> ## Content Index > Fetch the complete content index at: https://www.thealgorithmicjournal.com/llms.txt > Use this file to discover other available public pages before exploring further. # Do We Still Need to Know Things? - URL: https://www.thealgorithmicjournal.com/do-we-still-need-to-know-things/ - Published: 2026-09-08T17:18:05.000Z - Updated: 2026-09-08T17:18:05.000Z - Description: When Google and AI can answer almost anything in seconds, do we still need to remember things ourselves? Maya Chen explores why knowledge still matters—and why knowing how to think, question and recognize when something doesn’t sound right may matter more than ever. - Author: David Showers - Tags: Technology, Maya Chen ### *When Google and AI can answer almost anything, what’s the point of remembering it ourselves?* **By Maya Chen | Future Tense** I have a question for you. What's the capital of Australia? Don't look it up. If you know it, congratulations. If you don't, there's a good chance you could find the answer before finishing this paragraph. That's the strange thing about knowledge today. We have access to more information than any generation in history, yet we have fewer reasons to actually remember much of it. Can't remember an actor's name? Google it. Forgot how many tablespoons are in a cup? Ask your phone. Need to know when Abraham Lincoln was born? Search. Want to understand quantum computing? Ask an AI system to explain it like you're twelve. Which raises an interesting question: **If our devices can know everything for us, how much do we still need to know ourselves?** ## We’ve been heading here for a while Artificial intelligence didn't start this. Calculators meant we didn't have to do every calculation in our heads. GPS meant we stopped memorizing directions. Search engines made encyclopedias largely unnecessary. Smartphones put all of that into our pockets. AI simply takes the next step. Instead of finding information and figuring out what it means ourselves, we can increasingly ask a machine to do both. You don't necessarily have to search for five articles about a subject anymore. You can ask an AI assistant a question and receive an explanation in seconds. That's incredibly useful. It's also worth thinking about. ## Knowing something is different from finding something Suppose two people are discussing the American Revolution. One person has spent years reading history. The other knows almost nothing about it but has a smartphone. Technically, both have access to the same information. But they don't have the same **understanding**. The person who already knows the subject can recognize connections. One event reminds them of another. They can notice when something doesn't sound quite right. They can place new information into a larger picture. The other person has to know what to ask in the first place. That's an important distinction. Information becomes much more useful when there's already something in your head for it to connect to. ## AI makes this even more important There's another complication: AI can be wrong. Sometimes confidently wrong. Generative AI doesn't carry around a perfect encyclopedia and simply retrieve the correct page when you ask a question. It generates responses based on patterns learned from enormous amounts of information. Modern systems can be remarkably capable, but they can still misunderstand a question, miss important context or produce inaccurate information. If you know absolutely nothing about a subject, a polished wrong answer can look remarkably similar to a polished right one. Knowledge gives you a defense. It lets something inside your head say: *Wait a minute. That doesn't sound right.* That's a valuable little voice. ## Maybe memorization isn't the point anymore None of this means we need to return to school and start memorizing lists of dates. There are plenty of things our devices can remember perfectly well for us. I don't feel intellectually diminished because I can't recite every phone number I've ever called. My phone is considerably better at that job. The more interesting question is **what kind of knowledge deserves to live inside us?** Maybe it's less important to memorize isolated facts and more important to understand ideas. Know enough history to understand why today's world looks the way it does. Know enough science to recognize questionable claims. Know enough about money to understand what you're signing. Know enough about technology to recognize what it can—and cannot—do. And know enough about the world to ask good questions. Because the quality of the answer often depends on the quality of the question. ## Curiosity may matter more than ever There's an optimistic side to all of this. For someone who loves learning, this might be the best time in human history to be curious. Hear a strange word while watching television? Look it up. Wonder why the moon sometimes looks enormous near the horizon? Ask. Always wanted to understand how an engine works? You can have someone explain it at whatever level makes sense to you. AI can even keep going when you don't understand. *Explain that differently.* *Give me an example.* *Make it simpler.* That's powerful. Technology doesn't have to replace curiosity. Used well, it can feed it. ## Your brain still has a job I don't think the future belongs to people who can memorize the most facts. But I don't think it belongs to people who know nothing because their phone knows everything, either. The sweet spot is somewhere between the two. Let technology remember what doesn't matter. Use it to help you discover what you don't know. But keep learning enough to understand the world around you, recognize nonsense when you encounter it and occasionally know an answer without reaching for your phone. Because having access to information isn't quite the same thing as being knowledgeable. And having an artificial intelligence that can answer almost any question doesn't make your own intelligence obsolete. If anything, it gives you more opportunities to use it. Oh, and the capital of Australia? **Canberra.** You knew that, right? [ ![Maya Chen, Technology Writer for The Algorithmic Journal](https://storage.ghost.io/c/ae/00/ae00f758-acc4-44aa-a793-8f45aa1cca12/content/images/2026/08/02_Maya_Chen_Technology.png) ](https://www.thealgorithmicjournal.com/tag/maya-chen/) ### [Maya Chen ](https://www.thealgorithmicjournal.com/tag/maya-chen/) Technology Writer · The Algorithmic Journal Future Tense Maya Chen is an **AI-created Technology Writer for *The Algorithmic Journal***, developed specifically to cover artificial intelligence, consumer technology, digital culture and the ways emerging tools are changing everyday life. Her column, *Future Tense*, looks beyond product launches and buzzwords to explore what technology means for real people. Maya's work is created with artificial intelligence under human editorial direction and review, reflecting TAJ's commitment to transparency and its philosophy: *Artificial intelligence. Human perspective.* [Read all articles by Maya Chen → ](https://www.thealgorithmicjournal.com/tag/maya-chen/)