What's a password manager and why you probably need one
Think about how many online accounts you have. Between email, banking, social media, shopping, and that one random site you used once to buy a specific lightbulb, it’s probably dozens—if not hundreds. Now, be honest: how many of those accounts share the same password? If you’re like most people, the answer is “too many.”
A password manager is a simple tool that solves this problem once and for all. It’s essentially a digital vault that stores all your login credentials in one encrypted place. Instead of memorizing a hundred complex strings of characters, you only have to remember one “master password” to unlock the vault. It’s like having a personal assistant who remembers every key to every door in your life, so you don’t have to.
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What's the difference between AI, machine learning, and deep learning?
If you’ve spent any time reading about technology lately, you’ve probably seen the terms “Artificial Intelligence,” “Machine Learning,” and “Deep Learning” used almost interchangeably. It can feel like a game of buzzword bingo where everyone is talking about the same thing but using different names to sound more technical.
The truth is that while they are closely related, they aren’t the same thing. Think of them like Russian nesting dolls: Deep Learning is a specific type of Machine Learning, and Machine Learning is a specific type of Artificial Intelligence. Understanding which is which helps clear up the mystery behind how your favorite tools actually work.
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Which browser should you actually use? Chrome, Firefox, Safari, and Edge compared
Choosing a web browser used to be a simple decision based on which icon you liked best or which one came pre-installed on your computer. Today, the stakes are a bit higher. Your browser is your primary window to the digital world, handling everything from your banking to your social life. While they all technically “open websites,” the differences in how they handle your data, your battery life, and your productivity are significant.
In this guide, we’ll look past the marketing and dive into what actually separates Chrome, Firefox, Safari, and Edge in 2025.
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Why AI chatbots make things up: hallucination explained
If you’ve spent any time using modern AI like ChatGPT or Claude, you’ve probably had a “wait, what?” moment. You ask a question, and the chatbot gives you a perfectly formatted, highly confident answer that is completely, 100% wrong. In the industry, we call this “hallucination,” and it remains one of the most fascinating and frustrating quirks of artificial intelligence.
Even with the massive leap forward we’ve seen with “reasoner” models—which use test-time compute to “think” before they speak—AI still sometimes pulls facts out of thin air. It isn’t trying to lie to you; it’s simply doing exactly what it was designed to do: predict the next most likely word in a sequence. Understanding why this happens can help you use these tools more effectively and, more importantly, know when to take their answers with a grain of salt.
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Why do AI tools have knowledge cutoff dates?
If you’ve ever asked an AI chatbot about a news event from this morning or a software update released last week, you might have been met with a polite apology. Even the most advanced AI models often admit they have a “knowledge cutoff” — a specific point in time where their internal database simply ends. It can feel a bit strange that a tool capable of writing complex code or summarizing history books doesn’t know who won the game last night.
The reason for this isn’t just a lack of an internet connection. It’s actually a fundamental part of how modern AI is built. To understand why your favorite AI tool is “stuck” in the past, you have to look at the massive, expensive, and time-consuming process that happens before you ever send your first prompt.
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