
Why can AI write a symphony but fail to carry a tray? 🤖 In this episode, Shailendraa Kumar explores the new "Action-bot" revolution combining LLMs with fluid-driven muscles for physical safety. Learn how "Physical Intelligence" is changing the future of work and robotics forever. 🚀 Join the debate on electric versus hydraulic power and share your thoughts in the comments! 👇
Transcript
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You are listening to AI with Shelly. I'm your host Shailendra Kumar. Have you ever wondered why your AI can write a beautiful symphony but still can't safely carry a tray of drinks across a crowded room? Well, as of today, August 2nd, 2026, that's about to change.
The big talk across LinkedIn and X today isn't about a new chatbot. It's about the Action Bot. A groundbreaking review in the International Journal of Hydromechatronics is going viral because it introduces what engineers are calling the Holy Trinity of Robotics.
It works like this. The LLM acts as the brain for planning. A structured knowledge layer acts as the rulebook for safety. And hydromechatronics or fluid-driven muscles provide the raw power.
Think of it as giving AI a physical conscience. For years we have worried about AI hallucinating facts. But in the physical world a hallucination isn't just a wrong answer. It's a robot walking through a wall. This new architecture creates a safety buffer that says, I know the AI asked me to swing this hammer
but the physics rules say there's glass in the way. I remember back when I was writing my first book on ai we dreamt of embodied intelligence back then it felt like science fiction but seeing a warehouse firm today report a 30 drop in energy use just by switching to these knowledge guided systems that's not fiction that's a revolution in how we build things
But here is the real kicker sparking debates on X. Do robots need batteries or fluids? While Tesla's Optimus is electric, the consensus today is shifting toward hydraulics for heavy-duty work like construction. As one viral meme put it, needs more muscle, less LLM fluff.
Here's your bonus tip for today. If you are looking to future-proof your career, don't just study code. Start exploring physical intelligence or Pi. The next generation of AI engineers will need to understand fluid dynamics
just as well as they understand neural networks. As the saying goes, an LLM can write a poem about a hammer, but it takes structured logic to know exactly how much pressure will shatter the glass. I'd love to hear your take.
Are you team electric or team hydraulic for the future of robots? Drop a comment on my LinkedIn, X or YouTube and let's discuss. You can also find my latest deep dives on Medium. I'm Shailenzo Kumar and this has been AI with Shelly.
Until next time, keep building but keep it real.
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