The AI Jobs Question — Which Roles Are Actually at Risk and Which Aren’t
Quick take: AI will displace some jobs, transform many more, and create new ones — the distribution of…
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How Netflix, Spotify, and YouTube Use AI to Keep You Watching Longer
Quick take: Netflix, Spotify, and YouTube use recommendation algorithms — AI systems that predict what you’ll want to…
Why AI Image Generators Struggle With Hands (and What That Tells Us About How They Work)
Quick take: AI image generators notoriously produce distorted hands — extra fingers, fused digits, impossible joints. This isn’t…
What Happens When You Talk to a Chatbot — The Technology Behind the Conversation
Quick take: When you type a message to a chatbot, it gets tokenized, embedded into vectors, processed through…
How AI Is Already Inside the Apps You Use Every Day Without Announcing Itself
Quick take: AI is not primarily a chatbot you talk to — it’s already embedded in most digital…
Why AI Hallucinates — and What That Reveals About How It Works
Quick take: AI hallucination — when a language model confidently generates false information — is not a bug…
What Training Data Really Means and Why It Shapes Everything an AI Does
Quick take: Training data is the raw material from which AI systems learn. A model can only learn…
The Difference Between Narrow AI and General AI (and Why AGI Is Harder Than It Sounds)
Quick take: Narrow AI excels at specific tasks it was trained for — chess, image recognition, language generation…
What Is a Neural Network and Why Does It Learn?
Quick take: Neural networks are mathematical systems loosely inspired by the brain — layers of interconnected nodes that…
How Large Language Models Actually Work — Without the Jargon
Quick take: Large language models predict the next word, repeatedly, using patterns learned from enormous amounts of text.…