtificialIntelligence #Automation