Ask any AI model a question, and you’ll have an answer in seconds. Here's the dilemma: when information becomes effortless to access, do we actually learn anything?
It's true that it's easy to appear like a modern day genius with quick access to a world of information at your fingertips behind your keyboard and screen. However, a lot of the discourse around this leans alarmist, AI is making us dumber, lazier, forgetful. Perhaps maybe it's more complicated than that.
Psychologists call it the [Google Effect](): we’re less likely to retain facts we know we can easily look up. Pair that with [cognitive offloading](), our habit of relying on devices for memory, and you get a world where recall fades and surface-level learning becomes the norm. However, What if that’s only half the picture?
🔄 A Contrarian Take: Maybe We’re Adapting, Not Declining
Let’s flip the narrative for a moment. Humans have long used external tools to store knowledge, from handwritten scrolls to libraries, hard drives, and now, AI. Some argue the human brain was never meant to handle this much information, never meant to access and entertain so much, so fast. And in some ways, that might be true. But in many ways, it’s exactly what has pushed us forward as a society. Maybe our brains aren’t failing at retention, we might just need to adapt to an era of information abundance.
In this light, AI becomes the next evolution of our [external brain](https://www.sciencedirect.com/science/article/pii/S0893608013000056): a tool that helps us store less, but process more. If used well, AI could free us from mechanical memorization so we can focus on higher-order thinking, like synthesis, creativity, and critical analysis. Still, that only works if we’re intentional. AI can enable deep learning, but it can just as easily flatten it.
🔁 Reclaiming Active Learning in the Age of AI
The line between tool and crutch is thin. So how do we make sure we’re still learning with AI, not outsourcing thinking to it?
Here are a few high-friction, high-retention ways to re-engage:
1.🔁 Reconstruct, don’t just retrieve
Instead of copying the AI’s answer, rephrase it. Teach it back. Use the “teach me like I’m 5” method. Ask it to explain something in three ways—through metaphor, step-by-step reasoning, or comparison, then choose the one that actually sticks. The act of reconstructing forces your brain to process and encode the knowledge, rather than just recognizing it on the surface.
2.🧠 Use AI to push back
Prompt it to challenge your assumptions or simulate opposing views. Try: “Play devil’s advocate,” or “What’s a strong argument against this idea?” Socratic questioning—even through a chatbot—helps build cognitive flexibility. It’s less about winning a debate and more about pressure-testing your thinking.
3.📝 Quiz yourself, then ask AI to check your logic
Retrieval beats review. Instead of re-reading highlights or summaries, quiz yourself from memory. Then ask AI to double-check your answer or walk you through what you missed. You can also turn your notes into flashcards, or use tools like Readwise to resurface highlights daily. That mix of active recall and digital reminders helps you store ideas in both your physical and digital memory banks.
4.🎨 Go multimodal
Ask AI to express the same concept in different formats, a diagram, an analogy, a piece of code, a timeline, a poem. Seeing the idea through multiple lenses helps reinforce the neural pathways that connect it to what you already know. Then challenge yourself to evaluate which version helped you understand it best—and why.
5.🛠 Build from it
Don’t stop at understanding, create something. Turn what you’ve learned into an article, a drawing, a small tool, or even just a conversation. One thing I’ve been experimenting with in The Contemporary Polymath newsletter is this: every time I write about a topic, I try to share what I learned with at least one person. Having to explain it, out loud, makes it click in a different way than just writing ever could.
🧩 Where This Leaves Us
There’s no going back to a pre-AI world. And maybe we shouldn’t want to. AI isn’t making us dumb, but unchecked, it can make us mentally passive. What comes next depends on how we choose to engage: Do we use it to think faster, or to stop thinking altogether?
The better question might be: What do we want our minds to be good at in this new landscape? Memorization? Or meaning-making? The smartest learners won’t be the ones who hoard the most facts. They’ll be the ones who know how to ask better questions, challenge easy answers, and keep sharpening their ability to think critically and logically with AI in the room, not in its shadow.
Ask any AI model a question, and you’ll have an answer in seconds. Here's the dilemma: when information becomes effortless to access, do we actually learn anything?
It's true that it's easy to appear like a modern day genius with quick access to a world of information at your fingertips behind your keyboard and screen. However, a lot of the discourse around this leans alarmist, AI is making us dumber, lazier, forgetful. Perhaps maybe it's more complicated than that.
Psychologists call it the [Google Effect](): we’re less likely to retain facts we know we can easily look up. Pair that with [cognitive offloading](), our habit of relying on devices for memory, and you get a world where recall fades and surface-level learning becomes the norm. However, What if that’s only half the picture?
🔄 A Contrarian Take: Maybe We’re Adapting, Not Declining
Let’s flip the narrative for a moment. Humans have long used external tools to store knowledge, from handwritten scrolls to libraries, hard drives, and now, AI. Some argue the human brain was never meant to handle this much information, never meant to access and entertain so much, so fast. And in some ways, that might be true. But in many ways, it’s exactly what has pushed us forward as a society. Maybe our brains aren’t failing at retention, we might just need to adapt to an era of information abundance.
In this light, AI becomes the next evolution of our [external brain](https://www.sciencedirect.com/science/article/pii/S0893608013000056): a tool that helps us store less, but process more. If used well, AI could free us from mechanical memorization so we can focus on higher-order thinking, like synthesis, creativity, and critical analysis. Still, that only works if we’re intentional. AI can enable deep learning, but it can just as easily flatten it.
🔁 Reclaiming Active Learning in the Age of AI
The line between tool and crutch is thin. So how do we make sure we’re still learning with AI, not outsourcing thinking to it?
Here are a few high-friction, high-retention ways to re-engage:
1.🔁 Reconstruct, don’t just retrieve
Instead of copying the AI’s answer, rephrase it. Teach it back. Use the “teach me like I’m 5” method. Ask it to explain something in three ways—through metaphor, step-by-step reasoning, or comparison, then choose the one that actually sticks. The act of reconstructing forces your brain to process and encode the knowledge, rather than just recognizing it on the surface.
2.🧠 Use AI to push back
Prompt it to challenge your assumptions or simulate opposing views. Try: “Play devil’s advocate,” or “What’s a strong argument against this idea?” Socratic questioning—even through a chatbot—helps build cognitive flexibility. It’s less about winning a debate and more about pressure-testing your thinking.
3.📝 Quiz yourself, then ask AI to check your logic
Retrieval beats review. Instead of re-reading highlights or summaries, quiz yourself from memory. Then ask AI to double-check your answer or walk you through what you missed. You can also turn your notes into flashcards, or use tools like Readwise to resurface highlights daily. That mix of active recall and digital reminders helps you store ideas in both your physical and digital memory banks.
4.🎨 Go multimodal
Ask AI to express the same concept in different formats, a diagram, an analogy, a piece of code, a timeline, a poem. Seeing the idea through multiple lenses helps reinforce the neural pathways that connect it to what you already know. Then challenge yourself to evaluate which version helped you understand it best—and why.
5.🛠 Build from it
Don’t stop at understanding, create something. Turn what you’ve learned into an article, a drawing, a small tool, or even just a conversation. One thing I’ve been experimenting with in The Contemporary Polymath newsletter is this: every time I write about a topic, I try to share what I learned with at least one person. Having to explain it, out loud, makes it click in a different way than just writing ever could.
🧩 Where This Leaves Us
There’s no going back to a pre-AI world. And maybe we shouldn’t want to. AI isn’t making us dumb, but unchecked, it can make us mentally passive. What comes next depends on how we choose to engage: Do we use it to think faster, or to stop thinking altogether?
The better question might be: What do we want our minds to be good at in this new landscape? Memorization? Or meaning-making? The smartest learners won’t be the ones who hoard the most facts. They’ll be the ones who know how to ask better questions, challenge easy answers, and keep sharpening their ability to think critically and logically with AI in the room, not in its shadow.
