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Hi, I am Kee. Before I became a teacher, I worked as an interpreter, serving high-profile

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clients including the Backstreet Boys. I was also an event planner, hosting hundreds

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of parties for English learners across Chengdu. Over the years, I worked my way up to

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become an expert in English teacher, as well as an EdTech solopreneur, which is really

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just a fancy word for a one-person company. So I worked for this AI native dictionary

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service called DynaSaurus, which actually I've read codehead by myself. So I've spent

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years mastering the mechanics of language, but not too long ago, I found myself standing

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in a crowded language training classroom right here in Chengdu. The Air Conditioner was

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humming. The fluorescent lights were buzzing, casting this dull, sterile glow over everything,

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and I was actually quite exhausted. I was looking out at a sea of students who were desperately

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trying to memorize vocabulary lists, and grammar rules just to pass them standardized tests,

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they were stressed out, and I was burned out. We were all trapped in what I call the information

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cocoon. And in this cocoon, the dynamic is simple, but deeply flawed. The student is a passive

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consumer, and the teacher, me, is an ultimate bottleneck of knowledge. My job was to stand at

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the front of the room, memorize the textbook, and then the last name, after that, pull that

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data into my students' hands. So in the past, the information gap was incredibly difficult

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to fail, which is why that system worked for centuries. But today, we are drowning in data

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and yet we are starving for actual understanding. And then, the paradigm shifted, artificial intelligence

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arrived, tools like Gemini, hit the mainstream, and suddenly, the entire education industry

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actually panicked. School managers were terrified of cheating, teachers were terrified of

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obsolescence. And honestly, for brief moment, I was terrified too. Here comes a machine that could

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generate essays, solve complex equations, and translate languages in milliseconds. It was a faster,

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smarter, infinitely more patient content provider. If an AI could do all of that, then what was

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my purpose? Why was I standing at the front of the room? But that fear quickly turned into an epiphany.

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This realization gives me the courage to leave the traditional institutional system entirely

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and build my own AI powered courseware. But I quickly realized that simply giving people

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AI tools wasn't enough at all. You can hand somebody a supercomputer, but if they don't know how to

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ask the right questions, then it's just a very expensive paperweight. The chooses. Loop engineering

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is much more important than the AI itself. We have to fundamentally change how we learn right now.

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And learning is no longer about acquiring data. Learning is simply mastering the art of learning

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how to learn. So to bridge this gap, to bridge this gap, I had developed a learning operating system

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for the AI era. I call it the DynamOS. And unlike operating systems that rely on flashy

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interfaces, this one delivers results through a core concept, I call the R.U.A. method. It stands for

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recognized, understand, and apply. Fast to recognize, in the past, learning meant staring at a

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textbook chapter. But today, recognizing means identifying the core boundaries of your learning

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target so you can prompt the AI correctly. It's the art of asking the right questions. For example,

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when learning a new word, it don't just want us for definition. The AI to recognize the meaning,

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form, and pronunciation. The main gap between you and your learning target.

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And second, to understand, this is where you synthesize. AI is not perfect. It hallucinates

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when given ambiguous prompts. So understanding is not just memorizing intrinsic meanings.

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It's grasping contextual application. AI can explain quantum physics to you like a

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5-year-old or like a PhD student. It can adjust its tone, offering a gentle suggestion, playful

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and that dial until the concept clicks in in your specific human brain.

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And thirdly, to apply, you execute the knowledge in the real world. You find the friction,

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because we all know that practice makes perfect. Where did you fail? Where did the AI hallucinate?

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The AI should be able to analyze your learning gap based on where you currently are and generate

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a proper practice task. You take the friction, and you feel that right back into the

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recognized phase to start the cycle again. The AI method isn't a study hack. It's a survival skill.

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It should be ingrained into our cognitive operating system.

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One of us started solopreneur a business. I wasn't a coder. I wasn't a marketing guru.

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But using R.U.A., a partner, was AI to build out my courseware step-by-step.

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I didn't as AI to do it for me. I asked it to coach me. I asked it to recognize my task

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understand the market, and then coach me to build the tools I'll be implementing across my classrooms.

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But I know the AI university students and educators in this room right now

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were deeply anxious. Administrators, you might be thinking, if students is AI to do their work,

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the integrity of education is gone. And students, you might be feeling guilty for using these tools,

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hiding them in the background. But why? When books were appeared, the people tried to

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hide them because they helped carry knowledge outside of our brain.

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We need to stop treating AI like a cheating device and start treating it like a cognitive

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exoskeleton. So when a student uses AI to bypass the apply phase,

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like just copying and pasting an essay, that is the cocoon, that is passive consumption,

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but when a student uses the R.U.A. method to debate with an AI, to challenge its logic,

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to generate five different perspectives on a historical event before running their own synthesis.

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That is, bridging the gap, and that is active creation.

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I am a learning architect, so as a learning architect, my job as to design experiences that

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proved this dynamic works. In fact, I designed one for you today.

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Everything you have experienced for the last 12 minutes, the structure of the speech,

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the narrative arc, the pacing, even the core outline I submitted to the TEDx

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organizes, was not created by me sitting alone in a dark room, staring at a blank document.

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It was co-architected with my AI agents. So I found the AI the raw and vulnerable materials of my

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burnout in Chengdu, my transition to a solopreneur, the mechanics of the R.U.A. method,

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and I acted as a human strategist, given that the strict parameters of the TEDx format,

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and then the AI acted as a computational engine, helping me structure the data.

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In fact, the entire RA, the whole process can be embedded into a single prompt, an AI agent,

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or a building logic behind any application. So I recognize the target. We understood the context

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and today, on this stage, I am applying it. I hope this can be the proof. The proof of the synergy

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of human vulnerability and strategic direction combined with AI's massive computational power

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creates a far superior outcome that either of us working in isolation.

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We are standing at the edge of the greatest educational revolution in human history right now,

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but technology alone will not save us from the information cocoon.

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Only a shift in our identity will do that. So to the students in the room, stop being passive

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consumers, stop letting the system spoon-feed you the data that you will forget the day after the exam,

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step outside the box, use these tools to challenge your mind and become the architect of your own

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education. And to my fellow educators, please step down from the podium, relinquish the

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heavy exhausting burden of being the content provider. Your students don't need you to be a textbook

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anymore, and they need you to be a human. They need your empathy, your mentorship, and your coating

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to help them navigate in the world that is changing faster than ever before.

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Learning is and always will be simply about learning how to learn.

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So why don't we let AI handle the data and let us handle the humanity?

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Thank you.