Aspiring ML Scientist | Python + Data Automation | Building a tech career while learning in public
AI no longer lives just in servers 🧠 It’s stepping into the real world. 🤖 Embodied systems and agentic AI are the next frontier. We’ve talked about large models, reasoning capabilities, and modular architectures. But here’s what’s coming: AI with a body, senses, and agency. Agents that “see” a problem, “move” to solve it, “adapt” to the physical world. Take a few signals: - Gemini Robotics 1.5 lets robots perceive, plan, and act in new environments without domain-specific training. - Embodied AI isn’t just novelty any more; it’s research-ready, with surveys showing how world models, multi-modal sensors, simulation ↔ real-world transfer, and embodied agents are maturing. Why this matters for you (AI engineers, researchers, creators): - If you’re only building for text or vision, you’re cutting off half the world. Embodied systems add motion, touch, context, and real-world feedback. - Your learning path: once you’ve mastered model size + reasoning + architecture, the next layer is interaction + environment + physical grounding. - For your brand message (progress · play · purpose · peace), this is the play piece: building AI that moves and does, not just talks. - For product/design: Deployment of embodied AI introduces new challenges (hardware, sensors, ethics, safety, adaptation); mastering that gives you an edge. Question for you: What domain do you think embodied AI will hit first in scale and impact: manufacturing, healthcare, home automation… or something totally unexpected? 👇 #AI #EmbodiedIntelligence #AgenticAI
