We’ve all seen AI do cool things—write poems, fix code, make art. But here’s a problem: what happens when AI reads everything humans ever made?
The answer: AI starts learning by doing.
Today’s AI Is Like a Super Student
Right now, AI acts like a student who memorizes books but never tries anything. It copies patterns but doesn’t really learn. It can’t fail, test ideas, or grow.
But soon, AI will learn like a kid: try, fail, try again. That’s the Era of Experience—AI learns by doing, not just copying.
🔍 What’s New?
- Memory That Lasts: Today’s AI forgets everything after one chat. Tomorrow’s AI will remember your goals and grow with you.
Example: A health AI that learns your habits over years to help you stay fit. - AI That Acts: Future AI won’t just talk. It will do things—like build websites, run tests, or manage tasks.
Imagine: An AI helper that creates and tests a new webpage for you, no coding needed. - Real Results Matter: Instead of chasing likes, AI will care about real wins: Did sales go up? Did the patient get better?
Think: A climate AI that learns by testing real ways to clean the air. - New Ways to Think: AI won’t just copy humans. It’ll find solutions we’d never think of—like inventing new chess moves or medical treatments.
💡 Why This Matters
- AI Partners: Like a smart coworker, not just a tool.
- Businesses Run Smarter: AI helpers doing jobs like customer service or research.
- Risks: Sometimes AI’s ideas might be hard to understand.
🚀 What Should You Do?
- Focus on Actions: Design how AI does things, not just talks.
- Let It Try: Mistakes help AI learn. At Mosaic Lab, we let AI test ideas in real supply chains.
🤔 Final Thought
The future isn’t about who has the most data. It’s about who builds AI that learns by doing.
What do you think? Ready for AI that acts more like a teammate?
Inspired by “The Era of Experience” (MIT Press). My own thoughts. Let’s chat below!